Top Python Jobs in Bengaluru

Develop and maintain full-stack tools, APIs, frameworks, and integrations for enterprise workflow and network management applications. Customize workflow automation solutions, integrate front-end and back-end systems, implement automated testing, document technical practices, troubleshoot system bottlenecks, and mentor developers. The role involves geospatial systems, network operations, Agile collaboration, and technologies including Python, JavaScript, Docker, SQL, and cloud platforms.

Develop, customize, test, deploy, and maintain ESRI-based GIS applications. Integrate GIS solutions with enterprise databases and third-party systems, enhance existing applications, troubleshoot performance issues, conduct code reviews, and collaborate with stakeholders and cross-functional Agile project teams.

Leads QA automation strategy, framework development, test case design, and automated testing across functional, regression, API, performance, and UI areas. Integrates tests into CI/CD pipelines, analyzes defects, validates databases and APIs, and collaborates with developers and clients to improve release quality. Mentors QA teams of five or more and supports testing across multiple domains.

Design, develop, and maintain enterprise tools, APIs, frameworks, and workflow automation systems across web and mobile platforms. Integrate front-end and back-end applications, resolve system bottlenecks, document technical practices, contribute to architecture decisions, and mentor software engineers. Collaborate with engineering and implementation teams in Agile/Scrum environments to deliver scalable solutions for enterprise customers in telecommunications, utilities, and related operational domains.

Design, develop, test, deploy, and optimize highly scalable backend systems and RESTful services. Conduct code and design reviews, translate business requirements into technical solutions, collaborate with product and cross-functional teams, manage delivery risks and dependencies, and improve performance, reliability, and code quality. The role requires ownership of high-volume distributed applications, capacity planning, release execution, data modeling, and continuous learning.

Lead the architecture, delivery, security, reliability, and optimization of large-scale AWS cloud infrastructure. Mentor DevOps and platform engineers, drive AI-enabled automation, establish CI/CD and SRE practices, coordinate platform roadmaps across teams, and lead incident response and post-mortems. The role also owns infrastructure design, observability, capacity planning, performance tuning, cost optimization, compliance, deployment velocity, and developer experience improvements.

Design and deliver scalable, reliable, secure, and fault-tolerant distributed systems. Provide technical leadership, mentor engineers, conduct code and design reviews, and partner with product and cross-functional teams on feature delivery. Translate business requirements into extensible designs, manage dependencies and stakeholder communication, optimize performance and capacity, and maintain high-quality backend services handling high-volume traffic.

Lead the architecture and implementation of high-volume distributed payment systems spanning settlement, ledgers, treasury, fraud, AML, and stablecoin infrastructure. Establish engineering standards, solve scalability and reliability challenges, promote AI-assisted development, evaluate AI-driven product opportunities, collaborate across business and engineering teams, and mentor senior technical leaders.

Build and support scalable backend applications and enterprise software using Python, REST APIs, microservices, relational databases, cloud platforms, and modern deployment practices. Design reliable, observable, performant, and cost-efficient systems; collaborate with product management and distributed teams; contribute to technical decisions; and support production services. Experience with LLMs, generative AI, retrieval-augmented generation, vector databases, AI agents, Kubernetes, infrastructure as code, and observability is preferred.

Own end-to-end network implementation delivery for multiple customer engagements, translating high-level designs into detailed low-level designs, coordinating kickoffs, sequencing parallel projects, and driving deployment automation. Conduct customer workshops, onsite stakeholder reviews, and CSAT meetings. Improve design templates, runbooks, and operating procedures. The role requires extensive network and security implementation experience across firewalls, Wi-Fi, NAC, SD-WAN, and switching platforms.

Operate and evolve CDN infrastructure across bare-metal edge servers, Kubernetes control planes, CI/CD, observability, data pipelines, and cloud infrastructure. Responsibilities include configuration management, Helm deployments, GitHub Actions pipelines, Prometheus and Grafana monitoring, ClickHouse performance tuning, Terraform-based provisioning, and troubleshooting DNS, BGP, routing, TCP/IP, kernel, and application issues.

Design and develop backend systems, focusing on microservices and collaboration with cross-functional teams, ensuring high performance and reliability.

The Staff Engineer will design, develop, and maintain backend systems, collaborating closely with teams, troubleshooting issues, and mentoring junior developers.

Design, build, and maintain scalable backend systems, APIs, and database architectures for a fintech platform. Collaborate with frontend and product teams, ensure security and performance, troubleshoot production issues, participate in code reviews, and implement microservices, testing, and CI/CD practices.

Design and implement low-latency execution algorithms, exchange simulators, SOR, tick-level backtests, market-impact and forecasting models, and high-performance trading infrastructure. Collaborate with global quants and traders to optimize system performance across application, OS, and hardware layers.

Design, build, and optimize ultra-low-latency trading systems, execution algorithms, exchange simulators, and market-data adaptors. Own C++-based infrastructure, improve performance across application/OS/hardware layers, collaborate with quants and traders, and extend systems for new asset classes.

As a Quantitative Data Engineer, you will develop robust data pipelines, optimize database schemas, and maintain key infrastructure for algorithmic trading systems, working closely with quantitative researchers and trading teams.

Develop and maintain full‑stack applications using Python and React; design and implement RESTful APIs and backend services; build and optimize data pipelines on AWS; create and manage infrastructure with AWS CloudFormation.

The Senior QA Engineer will design test strategies, perform manual and automation testing, and ensure application quality through collaboration and automated testing frameworks.

The job involves designing, developing, and maintaining Python web applications using Django, AWS services, and microservices architecture while collaborating with cross-functional teams and applying software design best practices.

As a Back-End Developer at ConverseNow, you'll build and maintain server stacks using Python or Golang, develop APIs, and collaborate with teams on feature specifications.

The Engineering Manager will lead a team to enhance ZAGENO's product search platform, focusing on technical strategy, team development, and stakeholder management. Responsibilities include overseeing system architecture, improving search relevance, driving delivery excellence, and ensuring collaboration across teams.

Lead Kubernetes and GPU-focused infrastructure: drive FinOps and right‑sizing, optimize on‑prem GPU throughput, build tooling and dashboards for backend teams, ensure reliability instrumentation, and own selected platform security workstreams.

Build and own end-to-end full-stack features for real-time AI-assisted agent workflows. Implement React front-ends, Django/NestJS backends, scalable APIs, integrations with cloud and event-driven pipelines, and reusable components for customer-facing enterprise products.

Designs, develops, and integrates custom Zoho applications using Deluge, front-end widgets, Python, serverless services, APIs, and AI/LLM capabilities. The role configures workflows, automations, data pipelines, and analytics solutions across Zoho products; translates business requirements into scalable systems; supports documentation, QA, code reviews, CI/CD, and stakeholder coordination across India and Japan.