Top DevOps Jobs in Pune

Designs and manages secure, scalable Azure infrastructure for multiple security products. Builds Terraform infrastructure-as-code modules, governs cloud environments, optimizes costs, and develops GitHub Actions CI/CD pipelines with integrated security scanning. Partners with engineering teams, manages operational workflows in Jira, participates in on-call support, and leads root-cause analysis to improve platform resilience.

Leads technical onboarding, enablement, and co-selling support for contact center partners. Designs scalable Zendesk, Amazon Connect, and AWS architectures; provides technical strategy, mentorship, solution guidance, demonstrations, proofs of concept, and implementation support. Develops partner training materials, ensures security and governance compliance, and promotes AI, machine learning, automation, and omnichannel contact center innovations. Collaborates with sales, engineering, vendors, and internal teams to drive partner success and accelerate solution deployment.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Leads engineering teams delivering software solutions for Barclays’ multi-year SOLD Simplification initiative. Responsibilities include technical direction, COBOL development, platform modernization, delivery planning, roadmap management, stakeholder coordination, risk management, process improvement, mentoring, performance reviews, testing, and technology standards enforcement. The role requires Tandem and mainframe expertise, accounting knowledge, legacy-platform migration experience, DevOps exposure, and strong communication skills.

Lead a hands-on engineering organization in Pune by architecting and troubleshooting complex solutions, setting technical standards, overseeing product development and maintenance, and driving Agile, DevOps, QA, cloud, and AI-enabled delivery practices. Recruit and develop engineering talent, manage teams of 30 or more, engage clients as a technical advisor, translate business goals into technical roadmaps, and contribute to revenue, margin, and account growth.

Designs and manages Azure DevOps CI/CD pipelines; integrates source control, testing, security, and artifact tools. Containerizes applications with Docker and deploys them to Kubernetes and AKS. Automates Azure infrastructure using Terraform and ARM templates, implements monitoring and alerting, troubleshoots Azure data services, and develops data pipelines for Azure Data Factory, Data Lake, and Databricks.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Leads high-performing data and AI engineering teams delivering scalable data products, analytics foundations, AI/ML capabilities, and reliable cloud platforms. Responsibilities include people leadership, stakeholder partnership, architecture governance, product delivery from prototype to production, data modeling and pipelines, AI-assisted development, DevOps/DataOps, security, observability, incident management, and continuous improvement.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Designs and maintains cloud infrastructure using infrastructure-as-code, builds CI/CD pipelines, and improves reliability, scalability, security, monitoring, and deployment workflows. Troubleshoots infrastructure incidents, drives automation, manages observability tools, and contributes to DevOps standards and operational playbooks across cloud environments.

Lead deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.

Build, maintain, and scale highly available AWS and GCP infrastructure, Terraform-based automation, and CI/CD pipelines. Manage containerized production environments, networking, databases, security, observability, incident response, and disaster recovery. Improve reliability, performance, cost efficiency, and compliance with HIPAA, SOC 2, and HITRUST. Collaborate with engineering teams on automation, deployment practices, documentation, and operational excellence.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Leads continuous improvement, process transformation, automation, and technology-enabled efficiency initiatives across banking capital markets BPS and IT operations. Manages improvement and change portfolios, applies Lean and Six Sigma methodologies, oversees SDLC best practices, develops delivery KPIs, collaborates with global teams, and reports progress to organizational and client leadership.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

Owns full-cycle recruitment from sourcing through offer acceptance for technical and non-technical roles. Uses job boards, LinkedIn, referrals, campus channels, ATS/HRMS platforms, and AI-assisted screening tools to build pipelines and conduct first-round evaluations. Coordinates interviews, communicates with candidates, manages offers and pre-employment checks, tracks recruiting metrics, maintains candidate records, and hands accepted hires to the HR Manager for onboarding.

Develop secure, high-performance financial transaction systems using Java, Spring Boot, microservices, React.js, and RESTful APIs. Build and integrate financial APIs using OAuth2 and JWT, ensure PCI DSS and GDPR compliance, optimize high-volume low-latency applications, and collaborate with product teams. Participate in Agile practices, code reviews, and DevOps activities while delivering technical solutions across business and product stakeholders.

Lead product strategy and development for data management solutions in life sciences, ensuring market relevance and user satisfaction while managing lifecycle and stakeholder alignment.

Lead design and delivery of Revenue Cloud Advanced solutions and CPQ-to-Revenue-Cloud transformations. Architect Agentforce and GenAI quoting agents, own data models, pricing logic, and integrations. Build extensibility with Apex, LWC, Flows, enforce CI/CD and automated testing, mentor Salesforce developers, and communicate technical risks to stakeholders.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

Leads application production support across the full technology stack, overseeing troubleshooting, deployment, development, observability, availability, reliability, capacity, and resiliency. Partners with business users, developers, cybersecurity, and infrastructure teams to meet application demands. Develops tooling and application enhancements while managing disaster recovery, high availability, and cloud resiliency. Experience in asset management or global investment banking is relevant.