Top Python Jobs in Bangalore

Develop and own Android Automotive OS features and IVI components from requirements through integration. Modify Android framework, system services and SDK, implement and run tests, triage defects, ensure requirements traceability and feature maturity, coordinate with other domains, and mentor junior engineers.

Design, develop, and own Android Automotive framework components from requirements through integration. Modify AOSP/framework services, ensure test strategy and pre-integration verification, triage defects, resolve cross-domain dependencies, and mentor junior engineers.

Plan, execute, and report QA activities for ETL pipelines and analytics solutions. Design and run test cases, validate ETL processes, track defects, participate in Agile ceremonies, mentor juniors, and drive test automation and data quality improvements across databases and downstream analytics.

Lead transformation from manual QA to AI-enabled, automation-first quality engineering. Design AI-driven test frameworks, establish automation standards, integrate CI/CD, mentor teams, drive organizational change, and establish metrics and governance to raise engineering quality across product teams.

Lead and mentor a platform engineering team while hands-on designing, coding, and operating highly scalable, resilient distributed systems. Define platform strategy and roadmaps (API gateways, service mesh, messaging, observability), improve reliability and MTTR, drive SRE/chaos engineering practices, collaborate with product and business, and hire and grow senior engineering talent.

Develop and execute functional and automated system tests for embedded networking devices. Create test cases from requirements, configure L2/L3 devices for testbeds, verify L2-L7 protocols, report defects, and collaborate with engineers to ensure feature quality. Use Python and scripting; familiarity with ML frameworks is a plus.

Design, build, and maintain CI/CD pipelines and automation for cloud and on-prem infrastructure. Troubleshoot staging/production, drive migrations to microservices, create internal platform tools, enforce DevOps best practices, optimize cost/scaling, and collaborate with developers and test teams. Produce documentation and training.

As a Senior DevOps Engineer, you will automate infrastructure, support CI processes, enhance product security, improve system efficiency, and collaborate with engineering teams to optimize performance.

Design, provision, and govern Azure storage services; build IaC automation (Terraform, Terragrunt, Ansible); support replication, disaster recovery, monitoring, security, compliance, and cost optimization; troubleshoot storage and infrastructure issues; collaborate with cross-functional teams in Agile/SAFe environments.

Develop and drive low-power verification flows for Xcelium, collaborate with R&D and AE, work with top-tier customers to deploy solutions, create product requirements, automate tool flows, and document best practices.

Provide senior-level, hands-on support for complex multicloud networking and security issues. Serve as technical escalation for deployment, integration, optimization, and critical incident RCA. Troubleshoot network connectivity and performance across AWS, Azure, and GCP; analyze packets, logs, and metrics; coordinate with Sales, Solution Engineering, and Product Engineering; document KB articles and runbooks; mentor junior engineers and participate in on-call rotations.

Senior backend/platform engineer responsible for designing and evolving scalable, observable, secure APIs, data, and AI platforms. Embed AI-native capabilities (LLM orchestration, evaluation, guardrails), improve reliability, performance, and developer experience, write technical strategy, partner with product and customer teams, and mentor peers.

The role involves defining verification strategies, leading verification activities, developing verification environments, debugging RTL errors, and mentoring engineers in IC verification projects.

Provide hands-on operational support for global cloud and infrastructure platforms (Linux/Windows). Automate provisioning with Ansible/Terraform, manage Azure and AWS resources, administer monitoring/alerting, handle incidents via ITSM, support audit/compliance, manage assets, and collaborate with global Cloud Operations while working flexible shifts in a 24x7 environment.

Lead quality engineering for cloud-native retail ERP web applications by designing and executing test strategies, building and maintaining automation frameworks, performing UI/API/integration/end-to-end testing, applying AI-enabled testing techniques, validating frontend-backend workflows, collaborating with Product/Engineering/DevOps, tracking quality metrics and release readiness, and mentoring team members.

The role involves physical design aspects, driving layout closure, collaborating with various teams, and scripting for flow automation in semiconductor design.

The QA Engineer will create and execute test cases, develop automated tests, ensure software meets specifications, and document QA processes.

The role requires developing and implementing policies using Terraform and Kubernetes, experience in cloud technologies, and CI/CD pipeline management, along with strong coding and communication skills.

Join the Product Engineering team to drive the development and validation of mixed-signal image sensors from definition to market release, working with cross-functional teams on test plans and execution.

Support an agile team to design, develop, and execute ETL test cases using PySpark, Python, and SQL. Build and enforce QA best practices, identify automation opportunities, participate in test planning, perform root-cause analysis, and collaborate with developers to ensure reliability, performance, and testability of data systems.

The Test Engineer will execute firmware testing for battery systems, develop test cases, perform regression testing, and analyze test results using Python and Raspberry Pi-based systems.

Manage and grow the engineering team, build distributed systems for data processing, and communicate with stakeholders to influence project direction.

Design, implement, and optimize observability solutions across applications, infrastructure, and cloud. Build dashboards, alerts, telemetry, automation, and runbook/self-healing capabilities. Define SLIs/SLOs, improve MTTD/MTTR, enable AIOps-driven alerting and incident response, and integrate observability with CI/CD, cloud services, and ITSM.

Lead Tier-3 support for Palo Alto products, mentor TAC engineers, develop automation scripts, manage incidents, and collaborate with cross-functional teams.

Lead performance analysis, profiling, and optimization of a large-scale UEM platform. Define benchmarks, design and run load/stress/endurance tests, eliminate bottlenecks across app, infra, and DB layers, build automation for testing and capacity planning, and respond to performance incidents while collaborating with cross-functional teams.