Top Tech Jobs & Startup Jobs in Pune

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.

Leads hands-on design, development, testing, documentation, deployment, and support of secure, scalable Java backend and microservices solutions. Collaborates with architecture, product, security, platform, QA, and cross-functional Agile teams; drives technical decisions, code quality, testing coverage, production support, root-cause analysis, and continuous improvement. Mentors junior engineers and contributes to engineering standards and knowledge sharing.

Lead and architect cloud-native, event-driven payment switching solutions. Build and deliver full-stack microservices using Java and Spring Boot, ensure performance, security and NFRs, mentor teams, drive automation and CI/CD, coordinate global stakeholders, and run proofs-of-concept to improve product quality.

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

Own the strategy and roadmap for Mastercard’s Test & Learn business experimentation product. Conduct user and market research, prioritize problems, define use cases, write requirements, support feature development and testing, and measure outcomes. Collaborate with engineering, UX, sales, marketing, and other product teams. Identify opportunities to enhance business measurement and optimization through AI, while mentoring teammates and making strategic product decisions.

Design, develop, and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, follow security and architectural standards, and participate in testing, code reviews, deployments, incident response, and root-cause analysis. Improve CI/CD pipelines, automation, documentation, and engineering workflows while adopting AI-assisted development tools. Contribute to Agile planning, technical research, project estimation, and continuous learning.

Secure identities for AI systems by discovering and inventorying AI/non-human identities, enforcing least-privilege lifecycle controls, implementing access policies, monitoring identity behavior, performing assessments and remediation, supporting governance and compliance, producing metrics and runbooks, and advising engineering teams on AI identity security best practices.

Designs and implements automated test frameworks and Java-based automation for API, UI, integration, regression, and end-to-end testing. Integrates tests into Jenkins CI/CD pipelines, performs defect and root-cause analysis, defines test strategies, and collaborates across development, product, and DevOps teams. The role also involves Agile participation, quality engineering improvements, and mentoring junior engineers.

Deploys as a principal engineer across Mastercard Services teams to write production code, resolve technical bottlenecks, accelerate delivery, and establish reusable capabilities. Designs and deploys AI assistants, agents, and multi-agent workflows using LLMs, RAG, evaluation, observability, and governance. Coaches teams on AI-first software development, transfers knowledge, develops reusable patterns, and partners with architecture and platform teams to scale solutions.

Design, develop, test, deploy, and support scalable full-stack applications using Java, Spring Boot, React, microservices, REST, gRPC, messaging, and relational databases. Own initiatives from requirements through production, contribute to architecture and technical decisions, build automated tests using TDD, improve CI/CD and engineering productivity with AI-assisted tools, troubleshoot production issues, conduct code reviews, and mentor engineers while collaborating across distributed teams.