Devops Engineer Jobs

ABOUT THE ROLE We are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases — now expanded to include AI/ML engineering capabilities. The ideal candidate will design, develop, and maintain high-performance, scalable applications while integrating AI-powered features into enterprise insurance systems. Experience in the Insurance domain will be a strong advantage. Experience 5+ Years Primary Stack Java / Spring Boot AI Focus LLM Integration Domain Insurance KEY RESPONSIBILITIES • Design, develop, and enhance backend services and APIs using Java and Spring Boot. • Build high-throughput and resilient event-driven components using Kafka. • Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries. • Integrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs. • Build and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features. • Develop and expose AI agent workflows using frameworks such as LangChain4j, Spring AI, or similar Java-native AI toolkits. • Implement prompt engineering strategies, context management, and output validation layers for LLM interactions. • Design vector database integrations (Pinecone, Weaviate, pgvector) for embedding storage and similarity search. • Collaborate closely with architects, BAs, and cross-functional teams to deliver robust technical solutions. • Participate in code reviews, refactoring efforts, and optimisation of system performance. • Ensure best practices for coding standards, security, maintainability, and AI model governance. • Troubleshoot production issues and provide root cause analysis and long-term fixes. • Support CI/CD pipeline integration, model deployment automation, and MLOps tooling. • Contribute to documentation, technical specifications, and architectural diagrams. REQUIRED SKILLS & QUALIFICATIONS • 5+ years of hands-on development experience in Java-based applications. • Strong expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services. • Experience with Kafka for messaging, streaming, or event-driven architecture. • Practical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase). • Solid understanding of microservices architecture and distributed systems. • Hands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications. • Familiarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems. • Experience with prompt engineering — crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency. • Knowledge of embedding models and vector stores for semantic search and RAG pipelines. • Strong debugging, analytical, and problem-solving skills. • Experience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus. • Excellent communication and collaboration skills. PREFERRED SKILLS • Experience working in the Insurance domain (Policy, Claims, Underwriting, Billing, etc.). • Hands-on experience building or fine-tuning ML models using Python-based frameworks (Hugging Face, scikit-learn, PyTorch) integrated with Java services. • Exposure to AI agent orchestration tools — LangGraph, AutoGen, CrewAI, or OpenAI Assistants API. • Experience deploying models on cloud AI services: AWS Bedrock, Azure OpenAI Service, or Google Vertex AI. • Familiarity with MLOps platforms (MLflow, SageMaker, Kubeflow) for experiment tracking and model lifecycle management. • Knowledge of AI safety, responsible AI practices, and PII/data privacy considerations when working with LLMs. • Exposure to cloud platforms such as AWS, Azure, or GCP. • Knowledge of caching frameworks (Redis, Hazelcast) for LLM response caching and rate-limit management. • Familiarity with containerization and orchestration platforms. • Understanding of DevOps principles and observability tools (Grafana, Prometheus, ELK) — including LLM observability (token usage, latency, hallucination monitoring). AI / ML SKILLS HIGHLIGHT LLM Integration OpenAI, Claude API, Gemini, Azure OpenAI Java AI Toolkits Spring AI, LangChain4j Prompt Engineering Prompt design, versioning, A/B testing Vector Databases Pinecone, Weaviate, pgvector RAG Pipelines Embedding models, semantic search MLOps MLflow, SageMaker, Hugging Face Hub WHY JOIN US? • Opportunity to work on scalable, enterprise-level backend systems enhanced with cutting-edge AI capabilities. • A collaborative environment with strong engineering, AI research, and domain experts. • Continuous learning and growth opportunities through challenging technical projects at the intersection of Java and AI. • Dedicated AI innovation time and access to LLM API credits for exploration and prototyping. 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. Join us. Let's care for tomorrow.

Register And Skills Skill DEVOPS DOCKER AND KUBERNETES CI/CD INTEGRATION PYTHON Minimum Qualification B.TECH/B.E Job Title: Junior Python & DevOps Engineer Location:Pune Experience: 23 Years Department: Software Factory / Python DevOps Role Overview We are seeking a Junior Python & DevOps Engineer with 23 years of experience to join our dynamic team. The ideal candidate should have solid Python programming skills, hands-on experience with DevOps tools, and a passion for automation and cloud technologies. Key Responsibilities Develop and maintain tools using Python. Assist in building and managing CI/CD pipelines for application deployment. Work with AWS services for cloud-based solutions. Implement containerization using Docker and manage version control with Git. Collaborate with cross-functional teams to ensure smooth integration and delivery. Monitor and troubleshoot DevOps workflows and deployments. Document processes and contribute to continuous improvement initiatives. Required Skills Python programming (functions, modules, data structures). Experience with DevOps tools (Jenkins, GitLab CI/CD, or similar). Knowledge of AWS cloud services (EC2, S3, IAM). Hands-on experience with Docker and container orchestration basics. Proficiency in Git for version control. Preferred Skills Familiarity with Infrastructure as Code (Terraform, Ansible). Basic knowledge of monitoring tools (Prometheus, Grafana). Exposure to Agile and Scrum methodologies. What We Offer Opportunity to work on cutting-edge DevOps and automation projects. Mentorship from senior engineers and growth opportunities pathways. Collaborative and learning-driven setting. Register And Skills Skill DEVOPS DOCKER AND KUBERNETES CI/CD INTEGRATION PYTHON Minimum Qualification B.TECH/B.E Job Title: Junior Python & DevOps Engineer Location:Pune Experience: 23 Years Department: Software Factory / Python DevOps Role Overview We are seeking a Junior Python & DevOps Engineer with 23 years of experience to join our dynamic team. The ideal candidate should have solid Python programming skills, hands-on experience with DevOps tools, and a passion for automation and cloud technologies. Key Responsibilities Develop and maintain tools using Python. Assist in building and managing CI/CD pipelines for application deployment. Work with AWS services for cloud-based solutions. Implement containerization using Docker and manage version control with Git. Collaborate with cross-functional teams to ensure smooth integration and delivery. Monitor and troubleshoot DevOps workflows and deployments. Document processes and contribute to continuous improvement initiatives. Required Skills Python programming (functions, modules, data structures). Experience with DevOps tools (Jenkins, GitLab CI/CD, or similar). Knowledge of AWS cloud services (EC2, S3, IAM). Hands-on experience with Docker and container orchestration basics. Proficiency in Git for version control. Preferred Skills Familiarity with Infrastructure as Code (Terraform, Ansible). Basic knowledge of monitoring tools (Prometheus, Grafana). Exposure to Agile and Scrum methodologies. What We Offer Opportunity to work on cutting-edge DevOps and automation projects. Mentorship from senior engineers and growth opportunities pathways. Collaborative and learning-driven setting.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: • Staying plugged into emerging technologies/industry trends and applying them into operations and activities • Open-Source Tools and Framework • Large and more complex components, while influencing overall Data architecture and patterns • Influences the team designs and solutions Mentors software engineers through code reviews, and hands-on design sessions • Code reviews are appropriately broken down in to reviewable chunks • Contributes meaningfully to code reviews of teams work, providing collaborative guidance in areas of strength • Continues to receive guidance in own code reviews primarily around solution refinement, rather than overall direction Able to explain implementation decisions and push back appropriately • Learns from feedback and applies to future deliverables • Solves more complex problems API's / Data Structures/ Data Models/Algorithms/ Application Sequences are thoughtfully designed Solutions are well integrated, testable, maintainable and performant • Appropriately leverages existing solutions and adapts for reuse • Delivers solutions with the appropriate toolset (languages, algorithms, patterns and frameworks) for the constraints and conditions of the business, team and product • Choose refactor opportunities to drive down tech debt, in alignment with sprint and program goals • Incorporates automation in testing, build, and deployment processes to drive team efficiencies • Introduces automation to replace repeated manual processes demonstrating measurable improvement • Work with internal stakeholders, get their priorities, build alignment on prioritization and synthesize them into quarterly roadmap for the platform • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Builder Responsibilities: Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making. Required Qualifications: • Bachelor's degree in Computer science or related field • Solid experience in development using C#, .Net Core Web API and/or Java and Angular and/or React • Experience with SQL/NoSQL databases • Solid experience in DevOps best practices in cloud native environment • Experience in software development • Experience delivering solutions with a focus on C#, .Net Core Web API, Angular/React along with Python - AI/ML exp and automation • Experience with the technologies for this Project: • Java • Angular / React, Databricks, Python for AI/ML and automation • Open-Source Tools and Framework • Azure Public Cloud • Git Actions • Git • Sonar • Good knowledge of Entity Framework Core • Very good understanding of agile software development practices and role of product management in the same • Solid understanding of product management principles - prioritization, preparing roadmaps, cross-functional team collaboration • Very good high-level understanding of building software platforms • Healthcare knowledge • Proven excellent problem-solving skills, understanding of Data Structures At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Summary:The Senior AI Software Engineer will play a critical role in establishing the Startup team focused on AI and Generative AI technologies. The primary objective is to leverage digital technologies to drive transformation within the organization while ensuring cybersecurity, compliance, and ethical standards.Responsibilities:Collaborate and Innovate: Work with product managers, designers, and engineers to develop AI-enabled features.AI Integration: Implement and integrate AI technologies such as Generative AI and NLP.Platform Development: Design and maintain scalable AI features ensuring compatibility with services and APIs.Rapid Problem-Solving: Address AI performance and integration issues promptly.Continuous Improvement: Engage in code reviews and improve AI development processes.Provide coaching and guidance through technical sessions and pair working.Stay Current: Keep updated with industry trends in AI and cloud services.Must Haves:At least 7 years of experience as a Software EngineerExpertise in Python; valuable experience in Java, Scala, or C#Knowledge of microservices architecture and GraphQLUnderstanding of DevOps with experience in ADO pipelines and DockerExperience with Data management, JSON schema, and AvroFamiliarity with Apache Airflow and Microsoft Fabric Data FactoryStrong understanding of GenAI/AI/ML technologiesExperience with cloud providers: Azure, GCP, or AWSProficiency in Agile methodologies, specifically SCRUMNice to Haves:Cloud certificationsKnowledge of distributed architecturesExperience with NLP projects and software design principlesProficiency in project management and collaboration tools (like JIRA or Trello)Strong organizational and time management skillsCreative and curious mindset with a passion for innovation

About The Role We are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases — now expanded to include AI/ML engineering capabilities. The ideal candidate will design, develop, and maintain high-performance, scalable applications while integrating AI-powered features into enterprise insurance systems. Experience in the Insurance domain will be a strong advantage. Experience 5+ Years Primary Stack Java / Spring Boot AI Focus LLM Integration Domain Insurance Key Responsibilities • Design, develop, and enhance backend services and APIs using Java and Spring Boot. • Build high-throughput and resilient event-driven components using Kafka. • Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries. • Integrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs. • Build and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features. • Develop and expose AI agent workflows using frameworks such as LangChain4j, Spring AI, or similar Java-native AI toolkits. • Implement prompt engineering strategies, context management, and output validation layers for LLM interactions. • Design vector database integrations (Pinecone, Weaviate, pgvector) for embedding storage and similarity search. • Collaborate closely with architects, BAs, and cross-functional teams to deliver robust technical solutions. • Participate in code reviews, refactoring efforts, and optimisation of system performance. • Ensure best practices for coding standards, security, maintainability, and AI model governance. • Troubleshoot production issues and provide root cause analysis and long-term fixes. • Support CI/CD pipeline integration, model deployment automation, and MLOps tooling. • Contribute to documentation, technical specifications, and architectural diagrams. Required Skills & Qualifications • 5+ years of hands-on development experience in Java-based applications. • Strong expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services. • Experience with Kafka for messaging, streaming, or event-driven architecture. • Practical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase). • Solid understanding of microservices architecture and distributed systems. • Hands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications. • Familiarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems. • Experience with prompt engineering — crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency. • Knowledge of embedding models and vector stores for semantic search and RAG pipelines. • Strong debugging, analytical, and problem-solving skills. • Experience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus. • Excellent communication and collaboration skills. Preferred Skills • Experience working in the Insurance domain (Policy, Claims, Underwriting, Billing, etc.). • Hands-on experience building or fine-tuning ML models using Python-based frameworks (Hugging Face, scikit-learn, PyTorch) integrated with Java services. • Exposure to AI agent orchestration tools — LangGraph, AutoGen, CrewAI, or OpenAI Assistants API. • Experience deploying models on cloud AI services: AWS Bedrock, Azure OpenAI Service, or Google Vertex AI. • Familiarity with MLOps platforms (MLflow, SageMaker, Kubeflow) for experiment tracking and model lifecycle management. • Knowledge of AI safety, responsible AI practices, and PII/data privacy considerations when working with LLMs. • Exposure to cloud platforms such as AWS, Azure, or GCP. • Knowledge of caching frameworks (Redis, Hazelcast) for LLM response caching and rate-limit management. • Familiarity with containerization and orchestration platforms. • Understanding of DevOps principles and observability tools (Grafana, Prometheus, ELK) — including LLM observability (token usage, latency, hallucination monitoring). Ai / Ml Skills Highlight LLM Integration OpenAI, Claude API, Gemini, Azure OpenAI Java AI Toolkits Spring AI, LangChain4j Prompt Engineering Prompt design, versioning, A/B testing Vector Databases Pinecone, Weaviate, pgvector RAG Pipelines Embedding models, semantic search MLOps MLflow, SageMaker, Hugging Face Hub WHY JOIN US? • Opportunity to work on scalable, enterprise-level backend systems enhanced with cutting-edge AI capabilities. • A collaborative environment with strong engineering, AI research, and domain experts. • Continuous learning and growth opportunities through challenging technical projects at the intersection of Java and AI. • Dedicated AI innovation time and access to LLM API credits for exploration and prototyping. 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. Join us. Let's care for tomorrow.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer - Development in Java, micro services, RESTful APIs, Angular, Cloud Kubernetes and Docker Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Overview: Background The Mastercard Authentication Program owns how consumer authentication works for both in-store and e-commerce transactional use cases. The primary purpose of this role is to develop and deliver best-of-breed authentication products for e-commerce transactional use cases that will drive uptake and penetration for the products and revenue for Mastercard. The authentication products that fall within this role’s responsibilities are ID Check, Token Authentication Service and Token Authentication Framework. If you want a challenging project that is changing the way people do payments, this is the role for you! As a Lead Software Engineer, you will be responsible for • Design and develop secure, reliable, and scalable solutions for globally distributed customer facing products • Support development teams and work with stakeholders, promoting agile development • Create a culture of technical excellence and innovation • Research, create and evaluate technical solution alternatives for the business needs using current and upcoming technologies and frameworks • They are hands on all the time and collaborate by writing interfaces, tests; unit or acceptance and architecture fitness functions, outside of meeting rooms. • Work with business/product owners to architect and deliver on new services to introduce new products and bundles • Participate and contribute to team’s agile process and decisions. Understand and contribute to Prioritization. Drive prioritization decisions and trade-offs in working with product partners • Drive the architectural design, including dependent services, service interactions, and policies • Take ownership to improve the customer experience of an entire set of services/applications sold as products or bundled services • Contribute and lead initiatives by engaging and mentoring Engineers at all levels to improve the craftmanship of Software Engineering • Consult across teams and across organization lines to identify synergies and reuse opportunities • Conduct technical interviews for hiring engineering staff and raising the performance bar Technologies: - 1. Java, J2EE, micro services, RESTful APIs, Angular, Web Services, JavaScript, HTML/CSS 2. Framework - Spring (Spring Boot, Spring Data, Spring Batch, Spring REST, Spring Cloud, AOP), Hibernate 3. UI/UX frameworks and best practices (React, Angular) 4. API tooling and design best practices 5. Cloud and DevOps Architecture, especially via Pivotal Cloud Foundry or Kubernetes and Docker 6. Databases – Oracle, SQL server, PostgreSQL, Redis 7. Tools - Eclipse or IntelliJ, Sonar, GIT, Maven, SQL Developer, Jenkins, CI/CD, Gatling About You • Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems • Hands-on experience in coding Microservices in Java, building UI/UX, frameworks such as React, Angular, spring boot, RDBMS, Oracle and event driven architecture. • Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms is preferred • Knowledge with Pivotal Cloud Foundry or any other cloud platform AWS or Azure or GCP is preferred. Working knowledge of application security aspects such as encryption/decryption, PKI, hashing, JWTs, DPoP, zero trust principles, OAuth, OIDC, • Has experience designing and implementing solutions focusing on the non-functional concerns – Performance, Scalability, Availability, Extensibility, Supportability, Usability • Operate with urgency, fairness and decency to address challenges and solve for new opportunities. • Capable of working under pressure – navigating complex initiatives, competing priorities and customer requirements. • Strong communicator to maintain internal and external alignment. • Familiar with cutting edge industry trends and thorough understanding of development methodologies and standards, • Ability to adapt to a fast-changing environment. • Has skills to promote and coach teams on take on full stack development and facilitate end-to-end service ownership • Has skills to drive trade-off discussions to set right development capacity based on value drivers e.g., regulatory, security, new business, market parity, technical debt • Has experience in design and execution of automation across multiple business areas and provides guidance on best methods and tools. • Has skills to succinctly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders • Has skills to define and drive advanced chaos and other operational testing practices to test points of failures, monitors, and system behaviors under adverse conditions e.g., resource spikes, network congestion, component or infrastructure failure • Experienced in agile and modern SDLC practices: Scrum/Kanban/Continuous Delivery/DevOps/Quality engineering, and the delivery situations they are used for • Corporate Security Responsibility Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Requisition ID # 26WD96776 Position Overview We are looking for an experienced Senior Software Engineer to join the AMP team, focusing on the design of our AI/ML serving platform within a hybrid cloud architecture. This important role involves architecting scalable, efficient systems for model serving and inference, ensuring seamless deployment and management across diverse environments. You will have a background in software engineering, with an understanding of AI/ML technologies, and experience managing hybrid cloud infrastructures. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization. You will report to Manager. You will work from Pune location, and your jobs workplace type will be hybrid. Responsibilities • Design and Implement Scalable AI/ML Serving Systems: Develop scalable and efficient systems for serving AI/ML models, ensuring that these systems can handle varying loads and perform with low latency across diverse environments • Hybrid Cloud Architecture Management: Architect and manage a hybrid cloud environment that uses both on-premises resources and multiple cloud platforms (e.g., AWS, Azure, GCP) to optimise performance, cost, and scalability • Model Deployment and Versioning: Oversee the deployment of AI/ML models into production, including the setup of CI/CD pipelines for model deployment and versioning, ensuring smooth and reliable model updates and rollbacks • Performance Monitoring and Optimization: Implement monitoring tools and practices to track the performance of AI/ML models in production, identifying bottlenecks and optimizing system and model performance for better efficiency and reduced costs • Security and Compliance: Ensure that the AI/ML serving systems follow industry standards and regulatory requirements for data security and privacy, including the management of data encryption, access controls, and audit trails • Collaboration and Leadership: Work closely with AI/ML researchers, data engineers, and other partners to translate complex AI/ML models into production-ready systems, providing technical guidance throughout the project lifecycle • Research and Innovation: Stay informed about the latest developments in AI/ML technologies, cloud computing, and software engineering practices, exploring and integrating solutions that can enhance the capabilities and efficiency of the AI/ML serving platform Minimum Qualifications • Educational Background: BS or MS in Computer Science, or equivalent practical experience • Experience: 5+ years of experience in software development and engineering, with a solid record of delivering production systems and services • Expertise in AI/ML Technologies: Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch) and familiarity with the lifecycle of AI/ML model development, from training to deployment • Proficiency in Programming Languages: Strong coding skills in languages commonly used in AI/ML and system development, such as Python • Experience with Cloud Technologies: Experience with designing and managing systems on hybrid cloud architectures, including working knowledge of cloud service providers like Azure • Knowledge of Containerization and Orchestration Tools: Familiarity with containerization technologies (e.g., Docker) and orchestration systems (e.g., Kubernetes), crucial for deploying and scaling applications in a cloud environment • Understanding of DevOps Practices: Knowledge of CI/CD pipelines, infrastructure as code, and other DevOps practices to ensure smooth deployment and operation of AI/ML systems • System Performance Optimization: Deep understanding of performance metrics and latency optimization techniques, with the ability to diagnose, tune, and enhance the efficiency of serving systems Preferred Qualifications • Cloud Certifications: Certifications in cloud technologies from major providers (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert), indicating a high level of expertise in cloud services and architecture • Experience with Big Data Technologies: Experience with big data technologies and ecosystems (Hadoop, Spark, Kafka) for processing and analyzing large datasets in a distributed computing environment • AI/ML Model Monitoring Tools: Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard) #LI-AK1 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

About Position: We are looking for a highly experienced Ansible & Terraform Architect to drive infrastructure automation, standardization, and cloud transformation initiatives. This role focuses on implementing Infrastructure as Code (IaC) and automationfirst practices to improve reliability, scalability, and speed of service delivery across enterprise environments, supporting largescale transformations and M&A; initiatives. - Role: Ansible &Terraform; Architect - Location: All Persistent Location - Experience:15+ years - Job Type: Full-Time Employment What You'll Do: - Lead and support solutioning activities for RFPs, solution defence, and large-scale transformation and automation programs. - Architect and implement Infrastructure as Code (IaC) solutions using Terraform for multi-cloud and hybrid environments. - Design and develop automation frameworks using Ansible for configuration management, provisioning, and orchestration. - Lead and mentor a team of DevOps and automation engineers by providing technical guidance, coaching, and architectural direction. - Foster a collaborative, automation-first culture that promotes innovation, efficiency, and continuous improvement. - Define and maintain standards for infrastructure provisioning, configuration management, and deployment pipelines. - Oversee the management and optimization of infrastructure environments across cloud and on-premises platforms. - Develop reusable Terraform modules and Ansible playbooks to standardize and accelerate deployments. - Manage relationships with technology vendors, cloud providers, and tooling partners, including coordination for support and escalations. - Partner closely with Presales and Sales teams to support automation-led transformation opportunities and solution positioning. - Work with delivery teams to implement best practices across accounts, ensuring consistency, scalability, and operational excellence. - Build strong relationships with internal and external stakeholders through roadmap planning, capability showcasing, and advisory engagements. - Continuously align infrastructure automation strategies to business requirements and drive innovation to solve complex challenges. - Improve delivery efficiency and reduce operational costs through automation, standardization, and process optimization. - Provide escalation leadership and hands-on troubleshooting for complex infrastructure, deployment failures, and automation issues. - Establish governance, compliance, and reporting frameworks for infrastructure provisioning and automation services. - Ensure successful execution of due diligence activities and seamless transitions for transformation and migration programs. - Coach track leads and SMEs to enhance expertise in IaC, DevOps practices, and cloud-native architecture. - Stay updated with emerging technologies in the DevOps and automation landscape and apply them for business value creation. Expertise You'll Bring: - Terraform (modules, state management, workspaces), Infrastructure as Code (IaC) and provisioning best practices - Ansible (playbooks, roles, collections), configuration management and orchestration - Cloud platforms: AWS, Azure, GCP including compute, networking, storage, IAM, and security services - CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD - Version control systems such as Git, branching strategies, and repository management - Containerisation and orchestration technologies such as Docker and Kubernetes - Scripting and automation using Python, Bash, or PowerShell - Infrastructure security, compliance frameworks, secrets management (Vault, Key Vault, etc.) - Networking fundamentals including VPC, subnets, load balancers, firewalls, and connectivity models - Monitoring and logging tools (Prometheus, Grafana, ELK, Cloud-native monitoring solutions) - Hybrid cloud and multi-cloud architecture design and deployment strategies - Troubleshooting infrastructure provisioning issues, automation failures, and CI/CD pipeline errors - Root cause analysis, incident management, and collaboration with cross-functional teams for resolution - Bachelors degree or equivalent qualification - 15+ years of experience in infrastructure, DevOps, and automation technologies - Proven experience in designing and implementing Terraform and Ansible solutions at enterprise scale - Strong communication, stakeholder management, and consulting skills - Demonstrated success in driving automation, cloud transformation, and DevOps practices aligned to business outcomes - Certifications in Terraform (HashiCorp), AWS, Azure, or GCP - DevOps and Kubernetes certifications (CKA/CKAD or equivalent) - Experience with enterprise-scale cloud migrations and M&A; integrations Benefits: - Competitive salary and benefits package - Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications - Opportunity to work with cutting-edge technologies - Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards - Annual health check-ups - Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. - We support hybrid work and flexible schedule to fit diverse lifestyles. - Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. - If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - persistent.com/careers \"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.\"

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Platform Engineer I (DevOps) Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Good opportunity for a solid performance tuning and Linux administrator to join a great team and have a direct impact on critical Mastercard services. You’ll play a meaningful role in performance analysis, tuning, troubleshooting and recommendations for optimizations of critical services running on Linux either as VMs or Containers Job Description: Mastercard is currently looking for an individual with Linux experience to support, manage and enhance all administrative functions associated with Mastercard Physical Edge servers in an automated and proactive manner. You’ll play a meaningful role in the day-to-day operations of services relied upon across Mastercard. Responsibilities: • Using automation and advanced monitoring to deploy, manage and ensure stability and high availability of multiple Virtual Machines running on a large server fleet of Linux servers (RHEL/CENTOS). • Automate operational and server provisioning workflows using Ansible • Prevent customer impact through excellent monitoring and pre-emptive actions but if incidents do occur address them in a timely manner. • Ability to work a rotational on-call schedule • Maintain an up-to-date knowledge of DevSecOps standard tools, administration best practices, and agile methodology best practices • Operate within the ITIL model including Incident Management, Change Management and Problem Management Qualifications: • Bachelor's degree in Computer Science or related field • At least 0.5 to 1.5 years of hands on experience in DevOps area. • hands on experience with Ansible in creation/modification of infrastructure as code configurations • Extensively worked on Jenkins for continuous Integration and End - to-End automation for all builds and deployments. • Experience using Splunk, Dynatrace for analysis and maintaining logs. • Scripting experience (Shell, PERL, Python, BASH or similar) • Experience with firewall technologies • Experience with creating and improving documented procedures using Ansible playbooks. • Strong troubleshooting and debugging skills. • Learning mindset, exposure to AI tools and innovative mindset Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

What you will do? As a Salesforce Support Analyst (Tier 2) you will handle incidents and changes daily, providing essential support for our CRM systems. By leveraging your expertise in both Salesforce support and development, you will contribute to the continuous improvement of our service delivery, driving innovation and efficiency across the organization. • Provide day-to-day support for our Salesforce CRM system by troubleshooting and resolving incidents in line with SLAs. • Work on enhancements to optimize functionality and user experience. • Manage and update tickets in ServiceNow, ensuring accurate documentation and timely resolution. • Collaborate with development teams to support deployments and participate in Agile projects. Assist in testing new features and validating fixes before release • Contribute to knowledge base articles and documentation for recurring issues and solutions. • Managing demanding stakeholders - Handle urgent or complex customer requests with clear communication and professionalism. Balance customer needs with company policies, build trust, and maintain positive relationships in challenging situations. How you will do it: • Apply strong problem-solving skills to diagnose issues and implement effective solutions. • Follow governance and change management processes to ensure compliance and quality. • Communicate clearly with users and stakeholders, providing timely updates and guidance. • Continuously seek opportunities to automate tasks and improve support workflows. • Monitor system performance & health and proactively address potential issues. What we look for: • 3+ years’ experience in Salesforce Support including Sales, Service, Marketing/Experience Cloud support. • Salesforce Administrator Certification is essential with Salesforce Platform App Builder or Platform Developer 1 Certification preferred. • Knowledge of Apex and Lightning Web Components (LWC) development. • Experience in Salesforce integrations including Mulesoft. Heroku experience an advantage. • Experience with ServiceNow, JIRA or similar tools for ticket handling and project tracking • Working hours and flexibility – set hours with occasional flexibility for urgent issues or peak times. We support work-life balance and respect personal time. • Excellent communication skills to work effectively with business stakeholders globally. • Ability to work in an agile environment and adapt to changing requirements. • Fluent English (must)