Top Backend Jobs in Pune

Own the end-to-end real-time voice and data platforms, including AI agents for live calls, telephony and streaming integrations, call-data pipelines, analytics, dashboards, monitoring, and cloud infrastructure. Build AI workflows, product interfaces, and business automations; optimize latency, cost, reliability, and performance; respond to production issues; and mentor teammates while collaborating with product and domain experts.

Leads the architecture, governance, integration, and delivery of AI-driven solutions across enterprise CRM, ERP, and iPaaS platforms. Designs AI/ML-enabled backend workflows, APIs, event-driven systems, automation pipelines, and production environments. Partners with technical and business stakeholders, ensures scalability, security, and compliance, and communicates architecture decisions. The role requires extensive enterprise architecture and systems integration experience, production AI implementation expertise, and knowledge of platforms such as Salesforce, SAP, MuleSoft, and related technologies.

Develop and maintain backend applications for field team operations. Responsibilities include designing systems and data models, resolving bugs and bottlenecks, writing unit-tested reusable code, integrating internal and external tools, and collaborating with product managers on system design. The role requires Core Java, object-oriented programming, SQL databases, web-service integration, and RESTful APIs, with Git and Spring or Hibernate experience preferred.

Lead backend and data-platform architecture while remaining hands-on with Java production code. Design and operate distributed systems for event ingestion, analytical querying, data processing, and low-latency serving. Work with ClickHouse, BigQuery, Bigtable, Kafka, Redis, GCP, and Dataflow to solve scalability, reliability, performance, and data-correctness challenges. Set technical direction, review designs, mentor engineers, and guide platform convergence across Wingify and AB Tasty.

Lead end-to-end product lifecycle for global Fiat On Ramp, Marketplace and e‑commerce solutions. Define product strategy, run data-driven experiments, partner with engineering, design, compliance, BD and marketing to launch global features, improve conversion and engagement, and apply AI/automation to optimize operations.

Provide technical leadership and hands-on engineering across AI, data, backend, and frontend systems. Drive architecture, remove technical risks, set engineering standards, mentor senior engineers, and influence cross-team technical direction.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Design, build, and own distributed backend microservices supporting data ingestion, ML pipeline orchestration, model serving, and real-time analytics. Develop Kafka streaming solutions, PostgreSQL schemas, REST and gRPC APIs, Redis caching, and service observability. Deploy and debug Kubernetes services, implement security controls, participate in on-call rotations, and improve reliability. The role requires expertise in distributed systems, database optimization, microservice patterns, and production-grade backend engineering using Node.js, Python, or Go.

Build and maintain shared backend platform services, SDKs, API gateway capabilities, service mesh configurations, event bus patterns, AI integrations, and observability systems. Establish API standards, contract testing, documentation, reliability practices, and SLO monitoring. The role also includes incident response, mentoring engineers, code quality ownership, and collaboration across twelve product squads to deliver secure, stable, developer-friendly platform infrastructure.

Develop and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Design, build, and operate high-scale, secure cloud backend systems using AWS serverless patterns. Implement event-driven, real-time data processing and AI-enabled features (LLM integrations, RAG, vector DBs). Ensure API security, authz/authn (RBAC/ABAC), monitoring, scalability, fault tolerance, and disaster recovery while evaluating and integrating emerging technologies.

Lead and mentor an engineering team while defining technical roadmaps, managing hiring and resource allocation, and overseeing project delivery. Build and maintain enterprise applications using Java Spring and React, guide cross-functional requirements, conduct code reviews, troubleshoot performance issues, and provide client-facing technical leadership. The role combines hands-on software engineering with people management and strategic technical oversight.

Design and maintain scalable Java and Spring Boot backend services, REST APIs, microservices, and event-driven systems. Build cloud-native applications using Docker, Kubernetes, and AWS while ensuring reliability, security, observability, and performance. Use AI-assisted development tools for coding, testing, debugging, documentation, and reviews. Participate in architecture discussions, production support, incident response, and on-call rotations. Collaborate across engineering and product teams and mentor other engineers.

Lead cross-functional backend projects, provide technical leadership to product teams, deliver performant and maintainable features, build third-party data integrations, implement automated and manual testing, create reusable libraries and frameworks, and mentor team members to improve engineering practices.

Develop, test, and deploy Java/Scala microservices for supply-chain-finance modules. Build Spark batch/streaming jobs, design Kafka event pipelines, integrate bank/ERP systems via Talend/REST, and produce Jasper reports. Maintain Kubernetes deployments, ensure ≥80% unit-test coverage, troubleshoot via Elasticsearch and Prometheus/Grafana.

Design, build, test, and operate Java/Scala microservices and Spark batch/streaming jobs for invoice processing, funder allocation, settlement and reporting. Implement Kafka event pipelines, integrate bank/ERP connectors, create Jasper reports, maintain Kubernetes manifests, and troubleshoot production using Elasticsearch and Prometheus/Grafana within Agile teams.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Build scalable backend services and APIs for real-time logistics and delivery operations. Develop and ship end-to-end product features, troubleshoot production issues across system layers, optimize databases, caching, performance, reliability, and scalability, and collaborate with product and operations teams to solve real-world problems.