Top Python Jobs in Bangalore

Designs, develops, debugs, and sustains complex Layer 2 and Layer 3 packet-forwarding software for routers and switches. Works with customer-facing and cross-functional teams to translate requirements into software designs, address Linux and microkernel issues, support networking features, resolve field issues, and deliver high-quality projects. Requires strong C/C++/Python skills, networking expertise, systems knowledge, and experience with datapath ASICs or NPUs.

Develops and maintains automated regression testing solutions for networking products. The role requires debugging test failures, distinguishing software defects from other issues, performing root-cause analysis, identifying coverage gaps, and collaborating with development and test teams. Responsibilities include test execution, data provisioning, defect analysis, documentation, and improving long-term testing strategies using Python, Perl, CI/CD practices, virtualization, networking protocols, and test equipment.

Build and lead development of scalable, high-performance software systems, primarily using Golang for backend services. Responsibilities include architecture, coding, debugging, performance optimization, API and microservices development, cloud-based engineering, cross-functional collaboration, mentoring junior developers, conducting code reviews, and coordinating technical project execution.

Develop and optimize high-throughput, resilient risk metrics engines and workflows. Implement cloud-first, AI-enabled architecture, write production-grade code, follow modern SDLC (CI/CD, automated testing), and collaborate with quantitative engineers and product stakeholders to scale risk measurement systems.

Develop and maintain enterprise Kubernetes platform services, APIs, automation, infrastructure-as-code solutions, and cloud-native applications. Build distributed and microservice-based systems, support containerized workloads, troubleshoot platform issues, and contribute to observability, incident response, and on-call operations. The role also explores AI-enabled operational tooling, LLMs, intelligent automation, and AIOps initiatives while collaborating with senior platform engineers.

Build and lead CI/CD platforms, infrastructure automation, Kubernetes deployments, and containerized testing environments across on-premises and cloud platforms. Develop deployment templates, monitor system health, support critical incidents, document architectures, and improve operational processes. The role mentors engineers, coordinates with stakeholders, and serves as a hands-on technical DevOps expert.

Develops, debugs, validates, and optimizes software for Intel platforms across audio, camera, computer vision, and AI domains. The role drives platform bring-up, hardware-software integration, driver and operating system issue resolution, customer enablement, proof-of-concepts, technical documentation, and cross-functional collaboration with vendors, customers, and engineering teams.

Supports senior team members on technical projects, troubleshoots issues, maintains hardware and software systems, collaborates in team activities, learns new technologies, completes assigned tasks, and incorporates feedback. The role is intended for a currently enrolled technical bachelor's student seeking hands-on experience in programming, technical problem-solving, and project work.

Leads technical support and sustenance of healthcare software products, resolving install-base issues, identifying root causes, updating code and procedures, and coordinating escalations across engineering, product, operations, customers, and field teams. Provides technical leadership, manages L4 operations, coordinates migrations and cloud rollouts, develops KPIs and dashboards, drives corrective actions, maintains troubleshooting documentation, and ensures process quality and audit readiness.

Develop full-stack digital engineering solutions for Airbus core engineering teams. Build data-driven applications, workflow automation tools, analytics products, and large-scale user interfaces using Python, SQL, PySpark, and front-end technologies. Collaborate with Product Owners and cross-functional teams within Agile, Scrum, and SAFe environments. Apply computer science fundamentals, debugging, DevOps practices, and propulsion engineering knowledge while coordinating multiple projects and adopting new technologies.

Leads the design and maintenance of CI/CD pipelines, infrastructure-as-code, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, monitoring, reporting, and change management while improving deployment reliability and reducing operational toil. Collaborates with Systems Engineering and SRE teams, supports customer deployments, tracks delivery metrics, and maintains documentation and reusable playbooks.

Design, develop, test, and maintain software features across the SDLC. Collaborate with cross-functional teams, lead module coding, participate in code reviews, troubleshoot complex issues, and contribute to architectural decisions.

The Senior Software Engineer in Observability will develop metrics and logging standards, enhance system scalability, and collaborate to ensure operational excellence.

Build and scale backend, distributed data systems, storage, data pipelines, and full-stack platform services at Databricks. Responsibilities include designing reliable services, working with cloud storage, Apache Spark, Kubernetes, Scala, and data infrastructure, while collaborating with product management to deliver scalable user experiences. The role requires developing large-scale distributed systems and SaaS or service-oriented platforms.

Build and operate backend infrastructure for Databricks’ large-scale data and AI platform. Responsibilities include developing cloud-agnostic infrastructure abstractions, foundational platforms across regions and cloud providers, engineering productivity tools, and backend systems based on distributed systems and service-oriented architectures. The role requires hands-on participation across design, development, implementation, and ongoing operations.

Design, build, and operate backend infrastructure for Databricks at scale. Develop cloud-agnostic systems, service platforms, and tooling to improve developer efficiency across languages and regions. Contribute across design, implementation, and operations for distributed, SaaS-oriented services.

Design and implement backend connectivity services for Databricks' networking infrastructure, enabling scalable, efficient control-plane to compute-plane connectivity across multi-cloud environments. Lead development of distributed systems, collaborate with product and operations teams, and help establish the Bangalore site.

Develop automated test frameworks and validation processes for embedded energy measurement and monitoring algorithms. Design test cases, generate synthetic signals, verify accuracy against IEC standards, analyze results, document findings, and collaborate with algorithm developers. The role requires Python-based scientific computing, embedded systems testing, signal processing, and familiarity with AI coding assistants.

Implement and integrate ASIC design-for-test features supporting ATE, in-system testing, debug, diagnostics, scan, BIST, and boundary scan. Collaborate with design, verification, physical design, and post-silicon teams to validate test logic throughout implementation and silicon validation. Develop reusable DFT strategies, debug gate-level simulations, create and analyze ATPG patterns, and support advanced silicon technologies including stacked dies.

Build SaaS connectors and simple REST API components, debug and optimize data pipeline code, contribute to feature development and documentation, and solve integration issues under mentorship. The role is designed for fresh graduates with foundational object-oriented programming, API, data structures, and algorithms knowledge, plus proficiency in Java, TypeScript, or Python.

Senior Site Reliability Engineer responsible for 24/7 follow-the-sun operations, infrastructure alerting, incident response, customer enablement, KPI improvement, go-live readiness, RCA governance, and operational automation. The role supports highly available SaaS platforms using cloud infrastructure, Kubernetes, Infrastructure as Code, observability, and reliability practices while partnering across engineering, platform, customer enablement, and support teams.

Leads 24/7 follow-the-sun SRE operations for a cloud SaaS platform. Responsibilities include incident response, operational KPI ownership, customer-critical issue resolution, go-live readiness, RCA governance, ticket and backlog improvement, automation, AI-powered self-service, runbook maturity, cross-functional coordination, and mentoring engineers. The role requires strong cloud, Kubernetes, infrastructure-as-code, Linux, networking, observability, reliability, and incident-management expertise.

Lead cloud infrastructure and DevOps engineering for Reltio’s multi-cloud services. Architect scalable infrastructure with Kubernetes, Terraform, and Helm; drive automation, CI/CD, security, observability, cost optimization, and zero-downtime operations. Troubleshoot across the full technology stack, improve developer experience and DevSecOps maturity, mentor engineers, collaborate across teams, and participate in monthly on-call rotations.

Own end-to-end verification of clocking and reset structures for automotive and datacenter ASICs. Develop test plans, automation, validation flows, coverage metrics, and execute tests to identify and resolve bugs. Apply SystemVerilog, UVM, C++, Perl, Python, formal verification, and profiling tools across block- and system-level platforms while collaborating with architecture, design, and distributed engineering teams.

Build, operate, and improve production systems across Kubernetes, AWS, Azure, Linux, and database environments. Responsibilities include infrastructure automation with Terraform, scripting, observability, incident response, on-call support, reliability engineering, capacity planning, performance optimization, upgrades, disaster recovery, and maintaining operational documentation. The role partners with engineering and platform teams to deliver scalable, highly available services.