Top Backend Jobs in Pune

Lead Java backend modernization and Kubernetes migration initiatives. Design and develop resilient microservices, REST APIs, integrations, and deployment strategies. Provide technical leadership, conduct design and code reviews, oversee CI/CD and containerized deployments, coordinate regional releases, optimize performance, manage observability, and troubleshoot production issues while ensuring secure coding, testing, and engineering standards.

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.

Develops, tests, integrates, deploys, and maintains backend software components and infrastructure configurations. Provides Level 3 technical support, resolves production incidents and defects, performs root cause analysis, and contributes to architecture, quality assurance, release management, and continuous improvements in scalability, reliability, availability, and performance. Collaborates across the software development lifecycle and supports technical documentation and knowledge transfer.

Design, build, and maintain scalable Go-based backend services, APIs, and microservices. Lead architectural decisions, system design, reliability, observability, and production ownership for distributed systems. Collaborate with product, design, and frontend teams, deliver projects from inception to launch, and mentor junior engineers. Participate in on-call rotations and improve scalability, technical debt, and service reliability across cloud environments.

Provides technical leadership across backend teams, architecting high-throughput distributed systems with Java and Spring Boot. Leads cross-team initiatives, mentors engineers, and drives best practices in APIs, testing, security, observability, and healthcare data privacy. Builds Redis- and Kafka-based systems, investigates production issues, and integrates AI capabilities including LLMs, RAG, agentic workflows, and MCP. Requires extensive experience with cloud platforms, containers, databases, CI/CD, and scalable event-driven architectures.

Design, build, and operate scalable backend, search, or data engineering systems for an e-commerce personalization platform. Responsibilities include developing high-throughput services, improving search relevance, optimizing analytical database queries, designing distributed systems and data pipelines, maintaining reliability and observability, driving architecture and engineering standards, reviewing code, and mentoring engineers and interns. The role partners with technical leadership on roadmap planning and delivery.

Build, test, operate, and maintain scalable backend services, APIs, and microservices. Collaborate with product managers, architects, data engineers, and cross-functional teams to deliver secure cloud-native solutions. Develop integrations, work with databases, caching, messaging, and distributed systems, and troubleshoot production issues. Contribute to monitoring, observability, performance optimization, code reviews, CI/CD, automation, Agile delivery, and continuous engineering improvement.

Design, build, and operate scalable backend systems, APIs, microservices, and distributed services. Lead technical implementations, improve performance, reliability, security, observability, and operational excellence, and collaborate with product, architecture, data, and engineering teams. Contribute to cloud-native and event-driven architectures, production support, incident management, technical reviews, automation, and continuous improvement. Mentor engineers through code reviews and technical guidance while delivering secure, high-performing business and consumer-facing applications.

Design, develop, and operate scalable backend APIs, microservices, and distributed systems. Build cloud-native, event-driven, data-intensive applications using databases, caching, messaging, search, and observability technologies. Lead technical design, improve performance and reliability, participate in architecture reviews, support production incidents, mentor engineers, and collaborate with product, architecture, data, and engineering teams.

Design, develop, and maintain backend services, REST APIs, microservices, middleware, and enterprise integrations. Build secure, scalable, event-driven solutions connecting applications, third-party platforms, and cloud services. Troubleshoot performance and interoperability issues, implement authentication and authorization, document APIs, participate in code reviews, and support CI/CD and automated testing. Collaborate with architects, product owners, and cross-functional teams to define integration requirements.

Develop and maintain scalable backend web applications using Python and Django. Design APIs, middleware, database schemas, and queries; troubleshoot performance issues; write maintainable code; and collaborate with product, design, frontend, and DevOps teams. The role also supports cloud deployment and may grow into full-stack development.

Provides technical leadership for high-throughput backend systems built with Java and Spring Boot. Owns distributed-system architecture, Redis and Kafka integrations, cloud infrastructure, observability, production reliability, and cross-team technical initiatives. Leads AI integration including LLM features, agentic workflows, RAG, MCP, and AI-assisted development. Mentors engineers, establishes engineering standards, investigates complex incidents, and partners on technical strategy.

Build and own backend systems for the go-to-market team, including data pipelines, CRM integrations, internal services, signal automation, lead scoring, and AI agents. Design reliable data models and production workflows using Python and SQL, while managing deployment, monitoring, error handling, and maintenance. Collaborate closely with Sales, GTM leadership, and Engineering to deliver systems that reduce manual work and improve pipeline generation.

Build scalable backend services, APIs, workflow orchestration, and AI agent infrastructure for enterprise procurement, financial, and operational workflows. Responsibilities include distributed systems design, ERP and payment integrations, agent runtimes, multi-agent coordination, observability, evaluation frameworks, testing, security, compliance, and performance optimization. The role requires reliable systems handling sensitive data, real money, and billions of transactions across global customers.

Build and own scalable backend features for an Endpoint Security product serving millions of endpoints. Responsibilities include system design, coding, testing, deployment, monitoring, production troubleshooting, and collaboration across teams. The role requires strong backend engineering, microservices, distributed systems, cloud, and architectural expertise, with Golang and cybersecurity experience advantageous.

Build and operate Python backend services, recommendation APIs, CI/CD workflows, and Google Cloud infrastructure. Manage Terraform provisioning across Cloud Run, GKE, Cloud SQL, IAM, and networking. Own observability, incident response, security, cost awareness, compliance, architecture, documentation, and platform simplification. Collaborate across engineering, data, security, and platform teams while supporting reliable production deployments.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.

Design, build, and maintain scalable Go-based backend services and RESTful APIs. Drive technical architecture, system reliability, observability, and long-term scalability while collaborating with product, design, and frontend teams. Participate in system design, project delivery, production on-call support, and engineering strategy. Mentor junior engineers and contribute to microservices, distributed systems, cloud deployments, and continuous improvement of healthcare technology platforms.

Develop SAP backend solutions across S/4HANA and SAP BTP environments. Responsibilities include RICEF development, ABAP on HANA, CDS views, AMDP, OData, RAP, integrations using RFCs and BAPIs, debugging, performance optimization, and clean-core, upgrade-safe extensions. Fiori and UI5 knowledge supports OData and user-interface issue diagnosis.

Develop and maintain scalable backend APIs and services, manage AWS infrastructure, automate CI/CD deployments, design databases, implement security and monitoring, and collaborate with frontend, product, and DevOps teams. The role involves Node.js and Python development, RESTful APIs, WebSockets, Docker, Kubernetes, MongoDB, PostgreSQL, and deployment tools such as ArgoCD and Jenkins.

Develop and maintain scalable Python backend services using FastAPI, RESTful APIs, WebSockets, MongoDB, AWS, and Docker. Build real-time features, deploy cloud applications, support CI/CD pipelines, integrate Studio APIs, and collaborate with frontend, product, and AI teams. Ensure application performance, security, scalability, and reliable system architecture.

Leads high-impact backend and financial operations projects involving payments, transactions, middleware, GraphQL schemas, APIs, and data models. Provides staff-level technical leadership, drives architectural decisions, partners cross-functionally with Product and Design, and improves engineering standards such as testing, code review, documentation, and SDLC practices. Works hands-on across project delivery while shaping company-wide engineering culture and technical direction.

Develop and deploy Java and Scala microservices for supply-chain finance, including invoice processing, settlement, funder allocation, and discounting. Build Spark batch and streaming jobs, Kafka event pipelines, and integrations with banks and ERP systems. Create Jasper Reports, maintain Kubernetes deployments, troubleshoot production systems using Elasticsearch and observability tools, and participate in Agile development, code reviews, system design, and automated testing.