Top Software Engineer Jobs in Pune

Own end-to-end software engineering initiatives from design through production. Develop and improve scalable internal applications, drive cloud and DevOps deployments, and build AI/GenAI solutions using LLMs, RAG, vector databases, and embeddings. Responsibilities include architecture, coding, code reviews, CI/CD, containerization, infrastructure automation, monitoring, observability, technical leadership, mentoring, documentation, and continuous engineering improvement.

Designs and maintains automated test frameworks and suites for functional, integration, load, performance, API, UI, and system testing. Develops test strategies, improves CI/CD automation infrastructure, validates distributed systems, identifies coverage gaps, investigates defects, and enhances software reliability and quality engineering practices in collaboration with engineering and release teams.

Develop and maintain Java Spring Boot microservices, REST APIs, and backend services for enterprise order management and supply chain applications. Design scalable, reliable, secure, and configurable product capabilities; troubleshoot production issues; write tested code; participate in reviews; and collaborate with product, QA, DevOps, and engineering teams. Use AI-assisted development tools responsibly for coding, debugging, testing, documentation, and productivity.

Design, develop, deploy, and maintain scalable distributed systems, real-time platforms, data pipelines, and analytics tools. Build data extraction, transformation, and loading systems using SQL and big data technologies. Work across low-level systems and distributed architectures, collaborate with data science and product teams, and mentor junior engineers.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

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.

Build and own full-stack product features from ambiguous problems through deployment. Partner with Product and Design, make UX decisions, integrate LLM and agent capabilities into trustworthy product experiences, talk with users, instrument releases, and iterate based on usage. The role requires strong product judgment, user empathy, independent execution, and comfort using AI coding tools while collaborating with AI engineers on model behavior.

Design and develop scalable, resilient cloud architecture integrated with on-premises systems. Drive technical direction, identify platform efficiency opportunities, communicate complex architecture, and implement changes that improve reliability and supportability. Own critical software projects through design, implementation, quality assurance, deployment, and monitoring while providing technical leadership to engineers.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

Build and optimize high-performance local AI inference software for NVIDIA RTX and DGX GPUs. Develop inference runtimes and execution stacks, optimize models and data pipelines using quantization, pruning, sparsity, and distillation, and perform system-level debugging and performance analysis. Collaborate with software, research, architecture, and product teams to improve scalability, stability, accuracy, and production readiness across language, vision, speech, and diffusion workloads.

Build, deploy, and operate integrations, data pipelines, automations, internal tools, and AI-enabled workflows connecting business systems. Responsibilities include writing Python, integrating APIs and webhooks, deploying on Google Cloud, monitoring production systems, responding to incidents, evaluating vendors, performing data migrations, and documenting solutions. The role requires end-to-end technical ownership, debugging across system boundaries, testing, and clear communication with business stakeholders.

Build and maintain large-scale automated testing frameworks for endpoint agents and device management workflows across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests; validate OS integrations, security, stability, and recovery scenarios; troubleshoot defects; analyze logs and telemetry; reproduce customer issues; and use AI-assisted tools to expand test coverage and automation quality.

Build and maintain automated testing frameworks for endpoint management agents across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests for device management workflows, OS integrations, recovery scenarios, and security capabilities. Troubleshoot complex defects, analyze logs and telemetry, reproduce customer issues, partner on root-cause analysis, and use AI-assisted development tools to expand test coverage and improve engineering productivity.

Design, develop, and modernize scalable software platforms using Java. Translate business needs into prototypes and production solutions, collaborate with cross-functional teams, lead technical direction, manage delivery roadmaps, and ensure secure, maintainable code through testing and code reviews. The role also involves Kafka-based streaming, AWS cloud deployments, automation testing, stakeholder communication, risk management, and people management of platform engineers.

Develop and maintain production software for a cloud-native distributed SQL database. Responsibilities include designing, coding, testing, and deploying new and existing projects involving query optimization, fault tolerance, server architecture, concurrency, multithreading, LLMs, vector indexes, SIMD, and LLVM code generation. Engineers collaborate across teams, own projects end to end, and contribute throughout the product lifecycle.

Design, develop and maintain high-performance mainframe payment systems using COBOL, DB2, CICS, JCL and TWS. Lead technical solutions, drive automation and quality initiatives, coordinate across teams and present project metrics. Mentor junior engineers and support full lifecycle Agile development.

Develop Windows-based automotive diagnostic applications using C#/.NET, WPF or WinForms, UDS, ISO-TP, CAN/CAN FD, and MVVM. Responsibilities include ECU diagnostics, firmware flashing, CAN hardware integration, UDS service implementation, checksum and CRC verification, and robust retry, timeout, and recovery handling. The role requires expertise in multithreaded software development, automotive communication protocols, and firmware formats.

Develop diagnostic desktop software for automotive ECU systems using C# and .NET. Build WPF or WinForms applications with MVVM, asynchronous programming, and multithreading. Implement and support UDS and ECU flashing functionality, integrating CAN, CAN FD, and ISO-TP communications through hardware APIs such as Vector XL, PCAN-Basic, Kvaser CANlib, Vehicle Spy, or NI-XNET.

Build secure, scalable AWS serverless applications focused on identity, data engineering, APIs, and customer engagement. Develop Python Lambda functions, React frontends, REST and GraphQL APIs, Cognito authentication workflows, and ingestion pipelines. Provision cloud infrastructure with Terraform or CloudFormation, support CI/CD, enforce security and compliance practices, integrate Amazon Connect, and troubleshoot application performance. Collaborate with architecture and DevOps teams in Agile development processes.

Lead full-stack software engineering for enterprise and external integrations supporting a digital asset platform. Develop Java microservices, APIs, smart contracts, and scalable distributed systems while integrating banking, payments, compliance, data, wallet, custody, and transaction-signing platforms. Provide technical leadership, guide architecture, enforce secure coding and testing practices, manage risks and controls, and advise senior stakeholders on strategic technology decisions.

Leads full-stack design, development, debugging, testing, and maintenance of Vertiv’s cloud platform for remote services. Builds Angular and .NET Core solutions, develops reusable components and prototypes, collaborates on architecture and interfaces, estimates work, manages user stories, mitigates risks, and provides technical recommendations. The role requires expertise in web development, databases, REST services, software design patterns, cloud platforms, security principles, and agile collaboration.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Develops Cadence Adams MultiBody Dynamics software, including backend business logic, persistence, UI extensions, modeling objects, modernization, automated testing, build pipelines, debugging, and documentation. Collaborates across product teams in an Agile environment while improving software quality, usability, and cross-product integration. The role requires React, JavaScript, Python scripting, layered software architecture, AI-assisted development, and strong communication skills.

Build and operate a high-performance search platform serving billions of documents and hundreds of queries per second. Responsibilities include scaling distributed systems, migrating legacy architecture with zero downtime, improving monitoring and deployment practices, profiling and optimizing performance, and developing reliable data pipelines and real-time processing systems.