Top Python Jobs in Bangalore

As a Sr Backline Engineer, you will troubleshoot Apache Spark issues, provide guidance on best practices, support customer escalations, and coordinate with engineering teams.

Responsible for the technical aspects of EMS and GMS products, including modeling, analysis, design, testing, and customer support.

Looking for a Senior Software Engineer to develop and support visualization applications using DICOM standards in medical imaging, with customer interaction and collaboration across teams.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.

The Technical Lead will oversee FPGA verification, provide strategic coaching on SV-UVM, lead complex verification activities, and ensure compliance with DO-254 for certification.

The role involves designing and developing Varicent-based software solutions, analyzing business requirements, mentoring junior engineers, and ensuring high-quality code delivery.

The Principal Engineer will design high-performance analog/mixed-signal IP, leading implementations and collaborating across teams, while providing technical leadership and validation support.

The Principal DFT Engineer leads the design and deployment of DFT architectures for complex SoCs, optimizing testing strategies and integrating DFT into various design flows while mentoring engineers and authoring documentation.

Lead architectural evaluations for AI SoC designs, document micro-architectures, verify designs, mentor engineers, and drive silicon validation.

The Lead Software Engineer will architect, design, code and debug software solutions, develop prototypes and ensure compliance with regulatory standards while collaborating with cross-functional teams.

Responsible for managing complex technical incidents in managed services across multiple technology domains, ensuring SLA compliance, and mentoring junior team members.

Design, develop, and maintain enterprise-scale .NET and Python applications; architect cloud-native microservices and RESTful APIs; deploy and scale on Azure and/or AWS; support CI/CD and DevOps; participate in design reviews, code reviews, troubleshooting, and drive performance, security, and reliability improvements.

As a Systems Engineer, you'll manage productivity tools, integrate AI, support global communications, enforce governance standards, and automate processes.

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 maintain scalable infrastructure and reusable IaC for a high-traffic e-commerce platform. Implement cloud security, secrets management, centralized logging and metrics, container onboarding, and monitoring. Mentor junior engineers, improve MTTR, enable HA and disaster recovery, and collaborate with application teams to provision and manage infrastructure.

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.

Lead design-for-test (DFT) architecture and implementation for SoCs, including ATPG, MBIST, LBIST and analog test solutions. Develop and validate test patterns, optimize test time and manufacturing efficiency, integrate DFT across silicon development, analyze test performance data, and document reusable DFT flows and test IP.

As a Senior Data Platform Engineer, you'll build and scale OpenGov's data infrastructure, lead ELT/ETL implementation, and ensure data governance, security, and observability while collaborating across teams.

As a Senior Software Engineer, you will design and build high-performance backend services, ensuring operational readiness and improving processes for a data streaming platform.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

The Staff Software Engineer will architect and implement software solutions, mentor team members, and ensure compliance with standards in the life sciences field.

Lead design and implementation of a scalable data platform: build semantic models, optimize query performance, enable data sharing, engineer ETL/streaming pipelines, enforce observability and testing, and participate in on-call operations.

Design, develop, test, deploy and support Workday and third-party integrations (inbound/outbound). Monitor integration health, troubleshoot failures, produce technical specs and reports, lead integration projects, participate in release testing, and collaborate with stakeholders to align on enterprise systems strategy.

Design, build, and maintain enterprise integrations and automation using Workato (primary) and MuleSoft. Architect REST/SOAP APIs, develop connectors, monitor integrations, implement error handling, integrate AI/ML APIs for enrichment, lead integration projects, produce documentation, and support cross-functional stakeholders across Finance, HR, and Operations.

Lead and grow an 8–12 engineer team to deliver scalable, reliable SaaS systems. Manage hiring, performance, sprint planning, architecture reviews, CI/CD, observability, and technical debt reduction. Partner with Product, Design, QA, and DevOps to prioritize roadmap items and drive engineering best practices, operational excellence, and continuous improvement.