Devops Engineer Jobs

We are looking for a highly skilled Sr Software Engineer with strong expertise in Full Stack development and GenAI-powered engineering solutions. The ideal candidate should have hands‑on experience building scalable enterprise applications using Node.js and React, while also leveraging modern AI/GenAI technologies to improve product capabilities and engineering productivity. This role requires strong frontend and backend engineering expertise, cloud‑native development exposure, and the ability to work effectively within Agile product engineering teams. Key Responsibilities Design, develop, and maintain scalable enterprise web applications using Node.js and React Build responsive and reusable frontend components using modern React concepts including Hooks and Context API Develop secure, scalable RESTful and GraphQL APIs using Node.js frameworks such as Express or Fastify Design and manage relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis Implement automated unit, integration, and end‑to‑end testing using Jest and React Testing Library Contribute to architecture discussions, code reviews, and engineering best practices Mentor junior engineers and collaborate within Agile/Scrum teams Work closely with Product, Design, DevOps, and business stakeholders for successful product delivery Support scalable microservices and distributed application architectures Contribute to GenAI‑powered engineering and modern AI‑assisted development initiatives Required Skills & Experience Strong hands‑on experience in: Node.js React JS Full Stack Development GenAI / AI‑assisted engineering Expert‑level proficiency in JavaScript (ES6+) and TypeScript Strong experience with: React 18+ Redux / Zustand Tailwind CSS / Styled Components Strong backend development expertise with Node.js and microservices architecture Experience building RESTful APIs and GraphQL services Strong understanding of asynchronous programming and scalable application development Hands‑on experience with: Docker Kubernetes Jenkins / GitLab CI AWS / Azure Cloud Platforms Strong knowledge of authentication and security protocols including JWT, OAuth, and SSO Experience with SQL and NoSQL databases Preferred Candidate Profile Strong problem‑solving and ownership mindset Ability to drive features from design to deployment Excellent communication and stakeholder collaboration skills Experience working in Agile product engineering environments Passion for modern software engineering and AI‑driven development practices #J-18808-Ljbffr

Experience - 3 to 10 Years Job Location - Mumbai Notice Period - 0 to 30 Days Position Statement / Purpose: The primary functions of this role will be to drive performance and stability improvements of client applications and infrastructure to ensure optimal end user experience working closely with Apps Dev and key Operations groups. Will be responsible for monitoring infrastructure capacity (cloud & on Prem) and identifying opportunities to reduce costs without sacrificing the performance or availability of our infrastructure. Key Deliverables (Key Result Areas): • Monitor performance tests and report PE observations. • Identify performance issues/bottlenecks and recommend resolutions. • Tracking issues/bottlenecks resolution to closure. • Present PE observations and resolutions to project stakeholders and leads. • Participate in Customer engagement activities like with periodic review meetings (monthly / quarterly, etc) • Perform Architecture Reviews cross different architecture styles. • Training & Mentoring junior PEs. • Contribution to Documentation and Knowledge Management. • Conduct classroom & online trainings • Formulate plans and implement growth of PE practise. • Contribute to new recruitments (shortlisting, interview, induction, etc) Key Responsibilities (Job Description): • Technical • Understand application architecture, scoping sheet, project objectives, etc • Provide pre-requisites for PE activities • Validate performance issues • Review load profile for load, stress, and endurance tests to simulate real-world usage scenarios. • Expertise in optimizing application, web server configurations, etc to ensure optimal performance of different systems. • Analyse different application logs, errors logs, etc to identify trends and issues. • Thorough understanding of memory management, garbage collection, different application pools, etc to troubleshoot performance issues. • Knowledge of Database management, query tuning, indexing, etc for database optimization • Knowledge of different observability tools like Grafana, Prometheus, etc for performance tracking. • Optimize application and web server configurations to ensure optimal performance. • Understand memory management concepts including SGA, PGA, heap size, and session management. • Possess strong analytical skills to diagnose performance test bottlenecks • Understand load balancing algorithms and integration layers including MQ, Kafka, IIB, RabbitMQ, etc. • Analyse TCP dumps using Wireshark for network troubleshooting. • Understanding of microservices architecture, Docker, Kubernetes environment, etc. • In-depth understanding of system architecture, database systems, and networking • Excellent problem-solving skills and attention to detail. • Experience with performance engineering tools and methodologies. • Proven track record of successful performance engineering projects. • Contribute to capacity planning • Process • Possess different domain expertise to devise performance analysis strategies tailored to specific sectors. • Build a thorough understanding of application functionality, execution flow, and interdependencies. • Develop and implement performance engineering strategies to assess software applications' performance and scalability. • Lead and coordinate performance engineering efforts across different projects and teams. • Collaborate with architects, developers, and other stakeholders to optimize system performance. • Mentor and guide performance engineers, providing technical expertise and support. • Analyse performance testing results to identify bottlenecks, areas for improvement, and trends. • Provide actionable recommendations for performance improvements and architectural changes. • Create and present performance reports to project teams and management. • Stay updated with industry best practices and emerging trends in performance engineering. • Stay updated with industry trends and emerging technologies related to performance engineering. • Contribute to Architecture Review • Governance • Document PE observations for tests • Document monthly report on PE activities • Help identifying and fixing the monitoring gaps. • Help identifying and fixing the performance testing gaps. • Client Satisfaction and Escalations • Preparing client reports of PE triage activities • Address client performance concerns in a timely and professional manner. • Provide clear and concise explanations to clients regarding performance issues and solutions. • Collaborate with client teams to implement performance improvements as necessary. Key Performance Measures and KPIs • Develop and present case studies, whitepapers, presentation, IP creation, Client Demo’s etc • Participant or conduct Webinars and Technical sessions. • Number of projects supported for PE activities. • Number of issues/bottlenecks identified (beyond reported by client) and tracked to closure. • Number of root cause analysis (RCAs) & recommendations provided. • Timelines management of the overall project. • Number of technical / non-technical seminars/webinars presented or attended. • Number of PE specific project case studies prepared for Sales/Presales team. • New Initiatives at Organization level. • KPIs – • Quality Ownership - Track performance issue/bottlenecks to closure. • Organizational Process Adherence – • Timesheet Filling • Timely Applying leaves • Attendance Discipline • Skill Enablement • KT Sessions • LinQ certifications • Other PE technologies/tool certification. Key Decision Pointers (capture any decision-making authority, if any) • This role is an individual contributor and providing the inputs for further decision making. Mandated Certifications in the role: • Completion of PE 101 • Completion of PE 102 Linked Career Roles – • Senior Performance Lead • APM roles. • SRE • DevOps • Through learning and certifications, Internal Job Rotations available across the organization. Background: • Education: • Graduates – BE/BTech (IT), BSc/MSc (IT) or equivalent. • Skills / Certifications: • Experience: • 3 years to 10 years of relevant Performance Engineering Experience. • Technical • Sound understanding of different architecture types – Monolithic, SOA, Microservices, etc. • Familiarity with docker and Kubernetes technologies, etc. • Sound understanding of different architecture styles – Client Server, Layered, P2P, N-Tier, Event Driven, etc. • Understanding of different OS, configuration, memory management, etc. • Working knowledge of Load Balancer, Web Server, App Server, Database Server. • Knowledge of Caching tools and technologies, CDN, etc. • Expertise in server-side & client-side performance tuning tools and process • Expertise in Garbage Collection analysis, Thread dump analysis, heap dump analysis, etc. • Expertise in Network troubleshooting tools, log analysis and observability tools, etc. • Expertise in application monitoring using APM tools, JVM utilities, Cloud tools, etc. • Expertise in core Linux utilities, shell scripting, log analysis tools. • Knowledge of any programming knowledge like Java, Python, etc. • Knowledge of encryption, decryption, etc. • Knowledge and hands-on experience with any of the Cloud technologies, etc. • Develop skills in advance PE tools and technologies. • Build expertise in latest technologies like Blockchain, GenAI, automation, etc. in future. • Functional • Good to have domain level knowledge of Banking, Finance, securities trading, etc. • Behavioural/Soft Skills • Effective communication skills and ability to articulate properly

Job Objective Design, build, and maintain end‑to‑end application components—covering both front-end user experiences and backend services—to deliver reliable, scalable, and secure digital products. This role focuses on developing production-ready Python FastAPI services, React/Next.js front-end applications, and API-driven integrations across enterprise systems. The engineer will contribute to building maintainable, testable, and secure solutions that align with ERM’s engineering standards and help strengthen internal capability as part of cross-functional delivery teams. Key Accountabilities & Responsibilities Full‑Stack Application Development • Build and maintain backend API services using Python (FastAPI) and modern engineering patterns. • Develop responsive front-end interfaces using React / Next.js, ensuring usability, consistency, and performance. • Implement end-to-end application logic, connecting UI components with backend services and underlying data layers. • Ensure API contracts, service logic, and integration patterns are maintainable, well‑documented, and aligned with solution architecture. Systems Integration & API Connectivity • Build integrations between internal/external systems using REST, GraphQL, and event-driven patterns. • Work with architects and platform teams to implement secure API authentication/authorization (OAuth2, JWT, SSO, etc.). • Ensure seamless interoperability across the broader application landscape by following standard integration patterns. Quality, Reliability & Maintainability • Apply solid engineering practices including automated testing (unit, integration), code reviews, and peer collaboration. • Contribute to observability (logging, metrics, tracing) and troubleshooting across environments. • Follow secure coding practices aligned with ERM standards and industry best practices. Data, Storage & Application State • Work with relational databases (e.g., PostgreSQL) and design efficient data access patterns. • Support implementation of caching, session management, and state-handling aligned with product needs. • Collaborate with data/AI engineers where relevant for backend integration scenarios. Collaboration & Delivery • Work closely with architects, designers, and AI/back-end engineers within pod-based delivery teams. • Contribute to solution delivery in line with agreed engineering standards—including maintainability, security, and operational readiness. • Participate in knowledge transfer, documentation, and continuous improvement of delivery practices. • Support the transition of application capabilities from third‑party vendors to internal teams where relevant. Influence And Decision-Making Authority • Shape implementation approaches for full-stack workflows, API integration patterns, and design of user-facing components. • Recommend improvements to application performance, maintainability, and usability based on testing and user feedback. • Contribute technical inputs into reusable engineering components, coding standards, and delivery practices across teams. Job Requirements & Capabilities Education & Experience • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. • Typically 5+ years of full-stack development experience in production environments. • Demonstrable experience delivering end-to-end applications—including UI, API services, and integrations. • Experience working in cross-functional engineering teams (architects, product owners, DevOps/platform engineers, etc.). Technical Skills • Strong Python development skills and hands-on experience with FastAPI for backend service development. • Experience building modern front‑end applications using React or Next.js. • Strong understanding of API design, service-to-service communication, error handling, and integration patterns. • Experience with relational databases (SQL), ORM frameworks, and data modeling. • Understanding of secure development practices (input validation, access control, secrets handling, etc.). • Familiarity with CI/CD pipelines and working in cloud environments (AWS/Azure). Behavioural Skills • Strong problem-solving ability with a delivery-oriented mindset. • Clear communicator who can collaborate across technical and non-technical stakeholders. • Pragmatic approach to maintainability, testing, and iterative development. • Willingness to learn, adapt, and work in fast-evolving technology environments. Desirable / Nice to Have • Experience with AWS services (Lambda, ECS, S3, RDS, CloudFront, API Gateway). • Familiarity with containerization (Docker) and Kubernetes deployments. • Exposure to frontend performance optimization and UX best practices. • Experience in pod-based delivery or cross-functional product engineering teams. • Exposure to AI/LLM-integrated applications or backend interaction with RAG services.

Job Summary Synechron is seeking a highly experienced AI Technical Specialist to spearhead and coordinate AI projects across development, testing, and deployment phases. This role involves identifying impactful AI use cases, leading hands-on implementation of AI models, and ensuring seamless integration into existing systems and workflows. The ideal candidate will stay abreast of the latest advancements in AI platforms and large language models (LLMs), providing technical mentorship and strategic guidance to foster innovation and operational excellence in enterprise AI initiatives. Software Requirements Required Software Proficiency: • Python (latest stable version, e.g., Python 3.8+) — extensive experience in developing, testing, and refining AI models • Frameworks: TensorFlow, PyTorch — proven expertise supporting model training, tuning, and production deployment • Cloud platforms supporting AI workloads: AWS, GCP, or Azure — experience deploying AI models in cloud environments (preferably) • Data management tools: SQL, NoSQL databases supporting data preparation, storage, and retrieval for AI projects • Version control: Git/GitHub — strong collaboration and code management skills Preferred Software Skills: • Large Language Models (LLMs) such as GPT, BERT, or similar — hands-on experience in fine-tuning, prompt engineering, and deployment support • AI orchestration tools: MLflow, Kubeflow — for model lifecycle management supporting MLOps best practices • Automation tools supporting CI/CD pipelines for AI solutions (e.g., Jenkins, Azure DevOps) Overall Responsibilities • Lead end-to-end AI initiatives—from use case identification to model deployment and support—aligning solutions with organizational objectives • Develop, train, and refine AI models supporting business challenges, focusing on accuracy, scalability, and efficiency • Collaborate with cross-functional teams, including product managers, data scientists, and DevOps, to integrate AI capabilities seamlessly • Stay current with emerging AI advancements, evaluating new models, tools, and platform capabilities for enterprise applicability • Conduct model performance evaluation, tuning, and validation to meet quality standards and operational parameters • Mentor team members on AI best practices, code development, and model management strategies • Support the implementation of MLOps pipelines supporting model versioning, monitoring, and continuous improvement • Document technical requirements, model architecture, deployment procedures, and operational guidelines supporting compliance and audit readiness Technical Skills (By Category) • Languages & Frameworks (Essential): • Python: core language supporting development, training, and inference of AI models • TensorFlow, PyTorch: for training, tuning, and deploying deep learning models • Models & Data Management: • Experience working with large datasets, data pre-processing, and managing models’ lifecycle (training, validation, deployment) • Cloud & Infrastructure: • AWS, GCP, or Azure supporting cloud deployment of AI models (preferred) • Support for cloud-native AI services and infrastructure automation supporting scalability and reliability • Tools & Platforms: • Model development and management: MLflow, Kubeflow (preferred) • CI/CD automation supporting model deployment, monitoring, and retraining processes • Security & Governance: • Knowledge of ML model security, data privacy standards, and compliance support (e.g., GDPR, HIPAA) Experience Requirements • 7+ years of experience leading AI model development, deployment, and optimization in enterprise environments • Proven track record of supporting large-scale AI solutions, including LLM fine-tuning and deep learning models • Strong experience supporting AI model lifecycle management and deploying models in cloud environments • Demonstrated leadership in coaching teams, fostering innovation, and implementing best practices in AI/ML workflows • Experience in regulated industries such as finance, healthcare, or enterprise technology environments is preferred Day-to-Day Activities • Lead the development, testing, and deployment of AI models supporting business use cases • Collaborate with data scientists, developers, and DevOps teams to support model training, evaluation, and productionization • Support the automation of model deployment pipelines, monitoring, and retraining workflows supporting MLOps practices • Conduct model performance evaluation, interpretability analysis, and calibration to ensure accuracy • Troubleshoot issues related to data, model inference, and deployment environments • Evaluate new AI models, frameworks, and cloud services to optimize enterprise capabilities • Document model architecture, deployment plans, and operational procedures supporting compliance and ongoing support Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field • 7+ years supporting AI/ML model development, deployment, and lifecycle management in enterprise settings • Certifications in cloud platforms (AWS, GCP, Azure) or AI/ML tools/supporting frameworks are a plus • Extensive experience deploying secure, scalable, and compliant AI models supporting large operational environments Professional Competencies • Strong analytical and troubleshooting skills supporting complex model inference and deployment issues • Leadership and mentorship in coaching teams on AI best practices and technical excellence • Effective stakeholder communication and documentation capabilities supporting enterprise projects • Adaptability to rapidly evolving AI frameworks, data security standards, and industry regulations • Strategic thinking supporting scalable, secure, and compliant AI solutions supporting enterprise growth • Organizational skills for managing model lifecycle, versioning, monitoring, and retraining workflows S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice

Mission We are looking for an Lead Architect to provide guidance on hybrid Cloud + Edge IoT architecture, application and data design, ensuring scalable solutions across 100 sites. This professional will Lead CI/CD, IaC, and reliable deployments while acting as the key technical interface across teams, contributing hands-on to coding alongside architecture and DevOps. Key Responsibilities and Skillset • Strong hands-on development expertise in .NET Core, ASP.NET Core, and C , consistently delivering production-quality code, supported by experience with Entity Framework Core and PostgreSQL. • Advanced application and data architecture skills, including service-oriented architecture, microservices patterns, domain-driven design, and data model design across relational (PostgreSQL), event-driven, and time-series paradigms. • Deep cloud and infrastructure expertise on AWS, leveraging services such as EKS, Lambda, S3, API Gateway, CloudFront, Secrets Manager, and CloudWatch, alongside Terraform for infrastructure-as-code across both cloud and edge environments. • Containerization and distributed systems expertise, including Kubernetes (EKS and EKS Anywhere for edge deployments), Docker, Kafka (MSK), Debezium, and hybrid architecture patterns (edge-to-cloud synchronization, intermittent connectivity handling, deployment at scale). • Robust DevOps and performance engineering capabilities, using GitHub, GitHub Actions, YAML-based CI/CD pipelines, and application performance monitoring tools (CloudWatch, Prometheus, Grafana, InfluxDB) to ensure reliability across cloud and edge deployments. • Modern engineering practices and collaboration, including daily use of AI coding assistants (GitHub Copilot or equivalent), AI-assisted code review, AI-driven testing and documentation generation, strong technical documentation skills, and experience working in distributed, international, remote-first teams within governance-driven environments. Preferred/Ideal Experience • Experience with OPC/IoT technologies, including OPC UA, OPC Publisher, and industrial data ingestion. • Exposure to MES (Manufacturing Execution Systems) and manufacturing-focused solution delivery. • Strong understanding of manufacturing KPIs, including OEE/GE, material tracking, energy monitoring, quality management, and asset condition monitoring. • Proven experience managing multi-site deployments and large-scale rollouts across numerous locations. • Expertise in time-series data handling using InfluxDB across edge and cloud environments, along with identity management solutions such as Keycloak. • Experience supporting operations teams and coordinating production releases at scale. Contract Details • Start date: ASAP (flexible) • Contract type: Freelance with option to go permanent • Length: Contract for 6 months + extension or option to go permanent • Workload: Full-time • Location: India (Remote) • Time zone: CET If you are interested in this role, click on the apply button or send an email Let op: vacaturefraude Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding: Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN). Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website. Important: job fraud Unfortunately, job fraud is becoming more common. Beware of such scams: We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call. If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.

About This Opportunity Are you ready to lead the future of intelligent automation and AI innovation at one of the world's leading insurance and financial services companies? Allianz is seeking an exceptional Senior AI & RPA Development Lead to spearhead our AI and automation transformation. In this high-impact role, you'll lead a talented team of AI/ML engineers and RPA developers, driving measurable business value through cutting-edge artificial intelligence, machine learning, and robotic process automation solutions at enterprise scale. This is more than a technical leadership role—it's an opportunity to shape how Allianz leverages AI and automation to deliver superior customer experiences, operational excellence, and competitive advantage in the digital age. What You'll Do Lead & Inspire a High-Performing Team • Build and mentor a diverse team of AI/ML engineers and RPA developers, fostering a culture of innovation, collaboration, and continuous learning • Set strategic direction and technical vision for AI and automation initiatives aligned with business priorities • Conduct performance reviews, establish career development paths, and grow technical capabilities across the team • Champion engineering excellence through best practices in code quality, testing, documentation, and knowledge sharing Drive End-to-End AI & Automation Solutions • Own the complete lifecycle of AI and RPA solutions—from opportunity discovery and business case development through design, implementation, deployment, and optimization • Manage the product roadmap for AI/ML and RPA initiatives, prioritizing high-value use cases and balancing quick wins with strategic transformations • Translate complex business challenges into elegant technical solutions with clear ROI and measurable impact • Collaborate cross-functionally with business stakeholders, data teams, IT infrastructure, and governance functions to ensure successful delivery Architect & Deliver Advanced AI/ML Solutions • Design and implement production-grade ML systems including supervised/unsupervised learning, natural language processing (NLP), large language models (LLMs), computer vision, and predictive analytics • Build robust MLOps pipelines covering model training, versioning, evaluation, deployment, monitoring, drift detection, and automated retraining • Leverage cutting-edge LLM technologies including Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and agentic AI workflows • Evaluate and integrate AI services (Azure OpenAI, AWS Bedrock, etc.) ensuring compliance with Allianz standards while optimizing for cost, performance, and security • Implement responsible AI practices including bias detection, model explainability, and ethical AI governance Scale Intelligent Process Automation • Lead RPA solution architecture and delivery across business processes using platforms like UiPath, Automation Anywhere, or Microsoft Power Automate • Establish automation governance covering bot lifecycle management, change control, exception handling, monitoring, and business continuity • Design intelligent automation combining RPA with AI/ML capabilities (document intelligence, cognitive automation, decision intelligence) • Ensure compliance and auditability through proper logging, access controls, segregation of duties, and regulatory adherence Measure Impact & Drive Continuous Improvement • Define and track KPIs including model accuracy, inference latency, automation success rates, cost efficiency, time savings, error reduction, and user adoption • Lead optimization cycles through A/B testing, post-implementation reviews, and data-driven refinement • Report business value to leadership with clear metrics demonstrating ROI and strategic impact • Foster innovation culture by staying current with emerging AI/automation trends and piloting new technologies What You Bring Required Experience & Qualifications Leadership & Delivery Excellence: • 7+ years in software engineering, ML engineering, or automation development • 3+ years in technical team leadership, engineering management, or lead developer roles • Proven track record of delivering AI/ML systems to production at scale • Demonstrated success building and scaling RPA solutions that drive measurable business outcomes • Experience managing cross-functional projects with multiple stakeholders and competing priorities AI/ML Expertise: • Hands-on experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost) • Deep knowledge of NLP and LLM technologies including OpenAI/Azure OpenAI, LangChain, LlamaIndex, prompt engineering, and RAG architectures • Proficiency with MLOps tools and practices (MLflow, model registries, experiment tracking, CI/CD for ML) • Experience with vector databases (FAISS, Pinecone, Azure AI Search, Weaviate) and embedding models • Understanding of model monitoring, drift detection, and continuous learning systems RPA & Automation Mastery: • Expert-level experience with RPA platforms such as UiPath, Automation Anywhere, or Microsoft Power Automate • Strong understanding of orchestration and workflow management (UiPath Orchestrator, Azure Logic Apps) • Knowledge of automation patterns: attended/unattended bots, exception handling, retry logic, human-in-the-loop workflows • Experience with intelligent document processing (IDP) and cognitive automation Technical Foundation: • Strong programming skills in Python (pandas, NumPy, scikit-learn) as primary language • Familiarity with C#/.NET, JavaScript/TypeScript for integrations and bot development • Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architectures • Proficiency in containerization and orchestration (Docker, Kubernetes) • Solid understanding of data engineering: SQL, data modeling, ETL/ELT, data pipelines, data lakes/warehouses • Knowledge of API development and integration (REST, GraphQL, webhooks, OAuth) • Experience with CI/CD pipelines and DevOps practices Education: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) Preferred Qualifications • Experience in financial services, insurance, or highly regulated industries • Certifications in AI/ML (AWS ML Specialty, Azure AI Engineer, Google ML Engineer) or RPA (UiPath Advanced Developer, Automation Anywhere Master) • Knowledge of data governance, privacy regulations (GDPR, CCPA), and AI ethics frameworks • Experience with Agile/Scrum methodologies and product management practices • Familiarity with generative AI safety, red teaming, and prompt injection mitigation • Background in change management and digital transformation initiatives Core Technical Skills AI/ML Stack: • Languages: Python (pandas, NumPy, scikit-learn), SQL • ML Frameworks: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face Transformers • LLM Technologies: OpenAI API, Azure OpenAI Service, LangChain, LlamaIndex, prompt engineering, RAG, fine-tuning • Vector Databases: FAISS, Pinecone, Azure AI Search, Chroma, Weaviate • MLOps: MLflow, Weights & Biases, Kubeflow, Azure ML, SageMaker, model registry, experiment tracking • Monitoring: Data drift detection, concept drift, model performance tracking, observability tools • Data Engineering: ETL/ELT tools, dbt, Delta Lake, Parquet, Azure Synapse, BigQuery, Redshift, Databricks RPA & Automation Stack: • RPA Platforms: UiPath (Studio, Orchestrator, AI Center), Automation Anywhere, Microsoft Power Automate (cloud + desktop) • Workflow Orchestration: UiPath Orchestrator, Azure Logic Apps, Apache Airflow • Automation Patterns: Attended/unattended bots, exception handling, retry policies, human-in-the-loop, queue management • Document Intelligence: Azure Form Recognizer, UiPath Document Understanding, intelligent OCR Infrastructure & DevOps: • Cloud: Azure (preferred), AWS, or GCP • Containers: Docker, Kubernetes, Azure Container Instances, AKS • CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab CI • APIs: REST, GraphQL, webhooks, OAuth 2.0, message queues (Kafka, Azure Service Bus) Key Competencies & Soft Skills ✅ Strategic Product Thinking – Discovery, scoping, MVP definition, incremental delivery, value tracking ✅ Executive Communication – Ability to present complex technical concepts to C-level stakeholders ✅ Stakeholder Management – Building trust and alignment across business and technology teams ✅ Ownership & Accountability – Taking end-to-end responsibility for outcomes ✅ Bias for Action – Pragmatic decision-making in "build vs. buy" scenarios ✅ Change Leadership – Driving adoption of new technologies and ways of working ✅ Continuous Learning – Staying current with rapidly evolving AI/automation landscape ✅ Collaborative Mindset – Working effectively across cultures and time zones in a global organization Why Join Allianz? Shape the Future of Insurance & Financial Services Be at the forefront of AI and automation innovation in a Fortune 50 company serving over 125 million customers worldwide. Your work will directly impact millions of lives. Work with Cutting-Edge Technology Access to the latest AI/ML tools, cloud platforms, and automation technologies. Freedom to experiment, innovate, and implement best-in-class solutions. Grow Your Career Comprehensive learning and development opportunities, mentorship programs, and clear career progression paths in a global organization. Make a Real Impact Drive measurable business outcomes and see your solutions transform operations, enhance customer experiences, and create competitive advantage. Inclusive & Diverse Culture Join a workplace that values diversity, promotes inclusion, and supports work-life balance through flexible working arrangements. Competitive Rewards Attractive compensation package including base salary, performance bonuses, equity participation, comprehensive benefits, and pension plans. Our Commitment to Diversity & Inclusion At Allianz, we believe diverse teams drive better innovation and business outcomes. We're committed to creating an inclusive workplace where everyone can thrive, regardless of gender, age, ethnicity, sexual orientation, disability, or background. We actively encourage applications from underrepresented groups in technology. Ready to Lead the AI Revolution? If you're passionate about leveraging AI and automation to solve complex business challenges, building high-performing teams, and driving digital transformation at scale, we want to hear from you. Apply now and join us in shaping the future of intelligent automation at Allianz. Application Process • Submit your application including CV/resume and cover letter • Initial screening with our Talent Acquisition team (30 min) • Technical assessment – Practical case study or technical discussion • Team interviews – Meet with hiring manager and team members • Final interview – Leadership discussion and culture fit • Offer & onboarding – Welcome to Allianz! Allianz is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Great to have you on board. Let's care for tomorrow.

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The Senior Manager – Cyber Security Engineers is a senior delivery and people leadership position within Deeplight consultancy, embedded directly within a major banking client. The role is responsible for directing engineering squads, managing technical resource allocation, and overseeing the execution of enterprise-grade security tools and infrastructure. Serving as a critical link between high-level security architecture and hands-on deployment, this position requires a balance of strong team leadership, robust delivery management, and deep familiarity with cybersecurity frameworks to ensure the bank’s defensive systems are built to the highest institutional standards. Your responsibilities in this role include: • Engineering Leadership: Directly manage cross-functional squads of security engineers, providing technical guidance, setting performance targets, and conducting regular career development reviews. • Delivery Management: Own the technical execution lifecycle for all cybersecurity engineering projects, overseeing sprint planning, milestone tracking, resource capacity, and dependency management. • Security Implementation: Supervise the deployment, configuration, and integration of core security technologies (e.g., IAM, network security, endpoint protection, and cloud security controls) across the bank's architecture. • Framework Alignment: Ensure all engineering outputs and system implementations strictly align with the bank’s corporate policies, risk appetite, and selected cybersecurity frameworks. • Stakeholder Coordination: Act as the primary operational liaison between engineering teams, senior leadership, risk officers, and external client stakeholders to report on project velocity and technical risk blocks. • Strategic Excellence: Represent Deeplight by modeling senior-level accountability, engineering discipline, and professional delivery standards across all project workstreams. Coaching and Management Senior leaders at DeepLight AI are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results. Coaching • Growing future leaders through mentorship and feedback. • Empowering your teams to think independently and learn continuously. • Fostering a culture of curiosity, reflection, and resilience. Management • Aligning strategy with execution and ensuring delivery excellence. • Setting clear goals and objectives, driving accountability, and supporting performance. • Leading with transparency, integrity, and trust. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. Requirements For this role, we need you to have: • A proven capability to lead, motivate, and upscale highly technical engineering personnel in a high-pressure corporate environment. • Advanced proficiency in Agile/Scrum or waterfall project management methodologies, utilizing enterprise delivery tools (e.g., Jira, Azure DevOps) to optimize team velocity. • Practical understanding of applying enterprise security control frameworks (e.g., NIST CSF, ISO/IEC 27001, CIS Benchmarks) to infrastructure deployments. • Ability to manage capacity planning, resolve resource constraints, and balance technical debt against aggressive business delivery timelines. • Capacity to synthesize complex technical engineering problems into clear roadmap updates and operational risk summaries for senior leadership. • A minimum of 8 years in cybersecurity or infrastructure engineering, with at least 3 years in a formal team management or delivery lead role. • Documented experience leading engineering delivery or managing technical infrastructure within a regulated tier-1 or tier-2 banking institution. • Prior experience in a client-facing professional services or consultancy capacity, managing delivery timelines, statement of work (SOW) compliance, and client stakeholder relationships. • Work history demonstrating successful oversight of large-scale cybersecurity product rollouts or complex environment migrations. It would also be great if you have: • Professional Certifications: Relevant management or technical credentials such as CISSP, CISM, PMP, Agile/Scrum certifications (e.g., CSM, Safe), or cloud security certifications. • DevSecOps Familiarity: Conceptual or hands-on experience with modern CI/CD security pipelines and Infrastructure as Code (IaC) governance. • Budget Management: Experience tracking operational expenditure (OpEx) and capital expenditure (CapEx) for technical tooling and headcount allocation. Benefits The benefits you'll enjoy as part of this role include: • Competitive salary • Comprehensive personal health insurance • Visa Sponsorship for the successful individual • Professional development and certification support • Subscription reimbursement relating to your role • Opportunity to work on cutting-edge AI projects • Monthly Employee Incentive program • Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Principal Development Engineer We are seeking an experienced Principal Software Engineer with 12–18 years of hands‑on expertise in Java/J2EE, REST/SOAP, JPA, Oracle/PostgreSQL, and modern messaging platforms such as Kafka and other Message Queues. The ideal candidate will be responsible for designing scalable enterprise payments applications, guiding junior developers, and driving solution excellence across projects. Design, develop, and maintain high‑performance, scalable enterprise applications using Java/J2EE. Architect and implement RESTful and SOAP-based web services. Design and optimize relational database structures and queries (Oracle/PostgreSQL). Work extensively with JPA/Hibernate for ORM and data persistence. Develop distributed, event-driven systems using Kafka or other messaging platforms. Implement asynchronous processing models, message queues, and event-streaming pipelines. Lead code reviews, ensure code quality standards, and mentor junior engineers. Collaborate with cross-functional teams including architects, DevOps, QA, and product owners. Troubleshoot complex issues across application layers, performance tune, and improve system reliability. Contribute to system design discussions, architecture decisions, and technical roadmaps. Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Strong communication and documentation skills. Ability to lead technically and collaborate effectively. Ownership mindset and ability to work independently. Mentoring and team leadership capabilities. Good understanding of Payments and Banking domain. Strong proficiency in Java/J2EE , multithreading, collections, and design patterns. Hands‑on experience with REST API development and SOAP services. In‑depth knowledge of JPA , Hibernate, or other ORM frameworks. Strong database experience with Oracle and/or PostgreSQL including SQL, PL/SQL, indexing, performance tuning. Experience with Kafka , RabbitMQ , ActiveMQ , or other messaging systems. Solid understanding of microservices architecture and distributed systems. Familiarity with CI/CD tools (Jenkins, GitLab CI, etc.). Experience with application servers (WebLogic, JBoss, Tomcat). Strong analytical, debugging, and problem‑solving skills. Why should you join Diebold Nixdorf? Brightest minds + technology and innovation + business transformation The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability. –Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. ** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes** We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations Experience Level Senior Level

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas • Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users • Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement • Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality • Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems • Ensure essential procedures are followed and help define operating standards and processes • Serve as advisor or coach to new or lower level analysts • Has the ability to operate with a limited level of direct supervision. • Can exercise independence of judgement and autonomy. • Acts as SME to senior stakeholders and /or other team members. • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Recommended Qualifications: • 5-8 years of relevant experience • Experience in systems analysis and programming of software applications • Experience in managing and implementing successful projects • Working knowledge of consulting/project management techniques/methods • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: • Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Summary We are seeking a highly skilled Senior Python / PySpark Developer to design, develop, and optimize large‑scale data processing solutions. The ideal candidate will have deep experience in Python, Apache Spark (PySpark), and distributed data systems, with a strong focus on performance, scalability, and reliability of data pipelines and analytical workloads. You will work closely with data engineers, architects, and business stakeholders to deliver robust data solutions that power analytics, reporting, and downstream applications. Key Responsibilities Development & Engineering • Design, develop, and maintain high‑performance data pipelines using Python and PySpark • Build and optimize ETL/ELT workflows for large‑scale batch and streaming data • Write clean, reusable, testable, and well‑documented Python code • Optimize Spark jobs for performance, memory usage, and cost efficiency • Implement data transformations, aggregations, and validations at scale Data & Platform • Work with structured and semi‑structured data (Parquet, ORC, JSON, Avro, CSV) • Integrate with data sources such as RDBMS, NoSQL, cloud storage, and message queues • Ensure data quality, integrity, and governance across pipelines • Support migration and modernization of legacy data workflows to Spark‑based architectures Architecture & Collaboration • Contribute to data architecture and design discussions • Review code and mentor junior developers • Collaborate with DevOps, Data Science, and Analytics teams • Participate in production support and performance tuning activities Required Skills & Qualifications Technical Skills • Strong expertise in Python (8+ years preferred) • Hands‑on experience with Apache Spark / PySpark (4+ years) • Solid understanding of distributed computing concepts • Strong SQL skills and experience with relational databases • Experience with big data ecosystems (Hive, HDFS, Delta Lake, or similar) • Familiarity with cloud platforms (AWS / Azure / GCP) and cloud‑native data services • Experience with job orchestration tools (Airflow, Oozie, Azure Data Factory, etc.) • Proficiency in Linux/Unix environments Engineering Practices • Experience with CI/CD pipelines • Knowledge of unit testing, logging, monitoring, and debugging in distributed systems • Familiarity with Git and code versioning practices Nice to Have (Preferred Skills) • Experience with Spark Structured Streaming • Knowledge of Kafka or other messaging systems • Exposure to ML pipelines or feature engineering using PySpark • Familiarity with data security, governance, and compliance standards • Experience leading or owning end‑to‑end data solutions • Prior experience in large enterprise or high‑scale environments ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

JOB DESCRIPTION The Value You Deliver Communication Analytics to provide end-to-end insight for all multi-channel communications sent via Martech owned products. The BI capability include: Operational reporting/visualization across channels and BUs Rationalize and port relevant reporting capability Legacy Marketing communications App - Insights & reporting dashboards Out of the box reporting capability Ad hoc/Self Service capability Export functionality of reporting data for further analysis by individual teams The Skills that are Key to this role Technical Experience in Reporting tool like Tableau/PowerBI/Qlik Hands-on experience in Database development , data analysis , building data pipelines , data wrangling and transformation using AWS Cloud technologies Proficiency in building ETL pipelines, designing data warehouses or data marts Highly proficient in cloud bases DBs such as Snowflake, AWS Aurora (Postgres) Ability to write complex SQL logics. Experience in managing varied data volume, completeness, latency, and data quality Good to have technical skills: Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, uDeploy, Stash etc. Knowledge of Streaming technologies like Apache Kafka, AWS Kinesis and other AWS services such as S3, SQS, SNS or equivalent publisher/subscriber services. Behavioral You will need to demonstrate the ability to recognize urgency of issues and take appropriate steps to mitigate risks. You will need to be able to break down problems to plan and determine workable solutions Desire and ability to learn and implement new technologies The Skills that are Good To Have for this role Ability to effectively articulate and present ideas / technical design to appropriate audience. Marketing domain knowledge The Expertise We're Looking For Bachelor's or master's degree in a technology related field (e.g., Engineering, Computer Science, etc.) Certifications - Any certification in snowflake, AWS Location : Chennai Shift timings : 11:00 am- 8:00pm