Top Python Developer Jobs in Bangalore

Develop and maintain data and ETL/ELT pipelines using SQL and Python. Work with Snowflake and AWS services (S3, Lambda, IAM, Step Functions, SNS, SQS, ECS, DynamoDB). Support data movement, and optionally contribute to DevOps/CI-CD, automation, and REST API integration.

Lead QA automation for high-performance networking fabric: define test strategies, design and execute system and automated tests for L2/L3 protocols (VLAN, LACP, routing, QoS), log and drive bug fixes, review and improve automation frameworks, mentor team members, and integrate new technologies (including AI) to raise productivity and quality.

Lead reliability, scalability, and operations for Kubernetes-based production and air-gapped deployments. Own installation, upgrades, observability, automation, incident response, performance tuning, and internal tooling using Python/Go. Collaborate with engineering and customers to design secure, scalable deployment architectures and manage infrastructure via Terraform and cloud platforms.

Design, build, and operate the Kubernetes-based core infrastructure for Nexus Dashboard. Lead cluster lifecycle management, reliability and observability, security and certificate management, and scalability efforts. Develop backup/restore, automated anomaly detection, and test plans. Collaborate with cross-functional teams to optimize performance and deploy microservices at scale using AI-assisted development and modern CI/CD practices.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

Design, build, and enhance scalable cloud-native backend systems. Integrate AI/ML features, develop RESTful APIs, work with microservices, Kubernetes, event-driven pipelines, and CI/CD to deliver secure, high-performance solutions.

Design, build, and maintain scalable backend and full-stack systems, integrate AI/ML features, implement microservices and real-time pipelines, ensure API security and performance, collaborate across product and UX teams, and participate in CI/CD and code quality practices.

Build and maintain the Kubernetes-based Nexus Dashboard platform: architect core infrastructure, manage cluster lifecycle and upgrades, implement reliability/observability, handle security and certificate lifecycle, optimize scalability and performance, and collaborate across teams to support high-scale data center microservices and telemetry stacks.

Lead solution-level testing and architect end-to-end UI, API, and integration automation for cloud/on-prem networking workflows. Build test frameworks, embed LLM/GenAI tooling into pipelines, simulate enterprise network topologies, drive CI/CD quality gates, triage defects, and mentor mid-level test engineers.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Senior Software Test Engineer responsible for testing VoIP communication applications, setting up and testing on virtual machines, writing and executing test cases, automation scripting (Python, Selenium, C#), network debugging using tools like Wireshark/Postman/OpenSSL, producing test and defect reports, and working with Windows/Linux deployments and Azure DevOps. Mobile testing and radio/LMR integration are advantageous.

Design, optimize, and maintain resilient backend services and database infrastructure. Develop automation and tooling in Python and Perl, build high-performance applications in Java/C++, administer Linux systems, troubleshoot performance issues, manage or interface with relational/in-memory databases, and use Git for collaboration.

The Backend Developer at Kyndryl will design, develop, and implement software solutions using Python and other technologies, focusing on quality, scaling, and innovation.

Design, develop, and maintain full-stack, scalable multidisciplinary optimization solutions using Python, FastAPI, React and cloud (AWS/OpenShift). Participate across the product lifecycle, migrate applications, integrate systems, deploy highly available services, define tests, and coordinate with stakeholders to ensure on-time delivery and product quality.

The Software Engineer will develop backend services, work with cloud infrastructure, build automation tools, and enhance system reliability while collaborating with various engineering teams.

Build, test, and maintain scalable, high-performance Python services for the healthcare domain. Write clean code, optimize performance and security, debug issues, collaborate with product owners, and document technical solutions.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

Lead design, implementation, and operation of Azure-based data and integration platforms. Build and optimize SQL data solutions, Databricks processing, Dagster orchestration, and Apache NiFi ingestion. Implement CI/CD and DevOps automation, oversee Agile delivery, lead technical reviews, troubleshoot production incidents, and engage stakeholders. Produce architecture, deployment, and runbook documentation while driving standards, reliability, security, and cost-efficient design.

Design, develop, integrate, validate, and maintain software and automation tools for broadband voice, video, and data products. Collaborate in Agile teams, automate workflows, perform system integration and testing, and produce user and technical documentation.

Senior Application Engineer responsible for end-to-end delivery of AI-backed features: building REST APIs, wiring frontends, integrating LLM components (prompting, streaming, fallbacks) on AWS Bedrock, ensuring CI/CD, observability, and mentoring junior engineers.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Develop and maintain Python-based APIs (FastAPI), work with core AWS services (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and collaborate in an Agile environment.