Top Tech Jobs & Startup Jobs in Pune

Develops and productionizes machine learning and data science solutions for Mastercard’s Business & Market Insights products. Responsibilities include feature engineering, model training and deployment, exploratory analysis, large-scale PySpark processing, advanced SQL, pipeline optimization, responsible AI controls, and product innovation. Partners with product, engineering, sales, and clients to prioritize solutions, deliver milestones, incorporate feedback, and improve products. Provides technical leadership and mentorship to junior data scientists.

Manages multiple software engineering teams developing and supporting payment fraud and transaction resilience applications. Responsibilities include hiring, coaching, performance management, budgeting, technical strategy, architecture, code quality, security, vulnerability management, technical debt prioritization, capacity planning, incident reduction, CI/CD automation, release testing, and performance testing. Requires strong Java development experience and expertise with Spring Boot, secure coding, operating systems, application troubleshooting, design patterns, and engineering productivity practices.

Develop, test, deploy, configure, and document secure, scalable software for Mastercard’s authentication and payment security products. Own delivery tasks, collaborate with distributed teams, support software metrics, improve processes, and mentor junior engineers. The role requires Java and Spring Boot expertise, database and web-stack experience, CI/CD implementation, testing practices, and familiarity with cloud, microservices, payment security, and Agile methodologies.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.

Provides U.S. immigration subject matter expertise and broader global mobility support, managing visa sponsorship, permanent residency, relocations, transfers, assignments, compliance, vendors, escalations, and employee guidance. Partners with counsel, Legal, HR, Talent Acquisition, managers, and global stakeholders; assesses complex cases, identifies risks, develops recommendations, manages reporting and dashboards, and supports mobility policies, communications, and strategic initiatives.

Design, build, and ship production LLM and agentic AI systems for cybersecurity products. Lead architecture, model strategy, fine-tuning, post-training, inference optimization, evaluation, and deployment. Establish engineering practices, lead design reviews, mentor engineers, manage cross-functional technical outcomes, and translate customer needs into scalable, commercially viable AI solutions.

Design, develop, test, deploy, and support scalable Java backend applications using Spring Boot, microservices, and REST APIs. Own features through production, build secure and resilient services, collaborate with product, architecture, QA, DevOps, and engineering teams, and contribute to code reviews, troubleshooting, root cause analysis, and engineering best practices.

Design and maintain Java-based test automation frameworks for Spring Boot microservices. Own API, integration, regression, and end-to-end testing, including Kubernetes deployment validation, migration testing, database verification, contract testing, and CI/CD integration. Validate resilience, asynchronous processing, regional configurations, service integrations, and production readiness. Collaborate with development and platform teams to resolve defects and improve automation coverage, reliability, and quality.

Architect and deliver high-performance Angular-based UI experiences for SailPoint’s cloud SaaS product. Build responsive TypeScript components, define REST API contracts with microservices teams, resolve customer UI issues, improve frontend architecture and automated test coverage, and prevent critical regressions. The role also includes mentoring engineers, collaborating with UX and Product Management, estimating quarterly epics, and leading frontend architecture planning in an Agile environment.

Leads the architecture and development of AI-focused quality engineering frameworks, evaluation pipelines, synthetic data tools, prompt regression suites, and self-healing automation. Establishes strategies for testing hallucinations, model drift, bias, accuracy, reliability, performance, and scalability in AI-driven enterprise products. Provides architectural direction, advises executives, mentors engineers, drives cross-functional adoption of AI testing standards, and represents the company externally.

Design, build, and operate production AI services, agentic workflows, and LLM-powered features. Responsibilities include developing Python APIs and microservices, implementing RAG and vector search, optimizing model inference, integrating event-driven systems, deploying services on Docker and Kubernetes, monitoring reliability, managing CI/CD and testing, and partnering with frontend teams to deliver end-to-end AI products.

Leads advanced crashworthiness and NVH simulations for automotive seating systems using LS-DYNA and OptiStruct. Ensures compliance with global safety regulations, supports simulation-driven design optimization, mentors junior analysts, collaborates with global teams, and guides suppliers in delivering robust, lightweight, cost-effective seating solutions.

Leads 24x7 EDI production support for the US market across Sterling B2B Integrator, Axway B2Bi, and Lightwell. Responsibilities include monitoring transactions, troubleshooting mapping and connectivity failures, managing incidents and escalations, coordinating with partners and vendors, maintaining SLAs, supporting onboarding, and improving operational processes. The role guides support teams, drives root-cause analysis, maintains documentation, and strengthens reliability for critical healthcare business integrations.

Designs, deploys, and drives adoption of New Relic observability solutions for strategic customers. Architects scalable monitoring for microservices, serverless, and distributed systems; integrates observability with cloud platforms, IaC, CI/CD, and platform engineering workflows; leads technical workshops; troubleshoots deployments; and creates documentation, training, and implementation best practices.