Top DevOps Jobs in Pune

Lead reliability-focused technical programs across Mastercard’s authentication platforms. Coordinate Agile ceremonies, resource planning, backlog prioritization, dependencies, release governance, platform upgrades, migrations, and production rollouts. Partner with Engineering and SRE teams to improve availability, resiliency, performance, scalability, operational readiness, observability, automation, and disaster recovery. Manage risks and stakeholder communication while influencing cross-functional teams and driving continuous operational improvement.

Develop scalable platforms and services for Mastercard’s Priceless platform. Responsibilities include hands-on software development, code reviews, collaboration with product and design teams, automated testing, CI/CD, cloud-native development, DevOps, stakeholder communication, and maintaining quality, reliability, security, and system performance.

Leads end-to-end software release planning, scheduling, dependency management, environment coordination, readiness governance, deployment execution, and risk mitigation across 7–8 interconnected products. Coordinates engineering, product, QA, SRE, infrastructure, customer delivery, and operations teams. Establishes release criteria, conducts go/no-go reviews, manages deployment war rooms, tracks release KPIs, and improves release predictability, stability, and governance in complex enterprise environments.

Provides architecture and technical delivery leadership for secure, scalable, highly available payment-network services. Defines cross-platform architecture, APIs, resiliency, security, observability, and operational standards; coordinates releases, dependencies, defect resolution, and multiple engineering workstreams. Leads architecture reviews, develops technical architecture documents, mentors engineers, establishes reusable engineering patterns, and drives multi-region resilience, disaster recovery, reliability engineering, and enterprise technology strategy across globally distributed teams.

Leads large-scale technical programs across multiple teams and enterprise integrations from inception through delivery. Establishes plans, dependencies, risks, mitigations, metrics, and reporting; facilitates retrospectives and continuous improvement; aligns product, engineering, and business stakeholders; and drives trade-off decisions. The role requires autonomous leadership, technical program delivery expertise, agile methodologies, data-driven decision-making, and strong cross-functional influence, with payments and platform technology experience highly valued.

Develop and support integration solutions using IBM App Connect Enterprise and Azure. Responsibilities include participating in the SDLC, designing APIs and middleware services, analyzing requirements, conducting design and code reviews, supporting QA and UAT, troubleshooting production issues, documenting solutions, and contributing to CI/CD operations. The role also requires stakeholder collaboration, adherence to IT controls, and delivery across multiple projects.

Develop and support full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; writing and reviewing code; developing CRUD APIs and microservices; supporting production incidents; participating in Agile planning and user-story refinement; and deploying applications in cloud environments. The role requires collaboration with product, Scrum, and architecture teams and hands-on experience with Java, React or Angular, SQL, Kubernetes, messaging systems, and cloud platforms.

Oversee SAP CPI integration projects from requirements through delivery, including technical design, development, testing, deployment, maintenance, and support. Lead onshore and offshore developers, administer the SAP CPI platform, manage security and users, monitor system health, troubleshoot issues, and ensure integration best practices. Collaborate with business and IT stakeholders, participate in scrum activities, certify deliverables, and maintain integration architecture.

Leads enterprise software design and development using .NET technologies, web frameworks, Azure, microservices, and domain-driven design. Provides technical direction, mentors developers, conducts code reviews, contributes to architecture and Scrum ceremonies, decomposes requirements, troubleshoots and improves applications, and develops reusable services and documentation. Requires strong team leadership, Agile experience, and collaboration across business and IT groups.

Design, build, test, and maintain scalable SaaS platform features and services. Participate in design and code reviews, troubleshoot production issues, improve reliability/security, mentor junior engineers, and collaborate across product, QA, and operations.

Develop and maintain modern web applications using Vue3.js, Node.js, and TypeScript. Build responsive, performant user interfaces and collaborate with product, UX, QA, and engineering teams. Troubleshoot defects, participate in code reviews, improve application reliability, and apply cloud development practices using AWS and related technologies.

Leads enterprise analytics and BI initiatives by architecting Power BI dashboards, standardizing KPIs, automating reporting, and analyzing complex datasets. Builds and deploys machine learning and generative AI solutions for forecasting, financial reporting, document insights, and chatbot support. Partners with finance, data engineering, and cross-functional teams to improve data governance, deliver strategic insights, mentor analysts, and promote data literacy.

Lead Oracle Transportation Management implementations from requirements gathering and solution design through configuration, testing, deployment, and migration. Configure OTM modules, automation agents, workflows, integrations, and reporting; troubleshoot and optimize solutions; prepare documentation; and guide junior consultants. Collaborate with stakeholders and project teams in Agile and DevOps environments while supporting global logistics and supply chain transformations.

Develop and deliver scalable, secure Java applications using distributed systems, Apache Kafka, cloud-native platforms, and Kubernetes. Lead technical design, architecture, testing, secure coding, and continuous improvement while collaborating across teams and mentoring developers. Drive enterprise application development, stakeholder alignment, risk management, and operational excellence across distributed environments.

Lead end-to-end solution architecture for Java and Spring Boot microservices, cloud-native platforms, full-stack applications, and event-driven systems. Drive modernization, cloud migration, security, scalability, and resilience initiatives across Azure or AWS environments. Produce architecture deliverables, incorporate AI capabilities, collaborate with product and engineering stakeholders, and mentor senior engineers while guiding enterprise technology decisions.

Develop and enhance custom software solutions using GCP Vertex AI, modern frameworks, and agile practices. Design and deploy scalable AI models, integrate cloud-based machine learning platforms, optimize production applications, and support DevOps workflows. Act as a subject matter expert, guide team decisions, improve engineering processes, collaborate across teams, and mentor junior engineers.

Develop and enhance custom software solutions using GCP Vertex AI and cloud-native services. Design scalable applications, optimize distributed-system performance, and apply agile development practices. Lead technical decisions, mentor team members, establish software engineering best practices, coordinate stakeholders, and collaborate across teams to align development work with business goals.

Design, build, and operate full-stack enterprise software using Java and TypeScript. Develop production LLM features, including agentic workflows, RAG pipelines, tool calling, and orchestration. Diagnose complex systems, resolve critical customer issues, improve reliability and scalability, conduct code reviews, guide junior engineers, and promote AI-assisted development practices across global teams.

Leads enterprise-scale Databricks lakehouse architecture and implementation, designing governed data platforms, scalable ETL/ELT pipelines, data models, integrations, security policies, and real-time analytics. Collaborates across data science, analytics, and platform teams while providing client leadership, execution ownership, performance optimization, and technical guidance on Unity Catalog, Delta technologies, data sharing, BI integrations, and advanced AI capabilities.

Leads enterprise data platform architecture and delivery, designing secure Databricks lakehouse solutions, scalable ETL/ELT pipelines, governance, data sharing, and analytics integrations. Provides hands-on guidance across Unity Catalog, Delta Lake, DLT, cloud platforms, data privacy, performance optimization, and real-time reporting. Partners with data science, analytics, and platform teams while providing client leadership, thought leadership, execution ownership, and people development.

Architects and implements enterprise-scale Databricks lakehouse platforms, including ingestion, transformation, governance, security, data sharing, and BI integrations. Leads Unity Catalog, Delta Lake, DLT, cloud architecture, performance optimization, and compliant PII management. Provides technical and client leadership across data, analytics, platform, and data science teams while guiding adoption of advanced Databricks capabilities and developing people.

Leads the architecture, development, testing, deployment, and optimization of high-performance C/C++ applications on Unix/Linux. Owns complex technical problems, payment cryptography, HSM integrations, concurrency, memory optimization, and system reliability. Provides technical leadership, mentors engineers, drives secure coding and CI/CD practices, troubleshoots production issues, conducts design reviews, and collaborates with product, QA, and operations teams.

Lead the design, development, operation, and continuous improvement of Syngenta’s enterprise Databricks-based data mesh platform. Ensure platform reliability, scalability, security, governance, data quality, and interoperability while enabling data engineering, analytics, and data science teams. Manage technical evaluations, prototypes, prioritization across business initiatives, stakeholder communication, team leadership, and delivery of secure data ingestion, processing, and sharing capabilities.

Leads the design, development, operation, and continuous improvement of Syngenta’s enterprise Databricks-based data mesh platform. The role focuses on reliability, scalability, security, governance, interoperability, and enabling data engineering, analytics, and data science teams. Responsibilities include developing ETL/ELT solutions, delivering prototypes and experiments, evaluating technologies, prioritizing initiatives, managing stakeholders, solving complex problems, and leading teams.

Designs, develops, tests, and improves mainframe software applications using COBOL and related IBM mainframe technologies. The role involves code reviews, unit testing, secure coding, debugging, performance optimization, Agile collaboration, automation, and DevOps adoption. The developer partners with product managers and engineers, contributes to technical communities, manages risk and controls, and may guide team members while supporting complex technology projects.