Top Tech Jobs & Startup Jobs in Pune

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.

Develop scalable, cloud-native full-stack applications using React, Java, and Spring Boot. Build secure REST APIs and microservices, optimize responsive and accessible user experiences, maintain high-quality UI and backend code, and collaborate cross-functionally on enterprise solutions.

Designs and maintains CI/CD pipelines for data, analytics, and machine learning solutions across on-premises and Azure environments. Manages containerized workloads, infrastructure, observability, security, scalability, and ML model deployment using Docker, Kubernetes, Azure services, Python, MLflow, and Azure ML. Leads solution design and estimation, promotes DevOps and MLOps best practices, documents operational standards, and collaborates with business, technology, governance, data, and analytics stakeholders.

Build and maintain scalable batch and streaming data pipelines, ingestion processes, curated datasets, and data models for analytics and reporting. Support data quality monitoring, documentation, governance, security, troubleshooting, code reviews, testing, and CI/CD. Collaborate with analysts, product owners, developers, and DevOps teams to deliver reliable data products using Azure, Python, SQL, Spark, Databricks, Synapse, and related tools.

Principal Data Engineer responsible for setting enterprise data-platform strategy and architecture across multiple teams. Defines standards for Databricks, Spark, dbt, DataOps, CI/CD, and observability; leads platform architecture, technology evaluations, migration, scalability, deployment, and cost strategy. Resolves complex cross-cutting data challenges, mentors senior engineers, influences architecture decisions, and partners with leadership on long-term roadmaps.

Lead the strategy, architecture, and evolution of enterprise data platforms supporting secure data exchange, discovery, governance, integration, and self-service consumption. Establish scalable patterns for data quality, lineage, observability, privacy, and security while reducing bespoke workflows through automation. Provide technical leadership across engineering organizations, influence architecture decisions, mentor technical teams, and translate complex business needs into reusable cloud and on-premises data solutions.

As a Software Engineer II, you'll design, develop, and maintain software solutions while collaborating with project teams and enhancing code quality and processes.

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.