Top Python Jobs in Hyderabad

Lead verification for complex CPU/SoC IP and subsystems: define verification strategies and test plans, build verification environments, run and debug simulations/emulations, apply random-stimulus and coverage-driven techniques, and mentor engineers while improving verification methodologies and tools.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Designs, develops, integrates, and supports secure digital applications, REST APIs, workflows, Azure cloud services, and AI-enabled capabilities. Responsibilities include automated testing, CI/CD, event-driven integrations, production support, monitoring, documentation, and continuous improvement. The role collaborates with cross-functional product and delivery teams to build reliable enterprise solutions and reusable engineering assets.

Own the technical execution of production data migrations, integrations, and automations for APAC customers. Build backend services, data pipelines, migration utilities, validation frameworks, and reusable tooling using Python, SQL, APIs, databases, and cloud infrastructure. Handle testing, deployment, reconciliation, debugging, security, observability, failure recovery, documentation, and operational handoff while coordinating with regional engineers and managing multiple implementation workstreams.

Leads quality engineering strategy across PUMA’s direct-to-consumer technology landscape. Responsibilities include managing automation teams, designing scalable test frameworks, driving regression and API testing, integrating automated tests into CI/CD pipelines, defining quality metrics, and partnering with engineering, product, DevOps, SRE, and architecture teams. The role also advances shift-left practices, performance testing, observability, AI-assisted testing, and continuous improvement across web, mobile, commerce, integrations, and platform services.

Architects, designs, develops, tests, and implements scalable, secure software solutions. Leads planning and technical innovation, collaborates with product stakeholders, supports codebase integration, establishes coding standards, troubleshoots distributed systems, and mentors software engineers. The role focuses on UI and API integration, cloud-native applications, microservices, real-time transaction platforms, database design, and modern software development practices.

Lead the development of a centralized Infrastructure and Security Operations function. Build reusable Terraform modules across AWS and Azure, establish CI/CD provisioning pipelines, embed security and compliance controls, and enforce cloud governance standards. The role is hands-on and includes mentoring platform and DevOps engineers, reviewing infrastructure changes, leading sprint planning, resolving escalations, and shaping scalable multi-cloud engineering practices aligned with ISO 27001.

Designs and maintains automated test frameworks, executes tests, analyzes defects, and supports software quality across development teams. Builds CI/CD pipelines, validates APIs, manages test planning and execution, and troubleshoots test environments. Uses AI assistants and AI-driven development practices to generate tests, evaluate AI-generated code, and test GenAI features, including LLM outputs and regression behavior. Participates in Agile ceremonies, code reviews, UAT, and production support.

Deploys and supports enterprise LAN, WAN, WLAN, data center, SD-WAN, and AWS/Azure networking. Responsibilities include infrastructure-as-code automation with Terraform, Ansible, and Python; routing, switching, cloud and hybrid connectivity; wireless, load balancing, monitoring, incident response, change management, capacity planning, and network security coordination. The role also performs physical deployments, documentation, CMDB onboarding, troubleshooting, vendor coordination, and on-call operational support across global, regulated environments.

Develop and verify ASIC Design-for-Test architectures, including test plans, SystemVerilog testbenches, ATE screening, in-system testing, debug, diagnostics, JTAG, scan, and MBIST. Collaborate with RTL, design verification, physical design, and post-silicon teams to integrate and validate test logic. Debug using DVE or Verdi and automate workflows with Tcl, Python, or Perl.

Develop and architect Lattice’s FPGA EDA toolchain, including synthesis, place and route, and timing analysis. Collaborate across engineering teams to deliver a standards-compliant, reliable, and high-performance tool suite. Translate marketing requirements into technical specifications, own specification and planning processes, improve development methodologies, and lead projects and technical discussions.

Develop scalable cloud-native data and software solutions using AWS, Databricks, Teradata Vantage, Python, Spark, and DevOps automation. Build and optimize large-scale data pipelines, healthcare data transformations, analytics workflows, APIs, and reporting capabilities. Responsibilities include code reviews, testing, monitoring, production releases, Agile delivery, and collaboration with technical and business stakeholders. The role supports advanced analytics use cases including prediction, fraud detection, sentiment classification, recommendations, and signal detection.

Own pre- and post-silicon ASIC verification for complex IP, clusters, and SoCs. Responsibilities include developing regression plans, achieving functional and code coverage closure, performing XPROP and gate-level simulations, collaborating with architects and designers, supporting FPGA and software testing, and debugging verification issues. The role uses simulation, debug, formal verification, and UVM-based methodologies.

Build, secure, automate, and operate Databricks on AWS: provision workspaces and Unity Catalog, implement IaC (Terraform/CloudFormation), enable observability, optimize costs, support migrations and AI/ML workloads, automate deployments via CI/CD, and provide platform troubleshooting and stakeholder collaboration.

Leads the design, development, deployment, and production support of complex software systems. Makes system-level architecture decisions, ensures scalability, reliability, security, observability, and compliance, and uses AI-assisted tools responsibly. Mentors engineers, conducts design and code reviews, resolves technical blockers, improves engineering practices, and collaborates with product, architecture, security, cloud operations, and quality teams. The role requires hands-on programming, distributed-systems expertise, automated testing, CI/CD, operational readiness, and production troubleshooting.

Provides L2 escalation support for end-to-end observability incidents across applications, infrastructure, networks, cloud-native environments, APM, logs, synthetics, and RUM. Performs root cause analysis, configures and tunes Datadog monitors and dashboards, supports major incidents, drives problem management and permanent fixes, automates monitoring tasks, analyzes performance trends, maintains ITSM documentation, and mentors L1 engineers.

Serves as the L3 technical authority for enterprise observability, resolving complex cross-domain incidents and leading root cause analysis. Owns Datadog architecture, monitoring standards, SLOs, dashboards, instrumentation, platform governance, cost optimization, and automation. Defines observability coverage across applications, infrastructure, networks, and cloud-native environments. Leads major incident response, post-incident improvements, capacity and performance insights, stakeholder governance, and mentoring of L1/L2 engineers.

Senior backend-focused engineer responsible for designing and delivering features in Go and React, building scalable distributed architectures, mentoring teammates, coordinating with product and business stakeholders, instrumenting production systems, and leading small teams to ship high-quality APIs and services.

Build and enhance backend services and applications for Galaxy’s internal Finance One platform using Go and relational databases. Partner with Finance and Accounting stakeholders, maintain system reliability and data accuracy, support production users, investigate issues end to end, and contribute to technical designs, code reviews, testing, deployment, and engineering standards. The role also involves developing finance-related data solutions and supporting new Finance Engineering initiatives.

Support a global migration from Cisco to Arista networking hardware by configuring, deploying, troubleshooting, testing, and validating switches and routers. Provide Tier 1–2 network support, maintain technical documentation, collaborate with senior engineers and project managers, and ensure compliance with security and operational standards. The role requires strong Layer 2/3 networking, routing, monitoring, troubleshooting, and communication skills, with shift flexibility and office-based work in Bangalore or Hyderabad.

Build, test, deploy, monitor, and support full-stack applications and data-platform capabilities across frontend, backend, APIs, databases, and infrastructure. Develop Angular-based interfaces and Java or Python services, implement secure APIs and CI/CD pipelines, and apply automated testing, code quality, vulnerability scanning, and secure coding practices. Collaborate with business and engineering teams, participate in architecture reviews and incident response, resolve complex platform issues, and support operational excellence in a finance technology environment.

Build and maintain full-stack applications using modern front-end technologies and Python or Node.js back ends. Design micro-frontends, integrate REST APIs, work with relational databases and ETL/ELT pipelines, and apply secure coding, automated testing, Git, and CI/CD practices. Collaborate in Agile teams, troubleshoot technical issues, and support cloud, analytics, observability, and AI/ML application integrations.

Architects Kandou’s customer-facing Randa platform, including SDKs, APIs, diagnostics, telemetry, integrations, and developer documentation. Leads interoperability qualification across networking, switching, and BMC platforms; owns compatibility, release governance, regression strategy, and customer-specific adaptation layers. Partners with firmware, validation, product, and field engineering teams to deliver secure, backward-compatible releases and represents software capabilities in customer technical discussions and escalations.

Leads hands-on development and delivery of real-time embedded firmware modules for heterogeneous SoCs. Responsibilities include C/C++ coding, RTOS integration, low-level drivers, bootloaders, secure boot, firmware updates, hardware bring-up, debugging, validation, code reviews, planning, documentation, cross-functional integration, and mentoring. The role emphasizes RISC-V platforms, peripheral interfaces, silicon development tools, and ownership from requirements through release.

Owns DevOps and platform engineering for a digital banking domain, including releases, CI/CD reliability, ephemeral and shared environments, Kubernetes runtimes, secrets, connectors, infrastructure automation, and observability. The role partners with distributed engineering teams, supports incident response, documents operational practices, and applies AI agents to automate environment setup, pipeline diagnosis, runbooks, and platform operations. Responsibilities include managing GitHub Actions, Terraform, Helm, GitOps, cloud infrastructure, and production workloads.