Top Python Jobs in Hyderabad

Develop reliable cloud-native and AI-native software under senior guidance. Build ServiceNow workflows, business rules, forms, dashboards, integrations, and AI agents using JavaScript and GlideScript. Write tested, maintainable code; troubleshoot issues; participate in code reviews, CI/CD, Agile development, deployment, customer support, and documentation. The role emphasizes mentorship, learning ServiceNow platform capabilities, and integrating AI/ML services into applications.

Manages a team of software and data engineers delivering large-scale Spark-based data platforms and processing solutions. Provides technical leadership for distributed systems, batch and streaming pipelines, performance optimization, cloud deployments, reliability, and operational excellence. Oversees architecture, delivery, Agile governance, and production troubleshooting while partnering with product, architecture, data science, and business teams. Coaches engineers, conducts performance reviews, supports hiring, and drives technical roadmaps, automation, quality, and continuous improvement.

Develops secure, scalable software and data solutions using Databricks, Spark/PySpark, AWS, Python, and SQL. Designs applications, optimizes large-scale data processing, builds production ETL/ELT systems and data models, and supports AI/ML pipelines. Creates architecture artifacts, troubleshoots complex systems, validates AI-assisted development outputs, improves coding standards, and mentors engineers. Preferred experience includes Delta Lake, Unity Catalog, streaming, Airflow, MLflow, infrastructure as code, containers, Kubernetes, and monitoring tools.

Leads quality engineering for disability and absence solutions by defining risk-based testing strategies, building automated tests across user interfaces, APIs, databases, integrations, and workflows, and integrating testing into CI/CD pipelines. Oversees defect triage, root-cause analysis, release validation, and production readiness. Ensures performance, security, privacy, accessibility, regulatory, and operational quality while mentoring engineers and advising stakeholders.

Leads a 6–8-person engineering team building database observability products, including telemetry agents, ingestion pipelines, recommendation engines, and AI-driven diagnostics. Owns technical direction, architecture, roadmap delivery, reliability, DevOps, hiring, mentoring, and performance management. Partners with Product and Design while guiding distributed systems, streaming, database, and AI engineering initiatives.

Own verification and end-to-end analysis of full-chip gate-level DRAM designs. Develop SystemVerilog and UVM testbenches, test cases, stimuli, test vectors, regressions, and coverage improvements. Simulate, debug, and analyze pre-silicon block and full-chip designs using digital, mixed-signal, and SPICE tools. Apply AI-based automation to accelerate verification while validating outputs against specifications, simulations, waveforms, assertions, and coverage. Guide newer engineers and collaborate globally on verification methodologies and environments.

Leads verification strategy, architecture, methodology, execution, debugging, and closure across RTL, analog mixed-signal, and transistor-level designs. Develops SystemVerilog and UVM environments, applies SPICE-based simulation, analyzes coverage, correlates simulations with silicon behavior, and drives automation using Python and AI-assisted tools. Collaborates across design, validation, product engineering, and CAD teams while mentoring engineers and leading strategic verification initiatives.

Design and enable ASIC, memory, SoC, mixed-signal, and semiconductor CAD flows. Develop automation using scripting and programming languages, integrate EDA and AI-assisted tools, and lead physical implementation, timing closure, DFT, custom layout, verification, and signoff. Collaborate across engineering teams to support tape-out, manufacturability, silicon success, production ramp, documentation, training, and methodology improvements.

Leads customer-facing SSD technical activities, including complex issue resolution, debugging, root cause and failure analysis, qualification, platform integration, deployment, production ramp, sustaining support, performance testing, and interoperability validation. Owns firmware release management, technical documentation, diagnostic tools, customer communications, training, and Design-for-Debug initiatives. Coordinates cross-functional engineering and customer organizations while translating feedback into product improvements, readiness plans, and roadmap recommendations.

Plan and execute analog and mixed-signal verification across block, subsystem, and full-chip levels. Develop simulation environments, behavioral models, verification plans, automation scripts, and AI-assisted engineering workflows. Debug complex failures, perform electrical reliability and connectivity checks, analyze power behavior, and collaborate with design, firmware, product engineering, and manufacturing teams to improve product quality and verification efficiency.

Develop and support cloud-based healthcare platforms and web applications that use AI/ML and rules engines to automate prior authorization. Contribute to technical roadmaps, design, feature development, testing, releases, production support, and database-to-frontend engineering. Collaborate with product, design, and engineering teams while using Java or Python, React, JavaScript, cloud services, relational and NoSQL databases, version control, unit testing, and CI/CD.

Performs structural analysis, validation, and certification for aerospace mechanical systems and components. Conducts static strength, fatigue, durability, modal, vibration, buckling, nonlinear, thermal, and fracture analyses while ensuring aerospace standards and certification compliance. Uses ANSYS and CAD/PLM tools, supports tolerance analysis, and collaborates with distributed stakeholders. Develops automation using programming and scripting tools to improve analysis accuracy, standardize workflows, and reduce engineering cycle time.

Leads a Site Reliability Engineering team responsible for application resiliency, scalability, security, monitoring, automation, and customer experience. Establishes organization-wide SRE practices, reliability metrics, postmortems, and continuous improvement processes. Manages performance, hiring, career development, and collaboration across teams. Guides the safe, auditable use of enterprise AI in reliability workflows while coaching technologists and resolving complex technical issues.

Develop and scale C#/.NET test automation for DryvIQ’s Kubernetes-based distributed applications. Build API, integration, system, UI, regression, and end-to-end coverage; improve frameworks, reusable utilities, diagnostics, test data, and CI/CD integration. Validate microservices, asynchronous workflows, deployments, upgrades, recovery, and enterprise integrations. Diagnose complex failures using logs and system evidence, collaborate with engineering and QA teams, contribute to Python/PyTest tooling, and provide technical guidance.

Own the architecture and implementation of AI-native user experiences across ServiceNow’s platform. Design agent-to-UI interactions, streaming experiences, uncertainty handling, human-in-the-loop workflows, and trustworthy reasoning visibility. Lead UXC and Workspace platform architecture, write production frontend code using Lit.js and React/TypeScript, and collaborate with ML and backend teams using Java, Python, PostgreSQL, and Kubernetes. Mentor senior engineers, align technical decisions with business outcomes, and drive cross-functional execution.

Designs, administers, and optimizes enterprise backup, recovery, and cyber resilience solutions across on-premises, hybrid-cloud, and public-cloud environments. Leads backup and disaster recovery initiatives, ensures RPO/RTO compliance, develops Terraform-based infrastructure automation, and scripts operational processes using Python, PowerShell, and Bash. Implements monitoring, observability, immutable backups, cyber vaults, isolated recovery environments, and air-gapped recovery capabilities. Troubleshoots complex infrastructure issues, supports audits and compliance, and drives technical roadmaps and operational excellence.

Design and maintain standard cells for DRAM products, collaborate on architecture, characterize models, develop automation tools, and enhance productivity using AI.

The Senior Engineer will design and maintain standard cells for DRAM products, collaborate on architecture development, and perform characterization and quality analysis of cells. Development of automation tools and engagement in AI-assisted design improvements are also key responsibilities.

Develop and support embedded and interface software for semiconductor manufacturing equipment. Work across bare-metal and Linux environments using C, C++, and Python to interface with custom hardware and microcontrollers. Collaborate with software, electrical, controls, and mechanical engineers on equipment design, PCB and schematic review, circuit prototyping, debugging, testing, documentation, and system integration. Support existing equipment and use laboratory instruments for design bring-up and characterization.

Leads full-stack Java software development from requirements and architecture through coding, testing, deployment, maintenance, and operational support. Designs scalable applications, documents technical specifications, ensures security and coding compliance, troubleshoots defects, coordinates with QA and infrastructure teams, and supports release management. Also designs and deploys AI-powered solutions using no-code, low-code, and advanced platforms.

Develops and supports infrastructure solutions within a cybersecurity and technology controls team. Responsibilities include testing infrastructure performance, validating requirements, analyzing monitoring data, considering system dependencies, escalating issues, and using approved AI tools for infrastructure analysis and documentation. Requires infrastructure engineering knowledge, programming experience, software development lifecycle familiarity, CI/CD, testing frameworks, and public cloud experience. Linux, Windows, and ticketing-system experience are preferred.

Build, deploy, and operate production backend and cloud services using Go, Python, AWS, and Terraform. Design event-driven and serverless systems, telemetry and analytics pipelines, and secure infrastructure. Own features through release, monitoring, incident response, and root-cause prevention. Improve CI/CD, observability, runbooks, and on-call practices while collaborating across global teams. Provide code reviews, technical guidance, and cross-functional support for enterprise data and cloud platforms.

Own complex software features, services, integrations, and technical workstreams from design through production. Solve ambiguous engineering problems, make project-level technical decisions, improve reliability and scalability, and apply secure engineering practices. Use AI-assisted development tools responsibly, diagnose production issues, and guide other engineers through reviews, collaboration, and knowledge sharing. The role focuses on enterprise technology, cloud environments, automated testing, observability, and maintainable production systems.

The role involves performing failure analysis on NAND components, driving solutions for system development, and innovating testing methodologies while collaborating with multi-functional teams.

The role involves leading NAND Flash memory product validation, developing test algorithms, debugging, and partnering with various engineering teams for product specifications and requirements.