Top Software Engineer Jobs in Hyderabad

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Design, build, and maintain secure, scalable blockchain infrastructure powering wallet operations, deposits/withdrawals, transaction signing, node upgrades, custody integrations, audits, compliance, and automated funds sweeping.

Design, develop, and maintain scalable backend services and REST APIs using Java and Spring Boot. Own end-to-end implementations, troubleshoot production issues, optimize databases and performance, enforce security and testing best practices, collaborate with cross-functional teams, and drive system reliability and scalability.

Design, develop, and optimize SQL Server databases and ETL processes; troubleshoot and tune queries; ensure high availability, backups, deployments, and enforce database standards and documentation while collaborating with application and infrastructure teams.

Optimize and tune complex T-SQL queries, troubleshoot blocking/deadlocks and IO bottlenecks, analyze execution plans, implement indexing/partitioning, maintain HA/DR (Always On, clustering, replication), monitor database health and automation, and collaborate with developers on schema and query design.

The SDET/Senior SDET will develop and refine quality strategies, mentor team members, and enhance automation frameworks using Python and Javascript.

The Senior Software Consultant will lead full-stack technical teams, implement agile development and CI/CD practices, and ensure delivery of high-quality software solutions.

Develop and maintain next-generation energy trading and risk management software using the Microsoft stack. Write tested C# code, follow TDD, CI/CD and Git workflows, perform peer reviews, reduce technical debt, and contribute from design through implementation. Support maintenance, documentation, and agile user-story-based development while mentoring team members.

Design, develop, test, and maintain scalable cloud-native applications and APIs using .NET, Node.js, and Azure. Build responsive UIs with Angular/React, work with SQL and NoSQL databases, implement secure auth, create CI/CD pipelines, participate in architecture decisions, mentor juniors, and troubleshoot production issues within Agile teams.

The role involves owning AI-powered product features, designing LLM systems, making architecture decisions, and connecting engineering work to business outcomes, with a focus on independent ownership and domain understanding.

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

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The Senior Software Engineer will build and manage Postgres capabilities within ClickHouse, focusing on backend services, automation, API development, and collaboration with various teams to enhance operational excellence.

Design, develop, and maintain .NET Core/Azure cloud-native applications; implement CI/CD pipelines; write reusable code with unit tests; perform code reviews and mentor engineers; monitor and troubleshoot production in Azure; modernize legacy systems; collaborate with product, QA, and stakeholders; use front-end frameworks (Angular/React) and AI tools like GitHub Copilot.

Build and optimize backend services for a data science platform; work with product owners and architects to design scalable, secure microservices; collaborate with automation teams; produce high-quality code, recommend system solutions, and follow emerging technologies.

Design, build, and optimize scalable backend services and frontend applications to support product experiences for millions of users. Collaborate across teams and manage the full development lifecycle.

Lead full‑stack development of the Horizon platform: design, implement, and operate services across frontend, backend, infra, and data. Drive solutions, ship production code, improve reliability and developer productivity, and expand AI/agent capabilities while collaborating with product and cross‑functional teams.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Design, build, and maintain test automation frameworks and scripts. Execute and analyze automated tests, perform regression testing, document issues, and collaborate with developers and cross-functional teams to improve testability and quality in an Agile environment.

Design, build, and operate production ETL/ELT pipelines using Python and Pandas; author performant SQL for PostgreSQL and Trino; architect AWS data solutions (S3, Glue, Athena); implement Terraform-based IaC and automated CI/CD; embed security best practices; collaborate with product and analytics teams to deliver dimensional models, curated datasets, and Superset dashboards while working within Agile delivery.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Lead backend architecture and engineering: design scalable APIs and services, mentor engineers, write complex code, enforce best practices for databases, testing, observability, and integrate ML/LLM workloads.

Design, develop, and maintain scalable backend services; implement secure APIs; optimize system performance and reliability; collaborate with cross-functional teams.

Develop and support Pega applications: implement integrations and reporting, follow iterative/Agile methods, work on software development projects, and maintain CSSA certification requirements. Participate in SDLC and collaborate with stakeholders.