Top DevOps Jobs in Pune

The Senior Sales Development Representative will generate and qualify leads, engage with prospective clients, and build sales pipeline by connecting with technical leaders. Responsibilities include personalized outreach, managing CRM, collaborating with teams, and mentoring junior SDRs.

The role involves implementing and optimizing Salesforce Sales and Experience Clouds, configuring features, gathering requirements, and enhancing client engagement through customized solutions.

Lead architecture and delivery of Optimizely-based CMS/Commerce solutions. Design scalable, secure, and high-performance architectures; integrate with third-party systems; implement experimentation and personalization; mentor teams; support pre-sales and client engagements; and embed Optimizely Opal AI to automate workflows and intelligence.

Own and scale AWS cloud infrastructure, CI/CD pipelines, Kubernetes platforms, monitoring, reliability, security, and incident response. Build infrastructure as code, automate deployments, manage production environments, optimize costs, and implement backup and disaster recovery strategies. Partner with engineering, QA, and security teams to improve developer experience and operational standards, while participating in on-call rotations, leading incidents, documenting procedures, and mentoring junior engineers.

Supports CI/CD pipelines, cloud environments, automated builds and deployments, monitoring, logging, troubleshooting, documentation, and incident response. Collaborates with development, QA, Data Science, and MLOps teams to deploy and monitor applications and machine learning models. Assists with AIOps integration, infrastructure automation, ticket resolution, rollbacks, and maintaining standard operating procedures while developing DevOps expertise.

Designs and evolves an Azure-based observability and data quality platform. Builds reliable, automated infrastructure using IaC, CI/CD, Python, and Shell scripting; integrates AKS, Kafka, Databricks, Flink, Fivetran, and Azure SQL Server; develops monitoring and dashboards with Grafana, Prometheus, Power BI, or Databricks; applies SRE and FinOps practices to improve reliability, performance, data quality, incident response, compliance, and cloud cost efficiency.

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Build and maintain cloud infrastructure and CI/CD pipelines (GitLab). Automate environment creation with Terraform, manage Kubernetes clusters and Istio, deploy cloud services (Kafka, Elasticsearch, Redis, RDS), implement monitoring and scaling, support production systems, and provide on-call troubleshooting and non-disruptive release capabilities.

The role involves developing infrastructure for AI applications, managing deployment processes, analyzing data, and collaborating with developers to optimize automation systems in the Windows ecosystem.

Install, configure, and manage operating systems and Azure services for mission-critical client environments. Build scalable, auto-scaled infrastructure using automation and configuration management. Troubleshoot complex technical issues, manage problems, communicate with clients, and participate in 24/7 on-call support. Continuously improve processes, maintain Azure expertise, and support team development.

Manage and support Azure services and operating systems in mission-critical, customer-focused environments. Build scalable, auto-scaled client environments using images, configuration management, automation, and infrastructure-as-code. Troubleshoot complex issues, manage problems, provide 24x7 on-call support, communicate with clients and partners, improve processes, and mentor new team members. Maintain current Azure knowledge and certifications while delivering supportable solutions.

Own DevSecOps initiatives by integrating security gates into CI/CD pipelines, orchestrating SAST and DAST tools, triaging vulnerabilities, reviewing Java code for security flaws, and remediating OWASP Top 10 risks. Advise and mentor engineering teams on secure coding, threat modeling, secure architecture, and vulnerability mitigation before production deployment.

Architect and develop enterprise-scale distributed systems and microservices using Java, Spring, AWS, Docker, and Kubernetes. Build event-driven architectures, optimize Oracle and distributed database performance, establish engineering standards, mentor junior engineers, conduct code reviews, and troubleshoot complex production issues. Collaborate with architects and stakeholders to deliver technical solutions, evaluate emerging technologies, and champion DevOps practices and CI/CD pipelines.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

Lead design and development of scalable test automation frameworks and scripts using Selenium/TestNG with Java. Drive API and web services automation (SOAP UI), integrate suites with CI/CD tools (Jenkins, Maven, ANT), analyze results, perform feasibility studies, and collaborate with development and QA to improve coverage and automation efficiency.

Design, build, and maintain enterprise Atlassian solutions (Jira, JSM, Confluence). Translate business needs into configurations, automations, integrations, and dashboards. Integrate with M365, CI/CD, and other systems via APIs and scripting. Ensure platform stability, governance, documentation, and stakeholder collaboration while advising on platform strategy and continuous improvement.

Post-sale technical role embedding with enterprise engineering teams to deploy and scale AI-native developer workflows using Cursor. Configure environments, design workflows, run enablement, debug CI/CD and integrations, lead architecture reviews, drive adoption, and partner with Sales, Product, and Engineering to measure impact and expand usage.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

Create high-quality, customer-focused technical documentation for complex broadband/fixed-network products. Independently manage documentation schedules and team efforts, collaborate with PLM/R&D/Test to gather technical content, and deliver web-based publications using AsciiDoc/XML/Markdown and tools like Arbortext/Oxygen. Align documentation with SDLC/DDLC, structured writing principles, Agile and DevOps workflows, single-sourcing practices, and use Jira/Confluence/GitHub for content lifecycle management.

Design, develop, and improve software and platform capabilities using cloud infrastructure, infrastructure as code, CI/CD automation, containers, and scripting. Build scalable environments, deploy and manage applications, support software delivery throughout the development lifecycle, and promote secure, maintainable, well-tested solutions. Collaborate with product managers and engineers, contribute to technology strategy, manage risk and controls, and guide team members on complex assignments.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Provide Salesforce administration and development support across Sales, Marketing Cloud, and Pardot. Maintain platform governance, data integrity, integrations, and build declarative and programmatic solutions (Apex, LWC). Configure Service and Experience Cloud features, design API integrations, manage cross-cloud journeys, and support data migrations, SLAs, and release management.

As a Community Engineer at Canonical, you will lead community initiatives, support volunteers, and enhance community contributions to Ubuntu, using technical and organizational skills.

Leads DevOps and SRE practices for enterprise data and AI platforms, focusing on reliability, scalability, security, automation, and operational excellence. Responsibilities include designing CI/CD pipelines, managing cloud infrastructure, implementing Infrastructure as Code, defining SLOs and observability standards, leading incident response, improving MTTR, and mentoring engineers. The role also establishes operating models, governance, on-call processes, and platform reliability practices across data engineering, AI/ML, application, and product teams.

Provide L2 application support for People, SGDIR and IGG applications. Manage incidents and problems per ITIL, monitor and troubleshoot tickets using SQL and Excel, and use Informatica and DevOps knowledge to debug and fix minor issues to ensure smooth operations.