Top Tech Jobs & Startup Jobs in Pune

Owns the design, development, deployment, maintenance, and production support of critical insurance applications and platforms. Responsibilities include incident resolution, root cause analysis, system integration, performance optimization, code reviews, technical design, Agile delivery, automated testing, CI/CD, modernization, documentation, and deployment leadership. The role requires hands-on full-stack expertise with Python, React, and Java, plus strong operational ownership and collaboration across global teams.

Designs and develops AI and machine learning models, including NLP and computer vision systems. Deploys models into scalable production applications using APIs, microservices, and cloud platforms. Handles large datasets, trains and optimizes models, evaluates performance, and collaborates with data scientists and software engineers to deliver business-aligned AI solutions.

Designs and operates secure, scalable AWS infrastructure for AI/ML workloads. Builds Terraform-based cloud environments, GitLab CI/CD pipelines, Kubernetes platforms, observability with Prometheus and Grafana, intelligent alerting, and self-healing systems. Tracks DORA metrics, improves reliability and cost efficiency, supports production AI/RAG deployments, establishes governance and security standards, and mentors engineers. Requires strong AWS, Terraform, Kubernetes, monitoring, scripting, and AI/ML platform experience, with preferred exposure to modern MLOps and generative AI ecosystems.

Design, build, deploy, and optimize agentic AI solutions on Google Cloud using Google ADK and Vertex AI. Develop AI agents, machine learning models, integrations, and MLOps workflows across services such as BigQuery, Cloud Run, and Pub/Sub. Partner with stakeholders, QA, and cloud engineers to deliver production-ready solutions, implement responsible AI safeguards, monitor performance, and improve models, prompts, grounding, and agent logic.

Design, build, and scale Java-based microservices and SaaS infrastructure on AWS. Lead distributed-system architecture, REST and event-driven APIs, full-stack development, automated testing, CI/CD, observability, and performance optimization. Collaborate with product, UX, and DevOps teams, author technical designs, deliver production features, and mentor engineers. The role requires ownership of high-priority initiatives and contributions to long-term platform strategy.

Supports Mastercard’s operational risk management program across shared services. Responsibilities include identifying and assessing risks, evaluating control gaps, developing remediation plans, maintaining risk registers and audit schedules, conducting incident and root-cause analysis, monitoring KRIs, coordinating audits, and preparing leadership reporting. The role also supports compliance monitoring, process and controls documentation, risk testing, and development of AI-based preventative and detective controls.

Develop and optimize Databricks ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Python. Translate client business problems into technical designs, lead project modules, manage delivery tasks, mentor team members, and collaborate with architects, analysts, and clients. Responsibilities include data governance, documentation, solution architecture, testing, deployment planning, risk mitigation, and delivery of technology solutions in a hybrid, client-facing consulting environment.

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.

Lead the technical direction, architecture, training, fine-tuning, evaluation, and production deployment of LLM and agentic AI systems for cybersecurity products. Optimize inference at scale, establish engineering standards and release evaluations, make model strategy decisions, resolve complex technical trade-offs, and mentor senior engineers. The role remains hands-on while influencing cross-team product and platform investments.

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.