Top DevOps Jobs in Pune

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

Develop and scale generative AI applications, including RAG pipelines, answering engines, extraction tools, and content-authoring solutions. Build and optimize prompts, embeddings, vector databases, caching layers, and other GenAI components. Collaborate with data scientists and clients to deploy machine learning pipelines and manage the ML lifecycle using cloud platforms such as AWS, Azure, and GCP. Apply software engineering, DevOps, CI/CD, and distributed computing practices to create scalable, user-focused AI products.

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.

Leads technical product strategy for Mastercard’s switching solutions platforms. Defines product vision, roadmaps, features, and customer experiences while partnering with architects, developers, program managers, business stakeholders, and executives. Uses data and KPIs to guide decisions, manage risks, resolve escalations, and improve adoption. Oversees product operations, mentors junior product managers, leads cross-functional initiatives, and represents Mastercard in customer and strategic roadmap discussions.

Lead Software Engineer responsible for developing, maintaining, and supporting high-availability payment platforms. The role involves Java backend development, Oracle database work, REST and event-driven integrations, production reliability, Agile delivery within SAFe, distributed team collaboration, testing, automation, and continuous improvement. Experience with Spring Boot, Angular, JavaScript, SQL, DevOps tools, and security mechanisms is required; payment or financial-services experience is preferred.

Leads software engineering for scalable backend systems, data platforms, and pipelines supporting analytics and AI products. Manages data engineering contractors, reviews architecture and code, drives engineering standards, and partners with product and program teams on delivery. Oversees reliability, security, testing, CI/CD, observability, technical risk, and engineering metrics while helping build a future full-time engineering organization.

Lead the modernization of Mastercard’s dispute management platform. Own the technical product roadmap and backlog, translate system designs into features and user stories, define acceptance criteria, analyze software requirements, and guide Agile delivery. Partner with Engineering and global stakeholders to prioritize work, manage dependencies, measure outcomes, improve processes, and deliver API-driven platform capabilities from design through customer integration.

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.

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.

Leads full-lifecycle design, implementation, optimization, and troubleshooting of 4G/5G mobile wireless and packet core solutions. Serves as the primary technical and customer-facing focal point, develops network architectures and technical documentation, supports presales, performs risk and security assessments, and guides cross-functional teams. The role also includes mentoring engineers, leveraging cloud-native technologies and automation, and working swing shifts to support customers across the Americas.

Lead customer-facing lifecycle consulting engagements for 4G/5G mobility and packet-core architectures. Own technology design, implementation, optimization, troubleshooting, documentation, risk assessment, and solution delivery. Advise customers, support presales, collaborate with Cisco Engineering and partners, develop high- and low-level designs, and mentor engineers. The role requires advanced expertise in Cisco platforms, cloud-native technologies, virtualization, automation, networking, and customer-focused technical leadership.

Leads enterprise-scale Databricks Lakehouse architecture and implementation, including data ingestion, transformation, governance, security, sharing, and analytics integrations. Designs scalable pipelines with PySpark, Delta Lake, Auto Loader, and Delta Live Tables; implements Unity Catalog, privacy controls, and performance optimization. Provides client and cross-functional leadership across data science, analytics, and platform teams, while guiding adoption of advanced Databricks capabilities and developing technical talent.

Designs, develops, and executes automated testing strategies to validate software functionality, performance, user experience, and quality. Creates automated test scripts using Playwright and Selenium, analyzes requirements, contributes to acceptance criteria, performs root cause analysis, supports defect resolution, participates in code reviews, and promotes quality engineering, Agile, DevOps, and shift-left testing practices.

Build and maintain reliable, scalable, and secure messaging infrastructure, including Exchange Online, hybrid deployments, SMTP gateways, identity management, and directory services. Automate operational processes with PowerShell and Python, integrate APIs, monitor infrastructure, resolve incidents, implement cloud security controls, and collaborate with product, architecture, and engineering teams. The role also supports compliance and journaling solutions and contributes to technical governance and continuous improvement.

As a Test Manager - VP, you'll lead a testing team, oversee software quality assurance, implement testing strategies, and collaborate with stakeholders to enhance software solutions. You'll also ensure adherence to secure coding practices and manage risks effectively.

Leads the design, optimization, operation, and scalability of Azure-based database platforms supporting high-volume regulatory reporting. Responsibilities include SQL Server and Azure SQL engineering, performance tuning, resilience, automation, cloud adoption, production support, incident resolution, and continuous improvement. The role mentors engineers, serves as the senior database escalation point, and partners with Product, Engineering, Architecture, and Support teams to deliver a secure, scalable platform.

Architects and implements enterprise integrations using Oracle Integration Cloud across Oracle Fusion SaaS, Oracle EBS, and third-party systems. Configures adapters, develops process automations and Visual Builder extensions, manages bulk data integrations, and establishes governance, monitoring, error handling, and replay capabilities. Provides Tier-3 production support, root-cause analysis, and technical mentorship while contributing to middleware migrations and DevOps automation.

Designs and develops scalable data management solutions, including data acquisition, integration, transformation pipelines, data structures, and cloud or edge infrastructure. Uses Azure Data Factory, ADLS, Databricks, SAP Data Services, DevOps pipelines, and containerization. Collaborates with analysts, architects, product owners, and technical leads to define requirements, deliver high-quality code, and support application enhancements.

Designs, codes, tests, and manages scalable data acquisition, integration, transformation, and management pipelines using Azure, Databricks, SAP Data Services, and DevOps practices. Builds data structures supporting Data as a Service, develops cloud and edge infrastructure, manages CI/CD pipelines and containerization, and collaborates with analysts, architects, product owners, and technical teams to deliver data-driven solutions.