Top Backend Jobs in Hyderabad

Develop scalable backend solutions for fintech products, including APIs, microservices, and database integrations. Responsibilities include designing RESTful services, troubleshooting complex technical issues, optimizing performance, deploying applications on AWS, collaborating with cross-functional teams, and researching emerging technologies. The role requires strong Node.js expertise, cloud deployment experience, containerization knowledge, database optimization skills, and familiarity with software design principles.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

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.

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.

Build and optimize backend systems for real-time and historical data querying. Responsibilities include developing query language runtimes, parsing, semantic analysis, query planning, execution, Kafka-native streaming pipelines, Spring Boot services, and high-performance Java and C++ components. Collaborate on database infrastructure, query optimization, language semantics, type systems, code reviews, and engineering standards.

Design, develop, test, and maintain Java/J2EE backend and frontend features. Build UI components with HTML, JavaScript, and CSS; optimize SQL and relational database interactions; participate in code reviews and unit testing; troubleshoot production issues; collaborate with QA, product, and engineering teams; and lead technical design discussions and documentation.

Design, develop, and maintain scalable backend services, APIs, and distributed systems using Rust and C#. Optimize SQL Server databases, troubleshoot production issues, and improve system performance and stability. Collaborate with product, QA, and frontend teams on end-to-end features. Participate in architecture discussions, code reviews, testing, documentation, CI/CD, deployment automation, monitoring, and technical planning.

Own core backend computation services that transform financial and operational data into correct, reproducible, traceable results. Design configuration-driven component libraries and runtimes, set-based warehouse computations, tenant-level guardrails, feature controls, audit logging, and data lineage. Build isolated, multi-cloud-ready customer-hosted deployments and integrate them with enterprise environments. Work directly with customer engineering and finance teams, establish backend architecture patterns, review designs, mentor engineers, and collaborate with data, AI, and product teams.

Develop and maintain cloud-native backend applications, REST APIs, and AWS serverless solutions using Lambda, API Gateway, CDK, Python, Node.js, Java, and Spring Boot. Responsibilities include infrastructure deployment, AWS service integration, testing, CI/CD, code reviews, troubleshooting, performance optimization, documentation, and agile collaboration with architects, product owners, and cross-functional teams.

Build and maintain scalable backend services using Python and Django. Develop RESTful APIs, optimize database queries (MongoDB/Postgres), improve performance, fix legacy bottlenecks, implement security and deployment considerations, and collaborate with cross-functional teams to deliver reliable production features.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

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.

Own and improve high-scale backend systems and TB-scale data pipelines. Ensure microservice availability, performance, resilience, and reliability. Build deployment, monitoring, and incident-response automation while contributing scalable backend features. Take end-to-end ownership of production systems, debug complex issues, and collaborate with founders and global teams in a high-ambiguity startup environment.

Designs, builds, and maintains scalable Python backend services, secure RESTful and GraphQL APIs, and AWS serverless microservices. Responsibilities include data modeling, database optimization, authentication and authorization, testing, code reviews, CI/CD, production monitoring, troubleshooting, and release processes. The role collaborates with frontend, DevOps, data science, AI, design, and product teams to deliver production-grade analytics and AI applications.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

Develop and maintain backend solutions for Machine Learning infrastructure. Collaborate on large scale software design and project management.

Lead technical direction of backend systems, mentor developers, design scalable architectures, ensure code quality, and align with cross-functional teams.

Design, develop, maintain, and optimize scalable backend services for mobile applications. Deliver features, resolve defects, review code, enforce engineering standards, monitor production reliability, and address performance and security issues. Collaborate with frontend and QA teams in Agile ceremonies, identify delivery risks, and mentor junior and mid-level developers. Provide technical support to the local Backend chapter and promote maintainable microservices solutions.

Build the AI layer for SigNoz: implement agent orchestration, long-running execution, streaming APIs (SSE), and MCP server integrations to expose observability data to LLM agents. Ship production LLM features, design scalable distributed backends in Go and async Python, and drive projects end-to-end in a remote-first environment.