Top Python Jobs in Hyderabad

Architects, implements, and manages enterprise database platforms across SQL Server, MySQL, and cloud services. Responsibilities include database security, compliance, scalability, replication, clustering, disaster recovery, monitoring, troubleshooting, automation, DevOps integration, documentation, and mentoring. The role partners with cross-functional teams to modernize database infrastructure, improve reliability and performance, and adopt Infrastructure as Code and containerization.

Lead full-stack development of secure applications using Java, Spring Boot, React.js, microservices, and cloud technologies. Drive architecture, code quality, technical governance, DevOps collaboration, and CI/CD delivery. Integrate generative AI capabilities such as LLM APIs, semantic search, and RAG workflows. Mentor engineers, translate requirements into technical tasks, collaborate with product managers, and support scalable cloud-native systems.

Leads verification architecture and methodology for next-generation HBM designs. Responsibilities include developing verification plans, coverage strategies, sign-off criteria, UVM-based testbenches, reusable components, and formal verification approaches. The role partners with build teams, drives verification completeness, manages simulation and regressions, mentors engineers, and influences technical direction. AI-enabled verification and automation using Python or TCL are also encouraged.

Own end-to-end technical architecture across frontend, backend, infrastructure, and data systems. Lead 10–20 engineers across concurrent initiatives, guide technical decisions, mentor teams, manage delivery risks and dependencies, and maintain reliability, security, observability, and technical health. Drive AI-native engineering practices across the software development lifecycle and partner with product stakeholders to deliver scalable, high-traffic consumer platforms.

Define and evolve scalable application architectures across backend, frontend, data, integrations, security, and cloud deployment. Establish engineering quality standards, testing practices, observability, and technical governance. Develop responsible AI-assisted software engineering guidelines, workflows, and quality controls. Provide hands-on technical leadership through architecture reviews, prototypes, reference implementations, critical code reviews, mentoring, and cross-team alignment.

Provides end-to-end technical support for global clients using Fluent Order Management. Responsibilities include troubleshooting post-implementation issues, resolving incidents within SLAs, automating monitoring, developing and testing enhancements, maintaining runbooks, analyzing operational trends, and communicating with client and IT stakeholders. The role requires rotational shifts and on-call support, along with hands-on experience in Java, GraphQL, REST APIs, Python, API testing, and CI/CD practices.

Provides technical leadership for verification of Ethernet and PCIe switch SoCs. Defines scalable SystemVerilog UVM architectures, verifies ARM/MIPS subsystems and AMBA fabrics, drives coverage closure, debugs RTL and firmware interactions, improves regression infrastructure, and mentors verification engineers. Requires deep ASIC/SoC verification expertise, protocol knowledge, simulator experience, scripting skills, and technical leadership.

Own and operate secure, highly available AWS and GCP infrastructure, MongoDB Atlas, infrastructure-as-code, Kubernetes, CI/CD, observability, and incident response. Lead a three-person DevOps team, self-host open-source tools, improve security and privacy practices, define reliability standards, automate operations, and collaborate across engineering, product, and security teams.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Own physical design methodology and top-level timing closure for GPU and SoC designs. Responsibilities include floorplanning, placement, clock-tree synthesis, post-route optimization, static timing analysis, EMIR analysis, ECO and DRC closure. Build and improve EDA tool flows, automate processes with Python and Tcl, troubleshoot design and tool issues, optimize PPA and turnaround time, and collaborate with design teams and EDA vendors across tapeouts.

Architects, designs, develops, tests, and implements scalable, secure software solutions. Leads technical planning, coding standards, architectural adherence, codebase consolidation, and complex distributed-system initiatives. Collaborates with product stakeholders, contributes to technical innovation, troubleshoots large-scale platforms, and mentors software engineers. The role requires strong experience with Java or Python, modern UI frameworks, microservices, APIs, databases, cloud-native applications, and software development lifecycle practices.

Designs, deploys, secures, automates, and optimizes enterprise AWS cloud infrastructure. Responsibilities include developing secure cloud solutions, managing CI/CD pipelines, creating AMIs, implementing Terraform-based Infrastructure as Code, monitoring production environments, maintaining governance and compliance controls, and improving availability and resilience. The role also partners with technology teams on cloud transformation and supports enterprise IAM, networking, security, and operational improvements.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Develop scalable Python and Flask applications, APIs, Azure cloud solutions, data pipelines, PostgreSQL databases, Redis integrations, and front-end components. Build agentic AI solutions, automated Playwright tests, and CI/CD processes while supporting secure coding, performance optimization, code reviews, troubleshooting, and production operations. Collaborate with product, architecture, DevOps, and security teams in an Agile environment.

Lead reliability, scalability, observability, automation, infrastructure, disaster recovery, and security initiatives for Crunchyroll’s cloud-native data platforms. Establish SRE practices including SLIs, SLOs, error budgets, incident management, and postmortems. Operate Kubernetes and GCP environments, implement Infrastructure as Code, optimize capacity and performance, and drive vulnerability remediation, penetration-testing support, and cloud platform security.

Designs and leads scalable backend systems, distributed systems, data-processing pipelines, and next-generation commerce platforms. The role drives architecture, technical roadmaps, system reliability, platform extensibility, and resolution of critical issues. It involves collaboration with globally distributed engineering teams and stakeholders, mentoring engineers, and delivering high-availability products using Java, Python, AWS, Spring, and container-based testing environments.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Develop and maintain automation, infrastructure, and monitoring solutions for large-scale distributed compute systems. Troubleshoot complex systemic issues, deploy software safely at scale, participate in on-call rotations, restore service-impacting incidents, and improve observability and reliability. The role requires expert Linux systems administration, configuration management, performance optimization, infrastructure automation, and proficiency with Python or Golang, cloud platforms, and monitoring technologies.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Research Intern will investigate next-generation storage and memory architectures for AI/ML workloads. Responsibilities include working with NVMe and SPDK storage stacks, exploring memory tiering and disaggregation, evaluating near-storage computing techniques, and prototyping high-performance storage architectures. The role involves performance, scalability, and efficiency analysis, collaboration with senior researchers, and potentially publishing findings.

Research internship focused on digital hardware design and FPGA prototyping for next-generation protocols and system features. Responsibilities include implementing and testing FPGA hardware, evaluating performance, area, and timing, exploring translation to silicon, and collaborating with architects. Candidates need strong digital design and computer architecture fundamentals, hands-on FPGA experience, knowledge of synthesis, timing, and verification flows, and programming skills in C/C++ and Python.