Top Python Jobs in Bangalore

Design, build, and maintain a large-scale observability and distributed tracing platform using Sentry/OpenTelemetry/Jaeger. Implement end-to-end tracing across microservices, develop Kubernetes operators, apply TDD/CI-CD/chaos practices, participate in on-call rotations, and review peer designs to improve reliability and scalability.

Design, build, and optimize scalable CI/CD pipelines and infrastructure-as-code; create self-service developer tools; implement monitoring, alerting, and automated remediation; collaborate with engineering teams to establish best practices and improve pipeline reliability and developer experience at enterprise scale.

Develop and release cloud applications for production environments across public and private cloud platforms. Design scalable distributed systems using cloud databases, containers, streaming platforms, distributed caching, and monitoring tools. Collaborate with product marketing, project managers, and development partners to translate requirements into technical solutions. Apply software engineering, distributed computing, algorithms, and cloud architecture principles while supporting deployment, operations, monitoring, and maintenance.

Leads the Developer Platform engineering organization by treating the internal platform as a product, defining roadmaps, prioritizing backlogs, and delivering secure, reliable self-service development and deployment workflows. Manages and mentors engineering talent, drives architecture for distributed systems, promotes CI/CD and operational excellence, collaborates across teams, supports recruitment and development, and participates in operational reviews and support rotations.

Develop and maintain software applications within a development team. Analyze requirements, create technical specifications, write, review, debug, and document code, and recommend product enhancements. Work on scripting, APIs, data transformation, and complex mapping documents using XML, XSD, XSLT, JSON, Java, Angular, and TypeScript. Resolve complex issues with minimal supervision, communicate status, and collaborate effectively.

Lead Site Reliability Engineer responsible for improving service reliability, uptime, observability, scalability, and incident response. The role manages SLOs, SLIs, error budgets, automated runbooks, postmortems, capacity planning, performance testing, infrastructure automation, Kubernetes and AWS environments, CI/CD, chaos engineering, and advanced alerting. The engineer also writes production code, supports resilient distributed systems, participates in on-call rotations, and collaborates with development and operations teams.

Build and lead scalable, production-grade data platforms, pipelines, workflows, and analytics infrastructure for private markets data products. Translate business needs into technical architectures, own solutions through deployment and support, enable AI/ML production use cases, and establish standards for testing, governance, observability, security, and cloud-native development. Partner with engineering, data science, product, and senior stakeholders to deliver reliable, high-impact solutions.

Provides expert customer support for HPE data center networking solutions, including network design, troubleshooting, break/fix support, Junos configuration, testing, automation, documentation, and best-practice guidance. The role serves as a customer-facing technical authority, contributes to engineering projects, evaluates designs, drives technology innovation, and mentors junior engineers. Requires extensive data center networking experience with Juniper platforms and up to 10% customer-site travel.

Design and ship Java, Go, and Rust services for NVIDIA Cloud Functions, a distributed platform routing AI workloads across GPU fleets. Improve performance, reliability, scalability, and cloud-native build and release processes. Collaborate across NVIDIA technologies, contribute to an open-source project, triage community issues, review pull requests, and write documentation. The role requires expertise in systems programming, distributed architecture, Kubernetes, containerization, Linux internals, scripting, and continuous integration.

Automate cloud infrastructure and SaaS platform testing while supporting SRE, developer productivity, and operations teams. Develop functional, non-functional, end-to-end, and system test automation, tools, test plans, configurations, and lab environments. Diagnose defects with developers, improve testing processes, provide quality assurance services, and participate in on-call support. The role requires cloud, Kubernetes, Terraform, monitoring, Linux, database, performance testing, and scalable systems expertise.

Develop and execute manual and automated tests across UI, API, system integration, end-to-end, and user acceptance scenarios. Maintain scalable automation frameworks, integrate testing into CI/CD pipelines, perform exploratory testing, troubleshoot defects and script failures, and improve test strategies. Collaborate with developers, business analysts, product owners, and QA teams within Agile environments while documenting processes and supporting code reviews.

Build and operate Cognite’s serverless execution engine and workflow orchestration platform. Responsibilities include designing distributed, multi-tenant systems; owning reliability, scalability, APIs, observability, CI/CD, testing, and performance; and supporting ML workloads, workflow orchestration, data storage, and event-driven architectures across multiple clouds. The role also involves optimizing costs and enabling industrial AI and contextualization pipelines.

Own the reliability, scalability, automation, and operations of PostgreSQL, Elasticsearch, and Kafka infrastructure across multi-cloud Kubernetes environments. Responsibilities include fleet orchestration, provisioning, upgrades, backups, monitoring, disaster recovery, capacity planning, performance tuning, incident response, and infrastructure automation. The role partners with engineering and platform teams to reduce operational toil and deliver resilient, self-service database infrastructure.

Validates customer-focused Service Provider and Cloud networking solutions through system testing, automation, performance and scale testing, troubleshooting, and release certification. Designs test strategies, builds representative lab environments, develops Python or Robot Framework automation, analyzes results, performs root-cause analysis, and collaborates with customers, field engineering, and product teams. Produces technical reports and presentations while improving testing processes and leveraging AI-powered testing tools.

Validates customer networking solutions through system-level testing, automation, test lab configuration, and solution certification. Develops test plans and automated cases for feature, scale, migration, performance, interoperability, and end-to-end validation. Troubleshoots Junos/EVO networking devices, performs root cause analysis, identifies product defects and coverage gaps, and collaborates with engineering, field teams, sales engineers, and customers. Produces technical reports and presentations while improving testing methodologies and leveraging AI-powered testing tools.

Owns the architecture and long-term evolution of embedded Linux platforms for cardiology devices. Establishes quality, performance, testing, compatibility, governance, and technical-debt strategies; develops architecture roadmaps; and partners with product, UX, QA, DevOps, and engineering teams. Provides technical leadership, conducts design reviews, ensures regulatory and quality compliance, mentors senior engineers, and applies AI-assisted engineering practices. The role requires deep C/C++ expertise, embedded software development, scripting, automation, and platform architecture experience.

Leads performance testing strategy and engineering for applications, including load, stress, scalability, monitoring, and capacity testing. Develops testing frameworks, integrates performance testing into CI/CD pipelines, analyzes application and infrastructure metrics, troubleshoots complex issues, and delivers performance reports. Manages and mentors performance testing teams while collaborating with development, QA, operations, and architecture stakeholders across microservices and AI-enabled environments.

Execute data quality and testing initiatives for a data platform, including ETL testing, data validation, load and performance testing, automated regression testing, AWS pipeline monitoring, and Power BI report validation. Develop test cases, verify ingestion and transformation logic, investigate data anomalies, document results, and collaborate with engineers, analysts, and stakeholders to maintain data integrity, availability, and reliability.

Leads performance engineering and testing strategies for scalable applications, including AI and generative AI systems. Conducts load, stress, capacity, and performance testing; builds testing frameworks; analyzes application, database, operating system, and network metrics; troubleshoots bottlenecks; and integrates testing into CI/CD pipelines. Mentors QA engineers, coordinates cross-functional initiatives, creates performance reports, and communicates recommendations to technical and non-technical stakeholders.

Designs, develops, tests, and maintains integrations between healthcare technology products and external systems. Leads database design, ETL pipelines, SQL optimization, data mapping, troubleshooting, documentation, and customer technical support. Requires expertise in healthcare data formats, backend programming, cloud services, and advanced SQL. Provides mentorship and technical leadership to integration engineers while collaborating with customers, partners, and internal teams.

Lead performance testing strategy and execution across applications and environments. Conduct load, stress, and capacity testing; identify bottlenecks; establish KPIs and monitoring; build scalable testing frameworks for AI and generative AI applications; troubleshoot performance issues; integrate testing into CI/CD pipelines; analyze infrastructure metrics; document results; and mentor junior QA engineers.

Leads performance testing strategy and automation across QA, staging, pre-production, and production environments. Designs workloads, test plans, scripts, environments, and data; analyzes application and infrastructure performance; troubleshoots complex issues; and develops monitoring dashboards and reports. Integrates testing into CI/CD pipelines using tools such as JMeter and Jenkins. Collaborates with development and operations teams, communicates findings to technical and non-technical stakeholders, and mentors junior QA engineers.

Leads CPU pre-silicon verification activities, including RTL test planning, simulation and emulation environments, verification components, coverage plans, debugging, and corrective actions. Guides verification methodologies, tools, quality initiatives, schedules, and deliverables to achieve first-pass silicon success. Partners with architects and logic designers while managing resources, team development, performance, and productivity. Requires extensive technical leadership and experience in CPU architecture and processor verification.

Validates customer-focused Service Provider and Cloud networking solutions through system-level testing, automation, performance and scale testing, and solution certification. Designs test strategies, builds representative lab environments, configures Junos/EVO network devices, develops automated tests, analyzes results, performs root cause analysis, and collaborates with customers, field engineering, and development teams. Produces technical reports and presentations while improving validation processes and leveraging AI-powered testing tools.

Leads technical direction, engineering execution, and people development for a team delivering Azure Local capabilities. Drives architecture, implementation, integration, deployment, reliability, security, observability, and operational excellence for large-scale distributed cloud systems. Partners across engineering, product, customers, and field teams to manage dependencies, make technical trade-offs, deliver end-to-end solutions, and develop technical leaders.