Top Engineering Jobs in Hyderabad

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.

Build and ship scalable full-stack features, primarily backend services, integrations, machine learning APIs, complex workflows, and growth initiatives. Architect systems processing hundreds of millions of documents, optimize response times, and develop distributed services using Golang, Python, React, databases, cloud platforms, Kubernetes, and DevOps tooling.

Build production-grade AI and machine learning security products using Go services and Python pipelines. Develop LLM-powered analysis, RAG, classification, structured extraction, and agentic AI capabilities; establish evaluation datasets, metrics, regression suites, and drift monitoring. Collaborate with security researchers to translate threats into actionable detections, and deploy cloud-native solutions using Docker, Kubernetes, and major cloud platforms.

Build and maintain a React and TypeScript interface for an agentic security platform. Develop high-performance, data-intensive timelines, graphs, tables, filters, searches, dashboards, and policy management tools. Collaborate with Go backend and design teams through REST and gRPC-web APIs. Own frontend architecture, accessibility, testing, performance, design-system contributions, and AI-assisted development workflows.

Build and operate production Go backend services for AI security products. Responsibilities include API and data model design, event-driven pipelines, cloud integrations, reliability engineering, testing, observability, CI/CD, Python tooling, and multi-tenant systems. Collaborate with AI engineers and security researchers on threat models and enforcement logic, while using AI coding assistants throughout development.

Build Go-based endpoint agents and backend services for AI and LLM security across Windows, macOS, and Linux. Responsibilities include endpoint detection, policy enforcement, fleet management, telemetry ingestion, health monitoring, performance optimization, cross-platform testing, code signing, release engineering, and production readiness. The role requires systems programming, concurrency, networking, distributed-service development, and effective use of AI-assisted coding tools.

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.

Develop and deploy scalable full-stack web applications using Python REST APIs and modern front-end technologies. Responsibilities include building user interfaces with React or Next JS and Tailwind CSS, developing backend services, working with databases, and potentially using background workers, schedulers, containers, and orchestration platforms. The role requires collaboration with the development team, strong problem-solving skills, and attention to detail.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Design and maintain automated tests using Python and Pytest; test REST APIs, databases, data pipelines, and Power BI dashboards. Validate data accuracy and reconciliation across source systems, APIs, databases, and reporting layers. Execute functional, regression, integration, and end-to-end testing, document defects, collaborate with development and data teams, and improve automation coverage and framework efficiency.

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 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.

Research Engineer applying frontier machine learning and reinforcement learning research to production AI capabilities. Responsibilities include model design, training, evaluation, RLHF, multi-objective optimization, LLM post-training, reward modeling, auditing, and translating prototypes into reliable systems. The role also involves customer engagement, technical communication, and shaping research and product strategy.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

Own the organization’s cybersecurity program, including SOC 2 Type 2 compliance, cloud security posture management, vulnerability management, IAM, Google Workspace security, endpoint protection, detection and incident response. Develop policies, automate security workflows with Python, Bash, and Terraform, manage audits and risk assessments, and advise engineering, IT, legal, leadership, and customers on security matters.

Lead technical support for B2B customer deployments, diagnosing issues across ML models, applications, APIs, infrastructure, networking, and deployment environments. Investigate incidents, review logs and configurations, coordinate escalations with FDE, SRE, and Engineering teams, monitor deployment health, document root causes, communicate with customer stakeholders, and develop tools and dashboards to meet support SLOs.

Build and own Agent Warden’s backend services, data pipelines, APIs, frontend dashboards, CLIs, and deployment infrastructure. Develop with Python, FastAPI, NestJS, React, and TypeScript; manage PostgreSQL, Redis, CI/CD, Kubernetes, Helm, AWS, packaging, and releases. Lead testing, performance improvements, production debugging, and collaboration with Applied Research to productionize AI security capabilities using AI-assisted development workflows.

Manage client cybersecurity compliance programs across SOC 2, ISO 27001, and NIST frameworks. Responsibilities include maintaining policies and evidence repositories, identifying and remediating technical risks, coordinating project deliverables, conducting control testing and readiness reviews, communicating directly with clients, and overseeing compliance analysts. The role also contributes to scalable delivery processes, templates, and playbooks in a remote-first startup environment.

Build, customize, maintain, and optimize responsive websites using Wix, WordPress, and Shopify. Convert designs into functional pages, customize themes and plugins, implement integrations and features, troubleshoot issues, and optimize performance, accessibility, usability, mobile responsiveness, and SEO. Manage content, testing, maintenance, and quality assurance while collaborating remotely with designers, marketers, and stakeholders.

Own end-to-end development of modules across Amtech’s AWS-hosted .NET/C# Cloud API and legacy 4D ERP platform. Design RESTful APIs, integrate AWS services, resolve complex business-logic issues, improve testing and reliability, maintain data integrity, participate in Agile ceremonies and code reviews, and mentor junior engineers. The role requires independent technical judgment across modern and legacy enterprise systems, with opportunities to use AI-assisted development tools.