Top Python Jobs in Bangalore

Leads and mentors a full-stack software engineering team developing Microsoft Fabric platform experiences. Collaborates with UX/UI designers, product managers, program managers, and engineers to deliver features, drive technical excellence, implement best practices, and maintain agile productivity. Manages project timelines, resources, and deliverables while ensuring successful software delivery.

Designs, develops, tests, deploys, and maintains scalable software applications, APIs, and microservices. Responsibilities include requirements analysis, technical design, coding, debugging, code reviews, automated testing, production support, and collaboration with product, architecture, QA, and engineering teams. The role follows Agile practices and contributes to secure, maintainable software and operational excellence.

Designs and maintains secure integrations between Databricks workspaces and MCP servers, exposing governed data and analytical tools to AI and LLM applications. The role optimizes retrieval, caching, and query performance; enforces Unity Catalog permissions and enterprise governance; collaborates with AI/ML engineers and data scientists; and implements monitoring, logging, and error handling for reliable middleware.

Develop scalable Python back-end components, improve application responsiveness and performance, write practical functional code, identify defects, and troubleshoot browser, mobile operating system, front-end UI, and navigation issues.

Build and modernize legacy data workflows into reliable, scalable Python pipelines in a cloud-based environment. Develop validated, memory-aware transformations using pandas, SQL, Parquet, and structured configurations. Responsibilities include handling data quality edge cases, profiling and optimizing performance, writing reusable and tested code, documenting workflows, maintaining backward compatibility, and creating lightweight Streamlit interfaces and integrations with Google APIs and Tableau.

Leads backend software engineering across the full SDLC, architecting scalable Java systems, REST APIs, and microservices. Provides technical guidance, advises management, mentors engineers, and drives best practices for distributed, cloud-native applications. The role requires strong analytical ability, performance optimization experience, and expertise with Java EE, Spring MVC or Hibernate, Docker, Kubernetes, and cloud platforms.

Build optimization models using Linear Programming and Mixed Integer Programming. Develop solutions with commercial solvers such as Gurobi, FICO Xpress, or IBM CPLEX, using Python or another programming language and basic SQL. The role also requires technical communication, ambiguity resolution, consensus building, and influence in technical decisions. A bachelor’s degree in IT or a related field and 2–3 years of operations research experience are required.

Build and maintain scalable AWS infrastructure, Kubernetes workloads, Infrastructure as Code, CI/CD pipelines, and observability platforms. Develop automation, internal CLI tools, and AI-assisted workflows while improving security, reliability, cost efficiency, and availability. Partner cross-functionally with Security, Engineering, Infrastructure, and Support teams, participate in code reviews, document operational procedures, and support platform adoption. The role requires strong Python software engineering skills and independent ownership of infrastructure projects.

Provides 24/7 operational support for AWS, Azure, OpenShift, and Kubernetes environments. Responsibilities include monitoring, incident and production support, platform administration, governance and compliance, backup and disaster recovery, patch management, resource hygiene, and automation. The role uses Dynatrace, Splunk, ServiceNow, Terraform, PowerShell, and Python to improve cloud reliability, security, availability, and operational efficiency.

Owns SoC-level signoff timing analysis and convergence within physical design. Responsibilities include timing ECO delivery, GLS enablement, MCMM STA, timing-margin definition, PPAS optimization, dashboard development, IP and library reuse, and cross-team signoff collaboration. The role also develops automated STA flows using TCL, Python, and Perl, supports advanced process nodes and DFT timing analysis, and drives shift-left methodologies for predictable semiconductor design closure.

Perform end-to-end system verification of Ericsson 5G RAN solutions, including capacity, performance, scalability, mobility, and high-load traffic testing. Analyze logs, traces, KPIs, and protocol-layer behavior; troubleshoot PHY/MAC/RLC/PDCP/IP issues and identify root causes. Support feature integration, test automation, verification frameworks, and CI/CD improvements. Collaborate with development, integration, CI, and product teams while applying modern and AI-assisted verification methods.

Lead Oracle Integration Cloud Gen 3 development, architecture, migration, and monitoring. Build API-led integrations, AI agents, native RPA bots, and hybrid automation workflows across Oracle Fusion and other systems. Develop complex data transformations, orchestrate REST and SOAP services, integrate UiPath where needed, and implement document understanding, exception handling, observability, and secure on-premise connectivity. Partner with business stakeholders and independently lead automation and migration initiatives.

Develop, test, deploy, troubleshoot, and optimize Logstash pipelines and Grok parsers for high-volume security and infrastructure logs. Normalize events to ECS or SIEM schemas, resolve parsing and ingestion issues, diagnose Elasticsearch mapping errors, and ensure reliable, lossless pipeline performance. Conduct regression testing, root-cause analysis, production stabilization, documentation, and L2 support while mentoring junior engineers and coordinating with SOC, integration, product, and engineering teams.

The Software Quality Engineer designs, executes, and reports functional, system, integration, regression, black-box, and gray-box testing for software, firmware, IoT devices, and cloud solutions. Responsibilities include developing automated tests with Python, maintaining test plans and cases, troubleshooting defects, analyzing logs and network traces, and collaborating with engineering, product, and program teams. The role requires experience with embedded Linux or RTOS, networking protocols, mobile app testing, test management tools, and hardware testing.

Own DevOps and Azure cloud infrastructure strategy for enterprise digital platforms. Design secure, scalable environments using Infrastructure as Code, lead CI/CD and deployment modernization, govern software releases, establish monitoring and operational standards, and partner with engineering and business teams on integrations, data flows, architecture documentation, and platform reliability.

Configure, develop, optimize, and maintain Siemens Teamcenter X SaaS environments using BMIDE, workflows, Active Workspace, and upgrade-safe OOTB practices. Manage minor data migrations with Siemens tools, coordinate regression testing, perform Level 3 support, resolve defects, support deployments, and maintain technical documentation. Collaborate with architects, integration teams, testing groups, Siemens support, and business stakeholders. Polarion ALM development and integration experience is advantageous.

Leads the design, development, and deployment of scalable, high-performance software systems and services. Drives complex feature delivery, architectural decisions, code quality, production troubleshooting, and engineering best practices. Collaborates with architects and senior engineers, mentors junior team members, conducts code reviews, and improves team effectiveness across cloud-native platforms.

Leads the design, development, and deployment of scalable, high-performance software systems and services. Drives feature development, architectural decisions, code quality, performance optimization, and production issue resolution. Collaborates with architects and senior engineers, mentors junior developers, conducts code reviews, establishes engineering standards, and promotes best practices across the team.

Leads the design, development, and deployment of scalable, high-performance software systems and services. Drives complex feature delivery, contributes to architecture and technical strategy, resolves production and development bottlenecks, and promotes engineering standards through code reviews and best practices. Mentors junior engineers, improves team effectiveness, and applies distributed systems, cloud-native, microservices, containerization, cloud platforms, and AI-assisted development tools.

Leads quality engineering for complex software products by creating test strategies, developing automated frameworks, executing manual and automated tests, and validating APIs, databases, integrations, and distributed systems. Partners with engineering and product teams on defect analysis, release certification, CI/CD quality practices, metrics, and continuous improvement. Mentors test engineers and drives quality standards across Agile development lifecycles.

Build and own automated quality engineering for Tekion’s AI Platform, including APIs, SDKs, data and feature pipelines, model serving, deployment, LLM gateways, and vector stores. Design regression, performance, scalability, reconciliation, and reliability testing; validate ML data flows and platform SLOs; develop evaluation frameworks; use LLMs to accelerate test creation; and lead root-cause analysis and preventive improvements across platform and infrastructure teams.

Leads the design, development, and deployment of scalable, high-performance software systems. Drives features from concept through production, contributes to architecture and technical strategy, mentors junior engineers, conducts code reviews, establishes engineering standards, and resolves performance and production issues. Collaborates with architects and senior engineers to deliver maintainable, production-grade software across cloud-native platforms.

Leads the design, development, deployment, and optimization of scalable software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates with senior technical stakeholders, and improves team effectiveness across cloud-native platforms.

Leads the design, implementation, maintenance, and optimization of enterprise IT systems across macOS and Windows environments. Owns endpoint management, device compliance, MDM policies, provisioning, access lifecycle automation, platform migrations, security hardening, root cause analysis, documentation, and audit readiness. Partners with cybersecurity, infrastructure, and application teams, mentors junior engineers, and independently drives complex systems engineering initiatives.

Designs, executes, and maintains manual and automated tests for functional, regression, integration, API, database, and end-to-end testing. Analyzes requirements, tracks defects, validates releases, improves test coverage and QA processes, and collaborates with engineering, product, and DevOps teams in an Agile environment. The role also maintains test documentation, supports automation frameworks, participates in release activities, and mentors junior test engineers.