Top Python Jobs in Hyderabad

The Senior Software Architect will lead AI/ML implementations, enhance customer solutions, design architectures, develop & validate AI systems, and ensure quality testing across multiple enterprise products.

The Senior Observability Engineer will build scalable observability platforms and collaborate on integrating telemetry, automation frameworks, and CI/CD practices to enhance developer experience and system reliability.

Design and execute test scripts, develop automation frameworks, perform various testing types and collaborate in Agile teams to ensure product quality.

This role involves leading the design and development of automation test frameworks, defining quality strategy, mentoring QA engineers, and establishing data quality governance in an Agile environment.

Lead SRE Engineer responsible for the reliability, performance, and security of production infrastructure and .NET applications, focusing on automation and real-time data insights.

The Software Engineer will develop automated test frameworks, integrate tests into CI/CD pipelines, and ensure quality across the product lifecycle while collaborating with an agile team.

The Software Engineer III is responsible for designing and implementing scalable, high-performance backend systems, mentoring junior engineers, and integrating AI capabilities into products. They collaborate with cross-functional teams to ensure reliable solutions and continuous improvement in software quality.

As a Software Engineering Lead Analyst, you will manage CI/CD processes, cloud infrastructure, and container orchestration while ensuring automated, reliable healthcare tech delivery. Responsibilities include mentoring, performance tuning, and enforcing security best practices in DevOps workflows.

Lead software engineering work on AWS to migrate and re-engineer data and applications, build data transformation and analytics solutions, implement robust CI/CD and testing, perform code reviews, and deliver scalable reporting and real-time analytic capabilities for healthcare datasets.

The Infrastructure Engineering Senior Analyst will manage IBM Optim data archival processes, automate with Python, and mentor team members while ensuring database performance and compliance with data retention policies.

The Senior HPCLM Optimization Engineer will enhance HPC infrastructure, optimize job scheduling, analyze workloads, drive performance improvements, and collaborate cross-functionally to resolve issues and improve efficiency.

The Cloud/Infrastructure Engineer will design, implement, and maintain cloud and on-premise infrastructure, ensuring system stability and optimization while collaborating with cross-functional teams on observability solutions and incident response.

Design and execute test plans for firmware and hybrid hardware interactions, manage defects, and continuously improve testing processes.

The Staff/Senior Staff QA Engineer will develop automation frameworks, validate firmware, drive architectural decisions, and collaborate with teams to ensure software quality.

The Staff Digital Engineer will design, verify, and optimize digital circuits for low-power mixed-signal applications, support verification plans and testing, interface with cross-functional teams, and document technical processes.

This role involves designing digital circuits, optimizing for low-power, performing logic synthesis, supporting verification plans, and collaborating with cross-functional teams.

Lead customer conversations to inform product design. Create technical collateral for product launches. Engage with customers for product definition and support sales teams with training. Attend industry events for promotion.

The Staff Verification Design Engineer is responsible for block and chip-level verification, creating verification strategies, and supporting post-silicon debug and validation efforts.

The Staff Verification Design Engineer performs RTL and AMS verification, develops tests, improves verification processes, and collaborates closely with the design team.

Design, build, and maintain secure, scalable platform infrastructure and CI/CD pipelines. Deploy and manage cloud and container platforms, implement observability and DevSecOps practices, provide L2/L3 operational support, perform RCA, and mentor engineers to drive platform reliability, automation, and modernization initiatives.

Build and maintain scalable web applications using React.js and Python. Design responsive front ends, implement back-end services (Django/Flask/FastAPI), develop and consume RESTful APIs, work with microservices and MySQL, optimize performance and security, participate in code reviews, and collaborate with product, design, and QA using Git workflows.

As a Site Reliability Engineer II, you'll monitor system health, build and manage software infrastructure, improve reliability, optimize performance, and collaborate with development teams to enhance service quality.

Design, build, and maintain scalable, reliable cloud-native infrastructure; automate operations with IaC and scripts; monitor, respond to incidents, perform capacity planning and performance tuning; implement disaster recovery and security best practices; mentor team members and drive continuous reliability improvements.

Provide expert-level design, implementation, deployment, and production support for enterprise cloud platforms. Lead major cloud releases, troubleshoot complex issues, enforce security and disaster recovery, automate deployments, mentor junior staff, and maintain documentation aligning cloud solutions with business needs.

Own incident resolution and root cause analysis for cloud-deployed applications. Monitor performance, troubleshoot issues, script automation with Python/SQL, support stakeholders, maintain documentation, and improve support processes with security and cost-awareness.