Top Engineering Jobs in Hyderabad

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.

Manages project sites as the primary customer and company representative. Oversees civil, structural, mechanical, and electrical work; testing, commissioning, performance testing, and plant handover. Coordinates contractors, labor, equipment, materials, procurement, schedules, budgets, quality, safety, security, administration, billing, and inventory. Prepares daily, weekly, and monthly work plans, monitors progress, develops corrective actions, supports solar installation documentation and scheduling, and provides administrative support to the project manager.

Build and scale agentic AI workflows on a no-code platform by designing LLM prompts, integrating REST APIs/webhooks, implementing tests, and applying resilient system design patterns to deliver production-grade autonomous agent solutions.

Own the platform powering AI voice agents, including runtime and orchestration, real-time voice infrastructure, enterprise security capabilities, evaluation and observability systems, and production reliability. Build Kubernetes and GitOps infrastructure, CI/CD, incident response, and self-service tooling. Integrate speech and LLM technologies while ensuring low latency, scalability, auditability, data isolation, and measurable agent improvement across regulated enterprise deployments.

Design, develop, maintain, and troubleshoot software integration solutions. Translate business requirements into technical specifications, automate integration tasks using Python and APIs, and work across AWS, GCP, Azure, Docker, and Kubernetes. Advise on intelligent process automation using UiPath and Power Automate, integrate Microsoft technologies such as Active Directory, evaluate third-party tools, and provide technical guidance to business teams.

Own quality for an AI-powered SaaS platform by designing and executing manual and automated tests, including functional, regression, exploratory, API, conversational AI, generative output, and workflow testing. Evaluate LLM responses for accuracy, consistency, safety, edge cases, and bias. Collaborate with engineering and product teams to debug releases, improve automation frameworks, and promote quality practices.

Develop and customize Salesforce applications using Apex and Lightning components. Collaborate with cross-functional teams to translate business requirements into technical solutions, implement best practices, improve system performance, conduct unit testing and troubleshooting, and maintain existing Salesforce applications.

Own reliability for major AWS production domains by defining SLOs, building observability and automation, managing capacity and self-healing, and leading complex incident response. Design Terraform modules and progressive delivery pipelines, operate ECS, EKS, Lambda, and PostgreSQL workloads, and reduce operational toil. Establish security and compliance controls, apply governed AI to operations, mentor SRE engineers, and standardize reliability practices across global teams.

Build AI agents that transform enterprise workflows, integrating with customer tools, data, and business processes. Embed with customers to identify problems, create technical plans, deploy production systems, monitor outcomes, and iterate based on real-world evidence. Own projects from discovery through launch while balancing architecture, reliability, speed, and user experience. Collaborate with Product and Engineering to improve the platform and develop reusable tools and best practices.

Design, build, and operate Databricks-based data and AI platforms using Medallion Architecture, Spark, Delta Lake, and scalable ELT pipelines. Integrate enterprise systems, implement data quality and monitoring, enforce governance and security, manage cloud data lakes, and enable ML/AI workflows with MLflow. Maintain documentation, conduct code reviews, train stakeholders, and report progress against project milestones.

Build and maintain CI/CD pipelines, deploy and scale Kubernetes workloads, manage AWS cloud infrastructure, and automate provisioning with Terraform or OpenTofu. Develop monitoring, alerting, dashboards, and observability workflows using Grafana and related tools. Troubleshoot infrastructure, networking, application, and production issues while improving reliability, scalability, security, and deployment efficiency. Collaborate with developers to enhance deployment workflows and automate repetitive operational tasks.

Develop and maintain Java applications, RESTful services, and Angular frontends using Spring Boot and NgRx. Deploy applications to cloud platforms, practice TDD, manage CI/CD with Jenkins, and work with Oracle and PostgreSQL databases. Participate in agile processes, collaborate with cross-functional teams, mentor engineers, and independently lead technical initiatives and feature delivery.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

Own the frontend architecture of Plane’s local-first, real-time client. Responsibilities include client-side state, synchronization, caching, offline behavior, conflict resolution, performance optimization, dense data views, collaborative editing, design systems, and engineering standards. Partner with product, design, and backend teams to deliver scalable features across work items, boards, and documents.

Develop and maintain Salesforce solutions across Sales Cloud, Service Cloud, and custom applications. Build Apex, Lightning, LWC, integrations, declarative automations, and unit tests while following security and governor-limit best practices. Support deployments through SFDX or CI/CD, troubleshoot production issues, optimize performance, and collaborate with admins, analysts, and stakeholders to deliver reliable solutions.

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

Design, develop, and deploy enterprise data pipelines and data products using AWS and Databricks. Build Medallion Architecture pipelines, write Python, PySpark, and SQL code, optimize data workflows, troubleshoot production issues, and implement CI/CD using Databricks Asset Bundles, GitHub Enterprise, and GitHub Actions. Work hands-on across the full data engineering lifecycle in an Agile/Scrum environment.

Lead end-to-end ML systems: data pipelines, model development (transformer-based detection), sim-to-real synthetic data, multi-sensor fusion, on-device real-time inference (Jetson), MLOps (experiment tracking, versioning), and production deployment and monitoring. Set ML roadmap and hire/lead as the team grows.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, PySpark, Python, and SQL. Transform large datasets, optimize data ingestion and queries, monitor pipeline performance, resolve data quality issues, support data modeling, document engineering standards, and contribute to cloud data infrastructure improvements. The role also involves collaboration with architects and senior engineers and requires familiarity with Azure Synapse, Delta Lake, governance, and security.

Designs, implements, and optimizes AI-powered Amazon Connect contact center solutions. Develops voice and chat experiences using Amazon Lex and generative AI, integrates CRM, IVR, telephony, and enterprise applications, and builds intelligent routing, chatbots, agent assistance, and self-service capabilities using Amazon Bedrock, Amazon Q, Lambda, APIs, and AWS services.

Develop agentic AI and generative AI solutions using Python, FastAPI, LLMs, RAG, AI agents, LangChain, and LangGraph. Build and deploy cloud-based applications on GCP, integrate vector databases, and implement CI/CD pipelines. The role requires strong software engineering experience and hands-on experience with agentic AI and GenAI technologies.

Develop and maintain high-performance backend services in Rust using asynchronous programming, REST APIs, databases, Redis, messaging systems, Docker, Kubernetes, and AWS. Responsibilities include writing tested and maintainable code, participating in code reviews, troubleshooting production issues, optimizing performance, implementing monitoring and error handling, and collaborating with senior developers, QA, DevOps, and product teams.

Design and implement smart contracts and blockchain-based applications, build backend integrations with blockchain networks, participate in architecture and security reviews, improve scalability and reliability, mentor engineers, and collaborate with product and design to ship production-ready Web3 products.

Build and maintain infrastructure and integrations that move CMS, SCADA, and other customer data into cloud platforms. Monitor and resolve connectivity issues, support AWS infrastructure, respond to data support tickets, collaborate with service delivery teams, and improve connectivity processes for scalability and reliability. The role requires Linux command-line expertise, knowledge of data protocols, networking, and IT security, plus flexibility to support global operations outside normal business hours.

Design, develop, and maintain scalable web applications using Node.js. Lead and mentor UI and backend engineers, collaborate with product and design teams, conduct code reviews, troubleshoot complex issues, and optimize application performance. The role also requires applying engineering best practices, working with RESTful APIs and cloud technologies, and staying current with industry trends. Preferred experience includes server-side rendering, Next.js, modern front-end build tools, performance optimization, and testing.