Top DevOps Jobs in Pune

Build and enhance Ethoca products across the full software development lifecycle, including design, development, testing, deployment, configuration, and documentation. Develop scalable test automation frameworks, review quality solutions, promote shift-left practices, and contribute to architecture and design decisions. Collaborate with product and engineering teams, manage risks, integrate services, mentor engineers, and improve operational metrics. Work with microservices, distributed systems, cloud-native applications, APIs, CI/CD platforms, and data validation.

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.

Leads the architecture, implementation, and operation of scalable Azure cloud infrastructure and platform capabilities. Defines secure infrastructure standards, automation, and self-service provisioning using Infrastructure as Code. Drives resilient, observable, and cost-efficient platform designs, leads complex initiatives and production rollouts, resolves cross-system issues, partners with security and operations teams, and mentors engineers while setting technical direction across teams.

Provides technical and delivery leadership for large-scale payment-network initiatives. Defines secure, scalable, highly available architectures; coordinates releases, dependencies, defect resolution, and cross-team engineering execution; leads design reviews and architecture governance; establishes standards, guardrails, reusable patterns, and resiliency strategies; and mentors engineers and technical leads. The role emphasizes distributed systems, multi-region recovery, observability, reliability engineering, security, operational readiness, and stakeholder communication across globally distributed teams.

Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.

Leads end-to-end delivery of complex technical initiatives for Mastercard’s Automatic Billing Updater platform. Coordinates multiple Agile/Scrum teams, manages roadmaps, dependencies, risks, delivery commitments, retrospectives, and stakeholder communications. Develops execution plans, improves delivery processes, and serves as the source of truth for project status. Requires strong technical understanding of platforms, software engineering challenges, payments, and distributed systems.

Designs, develops, and maintains Java-based test automation frameworks for payment processing platforms. Builds functional, API, integration, regression, UI, and end-to-end test suites covering authorization, clearing, tokenization, and payment workflows. Integrates automated tests into CI/CD pipelines, manages test data and environments, analyzes failures, and collaborates with engineering teams to improve software quality and automation efficiency.

Lead technical program delivery for Mastercard’s eCommerce payment products and platforms. Manage multiple cross-functional technology programs from planning through completion, coordinate engineering and dependent teams, define roadmaps, mitigate risks, resolve blockers, and communicate status to senior leadership. Partner with product managers, engineers, architects, customers, and vendors while making business and technical trade-offs. The role requires strong cloud-native platform knowledge, agile delivery experience, technical software engineering understanding, and 12+ years of technical program delivery experience.

Own and grow enterprise customer accounts across India by developing territory and strategic account plans, expanding adoption of Atlassian’s SaaS portfolio, and consistently exceeding sales targets. Coordinate with solution engineers, customer success, technical account managers, channel partners, and marketing teams. Build executive relationships, lead consultative solution selling, uncover expansion opportunities, and support cloud migration and business outcomes.

Leads engineering strategy and delivery for a high-volume fraud detection platform. Manages cross-functional software teams, mentors engineers, oversees the full development lifecycle, and drives DevOps, CI/CD, observability, reliability, incident response, and continuous improvement. Partners with product and business stakeholders on roadmaps, budgets, and priorities while communicating technical direction to executives. Requires expertise in scalable distributed systems, cloud infrastructure, secure architecture, digital payments, and engineering transformation.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Lead design and delivery of scalable Salesforce solutions, provide technical leadership on implementations and integrations, enforce development best practices, manage data modeling and migrations, optimize platform performance, collaborate with stakeholders, and mentor developers to ensure secure, maintainable Salesforce architecture.

Lead Software/Platform Engineer focusing on DevOps and platform engineering. Design, implement, and operate infrastructure, automation, and CI/CD; collaborate with stakeholders and mentor engineering teams to deliver reliable, scalable systems.

Supports Mastercard’s production readiness and application reliability by defining SLOs and SLIs, monitoring systems, automating operations, participating in on-call rotations, conducting incident post-mortems, and contributing to system design, capacity planning, governance, and compliance. Collaborates with product and platform teams, provides engineering guidance, promotes reliability throughout development, and mentors junior SREs. The role targets early-career candidates with one to two years of related experience preferred.

Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.

Lead the technical direction, reliability, security, and scalability of platform infrastructure, deployment pipelines, and operational automation, especially within a FedRAMP environment. Design infrastructure-as-code, improve observability and incident response, build microservice automation, guide platform migrations, partner with security and compliance teams, and mentor engineers.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Leads software engineering teams responsible for building, modernizing, and operating a global, multi-tenant rewards platform. Responsibilities include people leadership, service ownership, delivery planning, technical guidance, production readiness, incident resolution, reliability, security, observability, cloud modernization, agile execution, and stakeholder collaboration. The role drives engineering quality, operational excellence, automation, documentation, and improvements to DORA metrics across high-volume platform services.

Develop and deploy AI and machine learning solutions for DNV’s maritime business processes. The role covers stakeholder engagement, data analysis, technical architecture, experimentation, programming, testing, DevOps release cycles, and production integration. The successful candidate will identify new applied AI opportunities, collaborate with data scientists, developers, engineers, and domain experts, and contribute to business value through practical AI systems.

Develop and improve scalable, maintainable, secure software solutions using Java, Spring Boot, REST APIs, Angular, databases, and modern engineering practices. Collaborate with product managers, designers, and engineers; participate in code reviews; implement automated testing; and support CI/CD, cloud, containerization, microservices, and production operations. The role also involves secure coding, risk management, technical guidance, stakeholder communication, and continuous improvement.

Design, develop, and execute automated testing strategies for software functionality, performance, user experience, and quality compliance. Create automated scripts, perform API and database testing, analyze defects, support root-cause resolution, and collaborate with cross-functional teams. Lead testing governance, risk management, reporting, distributed testing teams, mentoring, and continuous improvement across Agile and CI/CD delivery environments.

Leads software design, implementation, optimization, and technical consulting engagements for Cisco customers. Translates business requirements into solution architectures, supports presales and project scoping, develops integrations and simulations, resolves complex technical issues, and creates documentation and training. Provides customer guidance, mentors engineers, and contributes to strategic projects involving software development, cloud, microservices, automation, databases, AI, and Cisco service technologies.

Design, develop, and scale enterprise low-code applications using Power Apps, Power Automate, Mendix, and ServiceNow. Build workflows, integrations, data models, and business logic; integrate SAP, Azure, REST APIs, and middleware; and establish architecture, governance, security, compliance, and reusable components. Collaborate with stakeholders, architects, and product owners to deliver business solutions, mentor junior developers, support citizen developers, and drive platform adoption and innovation.

Lead and scale distributed product engineering teams, drive delivery and technical strategy, ensure architecture and DevOps best practices, adopt AI-assisted development tools, collaborate with product and cross-functional partners, mentor engineering managers and developers, and improve engineering productivity, quality, and predictability.

Develop and maintain scalable full-stack web applications using React, TypeScript, HTML, CSS, Python, and Flask. Deploy and troubleshoot production software using DevOps pipelines, Azure, Docker, Unix, and Git. Collaborate on application requirements, prioritize client features, mentor junior developers and interns, and support analytics and machine learning integrations. The role is fully remote with flexible hours and emphasizes independent work, maintainability, and work-life balance.