Top Python Jobs in Bangalore

Design, develop, test, deploy, and maintain cloud application modules. Implement CI/CD and Kubernetes orchestration, troubleshoot deployments, and collaborate with teams to deliver cloud-native solutions while adhering to security policies.

Design, deliver, and operate enterprise-scale integrations using Informatica Cloud (IDMC) with focus on CAI, CDI and API patterns. Define integration standards and architectures, lead technical teams, engage stakeholders, ensure SLAs and ITIL-based service operations, maintain compliance and documentation, troubleshoot incidents, and drive CI/CD automation and continuous improvement.

Design and build a greenfield configuration backend and high-scale telemetry pipeline: ingest, classify, aggregate, and surface insights. Implement reliable, observable, secure services and APIs in Go/Python. Collaborate with ML, endpoint, and frontend teams to deliver data for dashboards and models.

Design and support the data platform blueprint and components, collaborate with Integration and Data Architects, guide teams, enforce data governance, and deliver integrated data solutions leveraging Generative AI and cloud services.

Design, code, and enhance custom software components using modern frameworks and agile practices. Collaborate with cross-functional teams, maintain and optimize applications, document designs, and mentor junior engineers to ensure scalable, high-performance solutions that meet business requirements.

Design and develop scalable software frameworks for automated post-silicon validation. Implement register-level hardware/software interactions in C++, build automation in Python and Bash, debug software-to-hardware communication with hardware designers, and optimize validation software to reduce test cycle times.

As a Senior Developer, you'll design and develop software solutions for health and environmental outcomes, working with cloud technologies and cross-functional teams. Responsibilities include the full software development lifecycle, driving technical innovation, and supporting developer growth.

As a Database Administrator III, you'll design and implement scalable database solutions, manage security, support business initiatives, and automate processes.

The Data Platform Administrator manages and optimizes cloud data environments, ensuring compliance, assisting users, and automating processes while collaborating with teams.

The Lead Performance QA Engineer will build automated testing frameworks, analyze performance, implement AI performance optimizations, and collaborate across teams to enhance system performance. They will coach on best practices and monitor performance using various tools.

Looking for a Senior Software Test Engineer with experience in testing VoIP applications and a strong understanding of Windows and Linux OS, virtualization, and networking.

Responsible for developing and operating critical cloud infrastructure, implementing services and tools using Elastic Stack, Kubernetes, and ensuring platform reliability and security.

The Cloud FinOps Architect bridges financial goals and engineering execution, optimizing costs through technical governance, automation, and advising on architectural efficiencies for Motorola's cloud services.

The Senior QA Engineer creates and executes product test plans, assists Development in process improvements, tracks defects, and communicates with stakeholders to ensure product quality.

Design and implement backend services, APIs, and integrations for LoanIQ within an agile pod. Write maintainable Python/C#/.NET code, build unit tests, containerize and deploy with Docker/Kubernetes, work with Azure, databases, and integrate with LLM/ML systems. Participate in code reviews, technical specifications, and collaborate with front-end and stakeholders to ensure scalable, high-quality enterprise backend solutions.

Design, develop and maintain test automation frameworks and scripts across UI, API, database and mobile. Integrate automation into CI/CD, troubleshoot failures, mentor juniors, and collaborate with cross-functional teams to ensure high-quality releases.

Design, develop, test, and maintain software applications. Collaborate with cross-functional teams to gather requirements, lead coding for modules, troubleshoot complex issues, participate in code reviews, and contribute to architecture and design discussions.

The Verification Engineer designs, develops, and validates software frameworks for FPGA acceleration, collaborating with engineers to create and execute comprehensive verification strategies and test plans, utilizing various methodologies and tools.

The ProdOps Engineer 3 will develop scalable solutions, drive cloud and containerization strategies, and manage shift operations while ensuring system security and compliance.

The Performance Engineer 2 is responsible for deploying test instances, troubleshooting issues, developing performance tests, and monitoring application health in cloud environments using various tools and scripting languages.

The Engineering Manager - Data will lead the Data Engineering team, defining the technical vision, building data systems, and mentoring engineers while driving execution and strategic planning.

The Software Development Engineer In Test (SDET) will automate testing frameworks, set up CI/CD pipelines, and ensure quality for SaaS products.

Lead reliability, monitoring, and production support for cloud-based SaaS platforms. Implement observability, SLO/SLI frameworks, CI/CD and IaC automation, container orchestration, and security best practices. Drive incident management, RCA, disaster recovery, capacity planning, and cross-team collaboration to improve uptime, scalability, and cost efficiency.

Design, build, and operate production knowledge graphs: define schemas, manage schema versioning, implement provenance and concept linking, build idempotent ETL/streaming pipelines, author optimized Cypher/SPARQL/Gremlin queries, tune performance at scale, expose graph APIs, define retrieval quality benchmarks, and produce operational runbooks and handoff documentation.

The Senior Software Engineer will develop and maintain analytics solutions on GCP, supporting systems built on KDB+. Responsibilities include troubleshooting, developing data pipelines, and collaborating with teams to deliver analytics solutions.