Top Python Jobs in Hyderabad

Leads the design, modernization, automation, scalability, security, and reliability of enterprise observability and application performance monitoring platforms. Builds tracing gateways, collectors, agents, telemetry pipelines, OpenTelemetry standards, and automated instrumentation across cloud-native and hybrid environments. Integrates AI-assisted troubleshooting, observability copilots, intelligent workflows, and incident-management platforms. Partners with application, SRE, platform, architecture, data, and AI teams while serving as the technical lead for enterprise tracing and APM platforms.

Design, build, and operate AWS cloud infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, container platforms (Kubernetes/ECS), and managed databases (MongoDB Atlas). Implement monitoring, security best practices, support Spring Boot applications, provide developer self-service, participate in on-call rotations, and resolve production incidents.

Develops secure, scalable Java and AWS applications supporting KYC, AML, sanctions, PEP, and adverse media screening. Designs, tests, deploys, monitors, and troubleshoots cloud-based systems; automates infrastructure and deployments; integrates APIs and databases; implements security and compliance controls; creates architecture documentation; supports audits; and uses AI-assisted development tools responsibly.

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.

Design, develop, maintain, and support full-stack software systems across Windows and Unix environments. Implement services (WebAPI/REST), database-backed features, CI/CD automation, and cloud integrations. Participate in architecture, DevOps, performance tuning, and use AI-assisted tools to improve development productivity and code quality while collaborating in Agile teams.

Design, automate, and operate highly available cloud infrastructure on GCP and Azure using IaC (Terraform/ARM). Own CI/CD/GitOps pipelines, monitoring, incident response, vulnerability and secrets management, and drive reliability, performance, and DevSecOps practices across teams.

Builds and improves reliable, scalable applications and cloud infrastructure through automation, monitoring, infrastructure as code, and CI/CD. The role configures systems, implements observability and SLO-based alerting, investigates incidents, applies authorized AI capabilities to operational workflows, and collaborates with engineering teams to resolve issues and reduce recurring toil. It also guides peers in adopting SRE practices and iteratively improving application availability, reliability, and scalability.

Lead hands-on DevOps software engineering for a high-volume claims platform: develop code, automation, and agentic AI solutions; resolve production incidents; support releases; collaborate with stakeholders; drive reliability, continuous improvement, and on-call support to meet SLAs.

Designs and improves PCB load boards used with automated test equipment for semiconductor memory manufacturing. Responsibilities include circuit design and simulation, schematic capture, PCB development, testing, debugging, signal integrity analysis, lab measurements, Python scripting, documentation, engineering change control, prototype qualification, and customer issue resolution. The role works with global engineering, manufacturing, procurement, and contract manufacturing teams while applying AI-assisted tools and continuous improvement practices.

Designs and optimizes memory, logic, and analog circuits for DRAM and emerging memory products. Performs simulation, verification, layout, reliability analysis, tape-out revisions, and manufacturability reviews. Collaborates with cross-functional engineering, manufacturing, testing, process, and marketing teams. Leads junior engineers and technical experts while driving design standardization, innovation, automation, and use of AI-based tools.

Architect, build, and optimize Crunchyroll’s subscription and payments platform. Develop reliable backend services, integrate payment providers, support fraud prevention, improve performance, reduce churn, and maintain PCI compliance. Collaborate with product, design, quality, and data teams in an Agile environment while participating in on-call rotations and incident management. The role contributes to secure, scalable systems processing millions of payments.

Develops and supports enterprise observability platforms covering monitoring, logging, tracing, alerting, metrics, and dashboards. Automates onboarding and provisioning through scripting, Infrastructure as Code, CI/CD, and cloud technologies. Partners with application, infrastructure, SRE, and cloud teams to establish standards, analyze performance, troubleshoot incidents, conduct root-cause analysis, and improve platform reliability, governance, and developer adoption.

Leads software engineering initiatives involving Python, generative AI, LLMs, and scalable distributed platforms. Responsibilities include designing, coding, testing, debugging, documenting, deploying, and evaluating technology solutions; resolving complex technical challenges; supporting compliance requirements; leading projects; collaborating with stakeholders; and mentoring less experienced engineers. The role emphasizes OpenAI-compatible APIs, secure access patterns, agent orchestration, multi-model integration, observability, and AI evaluation.

Build, enhance, optimize, and maintain data-driven applications for Micron’s Data Hub and Integration team. Develop data warehousing and business intelligence solutions using .NET and SQL Server, while applying cloud technologies, microservices, APIs, authentication protocols, containerization, frontend frameworks, and generative AI concepts. Collaborate in a fast-paced environment, meet project timelines, and communicate effectively with technical teams.

Lead full-chip floor planning, custom analog and mixed-signal layout, physical implementation, verification signoff, and tape-out for advanced memory and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define scalable layout methodologies, drive AI-enabled design automation, lead global cross-functional teams, mentor engineers, and deliver advanced-node semiconductor products.

Design, build, and support analytics-driven Facilities systems: dashboards, AI-enabled capabilities, front-end interfaces, and data pipelines. Partner with Facilities, IT, and Digital teams to enable automation, predictive insights, standards alignment, and global site support.

Build and support full-stack healthcare web applications and cloud platform services. Contribute to technical roadmaps, architecture, feature development, testing, deployment, releases, and production support. Collaborate with product, design, and engineering teams to deliver AI-driven and rules-based healthcare automation. Responsibilities also include supporting information security policies, practices, and implementation.

Perform linear and nonlinear structural, thermal, and thermo-mechanical analyses using ANSYS Mechanical. Evaluate stress, deformation, fatigue life, thermal gradients, and design margins for aerospace applications. Develop ANSYS ACT extensions, IronPython automation scripts, engineering calculators, reporting tools, and desktop applications using .NET and Windows Forms. Automate simulation workflows, geometry processing, model setup, result extraction, reporting, and data management.

Leads software engineering initiatives focused on ETL and data integration. Designs, develops, tests, documents, modernizes, and supports pipelines using SSIS, Informatica, Python, SQL, and cloud data platforms. Responsibilities include PowerCenter-to-IDMC migrations, data transformations, automation, orchestration, error handling, monitoring, performance tuning, production support, incident resolution, code reviews, and technical documentation. Provides technical leadership, mentorship, and guidance while collaborating with analysts, architects, data modelers, and stakeholders.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

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.

Lead verification for sophisticated full-chip gate-level memory designs, including LPDDR and DRAM architectures. Simulate, analyze, and debug pre-silicon designs; develop test cases, test benches, and test vectors; run regressions and improve functional coverage. Guide verification methodology, collaborate with global design teams, analyze timing and logic schematics, and use SPICE, Verilog, Python, and AI-assisted automation to improve verification productivity.

The CAD Senior Engineer will develop simulation flows, optimize complex circuits, implement AI-assisted workflows, and lead junior engineers in improving productivity and reducing failures.

Designs and manages Azure infrastructure, Kubernetes platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and secure, highly available systems supporting data engineering and data science teams. Builds self-service capabilities and AI-powered solutions, optimizes platform performance and costs, troubleshoots reliability issues, and mentors junior engineers while collaborating across teams.

Build and operate full-stack products, backend services, REST APIs, data pipelines, distributed systems, and AI-powered workflows. Develop Java and Python services, deploy applications on Kubernetes, manage Kafka and ClickHouse systems, and create frontend components with React or Angular. Own reliability, observability, testing, performance, and production operations while collaborating with product, design, and engineering teams.