Top DevOps Jobs in Pune

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

Lead Level 3 application support for cloud and on-prem Digital Solutions: own incident resolution, perform deep diagnostics and root cause analysis, collaborate with DevOps/Engineering/Product teams to improve platform stability, monitor system health, and enforce IT service delivery processes.

Maintain and improve availability, disaster recovery, change and release processes. Build and manage DevOps pipelines, IaC (Terraform), containerized deployments (Docker, Kubernetes), monitoring, and automation. Support cloud (AWS/Azure) operations, troubleshoot service issues, document procedures, and participate in technology evaluations and deployments.

Provide global ITIL subject-matter expertise to support business development, product, marketing and partner enablement. Engage clients, deliver webinars and events, support sales enablement and drive ITIL ecosystem growth and brand awareness.

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

Design, implement, and manage GCP-based CI/CD pipelines and platform infrastructure. Automate provisioning with IaC (Terraform/ARM), maintain build/release pipelines, manage Git workflows, integrate automated testing, enforce security best practices, and implement monitoring, logging, and tracing. Collaborate with development and security teams to ensure reliable deployments and platform health.

Design, develop, and refactor scalable, secure .NET-based cloud services on Azure/AWS. Lead code quality, performance optimization, API integration, mentoring, CI/CD improvements, and production troubleshooting while collaborating with product, QA, and architects.

Lead the design and implementation of DevOps solutions, focusing on CI/CD pipelines and cloud resource management across multiple platforms.

Design, build, and optimize high-volume data pipelines using Python, Databricks and Spark on Azure. Create and maintain automation test suites (Azure DevOps), perform manual/load/exploratory testing, collaborate with BAs and developers to meet sprint goals, and assist with sprint estimation and delivery.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

Design, build, and maintain reliable, scalable, secure infrastructure and CI/CD pipelines (GitLab). Manage application deployments on OpenShift, automate workflows, monitor incidents to reduce MTTR, enforce security and architecture standards, and provide technical leadership and cross-functional collaboration.

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.

Design, implement, and maintain SRE/DevOps practices and CI/CD pipelines. Manage Azure cloud infrastructure and containerized applications (Docker, Kubernetes). Automate provisioning and operations, implement observability (monitoring, logging, alerting), participate in incident response and root cause analysis, and collaborate with development, security, and platform teams to improve reliability and scalability.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

Design, develop, and maintain scalable Java/Spring Boot backend services on Unix. Lead architecture, perform code reviews, debug and optimize applications, mentor junior engineers, participate in Agile ceremonies, and collaborate with cross-functional teams.

Design, build, and maintain scalable test automation frameworks and CI/CD-integrated test suites for carrier-grade network systems. Apply AI/ML for intelligent test generation, anomaly detection, and predictive analysis. Analyze test/network data, develop visualization tools, collaborate with development and QA teams, and contribute to test strategy, reviews, and documentation to improve quality and delivery velocity.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Design, develop and deliver scalable software and automation for infrastructure and deployment pipelines. Build and maintain Java-based UI and integration test automation (BDD/Gherkin, Cucumber, Selenium) across MQ/Kafka/file integrations. Lead or advise teams on testing across ST/SIT/E2E in regulated banking, enforce secure coding and unit testing, manage defects with JIRA, and collaborate with product and engineering stakeholders to improve quality and delivery.

Build and maintain standardized container images and reliable, observable CI/CD pipelines for a cloud-native platform. Improve build performance, security, reproducibility, dependency management, caching, and supply-chain security. Integrate vulnerability scanning, reduce remediation time, document golden paths, and improve developer experience. The role partners across engineering and security teams, influences platform architecture and tooling, and enables teams to ship safely and efficiently.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

Lead design, deployment and scaling of on-prem Kubernetes container infrastructure and CI/CD platforms. Build automation, observability, and analytics tooling; maintain OSS CI/CD (GitLab/GitHub/Jenkins); develop integrations, monitor metrics, and support data-center compute environments for Windows and Linux.

Design and implement infrastructure deployment frameworks using Terraform and Azure DevOps, manage Kubernetes clusters, and enhance CI/CD pipelines for application deployments.