Top DevOps Jobs in Pune

Lead migration of datacenter applications to AWS, build scalable cloud infrastructure, automate deployments, enable AI/ML workloads, ensure operational excellence and FedRamp security improvements, collaborate with developers, and maintain SaaS uptime with strong documentation and runbooks.

Lead quality engineering strategy for web and mobile consumer experiences. Design scalable automation frameworks, establish risk-based testing and governance, build automated web, mobile, API, integration, and end-to-end suites, and embed quality across delivery teams. Drive accessibility, performance, cross-browser and cross-device validation, release readiness, quality metrics, experimentation testing, and continuous improvement while partnering with Product, Design, Engineering, and Architecture.

Owns administration, optimization, monitoring, automation, high availability, and disaster recovery for Linux servers and Oracle databases across production and non-production environments. Responsibilities include Oracle installation, patching, backup and recovery, performance tuning, infrastructure strategy, alerting, documentation, and out-of-hours support. The role partners with infrastructure and technology teams to improve platform reliability, scalability, and operational effectiveness.

Lead the technical direction, architecture, development, governance, integrations, releases, and operations of Wilhelmsen’s IFS Cloud ERP platform. Responsibilities include overseeing customizations, Aurena pages, reports, enterprise integrations, deployment pipelines, environments, access governance, platform reliability, technical standards, and vendor delivery. The role partners with business stakeholders and architects to translate requirements into secure, scalable, upgrade-safe solutions while mentoring technical teams and supporting the ERP roadmap.

Drive the IT compliance and SOX program across ITGCs and ITACs, including control design, effectiveness testing, audits, documentation, risk assessment, and remediation. Oversee access, change management, computer operations, cloud configuration, automated controls, and financial-reporting systems. Partner with Engineering, Product, Security, Finance, auditors, and control owners to automate evidence collection, implement continuous monitoring, sustain SDLC controls, and guide responsible AI adoption.

Build and maintain Java APIs, microservices, backend systems, and CI/CD pipelines using Spring Boot and cloud platforms. Support release cycles, production deployments, monitoring, incident management, root-cause analysis, and post-deployment validation. Collaborate in Agile teams, lead technical discussions, mentor junior engineers, and coordinate cross-functional delivery. The role requires strong software engineering fundamentals, database expertise, event-driven messaging knowledge, and ownership of development and release operations.

Lead architecture, design, customization and implementation of Dynamics 365 CRM (Sales, Customer Service) solutions. Build integrations using Dataverse, plugins, Power Platform, C#/.NET and Web Services; author user stories and design artifacts, conduct code reviews, enforce CRM standards, guide development teams, and support Azure/DevOps and Scrum delivery.

Lead design and implementation of scalable, secure SaaS architecture. Drive DevOps best practices, CI/CD, monitoring, and modernization of legacy apps. Ensure SOC2 compliance, mentor engineers, coordinate onshore-offshore workflows, perform root-cause analysis for production issues, and collaborate with product and design to deliver high-quality software.

Lead design and implementation of scalable, low-latency equities trading systems. Hands-on Java development, provide technical guidance, enforce code quality, mentor engineers, collaborate with global stakeholders, and drive CI/CD, cloud, and DevOps practices to meet performance, reliability, and business requirements.

Design, govern and administer enterprise BI platform (PowerBI, Cognos) on cloud (Azure/AWS/Snowflake). Architect BI solutions, semantic layers and data products to enable self-service analytics. Implement data quality, access, environment management, and DevOps/DataOps practices. Lead small teams, document best practices, engage stakeholders, and support analytics lifecycle and migration to cloud.

Design, implement, and support cloud-native infrastructure and DevOps practices. Build and maintain CI/CD pipelines, manage Azure cloud services, deploy containerized apps with Docker and Kubernetes, automate infrastructure with Terraform/ARM/Bicep and scripting, monitor performance, and implement security controls and release automation.

Lead design, build, and operation of Azure cloud infrastructure and platform services. Own architecture, IaC automation (Terraform/Bicep/ARM), resiliency, security, cost, observability, CI/CD, and mentor engineering teams while driving cross-team alignment and platform standards.

Define and drive solution architecture for the Client Onboarding & Lifecycle Management (COLM) platform. Design end-to-end, scalable, secure integrations and data flows; maintain architecture artifacts; govern via enterprise frameworks; lead cloud (Azure) adoption, DevOps automation, and POCs; partner with stakeholders, engineering leads, and product owners; rationalize capabilities and ensure production stability, observability, and compliance in regulated environments.

Lead architecture and design of cloud-native Java/Spring Boot microservices and full‑stack applications. Define HLDs/LLDs, cloud (Azure/AWS) architectures, containers/Kubernetes, event-driven patterns, and non-functional requirements. Guide legacy modernization, incorporate AI/GenAI where applicable, collaborate with product and governance, and mentor senior engineers to drive best practices.

Lead QA efforts to design, build and manage production-like non-PROD environments, provision and mask test data, enable end-to-end testing across distributed microservices, monitor environment health, and support CI/CD pipelines while ensuring compliance and data traceability.

Own root-cause analysis and fixes for customer-reported production issues: reproduce complex bugs, implement robust code fixes, collaborate with product/QA/support, automate testing, monitor post-release behavior, maintain troubleshooting docs, mentor juniors, and improve incident processes to increase product reliability and customer satisfaction.

Contribute to development and maintenance of cloud-based SaaS applications: write, test, and debug code; fix bugs; implement small features; learn CI/CD, Git, and DevOps practices; participate in code reviews and QA; collaborate with cross-functional teams and document technical processes.

Designs and maintains automation for provisioning, deployment, configuration, patching, testing, and troubleshooting of distributed Hyperscale environments. Develops Python, Shell, and Ansible frameworks; manages infrastructure across bare-metal, virtualized, containerized, cloud, and on-premises platforms; and supports VMware, Hyper-V, Kubernetes, OpenShift, and PXE deployments. The role also performs root-cause analysis, validates software across platforms, improves engineering productivity, and resolves complex product and customer issues.

Leads enterprise DevOps and DevSecOps architecture, platform ownership, CI/CD automation, secure software delivery, and engineering adoption across global financial technology teams. Designs resilient pipelines using GitHub, Azure DevOps, Sonatype, and Broadcom CA Release Automation; embeds compliance controls; provides hands-on technical direction; and partners with engineering, infrastructure, risk, and governance stakeholders to improve delivery and operational resilience.

Manage and improve AWS cloud infrastructure, CI/CD pipelines, Docker and Kubernetes deployments, infrastructure-as-code, monitoring, security, and application reliability. The role includes Terraform or CloudFormation automation, deployment lifecycle management across multiple environments, Linux troubleshooting, incident investigation, cost optimization, DevSecOps practices, and collaboration with development, QA, and product teams.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Design and maintain scalable Java and Spring Boot backend services, REST APIs, microservices, and event-driven systems. Build cloud-native applications using Docker, Kubernetes, and AWS while ensuring reliability, security, observability, and performance. Use AI-assisted development tools for coding, testing, debugging, documentation, and reviews. Participate in architecture discussions, production support, incident response, and on-call rotations. Collaborate across engineering and product teams and mentor other engineers.

Lead and mentor a 10-15 engineer product team to deliver scalable, API-first platforms. Own end-to-end module delivery, promote CI/CD and automation, enforce performance, security, observability, and partner with Product to translate requirements into technical designs.

Co-develop software and AI-powered products from ideation through launch and scaling. Responsibilities include designing scalable architectures, building MVPs and production platforms, providing technical leadership, guiding product direction, and making innovation decisions. The partner will use AI engineering techniques such as RAG, LLM integrations, prompt engineering, model fine-tuning, and intelligent agents. This is a flexible, remote, project-based partnership with potential joint intellectual property and revenue sharing, not traditional employment.