Top Backend Jobs in Pune

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Design, develop, and maintain scalable Java backend applications using Spring Boot, microservices, and REST APIs. Own features through design, development, testing, deployment, and production support. Build secure and resilient services, collaborate with product and engineering teams, participate in code reviews and troubleshooting, and contribute to coding standards and continuous improvement.

Develop and maintain Java backend services and Spring Batch processing systems. Design scalable batch jobs, ETL workflows, scheduling, fault-tolerant processing, REST APIs, and microservices. Integrate databases, APIs, messaging systems, and enterprise platforms while optimizing performance, implementing monitoring and security, reviewing code, documenting solutions, and collaborating with product, architecture, QA, and DevOps teams.

Develop and maintain scalable Java backend applications using Spring Boot, microservices, and REST APIs. Own features through design, development, testing, deployment, and production support. Collaborate with product, architecture, mobile, QA, and DevOps teams; participate in code reviews, troubleshooting, root cause analysis, and technical design discussions. Contribute to secure, resilient, maintainable services, coding standards, engineering best practices, and continuous improvement.

Leads the design and development of scalable Java backend applications using Spring Boot, microservices, and REST APIs. Provides architectural and technical leadership, mentors engineers, drives coding standards, and oversees initiatives from design through production support. Collaborates with product, architecture, QA, DevOps, and engineering teams while resolving complex technical issues and performance bottlenecks. Preferred experience includes payments or fintech, Kafka, databases, cloud platforms, Kubernetes, security, CI/CD, and mobile application backends.

Own the bug and feature queue for internal business tools, prioritizing requests by impact, gathering user feedback, fixing bugs, shipping features with AI coding tools, testing changes, documenting systems, and improving user experience. The role combines product judgment, lightweight technical building, proactive problem-solving, and close collaboration with the COO and CCO.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Develop Java backend components and microservices in a distributed, cloud-native environment. Participate in software design, development, testing, deployment, and CI/CD within an Agile team. Collaborate with global development teams, product owners, architects, and integration engineers while applying best practices and increasing ownership of assigned tasks.

Develop and maintain high-quality software, collaborate cross-functionally to ship features, identify bottlenecks, fix bugs, and evaluate technologies that improve development efficiency. The role requires independent ownership, strong problem-solving and product thinking, effective communication, and a willingness to exchange constructive feedback in a flat, remote organization.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Maintain and enhance scalable backend services for a SaaS platform using Node.js and TypeScript. Responsibilities include API performance optimization, MongoDB and Redis management, asynchronous job workflows, AWS infrastructure monitoring, security implementation, API documentation, testing, CI/CD, and production troubleshooting. The role supports campaign generation, template storage, credit-based billing, and high-traffic APIs.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

The job description provides no substantive responsibilities or qualifications beyond a general reference to digital modernization and an instruction placeholder.

Build and scale resilient backend APIs, libraries, and services for digital asset financial products. Own features from design through deployment and customer integration, document functionality, collaborate across engineering teams, and mentor peers through code reviews and best practices. The role requires backend development expertise, database and API design experience, microservices knowledge, testing, on-call participation, and coordination with global stakeholders.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Design and ship secure, scalable backend services for INR fund flows and retail derivatives trading. Own APIs, order management, margin, risk, liquidation, settlement, market connectivity, reconciliation, and service reliability. Partner with mobile and product teams, lead architecture and code reviews, mentor engineers, and coordinate with global stakeholders.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Designs, develops, and operates scalable backend services, APIs, data integrations, and microservices. Owns domain architecture, database performance, reliability, observability, incident response, security, testing, and roadmap delivery. Leads design reviews, improves engineering standards, mentors backend engineers, and collaborates with product and global teams. The role requires technical leadership, strong system design, cloud infrastructure experience, and production operation of large-scale consumer applications.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.