Top Tech Jobs & Startup Jobs in Pune

Leads solution architecture, technology strategy, and design governance for .NET full-stack enterprise applications and Azure data platforms. Defines scalable, secure, cloud-native architectures spanning front end, APIs, microservices, integration, and data layers. Guides engineering teams, conducts design reviews, evaluates technologies, manages architectural risks, and communicates decisions to technical and business stakeholders. Provides targeted hands-on support for proofs of concept, troubleshooting, architecture validation, and complex technical challenges.

Develop and maintain Java and Node.js applications and microservices using Spring Boot and React. Optimize Cosmos DB design and queries, conduct code reviews, mentor developers, maintain CI/CD pipelines, troubleshoot production issues, and collaborate cross-functionally. The role also involves adopting modern development tools, including GitHub Copilot, IntelliJ IDEA, and code linters.

Lead Platform Engineer to design, build, and maintain CI/CD pipelines and deployment automation. Own application-level dev/test/deploy tasks, troubleshoot and refactor code, implement Chef-based automation, orchestrate Jenkins builds linking tools like Sonar, Maven, and Artifactory, and drive DevOps standards and scaling across global teams.

Leads two software engineering teams while splitting time among technical leadership, people management, and recruiting. Responsibilities include code reviews, technical backlog ownership, technology debt reduction, architecture review, production support, operational readiness, infrastructure coordination, and continuous refactoring. Requires hands-on expertise in Java, J2EE, Spring, Spring Boot, RESTful web services, event-driven architecture, scalable web services, and vulnerability remediation.

Lead architecture, design, development, and delivery of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, architecture reviews, technical strategy, cross-team execution, system reliability, security, observability, and continuous delivery while mentoring engineers and collaborating across globally distributed teams.

Collaborate with client-facing teams to gather technical requirements, design and implement GenAI and data solutions, write production-ready code and tests, follow architecture and coding best practices, use version control and CI/CD, and research/evaluate new technologies and prototypes.

Performs manual penetration testing of web, mobile, API, and microservices applications; conducts secure code reviews and design assessments; identifies and validates vulnerabilities; documents findings; supports remediation and incident response; guides junior testers; and promotes secure coding and application security awareness.

Leads the strategy, development, commercialization, and full lifecycle execution of UL Solutions’ Marketing Claim Verification Program. Coordinates cross-functional teams, manages stakeholders, risks, budgets, governance reviews, testing methodologies, customer-facing deliverables, and continuous improvement. Supports growth through opportunity development, proposals, customer engagement, and value proposition creation while translating technical concepts into market-focused solutions.

Leads end-to-end delivery of complex technical epics and engineering initiatives across multiple teams. Responsibilities include planning, estimation, dependency and risk management, Agile delivery, governance, stakeholder communication, milestone tracking, and executive reporting. The role requires strong software development lifecycle knowledge, engineering delivery experience, and the ability to translate technical issues into business outcomes. Experience with AI, Generative AI, Machine Learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Defines enterprise architecture direction, standards, patterns, governance, and roadmaps across complex initiatives. Guides application rationalization, modernization, technical debt reduction, integration strategies, data architecture, and technology selection. Advises senior leaders on technical and financial implications, coordinates alignment across engineering, security, data, product, and business teams, and promotes scalable, secure, AI-ready solutions. Maintains application TCO analysis, leads architecture reviews, and mentors architects and technical teams.

Create and maintain SaaS administrator documentation, KB articles, and in-app content. Collaborate with product, engineering, UX, QA, and support; test and update docs for continuous delivery and beta releases; research unfamiliar topics to produce accurate, timely content.

Owns a cybersecurity detection coverage area, including backlog prioritization, technical direction, detector design, implementation, code reviews, tuning, and performance measurement. The role improves detection fidelity, ATT&CK coverage, false-positive reduction, and regression prevention while translating threat intelligence, threat hunting, and SOC feedback into roadmap priorities. It requires deep expertise in at least one detection domain and hands-on detector-as-code development with version control and controlled deployment.

Supports SaaS customer provisioning, including account setup, product activation, trials, contract updates, portal changes, and deactivations. Validates requests against Salesforce, contracts, entitlements, approvals, and policies; coordinates with cross-functional teams to resolve blockers; follows SOPs; supports audits, SLA tracking, reporting, and documentation; and identifies automation and AI-assisted process improvement opportunities.

Own and support the Atlassian environment, including Jira and Confluence administration, user access, project configuration, workflows, integrations, documentation, dashboards, and reporting. Troubleshoot user issues, support ITSM processes, collaborate with IT, DevOps, and business teams, and improve platform governance, automation, scalability, and user experience.