Top Python Jobs in Hyderabad

Lead the design, administration, automation, and operational support of highly available Kafka platforms across GCP and on-premises Kubernetes environments. Responsibilities include capacity planning, disaster recovery, Kafka Connect integrations, infrastructure automation, monitoring, incident response, upgrades, security, documentation, and 24x7 on-call support. The role also drives platform architecture, reliability improvements, stakeholder recommendations, and AI-enabled operational efficiencies.

Leads mechanical design, development, validation, and lifecycle support for semiconductor manufacturing and test equipment. Responsibilities include mechanical system architecture, CAD modeling, structural and thermal analysis, tolerance studies, prototyping, qualification testing, failure analysis, supplier collaboration, engineering change management, and cross-functional system integration. The role also provides technical leadership, mentors junior engineers, drives continuous improvement, and advances automation, modularity, reliability, and cost reduction initiatives.

The role involves driving verification architecture and methodologies for HBM designs, developing testbenches, and leading verification teams. Candidates should have extensive verification experience and proficiency in advanced methodologies.

Leads technology support teams responsible for application and infrastructure service delivery, pre-production stability, observability, incident resolution, and change management. Builds dashboards using Splunk, Dynatrace, and Grafana; monitors environments; troubleshoots cloud and on-premises systems; and promotes AI-assisted operational workflows with human validation. The role also coordinates stakeholder communications, manages P2 incidents, and improves resiliency, security, and automation practices.

Design, deploy, secure, operate, and optimize enterprise Apache Kafka and Confluent Platform environments. Manage KRaft, brokers, Schema Registry, Kafka Connect, ksqlDB, security, monitoring, capacity, performance, and automation across OpenShift and production infrastructure. Troubleshoot critical messaging issues, support incidents and upgrades, develop operational documentation, improve resilience, and collaborate with engineering, cybersecurity, and business stakeholders. Participate in on-call rotations and risk, compliance, and change-management initiatives.

Lead physical implementation and verification of analog, mixed-signal, and custom digital blocks in advanced CMOS nodes. Own block and full-chip layout, apply AI-assisted and automated flows, perform DRC/LVS/EM/IR and other verification, drive yield-focused optimization, mentor engineers, and collaborate across design, CAD, verification, reliability, and program teams to deliver high-quality layouts on schedule.

Lead CAD engineer supporting memory layout teams: develop and deploy EDA automation, AI-assisted layout flows, debug physical verification issues, improve productivity, mentor juniors, and evaluate new tools to accelerate reliable CMOS layout delivery.

Design, develop, deploy, and maintain scalable Java, Spring Boot, and Python applications. Build cloud-native microservices and event-driven APIs using Kafka, AWS, Google Cloud, Docker, Kubernetes, MongoDB, and Vault. Apply AI/ML tools, optimize performance, troubleshoot complex issues, conduct code reviews, participate in Agile ceremonies, document technical decisions, and mentor junior engineers.

Leads cloud platform engineering, designing, developing, and operating secure, scalable services across public cloud environments. Guides platform engineers, establishes reusable infrastructure patterns, automates operational work, manages security controls, improves monitoring and application quality, reduces technical debt, and mentors team members. The role requires extensive software development, cloud, infrastructure-as-code, containerization, CI/CD, and Agile leadership experience.

Build scalable, enterprise-grade applications and server-side systems for conversational collaboration platforms. Responsibilities include developing interactive applications, reusable tools and frameworks, APIs, and product features; applying software engineering best practices; collaborating with product owners from design through delivery; improving usability, scalability, and platform functionality; and mentoring colleagues.

Designs, develops, modernizes, and supports scalable enterprise applications using .NET, C#, Angular, React, REST APIs, microservices, SQL Server, and Azure. Integrates Agentic AI, Generative AI, Azure OpenAI, semantic search, analytics, and workflow capabilities. Responsibilities include UI and API development, database optimization, Azure DevOps CI/CD, cloud engineering, application modernization, Power BI integration, production support, and Agile collaboration with product, AI, data, and business teams.

Design, implement, maintain, and monitor reliable hybrid-cloud infrastructure on AWS. Build and maintain CI/CD pipelines, support Kubernetes and Docker production environments, migrate legacy infrastructure to hybrid cloud, improve security and compliance, troubleshoot incidents, perform root-cause analysis, and apply SRE, automation, observability, and documentation best practices.

Develops and supports network automation solutions using Python, Ansible, YAML, and REST APIs. Responsibilities include designing, coding, testing, debugging, documenting, and deploying automation workflows; integrating systems; generating operational reports; improving service quality; and establishing enterprise engineering standards. The role collaborates with technical stakeholders, evaluates complex technology solutions, supports Cisco and Arista network environments, and may lead projects or mentor peers.

Designs, builds, and operates reliable Azure infrastructure for data platforms. Develops Terraform infrastructure as code, CI/CD pipelines, observability, SLOs, incident response processes, and automation. Partners with security and governance teams on Azure policies, RBAC, and platform guardrails. Mentors engineers and drives engineering standards. The role requires strong Azure, Terraform, DevOps, scripting, monitoring, and incident management experience, with preferred experience in data services, Kubernetes, certifications, and regulated industries.

Design and develop scalable Java backend services, APIs, and distributed systems. Own features from design through delivery, collaborate with product managers, implement automated testing, conduct code reviews, and optimize performance, reliability, observability, and production readiness. The role also involves troubleshooting complex systems, validating AI-powered workflows, and promoting engineering craftsmanship and knowledge sharing.

Design, develop, and maintain Linux-based NAS appliance software using Python and Bash. Work on storage, filesystem, packaging, deployment, upgrades, lifecycle management, and platform services. Diagnose complex operating system, virtualization, multithreaded, and I/O issues in customer environments. Optimize XFS and ext4 performance, build automated tests, collaborate on high-severity escalations, and influence platform architecture. The role also involves low-level systems integration, CI pipelines, and responsible use of AI-assisted development tools.

Develop and maintain scalable Python test automation frameworks for cloud security products. Collaborate with engineering teams, test software at scale, troubleshoot complex production customer issues, and provide debugging insights. Integrate automated test APIs into Jenkins and GitLab CI/CD pipelines while building tools that improve testing workflows and engineering productivity. The role also involves diagnosing networking, cloud infrastructure, HTTP/HTTPS, and TLS issues.

Own reliability, performance, and operational architecture for a real-time conversational AI voice platform. Define SLOs, instrument distributed tracing, optimize latency, design autoscaling for real-time connections, conduct load and capacity testing, build resilience for AI dependencies, manage Kubernetes and infrastructure-as-code, lead incident response, and mentor engineers.

Own the architecture, roadmap, and performance of ServiceNow’s front-end platform and framework. Build reusable component systems, lead cross-team technical initiatives, resolve complex production issues, guide architecture and code reviews, mentor engineers, establish AI-assisted development guardrails, and partner with product and design. The role requires extensive front-end platform experience, deep JavaScript and TypeScript expertise, modern UI framework knowledge, performance optimization skills, and staff-level technical leadership.

Leads software engineering teams building AI-native and cloud-native applications on the ServiceNow platform. Responsibilities include people leadership, hiring, coaching, technical strategy, architecture, product collaboration, delivery accountability, customer engagement, incident response, organizational culture, and responsible AI innovation. The role establishes engineering standards, develops leaders, manages performance, drives roadmaps, and ensures high-quality execution across finance and procurement technology initiatives.

Develops automated testing frameworks and validation strategies for applications, APIs, microservices, cloud platforms, and AI systems. Designs functional, integration, regression, and end-to-end tests; evaluates generative AI, LLM, RAG, and agentic workflows for accuracy, groundedness, hallucinations, relevance, and latency. Collaborates with developers, architects, AI engineers, and DevOps teams to improve release quality and CI/CD automation.

Designs and maintains automated testing frameworks and validation strategies across UI, API, backend, integration, and end-to-end applications. Tests traditional software and AI systems, including Generative AI, LLM, RAG, and agentic workflows. Develops benchmark datasets and evaluation pipelines, validates accuracy, groundedness, relevance, hallucinations, latency, and response quality, and supports Agile, DevOps, cloud-native, and CI/CD delivery teams.

Develop and maintain automated testing frameworks and validation strategies for applications, APIs, microservices, cloud-native systems, and AI solutions. Design evaluations for Generative AI, LLM, RAG, and agentic systems, measuring accuracy, relevance, groundedness, hallucinations, response quality, and latency. Collaborate with engineering and DevOps teams to improve test coverage, release confidence, and CI/CD quality.

Designs, implements, and maintains integrations between Wise and complex financial systems across APAC. The role focuses on scalable network architecture, cloud networking, routing, security, infrastructure automation, and optimization. Responsibilities include troubleshooting infrastructure, developing network designs, collaborating on global engineering projects, planning roadmaps, influencing technology direction, and working with internal stakeholders and third parties. Technical leadership and mentoring are also valuable.

The Sr. Observability Engineer at Micron will manage and support monitoring tools, ensure system reliability, perform incident resolution, and maintain performance standards.