Top Engineering Jobs in Hyderabad

Design, configure, and optimize Oracle ICM Cloud solutions including compensation plans, crediting rules, rollups, integrations with Oracle Cloud, testing, performance tuning, production support, and documentation/training while leading technical delivery.

Lead design, development, integration, and deployment of Salesforce Experience Cloud solutions. Implement Apex, LWC/Aura, declarative automations, and REST/SOAP integrations. Mentor junior developers, perform code reviews, manage data migrations, and ensure adherence to best practices and security.

Design, develop, and support enterprise integrations using Oracle middleware (SOA Suite, OSB, BPEL). Build and maintain service mediation, transformations, adapters, security policies, and workflows. Troubleshoot production issues, optimize performance, and collaborate on integration architecture and monitoring.

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.

Leads quality engineering for complex software projects by defining risk-based test strategies, building scalable Playwright automation, validating APIs and databases, integrating CI/CD quality gates, and assessing release readiness. Performs manual, exploratory, integration, performance, resilience, and distributed-system testing. Drives root-cause analysis, quality metrics, defect reduction, AI-enabled feature validation, and continuous improvement while mentoring engineers and influencing architecture and release decisions.

Supports power system studies and design for utility-scale renewable energy projects, including grounding, short-circuit, load-flow, arc-flash, protective coordination, ampacity, harmonic, and power-quality analyses. Builds system models, sizes medium-voltage collection cables, prepares technical reports, automates calculations, and supports interconnection studies. Works under senior engineer guidance while following IEEE, NESC, NEC, utility, quality, and safety standards.

Design, develop, deploy, and support scalable automation solutions for engineering and business workflows. Build REST API integrations, Microsoft 365 automations, cloud-native services, and AI-powered document processing using RAG, vector databases, LLM APIs, and prompt engineering. Collaborate with software developers, AI leaders, engineers, and business stakeholders to translate requirements into reliable solutions. Responsibilities include testing, deployment, monitoring, documentation, user training, production support, and identifying opportunities to improve operational efficiency.

Investigate escalated production incidents (DB anomalies, failed payments, data migrations), write post-mortems and runbooks, and build AI-powered automation (LLM diagnostics, agents) plus developer tooling. Maintain CI/CD, GCP infrastructure, container deployments, observability, and partner on ERP and payment provider integrations.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Develop and refine voice-optimized prompts and agentic LLM workflows for finance use cases. Build RAG grounding, integrate LLMs with voice/telephony (LiveKit), implement feedback loops, A/B testing, fine-tune models, and collaborate on production ML services and OCR/chatbot components.

Build and automate infrastructure, CI/CD, and developer tools across multi-cloud (GCP and AWS). Implement containerization (Kubernetes, Docker/DIND), Terraform automation, logging/monitoring, IAM, and support teams debugging DevOps issues for scalable, secure microservices.

Design, build, and deploy scalable ML models and pipelines from research to production. Own feature engineering, model tuning, real-time prediction, MLOps automation, monitoring, and lifecycle management to solve visibility, forecasting, and freight audit problems.

Design and implement distributed data systems for Apache Hudi and Onehouse’s managed data lakehouse. Responsibilities include developing concurrency controls, transactional capabilities, indexing schemes, metadata and data-access systems, and optimization algorithms for Kubernetes-based distributed processing. The role involves analyzing complex data, prototyping performance improvements, deploying solutions safely to production, and serving as a subject matter expert in databases, query engines, storage, and stream processing.

Build and productionize distributed data infrastructure for Onehouse’s managed lakehouse platform. Responsibilities include developing Apache Hudi transactional capabilities, concurrency control, indexing, metadata and data-access systems, and optimization algorithms for distributed processing on Kubernetes. The role involves analyzing complex data, prototyping performance improvements, collaborating with engineers, and safely deploying solutions. Candidates should bring strong object-oriented programming, distributed systems, algorithm, and relational database expertise.

Own complex enterprise telephony integrations and provide advanced post-onboarding technical support. Troubleshoot call failures using PCAPs, SIP traces, and carrier logs; improve call quality and reliability; support platforms including Twilio, Telnyx, Avaya, Genesys, and Amazon Connect; communicate technical issues to premium customers; and translate customer feedback into product improvements. The role also involves scripting troubleshooting automations and collaborating with Pacific Time customers and teams.

Develop and maintain Informatica MDM SaaS solutions using CAI and CDI. Implement architectures designed by technical leads, orchestrate and optimize APIs, write and tune SQL queries, collaborate with clients and internal teams, and independently deliver scalable, maintainable solutions with minimal supervision.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Design, implement, and support enterprise IAM/CIAM solutions including SSO, MFA, federation, and RBAC. Integrate applications with identity providers, administer IAM platforms (Ping, SiteMinder, Azure AD B2C, Okta), develop secure Java/Spring Boot integrations, remediate vulnerabilities, and support cloud deployments (AWS, Docker, Kubernetes) and CI/CD automation.

Lead design and development of the full web stack, solve architecture, scalability and performance issues, implement features, optimize databases and systems, oversee code quality and testing, mentor and manage a 4-7 developer team, coordinate releases with product leadership, and ensure high availability, security and maintainable architecture.

Maintain and improve multiple live client websites, primarily in WordPress and other CMS platforms. Responsibilities include troubleshooting bugs, updating themes and plugins, managing staging environments and backups, resolving performance and responsiveness issues, implementing technical SEO and schema improvements, supporting integrations, and documenting solutions. The role requires efficient task management, independent prioritization, strong attention to detail, and communication with internal teams while working remotely across U.S. time-zone overlap.

Develop and maintain responsive, high-performance web applications using Svelte, JavaScript, and TypeScript. Build reusable UI components, integrate REST and GraphQL APIs, implement state management, optimize cross-browser performance, troubleshoot issues, participate in code reviews, write testable code, and collaborate with designers, backend developers, QA engineers, and stakeholders.

Build and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Design payment, billing, invoicing, subscription, refund, and reconciliation workflows; develop secure APIs and transactional data models; improve repositories and Git workflows; support deployments, monitoring, debugging, refactoring, documentation, and architectural discussions. Collaborate with distributed product, design, QA, and business teams while using AI-powered development tools to accelerate delivery and resolve issues.

Develop and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Build payment, billing, invoicing, subscription, refund, and reconciliation workflows with secure APIs and transactional data models. Manage Git branching, code quality, documentation, deployments, monitoring, and issue resolution. Collaborate with product, design, QA, and business teams in a remote Agile environment while using AI development tools to accelerate coding, debugging, refactoring, and testing.

Design, develop, customize, and maintain ServiceNow platform and applications: workflows, business rules, UI components, scripting, integrations, upgrades, reporting, and data loads. Triage defects, enforce SDLC and release management, train end users/technicians, and provide daily in-person support and architecture review.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.