Top Python Jobs in Bengaluru

Design, develop, and deploy customized Zoho solutions for enterprise clients. Gather requirements, build integrations using APIs and webhooks, troubleshoot technical issues, provide client training and support, monitor solution performance, and document technical workflows. Serve as the liaison between customers and internal engineering teams while managing multiple implementation projects and traveling as needed.

Support and improve Salesforce configurations, workflows, automations, data quality, documentation, governance, and business processes. Analyze system performance and root causes, assist with testing and controlled deployments, prepare reports, and provide user support and knowledge transfer. Collaborate with global stakeholders and gradually contribute to ServiceNow and NetSuite improvement initiatives.

Design, build, operate, and scale reliable cloud-native infrastructure for partner organizations. Manage Kubernetes clusters, CI/CD pipelines, observability platforms, infrastructure as code, and production incident response. Implement SRE practices including SLIs and SLOs, automate operational workflows using Go or Python, support 24/7 on-call coverage, and explore AI, AIOps, and GPU infrastructure. Contribute to technical documentation, presentations, and open-source projects.

Own Azure FinOps billing and commercial-model expertise across EA, MCA, CSP, and MSP estates. Design allocation, showback, chargeback, budgets, forecasting, anomaly detection, commitment attribution, and optimization capabilities. Reconcile usage with invoices, define billing and cost-data requirements, automate collection and normalization, validate savings claims, support customers, and mentor product, engineering, sales, and support teams.

Define and lead performance engineering strategy for enterprise-scale cloud-native applications. Establish performance requirements, workload models, testing standards, capacity plans, observability, and release criteria. Design load, stress, resilience, scalability, and endurance tests; analyze application, JVM, database, infrastructure, and cloud bottlenecks; and lead optimization and production incident investigations. Build automated performance frameworks and CI/CD quality gates, validate Kubernetes and cloud capacity, create monitoring dashboards, mentor engineers, and represent performance engineering in architecture and release reviews.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

Own the frontend architecture of Plane’s local-first, real-time client. Responsibilities include client-side state, synchronization, caching, offline behavior, conflict resolution, performance optimization, dense data views, collaborative editing, design systems, and engineering standards. Partner with product, design, and backend teams to deliver scalable features across work items, boards, and documents.

Build and manage Azure and hybrid-cloud CI/CD pipelines, Terraform and Ansible infrastructure automation, deployment strategies, self-service provisioning, auto-remediation, cost governance, and observability as code. The role also leads Azure environment planning, policy-as-code, DevSecOps controls, secrets management, monitoring integrations, compliance auditing, and operational toil reduction across multi-region platforms.

Designs and integrates adaptive optical systems for ground-based space surveillance. Responsibilities include translating mission needs into optical requirements, evaluating adaptive optics architectures, designing relay optics, deriving sensor and actuator requirements, performing tolerance and wavefront-error analyses, defining alignment and testing methods, supporting closed-loop control implementation, laboratory characterization, field testing, telescope commissioning, and documenting designs, interfaces, calibration procedures, and test plans.

Design and deliver production-ready data and AI platform solutions for enterprise customers. Integrate open-source and proprietary components using Kubernetes, Helm, cloud infrastructure, CI/CD, and infrastructure as code. Serve as the technical advisor for assigned accounts, resolve complex platform issues, influence product direction, translate customer requirements into scalable systems, and identify account expansion opportunities.

Troubleshoot, diagnose, maintain, and update software applications; resolve technical issues within SLA requirements; escalate unresolved problems; report bugs and customer feedback; gather requirements; configure client instances during onboarding; and document technical solutions, known issues, and best practices.

Own end-to-end quality assurance for an AI-powered ecommerce platform. Design and execute test plans across frontend, backend, mobile, APIs, and AI features; build and maintain automated UI, API, performance, and CI-integrated testing frameworks; conduct functional, regression, exploratory, and usability testing; track bugs and regressions; define acceptance criteria; and collaborate with product and engineering teams to deliver reliable releases.

Build and own modular, node-based workflows powering ecommerce operations and AI agent interactions. Integrate APIs, data systems, and third-party services; debug, audit, refactor, document, and monitor live workflows. Create admin interfaces and workflow health tools, collaborate with product, design, and AI/ML teams, and deliver automation for onboarding, content, personalization, and fulfillment. The role requires strong JavaScript and TypeScript skills, Python scripting, workflow-builder experience, API integration expertise, and disciplined systems thinking.

Owns the design, development, scaling, and reliability of backend services supporting AI pipelines, ecommerce tools, user journeys, and real-time analytics. Responsibilities include building REST and GraphQL APIs, optimizing databases and caching, implementing monitoring and fault tolerance, managing cloud infrastructure, troubleshooting production issues, participating in code reviews, and collaborating with product and AI teams.

Own the overall software architecture and guide scalable, secure, reliable system design across frontend, backend, APIs, data, and infrastructure. Remain hands-on with development, code reviews, and complex troubleshooting. Lead DevOps, CI/CD, cloud infrastructure, observability, automation, and disaster recovery. Partner with product and business stakeholders on technical planning and roadmaps while mentoring engineers and supporting team growth.

Build and ship end-to-end features for a compliance orchestration platform, including REST APIs, microservices, data pipelines, vendor integrations, case management workflows, and customer-facing tools. Responsibilities include writing tested code, debugging production issues, optimizing reliability and cost, implementing observability, and collaborating with product, compliance, and customer success teams.

Build and scale AiPrise’s compliance orchestration platform, including backend APIs, microservices, data pipelines, vendor integrations, case management workflows, and customer-facing tools. Own features from requirements through deployment, monitoring, and iteration. Improve reliability, performance, observability, and cost efficiency; debug production issues; contribute to architecture and engineering practices; collaborate cross-functionally; and mentor junior engineers.

Design, build, and own scalable backend systems, APIs, verification workflows, and data orchestration features. Drive architecture, reliability, security, monitoring, and end-to-end delivery of complex initiatives. Mentor engineers, participate in on-call and incident response, collaborate across product and customer-facing teams, and contribute to AI-powered fraud detection, document intelligence, anomaly detection, and developer productivity improvements.

Lead technical decisions in cloud architecture and DevOps at SPAN, focusing on problem-solving, system scalability, and mentoring. Drive platform-first strategies and ensure system reliability and quality across cloud technologies.

The role involves solving complex technical challenges in integrating hardware and cloud systems, leading system architecture, ensuring scalability, and providing technical mentorship.

Design, implement, test, and maintain kernel-level C/C++ networking software. Work on L2-L4 protocols (BFD, SCTP, IPv4/6, IPSec), IPC, 6wind, module tests and automation. Use tools like GDB, Wireshark, Coverity, and SVN. Participate in SDLC, Scrum, and project management tasks.

Designs and maintains CI/CD pipelines, cloud infrastructure, container orchestration, monitoring, logging, and infrastructure-as-code systems. The role uses AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, Grafana, Loki, and Python to automate deployments and improve reliability. Responsibilities include implementing serverless and event-driven architectures, troubleshooting infrastructure issues, supporting scalability and performance, maintaining high availability, and applying security best practices while collaborating with development and operations teams.

Own and scale AWS production infrastructure, improve CI/CD automation, lead incident response and RCA reporting, strengthen security and observability, manage cloud costs, and build cross-region disaster recovery and failover capabilities. The role requires operating Kubernetes clusters, Terraform infrastructure, monitoring and logging platforms, database and messaging systems, and cloud security controls.

Lead end-to-end utility GIS migrations from GE Smallworld to ESRI Utility Network. Responsibilities include schema mapping, migration strategy design, topology and connectivity migration, ETL, data validation, reconciliation, cutover and rollback planning, and production quality checks. The role also develops Python and ArcPy automation frameworks, optimizes spatial database queries, supports ArcGIS deployments, and collaborates with stakeholders on utility modernization programs.

Develop and maintain full-stack tools, APIs, frameworks, workflow automation, and network management applications across web and mobile platforms. Integrate front-end and back-end systems, improve developer workflows, resolve system bottlenecks, implement automated testing, document technical practices, and mentor developers. The role involves geospatial systems, enterprise integrations, Agile collaboration, and support for telecommunications and utility network operations.