Top Python Jobs in Hyderabad

Deploy, configure, and maintain middleware components on Linux and in AWS. Build automation for deployments, integrate middleware into CI/CD, monitor and tune performance, troubleshoot incidents, manage lifecycle tasks (patching, upgrades, migrations), create runbooks, and collaborate with application teams. Participate in on-call and ensure security/compliance.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Design and execute test strategies for web applications and APIs, manage defects, and contribute to QA process improvements.

Lead and manage a distributed Oracle DBA engineering team, own production operations and major incident response, architect and migrate Oracle databases to AWS RDS, optimize performance and security, implement DR and backup strategies, automate operations with scripting and CI/CD, and support Tier-0/Tier-1 SLAs for critical financial applications.

The Staff Back-end Engineer will develop scalable systems and lead architectural design while collaborating cross-regionally to improve e-commerce solutions.

The Staff Back-end Engineer will design high-quality systems, drive robust product growth, and collaborate on scalable solutions while mentoring engineering teams.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Develop HAL and peripheral device drivers (I2C, SPI, UART, USB, etc.) for MCX/Crossover RT/i.MX devices in bare-metal, ROM and RTOS environments; verify and debug on pre-silicon (RTL/Emulation), support customers, triage issues, review PRs, and maintain high-quality, secure firmware.

Lead development of HAL and peripheral drivers (I2C, SPI, UART, USB, etc.) for MCX/Crossover RT/i.MX devices in bare-metal, ROM and RTOS environments. Verify ROM and software on pre-silicon RTL/emulation, triage issues, review PRs, support customers, and harden code to meet security and safety standards.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

Lead and mentor a team of software engineers while designing, developing, and maintaining business-critical internal applications, ensuring stability and performance.

Serve as the primary technical liaison for clients, troubleshoot and resolve complex incidents, develop scripts and SQL for ETL automation, manage release rollouts, and respond to high-tier support tickets. Coordinate escalations, perform root cause analysis, and communicate technical status to stakeholders.

The Full Stack Engineer will develop and maintain a SaaS platform, focusing on both front-end and backend systems, collaborating with cross-functional teams, and enhancing platform performance and security.

Serve as primary technical liaison for clients, troubleshoot and resolve complex incidents, develop/maintain SQL-driven ETL and automation scripts, interact with web APIs, coordinate releases, and handle high-tier support tickets. Ensure smooth tool adoption, perform root-cause analysis, and communicate technical updates to both technical and non-technical stakeholders.

Lead EDI and B2B integration design and delivery: create best practices, translate client blueprints into project tasks, mentor engineers, maintain customer solutions, drive quality, perform impact analysis, implement mappings (ANSI X12/EDIFACT/IDoc) and integrations, and manage testing, validation, and documentation.

Lead test engineering teams to design and execute system integration and automated tests across UI, services, and APIs. Develop and maintain reusable automation frameworks, test plans, and procedures; partner with product, development, and DevOps; track execution, risks, and environment/data dependencies; ensure process compliance and mentor junior engineers.

Lead test engineering for enterprise applications: design, develop, and maintain automated functional and non-functional tests (UI, API, database, performance); drive test automation strategy, CI/CD adoption, environment/data management, risk controls, and mentor junior engineers while coordinating with product, development, and DevOps teams.

The Senior Full Stack Engineer will design, develop, and test new features for an analytics platform. Responsibilities include collaborating across teams on both server-side and front-end development, utilizing technologies like Python, Java, and Angular, and integrating with APIs.

The QA Engineer will design test strategies and implement automated tests for high-performance analytics products, ensuring quality throughout the product lifecycle.

The Senior Site Reliability Engineer will manage production systems focusing on reliability and performance, build AWS infrastructure, and automate operations using Python and Terraform.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.