Top Python Jobs in Hyderabad

Lead a hands-on engineering team to deliver AI-first healthcare products using agile practices. Responsibilities include design-to-production delivery, people management, estimation, mentoring, enforcing engineering best practices (testing, CI/CD), stakeholder communication, production support, incident management, and DevOps operations.

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.

Owns operational reliability for enterprise network services, including troubleshooting, incident and problem management, RCA closure, and major incident support. Builds production automation with Python, Shell, and Ansible; supports software-defined networking, routing, switching, firewalls, load balancers, and proxies. Improves observability, alert quality, runbooks, standardization, and resilience while partnering with development and platform teams. Uses validated, security-aware enterprise AI capabilities to accelerate incident triage and identify recurring reliability risks.

Administer and manage large-scale CI/CD infrastructure across on-premise and cloud environments, including VMs and Kubernetes. Resolve incidents, execute upgrades and change tasks, maintain availability, configure monitoring and alerts, analyze logs, create operational runbooks, and support business continuity exercises. The role requires on-call coverage and collaboration with engineering and application teams while improving automation, capacity, performance, and system stability.

Performs mechanical and aerospace component design and analysis, specializing in aerodynamic and conjugate heat transfer CFD for gas turbine engine components. Interprets CFD results, prepares technical reports, recommends design changes, develops engineering tools and automation scripts, and introduces innovative product concepts. Collaborates with geographically distributed stakeholders and supports technology development, multitasking, communication, and presentation activities.

Design, develop, test, deploy, and operate production backend services and APIs using Go, Python, AWS, and Terraform. Build event-driven cloud systems, telemetry and analytics pipelines, and secure infrastructure. Own features through monitoring and incident resolution, investigate customer escalations, improve CI/CD and observability, and perform root-cause analysis. Collaborate across global teams, contribute to on-call practices, review code, guide engineers, and improve reliability and operational automation.

Lead RTL-to-GDSII physical implementation for advanced SoCs, handling floorplanning, power planning, CTS, place-and-route, timing closure, and signoff (STA, SI, EM/IR, DRC/LVS). Optimize PPA and low-power implementation, drive methodology and automation, mentor teams, collaborate across architecture/RTL/DFT/verification/CAD, and adopt AI/Generative/Agentic tools to improve productivity. Custom layout experience for analog/mixed-signal integration is a plus.

Own verification and end-to-end analysis of advanced DRAM full-chip and block-level designs. Develop SystemVerilog/UVM testbenches, test cases, stimuli, regressions, and coverage improvements; debug pre-silicon designs and support silicon learning loops. Build verification methodologies and environments using digital, mixed-signal, SPICE, and AI-assisted automation tools. Collaborate globally, validate AI-generated outputs, guide team members, and contribute to DDR and emerging memory verification projects.

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.

Own SSD validation across requirements analysis, test strategy, automation, execution, defect management, and root-cause analysis. Develop test cases, PASS/FAIL criteria, validation frameworks, and software architectures while improving coverage and reducing test time. Collaborate with R&D, Quality, Manufacturing, and engineering teams to ensure product quality and timely market delivery. Analyze results, document findings, track revisions, and use Python and AI-assisted tools to automate workflows.

Lead DFT strategy, integration, and optimization for NAND flash designs across digital, custom/analog, and array domains. Develop and validate test sequences, firmware, and simulations (Verilog/XA); support first-silicon bring-up, post-silicon validation, failure analysis, and high-volume ramp while collaborating with cross-functional teams.

Design and maintain reliable, scalable, and secure AWS infrastructure using Terraform and automation scripts. Manage monitoring, logging, alerting, CI/CD, container orchestration, incident response, and performance optimization. Collaborate with development, operations, and security teams, participate in on-call rotations, enforce cloud security practices, document systems, and responsibly use AI-assisted engineering tools.

Design, develop, and debug embedded software (bare-metal to embedded Linux) for custom semiconductor test equipment. Lead and supervise a local software team, collaborate with electrical, mechanical, and control engineers, support manufacturing and field service, and perform hands-on lab work and equipment interfacing. Integrate AI-assisted tools to improve workflows.

Leads the design, development, and delivery of secure, scalable full-stack infrastructure solutions. Influences architecture, modernization, cloud adoption, automation, CI/CD, testing, and engineering standards. Provides technical leadership, code review, mentoring, and stakeholder coordination across Product, Architecture, Operations, SRE, vendors, and business teams. Drives responsible adoption of AI-assisted engineering tools while ensuring secure coding, validation, resiliency, and operational stability.

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.

Test and validate Generative AI applications, .NET APIs, React interfaces, analytics outputs, and Databricks and Azure Data Factory pipelines. Develop manual and automated tests, evaluate AI accuracy, safety, consistency, and hallucinations, validate data transformations and schemas, and support regression testing. The role also addresses privacy, PHI/PII handling, access controls, Responsible AI governance, auditability, and test automation within CI/CD pipelines.

Designs and develops advanced aerospace acoustic technologies, especially for engines and related components. Performs CFD and FEA modeling, aerodynamic and acoustic analysis, test measurements, data processing, and predictive code development. Uses NX, MATLAB, Python, LabVIEW, and specialized simulation tools to interpret results, recommend design changes, validate physical models, and integrate noise-reduction solutions. Collaborates with multidisciplinary and geographically distributed stakeholders while road-mapping innovative product technologies.

Responsible for verification of DRAM critical timings, guiding verification efforts, analyzing full chip designs, and developing verification methodologies.

Lead architecture and implementation of high-scale, distributed cloud-native services using Go/Java. Drive best practices for coding, testing, observability, and CI/CD. Improve performance, reliability, and cross-team delivery while leveraging cloud platforms, databases, and streaming/data infrastructure to support a multi-tenant security platform.

Lead design, implementation, optimization, and maintenance of performance-critical data-path components. Improve concurrency, throughput, latency, scalability, and reliability; diagnose complex defects and escalations; partner with QA and Performance Engineering; define test strategies; influence architecture, coding standards, and cross-team engineering practices.

Lead a team of engineers to build and operate cloud-native services for ransomware detection, ensuring system reliability and security.

The Senior Performance Engineer will architect performance automation frameworks, conduct tests, mentor engineers, and analyze system performance in cloud environments.

The Principal Software Engineer will design and implement cloud-native services, lead architectural discussions, and improve CI/CD and operational excellence across AWS and Azure environments, while providing technical mentorship and driving system reliability.

The role involves the verification and analysis of memory circuit designs, guiding verification efforts, and developing testing methodologies collaboratively. Candidates should possess skills in circuit analysis, simulation, and scripting.

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