Devops Engineer Jobs

Role Description AWS DevOps & Kubernetes Engineer Job Summary We are seeking an experienced Senior AWS DevOps & Kubernetes Engineer with 8-10 years of experience to support cloud-native platforms and distributed systems. The ideal candidate will have strong expertise in AWS DevOps, Kubernetes, Terraform, Linux, and Networking, and will contribute to the design, automation, deployment, and operational excellence of scalable, highly available cloud environments. This role is based in Bengaluru and requires working in a hybrid work model. Key Responsibilities • Design, build, and support cloud infrastructure and solutions on AWS. • Implement and manage containerized workloads using Kubernetes (EKS). • Develop and maintain Infrastructure as Code (IaC) using Terraform. • Automate provisioning, deployment, and operational processes through DevOps practices and scripting. • Design, implement, and maintain CI/CD pipelines to enable reliable software delivery. • Administer and troubleshoot Linux-based environments. • Manage and support Networking components required for cloud and application platforms. • Monitor, troubleshoot, and optimize cloud infrastructure and applications to ensure high availability and performance. • Implement and support observability and monitoring solutions using tools such as Grafana, Prometheus, Loki, Tempo, and Mimir. • Support microservices-based applications and distributed systems in production environments. • Collaborate with cross-functional teams to improve platform reliability, scalability, and operational efficiency. • Provide operational support for platform services, integrations, and deployments. Required Skills Proficient • AWS DevOps • Kubernetes • Terraform • Linux • Networking Experience • 8-10 years of relevant experience in Cloud and DevOps engineering. Skills API Development, CI/CD, CSS, DevOps, Grafana, Linux, Python, Angular, Databases, JavaScript, MongoDB, PostgreSQL

DevOps Engineer — Kubernetes & Cloud Platform & Infrastructure Engineering Company: Eizen AI (Eigenmaps Private Limited) Location: Bengaluru, India (On-site / Hybrid) Experience: 3–5 years Employment Type: Full-time Function: Platform & Infrastructure Engineering Reports To: Head of AI / Platform Lead About Eizen AI Eizen AI is an applied AI company building computer vision, video intelligence, and agentic AI systems for enterprises. We work with Fortune 500 organisations across manufacturing, retail, healthcare, and robotics, turning real-world video and operational data into decisions that run in production — not in slide decks. Our platform stack includes eizenOS, our video intelligence platform for large-scale perception and analytics, and eizenX, our agentic workflow design layer for building and orchestrating AI agents. Alongside these, our proprietary Dual Vision System combines ego-vision and exo-vision to give robotic and industrial systems a far richer operational understanding of their environment than single-viewpoint approaches allow. Eizen operates from Hyderabad — our primary R&D centre — with a growing presence in Bengaluru and Atlanta, USA. We are a research-led team: our work sits at the intersection of self-supervised learning for video, visual symbol grounding, and production-grade AI engineering. The company was founded and is led by a PhD in Cognitive Robotics from IIT Kanpur, and our engineering culture reflects that — deep technical ownership, first-principles problem solving, and an insistence that research ideas survive contact with production. About This Role Eizen is expanding its platform engineering team to support a major client engagement focused on building and scaling AI products. You will own the infrastructure these products run on — Kubernetes environments, CI/CD pipelines, cloud infrastructure, and production reliability — across development, staging, and production. This is a hands-on Kubernetes and DevOps engineering role, not a coordination role. You will be the person who makes deployments predictable, environments reproducible, incidents short, and scaling boring. If you enjoy working close to real production systems — including AI/ML and GPU workloads — and want that work to visibly matter to enterprise customers, this role will suit you. What You'll Do • Manage and operate Kubernetes clusters across development, staging, and production environments. • Deploy and manage containerised applications using Docker, Kubernetes, and Helm. • Build and maintain CI/CD pipelines for automated build, test, deployment, and release workflows. • Manage Kubernetes resources including Deployments, Services, Ingress, ConfigMaps, Secrets, Jobs, and autoscaling. • Troubleshoot Kubernetes issues spanning pods, networking, resource utilisation, deployments, and application availability. • Implement Infrastructure as Code using Terraform or equivalent tooling. • Manage cloud infrastructure on AWS, Azure, or GCP. • Configure application environments, secrets, access controls, and deployment configurations. • Set up and maintain monitoring, logging, metrics, and alerting across applications and infrastructure. • Improve infrastructure scalability, availability, security, and deployment reliability. • Support production incidents, drive root-cause analysis, and resolve infrastructure issues. • Partner closely with development and QA teams to improve deployment processes and production readiness. • Implement cloud and Kubernetes security practices including RBAC, secrets management, network policies, and image security. Must-Have Skills • 3–5 years of experience in DevOps, Cloud, Platform, or Infrastructure Engineering. • Strong hands-on experience running Kubernetes in production. • Strong experience with Docker and containerised application deployments. • Experience with Helm and Kubernetes configuration management. • Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. • Hands-on experience with at least one major cloud platform — AWS, Azure, or GCP. • Experience with Terraform or another Infrastructure as Code tool. • Solid understanding of Linux, networking, DNS, load balancing, and HTTP/HTTPS. • Practical experience with Kubernetes troubleshooting, deployments, scaling, and resource management. • Experience with monitoring and logging tools such as Prometheus, Grafana, Datadog, or ELK. • Good scripting skills in Bash or Python. • Working understanding of production support, incident troubleshooting, and deployment best practices. Nice to Have • Experience with managed Kubernetes platforms — EKS, AKS, or GKE. • Experience with Argo CD, Flux, or GitOps workflows. • Knowledge of Kubernetes Ingress controllers, service networking, and autoscaling. • Experience with Redis, PostgreSQL, Kafka, or comparable production infrastructure components. • Familiarity with OpenTelemetry and distributed tracing. • Exposure to AI/ML or GPU workloads on Kubernetes. • Knowledge of cloud security, vulnerability scanning, and container security. • Relevant Kubernetes or cloud certifications (CKA, CKAD, CKS, or cloud provider equivalents). What Success Looks Like in the First Six Months • Deployments across all environments are automated, repeatable, and low-drama. • Infrastructure is defined as code, with environments reproducible from source. • Monitoring and alerting give the team early warning rather than after-the-fact explanations. • Mean time to recovery on production incidents is measurably shorter. • Development and QA teams ship faster because the path to production is clearer. Why Join Eizen • Real production AI, at scale. Our systems process live video and run agentic workflows for Fortune 500 clients — the infrastructure challenges are genuine, not theoretical. • Ownership from day one. Small, senior team. You will own systems end to end and your decisions will shape how we build. • Technical depth. A research-led environment where AI/ML and GPU workloads are part of everyday infrastructure work. • Global exposure. Work across our India and US operations with direct visibility into enterprise client engagements. How to Apply Send your CV, along with a short note on the most complex Kubernetes or production reliability problem you have solved, to [email protected]. Fill up the form: https://forms.office.com/r/y9JFDDEZqX • Eizen AI is an equal opportunity employer. We evaluate applicants on capability and potential, and welcome candidates from all backgrounds.

Hiring Manager: Indranath Mukherjee Talent Acquisition Advisor: Milind Mukund Dadape Job Code Level: DSP5 Refer Your Friends! AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. The Opportunity We are looking for an experienced Principal Software Developer to provide technical leadership for the Email Channel of our Messaging Channels Platform. In this role, you will define the technical architecture, lead the design and development of enterprise-scale messaging capabilities, and establish engineering best practices for a cloud-native communication platform. You will work closely with Product Management, Architects, Development, Security, and Cloud Operations to deliver highly available, secure, and scalable messaging solutions capable of processing millions of email transactions every day. You are great at • Providing technical leadership and architectural direction for enterprise messaging solutions. • Designing and developing highly scalable, resilient, and cloud-native email delivery platforms. • Leading technical design discussions and driving engineering best practices across multiple teams. • Building reliable SMTP-based messaging services with high availability, performance, and observability. • Solving complex email delivery and infrastructure challenges, including deliverability, routing, security, and performance optimization. • Driving architectural decisions, establishing engineering standards, and influencing the long-term technical roadmap. • Mentoring senior developers and fostering technical excellence across the organization. • Collaborating effectively with Product Management, Architects, Engineering, Security, DevOps, and Cloud Operations to deliver high-quality enterprise software. What it takes • 15+ years of software engineering experience with significant experience designing distributed enterprise applications. • Deep expertise in enterprise email technologies, including SMTP, KumoMTA, Postfix, PowerMTA, Exim, or similar Message Transfer Agents (MTAs). • Strong understanding of email protocols and standards, including SMTP, MIME, DSN, SPF, DKIM, DMARC, SMTP AUTH, STARTTLS/TLS, and DNS (MX, TXT, PTR). • Experience designing and operating high-volume email delivery platforms, including message routing, queue management, retry mechanisms, bounce processing, suppression management, sender reputation, IP warming, throttling, and ISP-specific delivery optimization. • Strong programming experience in Java, Python, or Rust (preferred) with expertise in concurrent programming, asynchronous processing, and network programming. • Experience building cloud-native microservices using Docker, Kubernetes, REST APIs, and event-driven architectures leveraging Kafka, RabbitMQ, or similar messaging technologies. • Experience with public cloud platforms including Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). • Knowledge of enterprise messaging platforms, messaging middleware, and event streaming technologies. • Experience designing and building multi-tenant SaaS platforms, with strong understanding of tenant isolation, scalability, security, and high availability. • Strong knowledge of databases such as PostgreSQL, MySQL, MongoDB, and Redis. • Experience with observability technologies including Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch. • Experience with CI/CD pipelines, Git, Infrastructure as Code, and modern DevOps practices. • Excellent debugging, performance tuning, and troubleshooting skills for distributed systems. • Strong communication, technical leadership, mentoring, stakeholder management, and cross-functional collaboration skills. • Bachelor's or Master's degree in Computer Science or an equivalent discipline. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Hiring Manager: Indranath Mukherjee Talent Acquisition Advisor: Milind Mukund Dadape Job Code Level: DSP5 Refer Your Friends! AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. The Opportunity We are looking for an experienced Principal Software Developer to provide technical leadership for the Email Channel of our Messaging Channels Platform. In this role, you will define the technical architecture, lead the design and development of enterprise-scale messaging capabilities, and establish engineering best practices for a cloud-native communication platform. You will work closely with Product Management, Architects, Development, Security, and Cloud Operations to deliver highly available, secure, and scalable messaging solutions capable of processing millions of email transactions every day. You are great at • Providing technical leadership and architectural direction for enterprise messaging solutions. • Designing and developing highly scalable, resilient, and cloud-native email delivery platforms. • Leading technical design discussions and driving engineering best practices across multiple teams. • Building reliable SMTP-based messaging services with high availability, performance, and observability. • Solving complex email delivery and infrastructure challenges, including deliverability, routing, security, and performance optimization. • Driving architectural decisions, establishing engineering standards, and influencing the long-term technical roadmap. • Mentoring senior developers and fostering technical excellence across the organization. • Collaborating effectively with Product Management, Architects, Engineering, Security, DevOps, and Cloud Operations to deliver high-quality enterprise software. What it takes • 15+ years of software engineering experience with significant experience designing distributed enterprise applications. • Deep expertise in enterprise email technologies, including SMTP, KumoMTA, Postfix, PowerMTA, Exim, or similar Message Transfer Agents (MTAs). • Strong understanding of email protocols and standards, including SMTP, MIME, DSN, SPF, DKIM, DMARC, SMTP AUTH, STARTTLS/TLS, and DNS (MX, TXT, PTR). • Experience designing and operating high-volume email delivery platforms, including message routing, queue management, retry mechanisms, bounce processing, suppression management, sender reputation, IP warming, throttling, and ISP-specific delivery optimization. • Strong programming experience in Java, Python, or Rust (preferred) with expertise in concurrent programming, asynchronous processing, and network programming. • Experience building cloud-native microservices using Docker, Kubernetes, REST APIs, and event-driven architectures leveraging Kafka, RabbitMQ, or similar messaging technologies. • Experience with public cloud platforms including Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). • Knowledge of enterprise messaging platforms, messaging middleware, and event streaming technologies. • Experience designing and building multi-tenant SaaS platforms, with strong understanding of tenant isolation, scalability, security, and high availability. • Strong knowledge of databases such as PostgreSQL, MySQL, MongoDB, and Redis. • Experience with observability technologies including Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch. • Experience with CI/CD pipelines, Git, Infrastructure as Code, and modern DevOps practices. • Excellent debugging, performance tuning, and troubleshooting skills for distributed systems. • Strong communication, technical leadership, mentoring, stakeholder management, and cross-functional collaboration skills. • Bachelor's or Master's degree in Computer Science or an equivalent discipline. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Overview: Johnson Controls is seeking a highly skilled Senior PIM & AI Solutions Engineer to accelerate our enterprise product data platform with next‑generation AI capabilities. This role blends deep PIM engineering expertise with hands‑on AI solution development, leveraging Inriver Inspire AI, large language models (LLMs), AI agents, content generation/translation engines, and productivity automation frameworks. You will partner with product owners, architects, and Product Marketing to deliver intelligent, scalable solutions that improve product content quality, streamline enrichment workflows, automate data transformations, and enhance speed‑to‑market. This includes enabling Inspire AI features, building validation workflows, generating data‑loader templates from intake sheets, and evaluating new AI tools that drive operational efficiency across the product content lifecycle. Responsibilities Build (PIM, AI, and Workflow Engineering) • Enable, configure, and optimize Inriver Inspire AI features for content generation, localization, translation, and enrichment. • Design and implement AI agent–driven workflows for content validation, attribute completeness checks, enrichment task routing, automated suggestions, and metadata generation. • Build automations for intake‑to‑PIM transformations, including generating data loader sheets, mapping templates, cleansing rules, and exception handling. • Design and evolve product data models (entities, attributes, CVLs, relationships), taxonomy/classification structures, validation rules, and versioning strategies. • Engineer bulk data onboarding processes including imports, ETL transformations, AI‑assisted cleanup, and quality checks. • Integrate PIM with AI services/agents, translation services, downstream systems, and internal applications via REST APIs, message/event‑based patterns, and workflow orchestration. • Produce technical documentation including AI workflow designs, prompt & tool catalogs for agents, integration specs, data models, and operational runbooks. AI Enablement & Productivity Innovation • Evaluate, prototype, and operationalize AI/ML tools and agent frameworks to improve productivity across Product Marketing and product content operations. • Build internal AI utilities/agents for tasks such as content rewriting, translation, categorization, attribute derivation, and taxonomy recommendations. • Establish best practices for prompt engineering, tool calling, retrievers, model selection, evaluation metrics (quality, latency, cost), and human‑in‑the‑loop (HITL) review. • Ensure ethical, secure, and compliant use of AI within enterprise guidelines (governance, data privacy, PII/PI policy adherence). Platform & Engineering Excellence • Apply OOP/SOLID principles and modern engineering practices to deliver maintainable and scalable PIM/AI solutions. • Implement unit/integration tests and participate in CI/CD processes (Azure DevOps pipelines or equivalent). • Drive data governance standards including completeness, consistency, accuracy, localization, lineage, and auditability. • Promote best practices for agent safety/guardrails, evaluation harnesses, and continuous improvement in an Agile/Scrum environment. Required Qualifications • Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience. • 6–8 years of engineering experience with C#/.NET, REST APIs, and MS SQL Server. • 2+ years of hands‑on experience building AI-driven applications, including LLM workflows, RAG pipelines, prompt orchestration, or automated content-generation systems. • Practical experience developing or integrating AI agents using frameworks such as Azure AI Orchestration, Semantic Kernel, Lang Chain, or equivalent tool‑calling architectures. • Experience with Azure OpenAI or comparable LLM platforms (model configuration, prompt design, evaluation, cost optimization). • Strong understanding of enterprise AI patterns: retrieval-augmented generation (RAG), embeddings, translation/normalization pipelines, content quality evaluation, and human‑in‑the‑loop (HITL) review loops. • Hands‑on experience implementing automated workflows, data transformations, and bulk import processes. • Knowledge of PIM concepts, including data modeling, enrichment workflows, validation, localization, and taxonomy. • Strong debugging and optimization skills for both PIM workflows and AI-driven automations. • Excellent communication skills and ability to work across engineering, Product Marketing, and data governance teams. Preferred Qualifications • Inriver PIM experience (strongly preferred): advanced configuration of entities/links/CVLs, Inspire AI tuning, workflow customization, extensibility, connectors, and operational monitoring. • Experience designing enterprise-grade AI solutions beyond basic prompting, such as multi-agent coordination, planning capabilities, or workflow orchestration frameworks. • Hands-on experience with RAG optimization (embeddings tuning, vector index design, evaluation frameworks) and enterprise search technologies. • Familiarity with AI quality evaluation, A/B testing, prompt safety guardrails, observability, and monitoring for model performance or agent behavior. • Experience implementing AI-driven translations or localization pipelines at scale (e.g., Azure Translator, Language Studio, or 3rd‑party translation engines). • Understanding of ML Ops / AI Ops concepts, including model lifecycle management, logging, cost governance, and versioning. • Experience building automation solutions for product content operations (intake-to-PIM flows, automated validation gates, bulk enrichment, or classification systems). • Knowledge of event-based integration patterns, pub/sub architectures, and microservices. • Exposure to data governance, stewardship processes, and omnichannel content syndication.

Custom Apps Development .NET Developer - Associate Consultant- MFT - KGS CH The Team The role sits within the Cloud Engineering / Custom Apps team in Group Digital and contributes to the development, enhancement, and support of internally developed applications supporting platform engineering and business services. The application portfolio includes operational tooling, reporting platforms, workflow automation solutions, integration services, and enterprise applications that enable critical technology and business processes across the Firm. The team collaborates closely with architects, senior developers, platform engineers, security teams, vendors, and business stakeholders to deliver secure, scalable, and reliable solutions. The Role The .NET Application Developer is responsible for developing, testing, deploying, and supporting enterprise applications and services built on the Microsoft technology stack. The role involves working across the software development lifecycle, contributing to solution design, coding, testing, deployment, troubleshooting, and continuous improvement activities. The successful candidate will work as part of a collaborative agile team to deliver high-quality solutions that meet business and operational requirements. Design, develop, test, and maintain applications using C#, .NET, and ASP.NET Core technologies. Collaborate with senior developers, architects, and business stakeholders to understand requirements and deliver technical solutions. Develop and maintain APIs, integrations, and backend services. Participate in code reviews and contribute to engineering best practices and coding standards. Troubleshoot application issues and support root cause analysis activities. Write clean, maintainable, and well-documented code. Contribute to CI/CD pipelines and DevOps practices to improve software delivery efficiency. Support application deployments and production releases. Work with SQL Server and other data technologies to develop and optimize database solutions. Assist in implementing security, performance, and scalability improvements. Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives. Collaborate with cross-functional teams to ensure successful delivery of business requirements. Support application maintenance, upgrades, and platform modernization initiatives. Continuously learn and adopt new technologies, tools, and development practices. Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline. Approximately 4+ years of experience in software development using Microsoft technologies. Strong hands-on experience with C#, .NET Framework, .NET Core/.NET 8, and ASP.NET Core. Experience developing RESTful APIs and web applications. Experience working with SQL Server, database design, and query optimization. Familiarity with front-end technologies such as Angular, React, JavaScript, TypeScript, HTML, and CSS is desirable. Understanding of software engineering principles, design patterns, and object-oriented programming. Experience with source control systems such as Git and Azure DevOps. Familiarity with CI/CD practices and automated deployment processes. Basic understanding of cloud platforms, preferably Microsoft Azure. Experience working within Agile development environments. Strong analytical and problem-solving skills. Effective communication and stakeholder interaction skills. Ability to work independently while collaborating effectively within a team environment. Experience Level Mid Level

Hiring Manager: Indranath Mukherjee Talent Acquisition Advisor: Milind Mukund Dadape Job Code Level: DSP5 Refer Your Friends! AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. The Opportunity We are looking for an experienced Principal Software Developer to provide technical leadership for the Email Channel of our Messaging Channels Platform. In this role, you will define the technical architecture, lead the design and development of enterprise-scale messaging capabilities, and establish engineering best practices for a cloud-native communication platform. You will work closely with Product Management, Architects, Development, Security, and Cloud Operations to deliver highly available, secure, and scalable messaging solutions capable of processing millions of email transactions every day. You are great at • Providing technical leadership and architectural direction for enterprise messaging solutions. • Designing and developing highly scalable, resilient, and cloud-native email delivery platforms. • Leading technical design discussions and driving engineering best practices across multiple teams. • Building reliable SMTP-based messaging services with high availability, performance, and observability. • Solving complex email delivery and infrastructure challenges, including deliverability, routing, security, and performance optimization. • Driving architectural decisions, establishing engineering standards, and influencing the long-term technical roadmap. • Mentoring senior developers and fostering technical excellence across the organization. • Collaborating effectively with Product Management, Architects, Engineering, Security, DevOps, and Cloud Operations to deliver high-quality enterprise software. What it takes • 15+ years of software engineering experience with significant experience designing distributed enterprise applications. • Deep expertise in enterprise email technologies, including SMTP, KumoMTA, Postfix, PowerMTA, Exim, or similar Message Transfer Agents (MTAs). • Strong understanding of email protocols and standards, including SMTP, MIME, DSN, SPF, DKIM, DMARC, SMTP AUTH, STARTTLS/TLS, and DNS (MX, TXT, PTR). • Experience designing and operating high-volume email delivery platforms, including message routing, queue management, retry mechanisms, bounce processing, suppression management, sender reputation, IP warming, throttling, and ISP-specific delivery optimization. • Strong programming experience in Java, Python, or Rust (preferred) with expertise in concurrent programming, asynchronous processing, and network programming. • Experience building cloud-native microservices using Docker, Kubernetes, REST APIs, and event-driven architectures leveraging Kafka, RabbitMQ, or similar messaging technologies. • Experience with public cloud platforms including Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). • Knowledge of enterprise messaging platforms, messaging middleware, and event streaming technologies. • Experience designing and building multi-tenant SaaS platforms, with strong understanding of tenant isolation, scalability, security, and high availability. • Strong knowledge of databases such as PostgreSQL, MySQL, MongoDB, and Redis. • Experience with observability technologies including Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch. • Experience with CI/CD pipelines, Git, Infrastructure as Code, and modern DevOps practices. • Excellent debugging, performance tuning, and troubleshooting skills for distributed systems. • Strong communication, technical leadership, mentoring, stakeholder management, and cross-functional collaboration skills. • Bachelor's or Master's degree in Computer Science or an equivalent discipline. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations, including data acquisition, transformation, and loading processes, to enable the smooth functioning of data management systems and processes. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Summary- A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  Responsibilities: • Define and lead test strategies for data-intensive systems, ensuring alignment with quality and compliance goals.  • Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms.  • Integrate automated tests into CI/CD workflows using tools like Jenkins, GitHub Actions, or Azure DevOps.  • Collaborate with engineering, data, and business teams in Agile environments to ensure quality across the development lifecycle.  • Report key QA metrics and provide risk-based recommendations for release readiness.  • Stay current with testing trends, including AI-powered automation tools.     Mandatory skill sets:   • Strong background in ETL testing, data quality, and SQL.  • Experience with ETL tools  • Proficiency in test automation (Python, Java, PyTest, Selenium).  • Solid understanding of cloud platforms (AWS, Azure) and CI/CD.  • Familiar with Agile/Scrum practices and stakeholder collaboration. Preferred skill sets:   • Team Handling • Client Facing Years of experience required:   4-8 Education qualification:   B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Playwright Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Azure DevOps Server, Communication, Creativity, Database Administration, Database Performance Management, Database Quality Assurance, Database Troubleshooting, Data Error Checking, Data Optimization, Data Profiling, Data Quality, Data Quality Assessment, Data Quality Assurance Testing, Data Quality Automation, Data Science Troubleshooting, Data Validation, Data Warehousing Quality Assurance, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date August 31, 2026

Job Title: - Private Cloud Engineer / Architect Location: - Bangalore, India (Work from office) Experience: 8+ years Description Job Summary: We are seeking an experienced Private Cloud Engineer/Architect to design, implement, automate, and manage enterprise private cloud infrastructure. The ideal candidate will have strong experience with virtualization, software-defined data centers, Kubernetes/container platforms, cloud automation, networking, storage, and security. Key Responsibilities • Design and implement scalable private cloud infrastructure for enterprise environments. • Manage and administer VMware/VMware Cloud Foundation (VCF) or equivalent private cloud platforms. • Deploy and manage Kubernetes/OpenShift environments and containerized workloads. • Develop infrastructure automation using Terraform, Ansible, PowerShell, or Python. • Manage compute, storage, networking, load balancing, and disaster recovery components. • Implement high availability, scalability, backup, and business continuity solutions. • Integrate private cloud environments with AWS, Azure, or GCP where required. • Implement cloud security, IAM, encryption, network segmentation, and compliance controls. • Build and maintain CI/CD pipelines for infrastructure and application deployments. • Monitor cloud infrastructure performance, capacity, availability, and utilization. • Troubleshoot complex infrastructure, virtualization, networking, and application issues. • Create architecture documentation, technical standards, and operational procedures. • Collaborate with application, DevOps, security, network, storage, and infrastructure teams. • Mentor engineers and provide technical leadership on private cloud initiatives. Required Skills • Strong experience in Private Cloud / Cloud Infrastructure • VMware vSphere / ESXi / vCenter / VMware Cloud Foundation • Kubernetes / OpenShift • Linux administration • Cloud networking and security • Compute, storage, and virtualization • Terraform / Ansible • Python or PowerShell scripting • CI/CD and DevOps practices • Monitoring and troubleshooting • High Availability and Disaster Recovery • Strong understanding of TCP/IP, DNS, DHCP, load balancing, firewalls, and VLANs Nice to Have • AWS, Azure, or GCP experience • Nutanix or OpenStack • NSX / software-defined networking • Aria Operations / Aria Automation • Docker / containerization • GitHub / GitLab / Jenkins • Infrastructure as Code (IaC) • ServiceNow • Experience with regulated or large enterprise environments

Meet the Team At Cisco, we are redefining how our customers experience technology through the power of Cisco IQ Services and Applications. Our mission is to transform CX delivery by building intelligent, scalable platforms that anticipate needs rather than just reacting to them. As a member of our global, diverse, and AI-spec driven team, you will operate at the absolute frontier of innovation. We are deeply committed to leveraging the latest advancements in AI to build robust solutions that solve complex technical challenges for our enterprise customers, fostering a culture of curiosity, collaboration, and rapid iteration. CX Engineering | Experience: 5+ Years | Role Type: Software Engineer Role Overview We are seeking a Software Engineer to develop, and deliver scalable software solutions, driving end-to-end implementation across complex cloud-native and on-premises architectures. Key Responsibilities • Develop, test, and deploy Python-based applications and services aligned with Cisco’s Design Thinking Principles. • Write functional, clean code and unit tests with minimal guidance, enabling scale, reliability, and velocity in product releases. • Collaborate with product managers, designers, and engineers to define and implement new features that address customer needs. • Lead small-to-medium features or projects with limited complexity from technical design through completion. • Utilize AI-powered coding assistants, automation tools, and AI-driven analytics to accelerate coding, testing, documentation, and optimize software performance. • Stay current on industry trends, software development lifecycle, and agile engineering practices; coach others as needed. • Required Qualifications (Mandatory) • Working knowledge and expanded conceptual knowledge in primary technical job family; proficient with current technologies. • Proficiency in Python programming and related frameworks. • Strong understanding of software engineering principles, secure coding practices, and best practices. • Experience with version control systems (e.g., Git). • Ability to work effectively in a collaborative team environment. • Excellent problem-solving and communication skills. • Experience leveraging AI tools for coding assistance, automated testing, and code quality improvement. Preferred Qualifications • Experience with Cisco technologies or networking concepts. • Familiarity with cloud platforms, containerization, DevOps practices, and CI/CD pipelines. • Knowledge of automation tools and APIs. • Understanding of AI development platforms, AI infrastructure, and AI-powered workflow automation. • Experience with AI-driven troubleshooting and intelligent automation tools. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.