Top Engineering Jobs in Pune

Manages software engineering and testing teams, including hiring, coaching, performance management, budgeting, code reviews, test planning, automation, debugging, release coordination, CI/CD pipelines, performance testing, quality standards, and process improvement. Requires strong Java-based automation, software testing lifecycle, Agile methodology, secure coding, vulnerability scanning, microservices, databases, and stakeholder collaboration experience.

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 the strategic design and evolution of enterprise IAM platforms, secure authentication, deployment automation, and API integrations. Engineers proactive defenses using platform telemetry and security logs, advises technology leadership on cloud migration and compliance capabilities, resolves critical identity platform outages, hardens systems, and evaluates emerging identity and zero-trust technologies.

Manages and coaches multiple software engineering teams developing cloud-native B2B payment platforms, microservices, and web applications. Responsibilities include talent management, technical leadership, architecture, code quality, security, vulnerability management, testing, performance optimization, platform capacity, CI/CD automation, release workflows, incident mitigation, and engineering productivity. The role partners with product and business stakeholders, manages budgets, addresses technical debt, and ensures reliable, scalable, compliant software delivery.

Manage and mentor a cross-functional engineering team to design, build, and deploy analytics and AI-driven full-stack solutions. Lead technical direction, architect scalable data pipelines and APIs, collaborate with product and design, and champion cloud-native, testable, production-grade applications while promoting continuous improvement and responsible AI practices.

Leads multiple software engineering teams responsible for secure, scalable, and resilient payment-network platforms. Sets technical direction, owns portfolio delivery, develops engineering leaders, and partners with product, architecture, operations, security, and business teams. Establishes standards for quality, automation, reliability, release readiness, and continuous improvement while managing hiring, performance, succession planning, and career development.

Develops and maintains ETL/ELT pipelines, legacy SSIS and SSAS solutions, reporting platforms, and relational and dimensional data models. Tunes SQL, data pipelines, semantic layers, and reporting workloads for performance and reliability. Supports Snowflake and cloud-native data platforms, documents data lineage and procedures, responds to ServiceNow incidents, and follows HIPAA, ITIL, governance, and change-control standards. Collaborates across technical and analytics teams while supporting healthcare data systems and modernization initiatives.

Leads and develops a high-performing software engineering team building full-stack business experimentation and optimization applications. Responsibilities include supervising and mentoring engineers, designing scalable service-oriented architectures, leading projects from inception through release, developing software, reviewing code, planning features, improving engineering processes, and collaborating across teams. The role requires expertise in full-stack, data, cloud, microservices, databases, and advanced software development practices.

Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

Configure and maintain enterprise IAM platforms and directory services. Diagnose authentication and platform performance issues, implement API integrations and automation scripts, create technical documentation and runbooks, test secure identity protocols, and validate platform upgrades and security patches in non-production environments.

Lead and manage a software engineering team to design, develop, and deliver backend solutions. Define technical direction, drive cross-department initiatives, partner with business stakeholders, manage budget/resources, enforce processes, and ensure timely, high-quality delivery using microservices, event-driven architectures, CI/CD, containerization and cloud-native platforms.

Leads a software engineering team while balancing technical, managerial, and recruiting responsibilities. Oversees planning, production support, enhancements, development, code reviews, technical backlogs, technical debt, refactoring, architecture collaboration, operations readiness, and 24/7 product support. Requires hands-on expertise in Java, J2EE, Spring, Spring Boot, RESTful services, event-driven architecture, Angular, scalable web services, vulnerability remediation, and AI-driven development practices.

Leads engineering strategy and delivery for a high-volume fraud detection platform. Manages cross-functional software teams, mentors engineers, oversees the full development lifecycle, and drives DevOps, CI/CD, observability, reliability, incident response, and continuous improvement. Partners with product and business stakeholders on roadmaps, budgets, and priorities while communicating technical direction to executives. Requires expertise in scalable distributed systems, cloud infrastructure, secure architecture, digital payments, and engineering transformation.

Leads and develops a distributed software engineering team responsible for a customer-deployed virtual appliance. Owns engineering execution, architecture guidance, roadmap delivery, Scrum practices, reliability, incident response, vulnerability remediation, hiring, and team development. Requires technical fluency in Linux, virtualization, containers, customer-installed software, SaaS connectivity, and AI/LLM tools, while partnering closely with Product Management and cross-functional engineering teams.

Leads and manages software engineering teams developing scalable Java, cloud, and microservices-based products and platforms. Responsibilities include architecture leadership, hands-on development, code reviews, technical design, agile delivery, engineering quality, cloud enablement, streaming analytics, recruiting, mentoring, and stakeholder collaboration. The role oversees the full software development lifecycle and advances high-volume data access, platform strategy, and engineering productivity.

Designs and maintains enterprise IAM platforms and directory services, develops API integrations and automation, analyzes authentication telemetry and logs, creates technical architectures and runbooks, validates upgrades and security patches, and tests secure identity protocols for enterprise solutions.

Performs electrical engineering design and analysis under experienced engineer supervision. Creates calculations, sketches, diagrams, schematics, and working drawings; collects and analyzes data; uses computer software to solve basic engineering problems; and completes work within established budgets and schedules. A bachelor’s degree is required.

Performs basic electrical engineering design and analysis under the supervision of experienced engineers. Creates calculations, sketches, diagrams, schematics, and working drawings; collects and analyzes data; uses engineering software to solve problems; and completes work within agreed budgets and schedules.

Design, develop, maintain, and tune scalable big data processing applications using Hadoop, Spark, Python, SQL, Hive, and related technologies. Write reusable, documented code; deliver data engineering projects; collaborate with QA, Operations, and cross-functional teams; participate in Agile/Scrum ceremonies; and troubleshoot application performance and reliability.

Software Engineering Interns will design, develop, maintain, debug, and enhance Red Hat products using Python, Golang, or similar languages. They will work with mentors and global engineering teams on projects involving RHEL, OpenShift, Ansible, and related technologies, collaborating across quality engineering, design, product management, and documentation. Candidates should be final-year bachelor's students with foundational software engineering knowledge, English proficiency, curiosity, and a willingness to learn and work collaboratively.

Leads engineering strategy, architecture, delivery, and operations for NVIDIA’s AI-powered employee productivity platform. Manages and develops engineering teams building web, mobile, and agentic experiences at global scale. Oversees technical roadmaps, distributed systems, enterprise integrations, reliability, security, privacy, observability, and responsible AI practices while partnering with Product, Design, HR, Security, SRE, and business stakeholders.

Performs entry-level electrical engineering design and analysis under the supervision of experienced engineers. Creates calculations, sketches, diagrams, schematics, and working drawings; collects and analyzes data; uses software to solve basic engineering problems; and completes assigned work within budget and schedule requirements.

Design and develop industrial rectifier and power hardware products, coordinating project timelines, reviews, specifications, and technical collaboration. Solve production and market problems, improve product efficiency, and apply power conversion engineering practices. The role requires expertise in rectifiers, UPS systems, PFC, inverter, buck, boost, LLC, and magnetic design, with familiarity in control theory, analog and digital electronics, EMI/EMC, CAD, and embedded software considered beneficial.

Designs electrical and electronic systems, including control panels, converters, PCBs, schematics, enclosures, and wiring harnesses. Prepares change orders and technical drawings using CAD tools, coordinates with mechanical and global engineering teams, supports customer consultation, maintains quality and schedules, and guides other engineers on assigned projects.