Top Python Jobs in Bangalore

Designs, builds, delivers, and maintains software applications and services. Develops Java and Spring Boot enterprise applications, RESTful APIs, and frontend features using React or Angular. Manages relational databases, Redis caching, Docker containers, Kubernetes deployments, and AWS EKS infrastructure. Applies software development lifecycle practices, CI/CD, testing, documentation, performance evaluation, data structures, and algorithms. Collaborates in Agile environments and contributes to innovation and production integration of emerging technologies.

Administer and optimize cloud-based data platforms, including Databricks workspaces, clusters, pools, and jobs. Configure RBAC, audit logging, governance, and security controls. Build CI/CD pipelines and Terraform-based automation for notebooks, libraries, jobs, and cluster lifecycles. Troubleshoot performance and integration issues, support data teams, and integrate platforms with Azure Data Lake, Power BI, Dataverse, and other enterprise systems.

Designs and automates cloud infrastructure, CI/CD pipelines, and containerized deployments. Manages Kubernetes and Azure environments, infrastructure as code, monitoring, scalability, service reliability, incident response, and postmortems. Supports system design, capacity planning, production engineering, and continuous service improvement. The role also integrates security scanning and other tooling into established delivery pipelines while collaborating across technical teams.

Develops reusable analog and mixed-signal CMOS circuit blocks, including amplifiers, LDOs, bandgaps, and charge pumps. Responsibilities include circuit design, layout supervision, simulation, verification, laboratory debugging, bench characterization, post-silicon validation, DFT collaboration, documentation, and production release. Provides technical leadership in specifications, project planning, design-team coordination, and collaboration with systems, test, product, applications, and marketing teams.

Own system-level quality for Portworx Enterprise across Kubernetes, storage, virtualization, and AI/ML environments. Design test strategies and Golang-based automation, validate high availability, resiliency, disaster recovery, upgrades, scalability, and failure scenarios, and improve functional and automation coverage. Maintain CI/CD test infrastructure, troubleshoot distributed system issues, collaborate across global engineering teams, mentor engineers, and support multiple concurrent releases.

Own system-level quality for Portworx Enterprise across Kubernetes, storage, and virtualization environments. Develop test strategies and Golang-based automation, validate high availability, resiliency, disaster recovery, upgrades, scale, and failure scenarios, and improve CI/CD test infrastructure. Troubleshoot complex distributed-system issues, identify coverage gaps, collaborate across engineering teams, support releases, and mentor engineers through code reviews and automation practices.

Deliver microarchitecture and RTL for Graphcore silicon: integrate IP/subsystems into SoC, maintain build/config environments, run synthesis/lint/CDC/timing checks, support verification and physical design handoffs, debug integration issues, improve automation and integration flows, and produce high-quality documentation.

The Principal Enterprise Architect will design solution architectures, engage with technical teams and customers, and support sales goals through integration strategies and architecture development.

Designs and maintains automated GPU performance verification infrastructure spanning workload generation, testing, simulation, emulation, silicon validation, data pipelines, dashboards, and metrics analysis. Partners with GPU architects and hardware teams to improve verification workflows, performance observability, and build iteration speed. The role primarily uses C++ and Python, with opportunities to develop full-stack applications and scalable infrastructure.

Prove correctness of design blocks, IPs, and SoC components using formal verification methods. Develop test plans, implement formal verification techniques, experiment with formal tools and flows, and collaborate with hardware design and verification teams to achieve quality and performance goals.

Lead customer-facing technical implementations for Fortune 500 clients. Discover and optimize third-party risk and compliance processes, configure workflows, forms, logic, scoring, approvals, integrations, and data flows in Certa Studio, and debug cross-system issues. Own project governance, testing, cutover, go-live, hypercare, and handoff. Use production LLMs and scripting to build solutions, identify platform limitations, and create reusable templates and accelerators.

Develop and maintain scalable full-stack applications using React, TypeScript, Java, Spring Boot, and cloud services across AWS and Azure. Design APIs, microservices, event-driven systems, CI/CD pipelines, infrastructure as code, and containerized deployments. Implement testing, monitoring, security, and production support practices. Translate business requirements into reliable technical solutions, collaborate with architects and Agile teams, document designs, and incorporate AI-driven capabilities into products.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Develop and validate clocking methodology solutions and scalable CAD automation tools for NVIDIA chips. Responsibilities include creating validation strategies, quality checks, debug infrastructure, bug fixes, and production workflows using C++, Python, Perl, and Tcl. The role partners with design, verification, architecture, methodology, and QA teams to deliver robust tools across SoC, CPU, GPU, and networking architectures.

Develop and operate observability solutions for large-scale distributed systems. Establish logging, metrics, and tracing standards; build infrastructure for collecting, aggregating, and storing metrics; and improve system scalability, reliability, and performance. Contribute to the technical roadmap, participate in on-call rotations, reduce incident response times, and optimize observability costs through improved visibility, retention policies, query efficiency, and resource sizing.

Design, develop, and maintain SQL drivers for data warehousing while ensuring seamless connectivity and optimizing performance. Engage with open source communities and collaborate across teams to enhance partner integrations.

Own backend integration services connecting market data providers, client systems, and internal platforms. Build reliable APIs and ingestion services, manage distributed systems on Kubernetes, and ensure performance, observability, security, and correctness. Responsibilities span design through production operations, including CI/CD, incident response, SLOs, and cost management. The role requires strong Java and Python skills, financial data experience, API design expertise, and practical use of AI engineering tools.

Build and support AI and DevOps platforms using production-grade Python, LLM orchestration, agent loops, prompt evaluation, CI/CD automation, GitLab pipelines, and REST/OpenAPI services. The role emphasizes infrastructure engineering, deployment environments, security automation, monitoring, source control, containers, Kubernetes, and infrastructure as code.

Designs, develops, tests, and delivers scalable system software supporting automation initiatives. Builds microservices and APIs, contributes to architectural decisions, collaborates with product, QA, and engineering teams, and implements CI/CD pipelines. The role requires experience with Golang, Java, or Python; Kubernetes and Docker; and DevOps tools including Jenkins and Git. Preferred experience includes public cloud platforms, databases, and emerging AI technologies.

Develops and maintains scalable healthcare software across front-end and back-end systems. Designs APIs, microservices, databases, cloud deployments, CI/CD pipelines, and containerized applications while ensuring healthcare data security and compliance. Collaborates with Agile teams, troubleshoots performance and data issues, participates in Scrum ceremonies, architects technical solutions, and mentors junior developers. The hybrid role may require up to 5% domestic or international travel and occasional off-hours migration work.

Develop and lead deployment automation, CI/CD, infrastructure-as-code, system integration, and engineering workflow solutions. Build tooling across Windows, networking, virtualization, and cloud environments while improving observability, reliability, and productivity. Conduct code reviews, documentation, debugging, and root-cause analysis; collaborate across engineering, DevOps, IT, quality, and verification teams. Mentor engineers and promote modern software engineering practices, Agile delivery, and AI-assisted development tools.

Lead production software development across microservices, APIs, integrations, event-driven workflows, and AI-enabled agentic systems. Design reliable LLM workflows with tool calling, retrieval, orchestration, validation, observability, and human review. Lead technical delivery, modernize legacy components, mentor engineers, and establish safe AI-assisted development practices. Build containerized SaaS applications using Docker and Kubernetes, work with relational and NoSQL databases, and support cloud deployments, CI/CD, testing, security, and production operations.

Designs, develops, and validates control algorithms for temperature, pressure, flow, and vacuum systems used in semiconductor equipment. Responsibilities include process modeling, system identification, PID and advanced controller tuning, instrumentation integration, performance analysis, root-cause investigations, laboratory validation, diagnostics, predictive maintenance, and technical documentation. Collaborates with multidisciplinary engineering teams to deliver reliable, optimized automation and process-control solutions.

Performs static timing analysis and closure for complex multi-million-gate SoCs from 16nm to 3nm nodes. Responsibilities include developing SDC constraints, pre- and post-layout timing closure, low-power optimization, DFT insertion, CLP and LEC, timing-model maintenance, debugging, and guidance for placement and clock-tree synthesis. The engineer leads implementation activities, drives team members, communicates with project management, and supports first-pass silicon success.

Own and improve cloud infrastructure, Kubernetes platforms, Infrastructure as Code, CI/CD, GitOps, observability, security, reliability, and cost efficiency. Build automation and self-service tooling, lead complex production incident investigations, improve resilience and disaster recovery, evaluate architecture, and mentor engineers. The role requires autonomous platform ownership, strong systems judgment, and thoughtful use of AI-assisted engineering tools.