Top DevOps Jobs in Pune

Provide L2 technical support for the inSPire platform: investigate escalations, write and manage defect tickets, coordinate change approvals, perform API and data forensics, maintain demo/test environments, and communicate status to stakeholders while working with product and engineering teams.

Lead and manage engineering teams to deliver high-quality software solutions. Own delivery timelines, resource allocation, risk management, and process improvements. Mentor staff, conduct performance reviews, enforce technical standards, and collaborate with product, design, and stakeholders. Drive strategy, governance, regulatory compliance, incident/crisis management, and executive reporting to align technical execution with business objectives.

The Staff Engineer at Mindtickle will lead technical initiatives, mentor teams, design scalable systems, enforce architectural standards, and foster innovation to enhance software development practices.

Lead QA to embed quality into solution delivery: define and maintain unit tests, implement telemetry (InfluxDB/Grafana/Prometheus), manage defects and risks, ensure production-like test environments, mentor teams, and communicate status to senior stakeholders.

Lead cloud governance and controls across enterprise cloud platforms, driving vulnerability and risk management, ITSM alignment, audit readiness, process automation, and executive reporting. Act as a strategic partner to engineering, operations, and risk teams to enforce standardized, auditable processes, improve remediation ownership, and deliver operational transparency and KPIs.

Designs, governs, and implements DevOps and deployment orchestration solutions for complex Salesforce implementations. Advises clients, assesses existing processes, selects tools, establishes CI/CD frameworks, manages release and environment strategies, and ensures successful deployments. Leads architecture and design sessions, documents best practices, supports pre-sales discovery and proofs of concept, oversees Salesforce projects, and collaborates with internal product and delivery teams. Travel to client sites is estimated at 50–75%.

Design, develop, test, and maintain scalable production services, web applications, APIs, data pipelines, and distributed systems. Troubleshoot complex production issues, conduct code reviews, improve CI/CD and operational processes, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality, cloud-native software solutions.

Build, maintain, and automate scalable, secure infrastructure and deployment pipelines. Monitor systems, manage incidents, implement secure configurations, collaborate cross-functionally, and lead continuous improvement and team development.

Lead multiple full-stack engineering teams to deliver scalable, secure customer-facing and core banking solutions. Own end-to-end delivery, governance of engineering metrics, architecture reviews, risk and technical debt management. Drive engineering strategy, AI-enabled productivity, DevOps/SRE practices, talent development, and cross-functional collaboration to align technical work with business outcomes.

Administer and oversee IBM z/OS and associated subsystems, including CICS, Db2, RACF, storage, security, monitoring, and performance management. Lead software installations, upgrades, SMP/E maintenance, incident resolution, automation, compliance, and operational standards across global deployments. Coordinate managed service providers and partner with engineering, security, and application teams on modernization, CI/CD, APIs, z/OS Connect, and hybrid-cloud initiatives. Participate in 24x7 on-call support and AIOps-driven monitoring improvements.

Administer and support enterprise IBM/Software AG WebMethods environments across development, test, and production. Responsibilities include platform configuration, monitoring, performance tuning, security, access management, networking, incident resolution, upgrades, migrations, disaster recovery, documentation, governance, and infrastructure modernization. The role serves as Level 3 support, leads critical troubleshooting and migration efforts, and mentors junior administrators.

Own the reliability, scalability, security, and performance of large-scale Linux infrastructure supporting backup and disaster recovery services. Manage Kubernetes, infrastructure as code, CI/CD pipelines, monitoring, observability, incident response, and production troubleshooting. Automate operational tasks with Shell, Python, or Go; implement security controls; and collaborate with engineering and SRE teams to improve deployment processes and platform reliability.

Build and maintain reliable, scalable cloud-native systems on GCP using Docker and Kubernetes. Define and monitor SLOs, SLAs, and SLIs; automate infrastructure with Terraform, Helm, and Kustomize; develop observability and alerting with Datadog and GCP tools; conduct incident reviews; integrate reliability practices into GitHub Actions CI/CD pipelines; and troubleshoot databases, networking, and Linux systems.

Build and maintain reliable, scalable, and secure infrastructure platforms, cloud environments, and deployment pipelines. Responsibilities include managing Kubernetes and OpenShift platforms, developing CI/CD automation, providing L3 production support, monitoring system performance, resolving incidents, implementing security controls, and collaborating with product managers, architects, and engineers. The role also involves scripting, infrastructure automation, risk management, and continuous improvement.

Designs and improves infrastructure, cloud platforms, and deployment pipelines using DevOps and cloud-native practices. Manages OpenShift and Kubernetes environments, GitLab CI/CD workflows, release automation, observability, security controls, and production readiness. Troubleshoots Java applications, Kafka, Oracle, and platform issues while collaborating with development and platform teams. The role also contributes to governance, risk management, code quality, operational reliability, and delivery outcomes.

Provide Level 2 platform and application support for the Puma platform on AWS. Monitor infrastructure and applications (Zabbix, ELK), investigate incidents across Linux/Windows, Java/Tomcat, ActiveMQ, NGINX, and databases (Oracle, SQL Server). Perform post‑maintenance validation, RCA, escalation to L3, develop operational automation (Shell/Python), maintain runbooks in Confluence, and participate in shift/on‑call rotations.

Architect and build a scalable, production-ready, multi-tenant ecommerce SaaS platform. Define architecture and technical standards, implement backend and frontend (Python/React), design APIs, ensure reliability, security, observability, and drive CI/CD, DevOps, and best practices while mentoring engineering teams.

Implement, test, and deliver assigned features within sprints; write clean, well-documented code; participate in code reviews; collaborate with seniors, QA, and product; learn new tools and contribute to improving codebase and processes.

Lead delivery of strategic technology initiatives across cross-functional teams. Plan, track, and manage project schedules, budgets, risks, and dependencies. Coordinate stakeholders, run Agile ceremonies, review technical deliverables, and ensure compliance, release readiness, and operational support. Produce executive reporting and maintain governance and documentation.

Design, build, and maintain data pipelines, warehouses and lakes; ensure data accuracy, security and scalability; develop processing and analysis algorithms; support ML model deployment; lead or coach team members and influence cross-functional decisions while managing risk and controls.

Administer and architect enterprise Atlassian solutions across Jira Software, Jira Service Management, and Confluence. Configure workflows, permissions, automations, dashboards, and integrations with Microsoft 365, CI/CD pipelines, and business systems. Develop API and scripting solutions, maintain platform stability and documentation, establish governance standards, and advise stakeholders on platform strategy, best practices, security, and continuous improvement.

Designs and maintains Azure DevOps CI/CD pipelines, Azure infrastructure, and Infrastructure as Code using Terraform and Bicep. Manages monitoring, logging, security, compliance, recovery, and reliability practices. Collaborates with development and QA teams on containerization, testing, quality gates, and robust enterprise software delivery. The role also supports DevSecOps adoption and Microsoft Well-Architected Reliability Assessments.

Design, build, and maintain scalable ETL/data pipelines and data management blueprints. Ingest, transform, and curate large complex datasets for analytics, support cloud (AWS) implementations, enable downstream consumers, and provide technical leadership and operational support to ensure data governance, quality, and automation.

Lead design and delivery of scalable, high-performance data solutions with deep Snowflake expertise. Drive architecture, performance tuning, cost optimization, secure data sharing, CI/CD, testing, observability, and operational readiness. Diagnose distributed-system issues, mentor engineers, and collaborate with product and architecture stakeholders.

Design and lead GenAI and agent-based AI solutions for large-scale modernization programs. Define prompt engineering, orchestration, validation, guardrails, and human-in-the-loop workflows. Apply AI to legacy systems (COBOL, HP NonStop, C++) for code comprehension, dependency mapping, documentation, and test generation. Collaborate with solution and platform architects, work in Agile sprint-based delivery, and guide distributed offshore/onshore teams.