Top Backend Jobs in Hyderabad

The Staff Backend Engineer will lead complex customer issues, improve existing systems, and mentor junior engineers while fostering engineering culture and collaboration.

Leads multiple software engineering and technology transformation areas across Global Customer Platform. Manages senior engineering teams, drives platform modernization and cloud-native delivery, oversees complex projects, and influences executives across a matrixed organization. Responsibilities include system design, testing, operational stability, talent development, stakeholder alignment, governance, and large-scale modernization. Preferred experience includes mainframe workload retirement, automated parity validation, self-service enablement, transformation governance, partner management, and hands-on coding.

Build and maintain low-latency, high-availability backend microservices and migrate legacy systems to modern Identity, Account and Risk APIs. Implement event-driven architectures, ensure data lineage and observability, maintain SLAs/SLOs, participate in incident response, and collaborate globally with product and FinCrime teams to enable secure, real-time transaction decisioning.

Lead an agile engineering team to design, build, and deliver secure, scalable backend systems. Provide technical direction, write and review production code, drive AI-assisted engineering practices, support ML/NLP/LLM and Knowledge Graph solutions, and promote SDLC/ADLC standards, automation, and platform governance across teams.

Develop, maintain, and support full-stack applications; write clean code, participate in code reviews, troubleshoot incidents, and apply DevOps and test automation practices. Collaborate with stakeholders and senior engineers, estimate effort for changes, mentor junior engineers, and continuously improve technical skills and resilience. Follow agile practices and group policies, and apply basic AI concepts where applicable.

Design, develop, and maintain scalable .NET backend services and APIs for Industrial IoT, condition monitoring, and asset management platforms. Own service architecture, databases, cloud integrations, and telemetry layers while translating business and product requirements into secure, reliable solutions. Enable AI-ready applications through Azure AI, AI/ML model, API, and telemetry integrations. Deliver performant, maintainable production software and collaborate across product and engineering teams.

Design, develop, and maintain scalable .NET backend services and APIs for Industrial IoT, condition monitoring, and asset management platforms. Own service architecture, databases, cloud integrations, telemetry pipelines, and secure production solutions. Translate business and product requirements into reliable backend systems, and enable AI-ready applications through Azure AI, machine learning model integrations, and cloud-native architectures supporting predictive insights and automation.

Design, develop, test, and maintain secure, reliable, high-performance backend services and APIs for AI applications. Build retrieval and orchestration services integrating with machine learning systems, optimize distributed systems for scalability and low latency, and implement observability, security, privacy, and fault-tolerance practices. Collaborate with Product, Machine Learning, Infrastructure, Design, and engineering teams while contributing to architecture, technical planning, experimentation, and system reliability improvements.

The role requires experienced QA testing on API, web, and mobile applications, including creating test scripts and managing defects.

Build scalable frontend UIs and reusable TypeScript components, design Python-based backend services and APIs for LLM/agentic workflows, implement secure AWS cloud infrastructure with Terraform and Docker, maintain CI/CD pipelines, and integrate AI tooling while applying testing, security, and agentic SDLC practices.

Design, develop, and scale high-performance Java backend services using Spring Boot, Kafka, Cassandra, and PostgreSQL. Build RESTful APIs, microservices, and event-driven architectures while addressing distributed-system consistency, reliability, scalability, and performance. Collaborate with Product, DevOps, and Frontend teams; participate in architecture and code reviews; troubleshoot production issues; and write tested, maintainable code. Experience with payments or UPI, event sourcing, CQRS, observability tools, security practices, and Agile is advantageous.

Design, build, and operate scalable, highly available backend systems and data pipelines. Drive architecture and roadmaps, collaborate across teams, decompose complex problems, and resolve critical production issues to support large-scale e-commerce traffic.

Design and build scalable backend services in Java and Spring Boot, develop and maintain RESTful APIs, ensure performance and security, integrate cloud services, write high-quality code, and mentor junior engineers while conducting code reviews.

Build, deploy, and maintain cloud-native infrastructure and platform services on Azure. Support Kubernetes-based container workloads, implement DevOps best practices, improve observability with monitoring/logging/alerting, automate operations, ensure security practices, troubleshoot cloud issues, and collaborate with cross-functional teams to scale and operate the platform.

Design, build, and maintain infrastructure and backend platform services on Azure (AKS, networking, storage, identity). Own platform capabilities (compute, orchestration, CI/CD, IaC, secrets, observability), optimize performance for high-volume data, support AuthN/AuthZ/CIAM, participate in architecture reviews, code reviews, and on-call rotations, and collaborate with cross-functional teams.

Lead and scale back-end engineering teams to build scalable, reliable, and extensible systems. Hire and mentor managers and engineers, drive mission-critical projects, improve operational excellence and Agile practices, collaborate with Product and Business to balance growth and profitability, and resolve/prevent system issues.

Designs and leads scalable backend systems, distributed services, and data-processing pipelines for high-volume e-commerce products. Responsibilities include setting architecture and technical roadmaps, solving complex system problems, driving reliability and best practices, collaborating across global engineering teams, handling critical issues, and leading mission-critical projects. The role requires extensive software development experience with Java and Python, AWS cloud expertise, scalable system design, container-based testing, and Java Spring development.

The Staff Back-end Engineer will develop scalable systems and lead architectural design while collaborating cross-regionally to improve e-commerce solutions.

The Staff Back-end Engineer will design high-quality systems, drive robust product growth, and collaborate on scalable solutions while mentoring engineering teams.

Design, build, and operate AEM (Cloud Service) solutions: develop Sling/HTL components, implement dispatcher and caching strategies, model content/JCR structures, enable headless REST APIs, and deliver Java backend services (OSGi, servlets) with logging and automated tests.

Lead a team of software engineers to develop reliable APIs and backend systems for Kensho's AI applications, ensuring technical excellence and team productivity.

Design and develop reliable backend systems and APIs that integrate with ML, ensuring performance and robustness for Kensho's AI products.

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.

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.