Top Python Jobs in Hyderabad

Analyze and optimize end-to-end performance of large-scale AI workloads across GPUs, networking, storage, and software. Design benchmarks, establish baselines, diagnose regressions and bottlenecks, and translate profiling and observability data into optimization plans. Partner with deep learning engineers, platform teams, and GPU architects to deliver improvements, while communicating findings and tradeoffs to guide system and software design decisions.

Own and develop a customer-facing metrics and reporting platform with a frontend focus using React and TypeScript, while contributing to Python and FastAPI backend services. Build dashboards, tables, filters, visualizations, routing, and saved views; integrate module federation; manage API state and validation; maintain accessibility, testing, performance, and design-system standards; and support production issues across the full stack.

As a Senior CAD Engineer, you will enhance EDA tools for CMOS layout and verification, aiding teams to improve productivity and efficiency while providing innovative solutions with AI methodologies.

Leads engineering for ERP data management, high-volume email processing, backend APIs, distributed systems, and service architecture. Owns reliability, scalability, security, observability, and iterative platform improvements for 24/7 systems. Acts as a liaison between engineering and business teams, mentors engineers, and collaborates across global teams in India, China, Singapore, and the United States. The role is fully remote from India and requires flexibility for global operations.

As a Fixed Network Engineer, you will deliver technical support, troubleshoot issues, manage Jira tickets, conduct analysis, and collaborate with teams to enhance product capabilities.

Design, characterize, model, and maintain standard cells for new DRAM technologies. Collaborate with DTCO and international teams, perform timing/power characterization and quality analysis, develop automation/testbench flows and tools, and apply AI-based automation to improve design and characterization productivity.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Provides hands-on technical leadership for mission-critical liquidity and cash management platforms. Responsibilities include designing and implementing complex software, guiding architecture decisions, mentoring engineers, ensuring engineering quality, owning production support and reliability, leading incident response, partnering with investment stakeholders, and driving cloud-native modernization. The role requires backend and full-stack development, distributed systems expertise, and strong AWS and DevOps experience.

Leads enterprise test strategy, automation frameworks, release quality, production readiness, and non-functional testing for data governance and metadata management platforms. Oversees testing across functional, integration, regression, performance, resiliency, and infrastructure areas; mentors test engineers; manages defects, risks, metrics, traceability, compliance, and stakeholder collaboration across Agile teams.

Administer and enhance enterprise Atlassian and Jenkins platforms, including Jira, Confluence, Bitbucket, ScriptRunner, and CI/CD tooling. Develop automation with Python, Shell, and Groovy; build Java plugins and REST integrations; manage upgrades, migrations, security controls, compliance, monitoring, and platform performance. Provide L2/L3 production support, troubleshoot incidents, integrate DevOps tools, and improve reliability, scalability, and SDLC governance across enterprise environments.

Lead end-to-end RTL design and integration for complex SoC, subsystem, and IP blocks. Define micro-architecture, develop Verilog/SystemVerilog RTL, and drive design closure across verification, physical design, DFT, firmware, and architecture teams. Address timing, power, area, clocking, reset, lint, CDC, RDC, synthesis, formal, and low-power requirements. Debug simulation, emulation, silicon, and customer issues; review specifications and designs; mentor engineers; and improve reusable IP and design methodologies.

Lead FPGA Firmware Engineer responsible for defining hardware requirements, developing and debugging FPGA firmware, designing analog and digital hardware, maintaining legacy products, and creating functional, manufacturing, and test specifications. The role supports real-time control applications for HVDC systems, contributes to design reviews, documents designs, and collaborates with multidisciplinary global engineering teams to deliver commercial projects on schedule.

Designs, implements, and maintains automated service fulfillment, remediation, and reporting solutions via software development and system configuration. Participates in automation design reviews, scopes and estimates work, and provides production support, troubleshooting, and root-cause analysis to reduce manual IT operations.

Designs and manages resilient cloud infrastructure focused on reliability, security, scalability, and cost efficiency. Builds monitoring and alerting systems, applies SLI/SLO/SLA practices, automates provisioning and operational workflows, participates in incident response and root-cause analysis, and implements permanent reliability improvements. Collaborates with engineering and cross-functional teams on cloud solutions, tooling, proofs of concept, standardization, and operational resilience across cloud and on-premises environments.

Designs and maintains automated testing solutions across UI, APIs, databases, and integration layers for a global post-trade platform. The role drives shift-left quality practices, validates Oracle-to-PostgreSQL migrations, integrates automated testing into CI/CD pipelines, applies AI-assisted testing tools, and mentors QA engineers. Responsibilities include testing functional and non-functional requirements in containerized microservices environments while establishing technical direction and automation best practices.

Own reliability, availability, performance, observability, and operational excellence for an Agentic AI ERP platform. Operate Kubernetes environments and AI platform components, lead incident response and root-cause analysis, establish SLIs, SLOs, and error budgets, and improve resilience, scalability, disaster recovery, and automation. Support cloud-hosted, customer-hosted, and air-gapped deployments while collaborating with platform, AI, product, DevOps, and security teams.

Build and manage observability infrastructure for an Agentic AI ERP platform, including OpenTelemetry instrumentation, distributed tracing, metrics, centralized logging, Grafana dashboards, SLI/SLO tracking, alerting, runbooks, and incident response. Develop telemetry for Java, Python, Angular, MCP servers, AI agents, LLM performance, and RAG quality. Support scalable production operations, root-cause analysis, and customer-facing visibility across distributed systems.

Provides production application support for critical financial-market applications. Responsibilities include incident resolution, root-cause prevention, monitoring automation, application deployments and upgrades, disaster recovery execution, audit responses, runbook maintenance, risk controls, and collaboration with development, infrastructure, vendors, and business teams. The role also supports production defects, minor enhancements, and application design and development activities.

Build and maintain Terraform-based infrastructure across Azure and AWS; develop CI/CD pipelines with Azure DevOps and GitHub Actions; manage cloud resources, security, monitoring, logging, documentation, incident support, and cost optimization. Collaborate with development, QA, security, product, and architecture teams while improving reliability, scalability, and disaster recovery.

Perform CFD simulations from subsonic through hypersonic regimes for external airframes and internal propulsion flows. Analyze shock interactions, turbulence, separation, heat flux, and aerothermodynamic effects. Build meshes, run 6DOF dynamic and overset simulations, post-process aerodynamic data, and support multidisciplinary design activities. Automate workflows using Python or scripting tools, conduct validation studies, and communicate results through technical reports and design recommendations.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Lead design-for-test (DFT) for advanced ASICs: define and implement DFT/IP, collaborate with RTL and physical teams, drive ATPG/AT E and post-silicon validation, debug test logic, and integrate testability throughout implementation and validation flows.

Ownership of AWS EKS infrastructure and CI/CD pipelines (Terraform, GitHub Actions, Concourse, Jenkins). Implement observability, automation with Python, and maintain Docker/Helm deployments. Secondary focus on building scalable Django/Python backend APIs, PostgreSQL optimization, and integrating AWS services (SQS, S3, Lambda).

Designs, develops, executes, and maintains automated tests across the software delivery lifecycle. Builds and enhances test automation frameworks, maintains traceability between requirements and automated scripts, performs functional, regression, integration, backend, API, database, and unit testing, and integrates continuous testing into CI/CD pipelines. Collaborates with development and business teams to troubleshoot issues, improve software quality, and address privacy, security, risk, and control requirements.

Designs, implements, and operates cloud platforms; monitors and optimizes performance; automates deployments and maintenance; ensures cloud security and compliance; administers patching, backups, and capacity management; troubleshoots issues and mentors teams to support hybrid cloud environments and cloud-based application development.