Top Python Jobs in Bengaluru

Develop and deploy scalable full-stack web applications using Python REST APIs and modern front-end technologies. Responsibilities include building user interfaces with React or Next JS and Tailwind CSS, developing backend services, working with databases, and potentially using background workers, schedulers, containers, and orchestration platforms. The role requires collaboration with the development team, strong problem-solving skills, and attention to detail.

Design and operate fault-tolerant, performance-critical backend infrastructure across AWS and GCP. Build serverless services, REST and WebSocket APIs, secure cloud deployments, and scalable AI workflows including fine-tuning and inference pipelines. Develop custom AI agent and multi-agent frameworks, manage containerized services, follow release processes, and document systems. The role requires strong Python expertise, extensive cloud and Kubernetes experience, infrastructure-as-code knowledge, and familiarity with generative AI and LLMs.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Performs QA for ETL/ELT pipelines, data warehouses, migrations, semantic models, and Power BI reporting. Responsibilities include source-to-target reconciliation, data quality validation, transformation and load testing, SQL and Python-based automation, root-cause analysis, defect documentation, and validating Microsoft Fabric, Databricks, and Power BI environments. The role also develops reusable validation frameworks and integrates automated data-quality checks into CI/CD pipelines.

Six-month backend engineering internship involving Python and Django application development, RESTful API creation, relational and non-relational database work, monitoring, testing, troubleshooting, performance optimization, and collaboration with engineering teams. The role is office-based in Bangalore five days per week, with potential for an internship extension or full-time offer based on performance.

Owns complex Cisco network troubleshooting, monitoring, capacity forecasting, maintenance windows, configuration compliance, network security, cloud connectivity, and automation. The role requires deep protocol and platform expertise across routing, switching, firewalls, F5 load balancers, data center fabrics, and cloud networks. Responsibilities include packet analysis, BGP and infrastructure security, operational documentation, audit readiness, lifecycle management, and 24x7 critical-incident on-call support in a hybrid Bangalore setting.

Lead and mentor 5–10 technical trainers creating and evaluating terminal-based AI training tasks. Review software, computational, electrical engineering, circuit, HDL, simulation, and automated grading tasks for correctness, reproducibility, numerical accuracy, performance, and reliability. Identify flawed assumptions, nondeterminism, race conditions, testing weaknesses, and technical inaccuracies. Allocate work, resolve blockers, provide detailed feedback, track revisions, and maintain technical documentation and quality standards.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Software Engineering Intern working on backend features and services for production systems. Responsibilities include writing clean, testable code, debugging complex issues, understanding existing codebases, and learning new tools and infrastructure. The role offers mentorship, exposure to cloud and backend technologies, and opportunities to develop system design and engineering skills.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Own backend quality engineering across functional, integration, end-to-end, and performance testing. Build scalable automation frameworks, test multi-service and multi-tenant systems, define performance benchmarks, analyze bottlenecks, integrate tests into CI/CD, and improve quality processes. Collaborate with engineering, product, and infrastructure teams to identify defects, regressions, reliability risks, and production performance issues.

Test routing protocol features across multiple network vendors and platforms, including service provider, enterprise, and data center environments. Evaluate switches, routers, firewalls, and load balancers, and communicate networking concepts to software developers building network technology models. The role requires extensive network operations experience, strong communication skills, and preferably scripting, programming, Ansible, and Git experience.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Provides Level 2 operational support for global WAN infrastructure in a 24/7 environment. Responsibilities include troubleshooting routers, links, and BGP routing; configuring Cisco and Juniper devices; monitoring infrastructure; resolving escalations; coordinating with ISPs and vendors; supporting outages, migrations, and upgrades; and preparing incident documentation and root cause analyses.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Develop and maintain automated API, integration, regression, performance, and database tests for anti-financial-crime systems. Validate data reconciliation, process flows, error handling, retries, and end-to-end integrations. Review requirements and designs, manage test data, integrate automation with CI/CD pipelines, support user acceptance testing, and provide production validation. The role requires strong Python, SQL, API automation, debugging, and Agile delivery skills, with Fenergo, KYC, AWS, and Pytest experience preferred.

Perform functional, integration, regression, and end-to-end testing for data and AI/ML applications. Validate data quality, transformations, ETL/ELT pipelines, model predictions, and data integrity using SQL and Python. Design test cases, automate testing, track defects, and collaborate with data engineers, data scientists, ML engineers, and development teams. Test model accuracy, performance, consistency, and reliability while supporting API, CI/CD, and data platform testing.

Supports the design, analysis, documentation, and testing of satellite payload structures, optical mounts, enclosures, electronic packages, and mechanical ground support equipment. Responsibilities include CAD modeling, engineering drawings, configuration documentation, structural analysis summaries, and review materials. The intern collaborates with optics, electronics, systems, and mechanical engineering teams while gaining exposure to vibration, thermal, modal, and space-qualification considerations.

Build and operate reliable AWS infrastructure and Kubernetes environments across production systems. Responsibilities include Terraform automation, CI/CD with GitHub Actions, Helm and Argo CD deployments, Docker management, observability, AWS networking, messaging and database infrastructure support, frontend delivery, scripting, incident response, and postmortems. The role emphasizes ownership, automation, production debugging, reliability engineering, and SLO, SLI, and error-budget practices.

Lead enterprise GIS architecture, delivery, migration, and integration for utility, telecom, and gas clients using GE Smallworld and ESRI platforms. Design scalable GIS solutions, migrate data to ESRI Utility Network, integrate GIS with enterprise systems, and provide technical leadership, governance, mentoring, and client engagement. Manage project scope, resources, risks, timelines, and deliverables while guiding development quality, infrastructure, security, DevOps, and continuous improvement initiatives.

The Engineering Manager will lead, mentor, and grow a team of engineers, driving delivery and improving processes for critical platform capabilities.

Build and maintain scalable backend services in Python and Go. Design distributed systems for performance, reliability, and scale; develop APIs, microservices, and cloud-native applications; collaborate with ML, infrastructure, and frontend teams; participate in code reviews and architectural planning; and solve complex systems problems.