Top Python Jobs in Bangalore

Develops, tests, troubleshoots, and maintains secure, scalable full-stack software for hedge fund applications. The role involves writing high-quality code, analyzing data, supporting system design, participating across the software development lifecycle, and applying agile, CI/CD, resiliency, security, and AI-assisted development practices. Preferred technologies include Java, Spring Boot, ReactJS or Angular, Python, cloud platforms, and relational databases such as SQL Server and Oracle.

Design, develop, test, and maintain cloud-native storage ecosystem software, including Kubernetes integrations, storage automation, APIs, and management services. Analyze requirements, contribute to architecture and code reviews, resolve defects, and drive CI/CD, observability, automation, and software quality initiatives. Collaborate with product, architecture, QA, DevOps, support, open-source communities, and partners. Lead feature development, mentor junior engineers, and use AI-assisted tools to improve engineering productivity and troubleshooting.

Provides senior-level production support and DevOps for RPA and intelligent automation solutions across Windows on-premises and Azure environments. Responsibilities include deployments, configuration, monitoring, incident and change management, troubleshooting, release management, infrastructure coordination, root-cause analysis, operational improvement, and technical leadership. The role collaborates with application, cloud, network, database, security, and infrastructure teams while mentoring others and establishing support standards.

Lead the design, development, automation, and reporting of integration and system tests across firmware, BMC, Linux device drivers, and hardware. Own test strategy, infrastructure, feature validation, debugging, bug triage, root-cause analysis, CI/CD automation, code reviews, and quality improvements. Collaborate with hardware, software, and QA teams, mentor junior engineers, drive corrective actions, and provide technical leadership for complex system software testing.

Build, design, test, deploy, maintain, and improve cloud software using distributed systems and cloud technologies. Manage project priorities, deadlines, and deliverables while collaborating on complex engineering initiatives. The role requires strong software engineering fundamentals, programming ability, problem-solving skills, and familiarity with cloud platforms, containers, Kubernetes, and microservice architectures.

Develop, deploy, and maintain cloud application modules for hybrid environments. Design and automate test plans, debug and deploy code, and collaborate on cloud, virtualization, containerization, and CI/CD solutions.

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Develops and maintains core storage system components, including data paths, metadata, protocols, and management services. Designs scalable distributed storage features focused on performance and reliability, debugs software, firmware, and hardware interactions, and collaborates across engineering teams. The role contributes to architecture, testing, validation, secure development, code reviews, documentation, and releases for HPC storage products supporting high-performance computing and AI workloads.

Designs and executes testing strategies for HPE storage offerings and integrated cloud solutions. The role validates integrations, analyzes results, debugs failures, drives defects to closure, documents test plans and outcomes, identifies coverage gaps, and collaborates with engineering, product, QA, and support teams. It also leads tester project teams, coordinates internal and outsourced partners, represents testing in complex development projects, and mentors junior engineers.

Leads quality engineering for enterprise storage platforms, covering hardware-software integration across firmware, drivers, and system software. Builds Python-based automation frameworks, performs system-level testing, debugging, root cause analysis, and customer issue resolution. Applies AI/ML and Generative AI for failure analysis, anomaly detection, test optimization, and workflow automation. Develops observability tools, improves reliability and scalability, collaborates across engineering teams, and mentors engineers.

Designs and maintains large-scale production infrastructure across Linux servers, virtual machines, hypervisors, and datacenters. Administers OpenStack and VMware environments, develops automation using Python, Go, and PowerShell, troubleshoots hardware and infrastructure issues, and participates in on-call incident response. The role also supports networking, configuration management, documentation, post-mortems, and AI-enabled workflow improvements.

Lead hands-on software development using Java and Spring Boot in large-scale, cloud-native environments. Responsibilities include building microservices and REST APIs, optimizing PostgreSQL and SQL performance, processing high-volume data, debugging across application and integration layers, and working with Docker, Kubernetes, Kafka, Agile, and DevOps teams. The role also involves documentation, testing support, code reviews, mentoring junior developers, and collaboration with architects and solution designers.

Own physical-aware synthesis flows and constraint development for high-performance, low-power ASIC and SoC designs. Drive floorplan-based netlist optimization, QoR closure, static timing analysis, formal equivalence checks, and tape-out readiness. Collaborate with RTL, place-and-route, DFT, and design teams on timing, congestion, power, and area optimization. Develop SDC constraints, manage technology library inputs, support MMMC timing closure, and provide RTL guidance for improved synthesizability.

Design and maintain AWS cloud infrastructure and cloud-native services supporting a 24/7 digital banking platform. Own applications, ensure compliance and documentation, improve AWS networking and third-party connectivity, maintain deployment pipelines, migrate CI/CD tooling, and support developer platform experience. Participate in on-call operations while prioritizing stability, scalability, security, performance, automation, and SDLC excellence.

Performs embedded software and system-level testing for automotive radar and ADAS technologies. Responsibilities include validating integration and system behavior, debugging with Lauterbach Trace32 and TI Debugger, testing CAN FD and Ethernet communications, developing CAPL automation scripts, and using CANoe, configuration-management tools, Jira, Codebeamer, and CI/CD pipelines. Requires knowledge of FMCW radar, RF, MMIC, automotive ADAS features, embedded systems, and software V-model testing.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

Build and maintain internal data application tools and data pipelines, implement key features, collaborate cross-functionally, and improve platform architecture for scalability, observability, and reliability while mentoring teammates.

As a Lead Product Developer, you'll build scalable backend systems, APIs, and microservices, instill software development best practices, and lead an engineering team.

Develops and supports secure, scalable Salesforce solutions for Asset and Wealth Management. Responsibilities include designing and coding Apex, LWC, Aura Components, integrations, triggers, asynchronous processes, and platform events; administering Salesforce configuration; implementing Sales and Service Cloud capabilities including Agentforce; producing architecture artifacts; analyzing data; and improving system quality, resiliency, security, and automation through Agile and CI/CD practices.

Develop and test Ericsson cloud-native infrastructure products supporting 5G networks. Responsibilities include requirements analysis, application design, software development, test automation, feature and module design, and AI-enabled workflow integration. The role uses Agile practices and technologies including Go, Python, Kubernetes, Helm, Docker, microservices, REST APIs, Robot Framework, Linux, Git, and AI/ML tools.

Develop cloud-native infrastructure products for Ericsson’s 5G portfolio, including requirements analysis, application design, software development, test automation, and AI-enabled workflows. The role requires building microservices and REST APIs with Go and Python, using Kubernetes, Helm, and Docker. Responsibilities include integrating LLMs, ML models, and intelligent agents; designing features aligned with architecture guidelines; and working with Agile development tools and open-source technologies.

Lead backend development of cloud-native, scalable Python services; architect systems, mentor developers, run code reviews, collaborate with cross-functional teams, implement CI/CD and automated testing, and apply ML/data libraries and cloud/container technologies.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Leads software engineering teams building Python and generative AI automation, governing application risk and compliance, and operating resilient production services. Responsibilities include Kubernetes and cloud architecture, data pipelines, observability, CI/CD, SRE practices, incident management, security, AI-assisted engineering adoption, and cross-team execution. The role also establishes service-level objectives, error budgets, and reliability improvements while coaching engineers and documenting organizational knowledge.

Staff backend engineer responsible for architecting, developing, scaling, deploying, and operating distributed services and APIs. The role emphasizes Kubernetes, cloud infrastructure, reliability, performance, incident response, root-cause analysis, and production support. The engineer will lead technical initiatives, make architectural decisions, troubleshoot complex systems, and apply AI-assisted engineering workflows to improve development velocity and operational efficiency.