Top Software Engineer Jobs in Pune

Build Gather AI’s data foundation from scratch by creating PostgreSQL extraction pipelines, dbt models, semantic metrics, data quality controls, tenant isolation, lineage, and documentation. The role includes warehouse data movement, ingestion-boundary validation, CI/CD delivery, safe backfills, on-call ownership, and collaboration across product, ML, security, and integration teams. Engineers will initially support the Drone product and later expand the platform to additional robotics and warehouse products.

The Senior Software Engineer is responsible for designing, developing, and delivering software solutions, ensuring compliance with standards and managing the software development life cycle.

As a Lead Software Engineer, you will design and develop microservices, build full-stack applications, ensure code quality, and collaborate with team members in an Agile environment.

The Senior Software Engineer role involves full stack development, test automation, and quality assurance activities, ensuring software meets business standards and security requirements. Responsibilities include test planning, defect management, mentoring junior members, and improving processes.

Responsible for developing software solutions, leading system development activities, ensuring quality control, and mentoring team members while adhering to standards and best practices.

Lead software engineering projects, creating solutions and mentoring teams. Manage day-to-day activities to meet service level agreements and identify opportunities for enhancements. Ensure QA processes compliance throughout SDLC, support compliance audits, and educate the team on security responsibilities.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Design and develop C/C++ software for Ethernet and optical networking systems, including OTN protocols and embedded Linux platforms. Responsibilities include board bring-up, interface driver development, unit test harness creation in Python, requirements review, feature integration, validation, and coding quality checks. The role collaborates with diverse teams and values adaptability. Experience with FPGA programming, agile methods, and DWDM transport is advantageous.

Designs and develops blockchain security products, core frameworks, APIs, infrastructure, and automation for large-scale distributed systems. Responsibilities include architecture standards, performance tuning, incident troubleshooting, system refactoring, continuous delivery, capacity management, and reusable libraries. The role also engages users, coordinates with cross-functional teams, and addresses security risks involving blockchain, smart contracts, wallets, and on-chain attacks.

Lead architecture and delivery of scalable, resilient cloud-native payment platforms. Own system design, microservices, APIs, event-driven architectures, performance, observability, and security. Lead full-stack development (Java/Spring Boot, Angular), mentor engineers, enforce engineering standards, drive CI/CD/DevSecOps, and integrate AI capabilities for product enhancements.

Provides technical leadership across multiple engineering teams and domains. Designs and guides scalable backend services, APIs, integrations, cloud architectures, and distributed systems. Leads cross-functional initiatives from discovery through production, improves reliability, security, observability, performance, and cost efficiency, and mentors senior engineers. The role also supports modernization, production operations, incident reviews, customer communications platforms, enterprise integrations, and practical use of AI-assisted engineering tools.

Develops, tests, implements, and maintains software applications and frameworks across multiple platforms. Leads application design, feature delivery, system upgrades, migrations, testing, troubleshooting, documentation, and process improvements. Provides Level 3 support, recommends architecture and security improvements, ensures code quality, collaborates with QA and technology partners, and mentors less experienced engineers.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Owns technical direction for backend services and high-throughput content-processing pipelines. Designs scalable production systems, evaluates AI/ML integrations, leads cross-team architecture initiatives, and drives systems from requirements through operations. Responsibilities include monitoring reliability, troubleshooting production issues, mentoring engineers, leading RFCs and architectural reviews, and raising engineering standards through technical leadership.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Lead a high-performing software engineering team developing scalable backend services for industrial automation and IoT. Provide technical direction, mentor developers, guide architecture, coordinate cross-functional work, estimate development efforts, perform automated testing, participate in agile ceremonies, conduct code reviews and pair programming, and ensure timely, high-quality delivery. The role requires hands-on development using C/C++ and/or Lua, along with expertise in software engineering fundamentals, operating systems, concurrency, databases, networking, and application security.

Build and own end-to-end evaluation frameworks for LLMs and multi-step AI agents, including benchmarks, automated and human-in-the-loop evaluators, golden datasets, regression suites, production monitoring, and quality dashboards. Partner with research, product, Trust & Safety, and legal teams to define rigorous metrics and translate evaluation results into training and deployment decisions. Mentor engineers and establish evaluation best practices.

Build end-to-end data- and AI-driven applications across user interfaces, backend services, APIs, and data integrations. Develop prototypes and production-ready solutions, support analytics use cases, and collaborate with product, business, data, and platform teams. Responsibilities include implementing CI/CD, automated testing, monitoring, observability, security, troubleshooting, and operational support. The role requires full-stack development with React or Vue.js, JavaScript or TypeScript, backend services, SQL, cloud platforms, and DevOps practices.

Architect and develop security platform services supporting secrets and key management, identity and access management, onchain security, policy and risk management, and vulnerability management. Define technical roadmaps, build scalable cloud systems using Go or Java, manage project deliverables, mentor engineers, review designs, and maintain backend systems. The role requires solving complex technical problems, ensuring security and operational integrity, and collaborating with engineering, product, design, and leadership teams.

Design, develop, and maintain cloud infrastructure and automation using Terraform and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab). Build reusable platform components, integrate security and testing into deployments, use AI tools to improve code and IaC productivity, support monitoring, troubleshooting, and incident response, and participate in on-call rotation and continuous improvement.

Perform validation and verification of distributed control system software. Create test plans, test cases, and test environments; execute tests; debug and document issues; report defects and status; collaborate with engineering and product teams; maintain test hardware and automation.