Top Engineering Jobs in Hyderabad

Develop frontend enhancements and comprehensive automated test coverage for a production SaaS application integrated with Coupa and enterprise systems. Build React and TypeScript components, component and integration tests, end-to-end regression suites, contract tests, and data-mapping workflow tests. Validate RBAC, accessibility, API integrations, and customer-specific configurations. Collaborate through Git, code reviews, CI pipelines, defect documentation, and compliance evidence while using AI-assisted development tools.

Develop and deploy end-to-end integrations in Boomi AtomSphere using REST APIs, XML and JSON payloads, external web services, and databases. Responsibilities include integration development, API testing with Postman, troubleshooting, and deployment. Experience integrating ERP, procurement, or finance systems is preferred. The role is remote and available full-time or part-time.

Design, develop, configure, and support MuleSoft-based APIs and integrations using RAML, REST, and SOAP. Build API portals, proxies, analytics, unit tests, document designs, deliver integration projects, and create POCs within an Agile team.

Develop and extend Salesforce solutions (Apex, Visualforce, Aura, LWC), implement Experience Cloud and Shield, integrate AppExchange products and external systems, use Salesforce data tools, and collaborate with stakeholders to gather requirements and deliver designs.

Validate end-to-end product data migration into Akeneo PIM from ERP and Cloudinary, verify Akeneo configuration and data governance, inspect exported XML for SFCC schema compliance, monitor SFCC import jobs, and triage defects between source data and transformation bugs.

Design, develop, support, and integrate Salesforce solutions (Apex, LWC, Experience Cloud/B2B Commerce). Build modular, tested code; integrate with ERP/OMS and common eCommerce services; document configuration and collaborate with teams using Jira, Slack, and source control.

Own and improve the security posture of Kestra’s platform, infrastructure, and open-source ecosystem. Responsibilities include penetration testing, threat modeling, vulnerability management, remediation, cloud and Kubernetes hardening, security automation in CI/CD, code reviews, supply-chain risk assessment, incident response, and continuous monitoring.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Develop backend blockchain functionality for Cardax DEX on the Cardano blockchain. Write and maintain smart contracts in Plutarch and Haskell that define the constraints and conditions for decentralized token exchange without a central entity.

Manage and support enterprise Windows Server infrastructure, including Active Directory, DNS, DHCP, Group Policy, patching, virtualization, security hardening, failover clustering, monitoring, backup and disaster recovery. Troubleshoot system, authentication, networking, performance, and application issues; automate administration with PowerShell; document procedures; and participate in ITSM processes and 24x7 on-call support.

Manage and support Azure Stack HCI hybrid cloud infrastructure, including virtual machines, storage, networking, monitoring, troubleshooting, security, compliance, backup, and disaster recovery. Document configurations and incidents, respond to outages, develop security procedures, and provide technical consultation across IT and business teams. The role requires expertise in Azure Stack HCI, Windows Server, Hyper-V, Storage Spaces Direct, virtualization, networking, and HCI architecture, along with strong communication and problem-solving skills.

Develop, test, deploy, and support enterprise integration solutions using MuleSoft Anypoint Platform and Mule 4.x. Build System, Process, and Experience APIs; create REST/SOAP integrations; transform data with DataWeave; implement security, logging, monitoring, and error handling; write MUnit tests; troubleshoot production issues; and support CI/CD collaboration with technical and business teams.

Develop and enhance ServiceNow CMDB, ITOM, and ITSM solutions with AI-driven automation, AIOps, GenAI, intelligent incident routing, and predictive insights. Build workflows, integrations, applications, and automation using JavaScript, Glide scripting, REST APIs, Flow Designer, Business Rules, and Script Includes. Configure Discovery and Event Management, translate business requirements into scalable solutions, collaborate with stakeholders, and optimize existing ServiceNow applications while following security, governance, performance, and scalability standards.

Develop Windows-based automotive diagnostic applications using C#/.NET, WPF or WinForms, UDS, ISO-TP, CAN/CAN FD, and MVVM. Responsibilities include ECU diagnostics, firmware flashing, CAN hardware integration, UDS service implementation, checksum and CRC verification, and robust retry, timeout, and recovery handling. The role requires expertise in multithreaded software development, automotive communication protocols, and firmware formats.

Manage and support Azure Stack HCI, Hyper-V, S2D, and Microsoft Failover Cluster environments. Responsibilities include installation, configuration, VM management, troubleshooting, Windows Server administration, OS and firmware upgrades, patching, performance tuning, log and dump-file analysis, root-cause analysis, and production support. The engineer will resolve complex incidents, communicate with customers, and collaborate with cross-functional teams in an office-based, shift-oriented environment.

Develop diagnostic desktop software for automotive ECU systems using C# and .NET. Build WPF or WinForms applications with MVVM, asynchronous programming, and multithreading. Implement and support UDS and ECU flashing functionality, integrating CAN, CAN FD, and ISO-TP communications through hardware APIs such as Vector XL, PCAN-Basic, Kvaser CANlib, Vehicle Spy, or NI-XNET.

Build scalable enterprise applications using Java and Vue3. Develop RESTful APIs and maintainable frontend and backend code with Spring Boot, TypeScript, HTML5, CSS3, and MySQL. Apply Spring Security, JPA, JWT, design patterns, and enterprise architecture principles. Collaborate within Agile Scrum processes, follow SDLC practices, and deliver clean, testable software while solving technical problems effectively.

Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Implements enterprise cryptographic strategy and post-quantum readiness through certificate automation, DigiCert self-service, PKI integrations, and cryptographic asset inventories. Builds certificate lifecycle workflows across cloud, CI/CD, infrastructure, and application environments; establishes CBOMs; remediates certificate and cryptographic risks; develops runbooks and dashboards; and supports crypto-agility, PQC migration planning, and technical adoption across global teams.

Customer-facing technical role deploying AI-enabled solutions into enterprise environments: prototype, integrate, configure, and deliver AI-native workflows, ETL pipelines, dashboards, and tooling to improve ESG reporting, automation, and operational efficiency.