Top Python Jobs in Bangalore

Lead full-custom analog and mixed-signal layout from floor planning through tape-out across advanced FinFET and planar CMOS nodes. Own matching, symmetry, noise isolation, power planning, yield, reliability, DFM, and signoff verification. Collaborate with circuit, CAD, and foundry teams, mentor layout engineers, develop reusable methodologies, and create AI-assisted layout and verification solutions using Python, scripting, and EDA automation.

Develop and maintain scalable Python backend services and React.js interfaces within an AWS microservices environment. Design reusable components, optimize application performance, conduct code reviews, and collaborate with product, design, and engineering stakeholders. Use enterprise-authorized AI-assisted development tools responsibly for coding, testing, documentation, and automation while validating security and quality. Translate business requirements into technical solutions and stay current with full-stack engineering practices.

Leads hands-on development of secure, scalable Python applications using AWS and modern cloud-native technologies. Owns architecture, design reviews, code quality, CI/CD, production delivery, and reliability in partnership with SRE teams. Integrates AI and machine learning solutions, evaluates development tools, and promotes AI-assisted engineering practices. Manages a small engineering team while establishing technical standards and collaborating across systems teams.

Leads software engineering for secure, scalable financial technology applications. Responsibilities include designing, developing, testing, reviewing, debugging, and troubleshooting production code; improving automation, continuous delivery, and operational stability; implementing AI-assisted engineering practices; and evaluating vendor and internal architectural solutions. Requires Python, AWS cloud, software development lifecycle, data or machine-learning pipelines, and technical leadership experience, with preferred expertise in Terraform, Kubernetes, Docker, Kafka, MLOps, and LLMOps.

The Senior Wireless/Automation QA Engineer will develop and execute software test strategies, analyze test standards, validate wireless technologies, and mentor junior engineers.

Design, develop, and test networking solutions with emphasis on reliability and performance. Conduct end-to-end QA testing using routers, switches, and virtual networking environments; identify and troubleshoot issues; and contribute to technical architecture decisions. Collaborate with engineering managers and cross-functional stakeholders to resolve customer problems and deliver technical initiatives. Requires Python development, Unix expertise, networking fundamentals, and hands-on network testing experience.

Provides customer-facing WLAN consulting and engineering services for Aruba solutions, including network planning, design, implementation, migration, optimization, troubleshooting, and security improvement. Develops technical documentation, simulates designs in labs, supports customer reviews and training, and collaborates with engineering and field teams. Requires strong wireless, networking, authentication, VoIP, and Aruba product expertise, along with customer-site travel.

Administer, operate, support, and enhance Cargill’s self-service analytics platforms, including Power BI, Tableau, and KNIME. Maintain Windows and Linux infrastructure, automate administration, manage authentication and access, and build monitoring, logging, and reporting capabilities. Provide Tier 2+ and on-call support, resolve platform issues, document systems, improve resiliency and performance, and coordinate multidisciplinary teams. The role also supports cloud infrastructure, networking, deployment automation, configuration management, and globally distributed analytics services.

Provides hands-on technical leadership for enterprise applications and AI-enabled solutions. Designs full-stack systems, REST APIs, cloud-native services, reusable AI lifecycle utilities, and scalable architectures. Leads projects through development, testing, deployment, and production support while promoting DevOps, automation, security, observability, and performance practices. Mentors engineers, removes technical roadblocks, collaborates cross-functionally, and evaluates emerging technologies.

Design and develop Java full-stack applications, cloud-native microservices, REST and streaming APIs, and AI-driven LLM capabilities. Build workflow orchestration with Camunda and deploy services on AWS using technologies such as Lambda and ECS. Improve production stability through automation, observability, resiliency, and secure engineering practices. Collaborate within an Agile team and use authorized AI-assisted development tools responsibly while validating generated outputs.

Lead DevOps and platform engineering for AWS-based SaaS products. Define delivery and operational standards, modernize applications, build CI/CD platforms with GitHub Actions and Jenkins, and manage AWS, Kubernetes, Terraform, Docker, Helm, and GitOps environments. Improve observability, security, developer experience, and deployment reliability while mentoring engineers. Drive responsible adoption of AI-assisted engineering, support AI workloads on AWS, and establish governance for AI agents operating in cloud infrastructure.

Design, build, and operate internal developer platform capabilities supporting game development teams. Responsibilities include CI/CD, infrastructure, environments, observability, shared services, distributed systems, automation, reliability, monitoring, SLIs/SLOs, on-call support, and platform strategy. The role partners with cross-functional teams to improve developer experience, resolve workflow friction, and deliver scalable solutions.

Designs, develops, tests, refactors, and maintains large-scale cloud security software. Partners with Product Management on requirements, collaborates with security, UI, platform, analytics, and QA teams, and resolves complex customer issues. The role requires expertise in Python, Golang, or C/C++, public cloud infrastructure, cloud networking, firewalls, networking protocols, distributed systems, SaaS, and identity management, with foundational AI/ML knowledge.

Leads reliability and systems operations for large-scale production environments. Owns availability, performance, scalability, observability, SLOs, capacity planning, disaster recovery, incident response, and root-cause analysis. Designs Grafana, Prometheus, and Splunk monitoring solutions; develops Python automation and self-healing workflows; applies AI/ML for AIOps; and partners with platform, cloud, application, and SRE teams. Provides technical leadership, establishes operational standards, mentors engineers, and ensures security, compliance, and resilience requirements are met.

Leads enterprise data engineering teams and managers, overseeing software development, architecture alignment, cloud modernization, security, scalability, risk management, and delivery. Partners with architects, product leaders, vendors, and senior stakeholders to shape technical strategy and roadmaps. Coaches engineers, conducts design and code reviews, removes delivery impediments, manages budgets and staffing, and builds engineering talent and accountability within a regulated financial-services environment.

Design, develop, configure, integrate, test, deploy, and operate scalable Salesforce solutions. Translate business requirements into platform designs, data models, APIs, automations, and secure integrations. Lead technical reviews, code quality, observability, incident response, release management, and continuous improvement while collaborating across product, architecture, data, cloud, and engineering teams. Apply AI and machine learning concepts to safely support Salesforce-enabled products and workflows.

Develop and maintain Python applications, APIs, automation scripts, and data-processing solutions. Support Azure or AWS deployments, CI/CD pipelines, MLOps and AI solution lifecycles, testing, production releases, monitoring, troubleshooting, documentation, and stakeholder collaboration across ERP, manufacturing, and supply chain operations.

Leads verification strategy, architecture, methodology, execution, debugging, and closure across RTL, analog mixed-signal, and transistor-level designs. Develops SystemVerilog and UVM environments, applies SPICE-based simulation, analyzes coverage, correlates simulations with silicon behavior, and drives automation using Python and AI-assisted tools. Collaborates across design, validation, product engineering, and CAD teams while mentoring engineers and leading strategic verification initiatives.

Leads end-to-end design, development, testing, and deployment of full-stack applications using Java or Python, React, and modern cloud-native technologies. Develops AI-powered solutions, REST APIs, and scalable microservices while managing CI/CD pipelines, containers, automated testing, monitoring, and observability. Collaborates with architects, product owners, and technical teams to deliver secure, resilient software and evaluate emerging technologies.

Develop and maintain scalable full-stack applications using Java, Spring Boot, React, Python, and AWS. Build cloud-native solutions, integrate generative AI and LLM capabilities, and use authorized AI development tools responsibly. Participate in design, code reviews, testing, troubleshooting, CI/CD, automation, and operational remediation. Collaborate with cross-functional teams, apply secure development practices, and guide peers in validating AI-generated outputs. The role requires experience with databases, messaging, containers, Kubernetes, and enterprise software development.

Deploys, administers, troubleshoots, and automates OpenStack and OpenShift cloud infrastructure. Manages Linux systems, Cinder storage services, CI/CD pipelines, automation scripts, monitoring, upgrades, patching, security remediation, incident resolution, and disaster recovery. Uses AI-assisted tools across the SDLC and collaborates with development, operations, networking, and storage teams to deliver scalable, reliable cloud platforms.

Lead a team delivering DevOps automation and solutions for Ericsson’s 4G and 5G customer environments. Responsibilities include performance monitoring, troubleshooting, platform management, system design, CI/CD automation, infrastructure and service lifecycle management, reliability improvements, customer deployments, and operational support. The role requires building scalable cloud-native systems, maintaining DevOps platforms, automating deployment of numerous services, and collaborating with development teams on testing, releases, security, and compliance.

Lead design and development of Grafana dashboards and end-to-end observability solutions (Grafana, Prometheus, Loki, Tempo). Build and optimize queries (PromQL, LogQL, SQL, Flux), design alerting and escalation, integrate multiple data sources, develop integrations and plugins, mentor junior engineers, tune performance, troubleshoot monitoring systems, and maintain documentation and standards.

Designs, implements, and maintains CI/CD pipelines, build infrastructure, shared systems, and Kubernetes-based container platforms. Automates infrastructure using Docker and Ansible, supports Linux and Windows environments, monitors reliability, applies security updates, manages storage and hardware needs, and participates in frontline tool support. The role also develops AI-powered automation, agents, and intelligent workflows using APIs, MCP, and modern development tools.

Designs and maintains build, release, and development infrastructure; automates packaging and deployment workflows; supports Git, Jenkins, Artifactory, JIRA, Docker, Ansible, and Kubernetes environments; and provides engineering tool support. The role also develops AI-powered automation, agents, and MCP/API integrations to improve productivity, administers shared services, and performs infrastructure refreshes and front-line support.