Top Python Jobs in Hyderabad

The Principal Infrastructure Engineer is responsible for architecting and managing CI/CD systems and VMware infrastructure, leading DevOps functions, mentoring teams, and ensuring system reliability and performance.

Design and implement DFT (scan, MBIST, LBIST, boundary scan) for SOCs and hard macros. Generate and validate ATPG patterns, perform RTL and gate-level verification, support silicon bring-up, and collaborate with STA, synthesis, verification, test, and product teams to improve DFT methodology and test stability.

Designs, develops, debugs, and verifies embedded software and firmware for aerospace systems. Leads test architecture, verification strategies, certification activities, audits, design reviews, and bench setup. Evaluates emerging technologies, influences software architecture, automates processes with generative AI, and guides engineers while managing cross-functional stakeholders, quality, cost, and schedule objectives.

Own reliability, scalability, performance, and operational health of production services. Define SLIs/SLOs and use error budgets; improve observability and fault tolerance; debug production issues and perform RCA; build automation and self-healing; run safe production changes and incident response; collaborate across engineering, product, and operations; participate in on-call rotation.

Lead design and implementation of scalable UI, API, and performance test automation frameworks (Playwright, Selenium, REST Assured, Locust). Define automation strategy, integrate tests into CI/CD, mentor SDETs, drive quality metrics, collaborate with product/engineering/DevOps, and improve testing and testability across multiple projects.

Design and automate scribe test structures and layouts to support R&D and manufacturing integration. Develop and maintain EDA automation flows, PCELL-based device layouts, and DUT generation. Collaborate with process, mask, device, reliability, and characterization teams, validate documentation/parametrics, drive data-driven optimization, and mentor junior engineers.

Lead design, implementation, and operations of secure Azure-based platform services. Build cloud landing zones, governance, IaC, CI/CD, and DevSecOps automation. Enable Databricks/Snowflake/Airflow integrations, observability, cost optimization, SRE practices, and AI-assisted DevOps/SecOps. Drive platform adoption, reusable services, zero-trust security, and mentor cross-functional teams.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

Design and execute RTL verification for DRAM IP: define scope and strategy, build SV-UVM testbenches, run directed and constrained-random regressions, close functional/code coverage, debug RTL/testbench issues, and collaborate with designers. Maintain verification flows and tools, use scripting to automate regressions, and proactively adopt approved AI tools to improve verification productivity.

Lead architecture and design for ANTHEM tooling solutions in Honeywell Aerospace. Collaborate with business and technical leaders to deliver scalable, secure, cloud-native software, guide teams, recruit and develop talent, and ensure system integration, validation, and compliance.

Lead development and verification of avionics embedded software per DO-178B/C. Define test architecture, tools and processes; use C/C++/Python and GenAI to automate; drive technical decisions, PDR/CDR reviews, stakeholder coordination, talent strategy, and evaluate new embedded technologies. Mentor engineers and ensure quality, cost, and schedule objectives.

Lead embedded avionics software development and verification efforts following DO-178B/C. Define test architectures, tools, and processes; drive improvements, influence stakeholders, mentor engineers, and evaluate new technologies to improve productivity, quality, and cycle time.

Lead embedded avionics software development and verification per DO-178B/C. Drive test architecture, tools, and processes; conduct PDR/CDR/TRR and audits; use C/C++/Python, debuggers, simulators, VectorCAST/Cover and MATLAB; apply GenAI/LLMs to automate tasks; evaluate new technologies; mentor engineers and manage cross-functional stakeholders to meet quality, cost, and schedule goals.

Lead embedded software development and verification for avionics programs following DO-178B/C. Drive common test architectures, tools, processes, and automation (including GenAI). Influence stakeholders, plan and execute project schedules, mentor engineers, evaluate new technologies, and ensure efficient test strategies using tools like debuggers, simulators, Vector Cast/Cover, and MATLAB.

Lead embedded software development and verification for DO-178B/C aerospace programs. Drive test architecture, tools, and processes; use C/C++/Python and MATLAB; apply debuggers, simulators, VectorCAST, and GenAI (LLMs/ChatGPT) to automate tasks. Conduct PDR/CDR/TRR/reviews, bench setup, audits, evaluate new technologies, influence software architecture, mentor engineers, and manage stakeholders to meet quality, cost, and schedule objectives.

The Sr Engineer in Die Design Engineering will oversee TSV & 3D Integration, collaborate across teams, and ensure die design meets advanced packaging requirements.

The Staff Engineer will oversee verification activities for DRAM design, utilizing AI tools and simulation to enhance efficiency and provide support for design projects.

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.

As a Senior Customer Engineer, you manage technical relations, design solutions, deploy AI workflows, mentor peers, and ensure system integration for enterprise clients.

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).

Design, develop, deploy, and operate secure, highly available backend services for identity, authorization, privileged access, and cloud infrastructure. Lead design and coding efforts, make architecture decisions, conduct code reviews, collaborate with global engineering partners, implement monitoring and safe deployment practices, and mentor team members. Apply AI-first development practices to improve operational safety, scalability, security, and engineering productivity.

Designs, builds, and supports scalable cloud data platforms across Azure and AWS. Leads Databricks-based ETL/ELT pipelines, lakehouse architecture, data transformation, API integrations, automation, monitoring, CI/CD, and Infrastructure as Code. Partners with architecture, security, FinOps, analytics, and business teams to deliver secure, governed, reliable, and cost-effective solutions. Provides technical leadership, establishes engineering standards, mentors engineers, and resolves complex data, integration, and platform issues.

Develop and enhance custom software solutions using Python and modern frameworks. Design scalable architectures, write clean and efficient code, collaborate across teams, make technical decisions, improve development processes, and mentor junior engineers while applying agile methodologies.

Develop, design, code, and enhance scalable custom software solutions using Python and modern frameworks. Collaborate across teams, make technical decisions, improve development processes, ensure software quality, and mentor junior engineers while working within agile methodologies.

Develop, design, and enhance scalable custom software solutions using Python and modern frameworks. Collaborate across teams, make technical decisions, coordinate project delivery, mentor junior engineers, and align solutions with business objectives. Apply agile practices, software development lifecycle knowledge, scalable architecture principles, clean coding standards, version control, and collaborative development tools.