Top Python Jobs in Bangalore

Develops physical designs for next-generation AI semiconductors, delivering signoff-quality chip layouts at advanced process nodes. Responsibilities include floorplanning, synthesis, placement and routing, clock-tree synthesis, timing analysis, logical equivalence, physical verification, flow enhancement, scripting, debugging, and PPA optimization. The engineer collaborates with RTL, verification, DFT, architecture, packaging, product engineering, foundries, and external support teams.

Develop, test, debug, document, and deploy software for low- to moderately complex technology initiatives. The role involves Java, Python, frontend frameworks, microservices, cloud platforms, DevOps tools, and generative AI technologies including LLMs, RAG, and AI agents. Responsibilities include improving service quality and availability, evaluating technical solutions, resolving issues, following secure coding and compliance practices, translating business requirements into technical solutions, and collaborating with stakeholders in an Agile environment.

Leads infrastructure architecture and engineering initiatives, including complex system design, upgrades, testing, troubleshooting, recovery improvement, cloud security, secrets management, and key rotation. Designs, codes, tests, debugs, and documents solutions while supporting risk controls and long-term remediation plans. The role requires broad platform, operating system, automation, monitoring, cloud, virtualization, storage, messaging, and database experience, plus participation in on-call and 16/7 operational coverage.

Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.

Designs, develops, and maintains cloud-native infrastructure and deployment automation. Responsibilities include Ansible and Python automation, AWS infrastructure, Kubernetes and GitOps management, Terraform provisioning, CI/CD pipelines, observability, security remediation, database and Linux administration, and production troubleshooting. The role collaborates with development and security teams to improve software delivery, reliability, scalability, and operational excellence across frontend, backend, and infrastructure systems.

Maintain and improve AWS cloud infrastructure supporting Chase UK’s 24/7 digital bank. Responsibilities include enhancing connectivity, security, performance, deployment pipelines, CI/CD tooling, developer platforms, and software delivery experience. The role involves using Bash, Python, and Go, supporting Kubernetes, databases, and Kafka, and participating in an on-call rotation.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans and automation frameworks, debugs NVMe and SAS issues, analyzes quality risks, and drives issue closure with cross-functional engineering teams and hyperscale customers. Applies AI and machine learning to test generation, failure analysis, anomaly detection, reporting, and predictive quality. Mentors engineers and leads complex validation programs.

Support and develop Ericsson cloud infrastructure products within the PLM team. Responsibilities include handling customer emergencies, troubleshooting and reproducing scenarios, preparing root-cause analyses, testing and delivering monthly releases, validating new features, supporting deployments, and driving product improvements with design teams. The role requires networking, virtualization, cloud, automation, product lifecycle management, AI tools, and extensive product support experience.

Leads multiple infrastructure engineering teams supporting Cisco telephony, VoIP, SIP networks, PBX environments, and related integrations. Provides technical direction, mentorship, staffing and budget input, stakeholder management, and delivery oversight aligned with compliance, security, resiliency, and service-level requirements. Establishes AI-assisted engineering workflows with validation, traceability, and auditability. Requires substantial expertise in telephony architecture, SBCs, SIP interoperability, networking protocols, scripting, monitoring, DevOps, and site reliability practices.

Leads the design, implementation, testing, maintenance, and troubleshooting of enterprise middleware and messaging infrastructure. Manages Solace PubSub+, IBM MQ, and Confluent Kafka platforms, including clustering, migrations, upgrades, security, certificates, monitoring, capacity planning, performance tuning, and disaster recovery. Develops automation with Python, Bash, and Ansible, supports cloud and OpenShift environments, coordinates vendor support, creates operational documentation, and ensures compliance, risk controls, and production reliability.

Own and administer the Theta Lake eComms archiving and surveillance platform, ensuring ingestion integrity, surveillance rule engineering, compliance readiness, and integrations. Design, build, deploy, and maintain infrastructure, troubleshoot outages and ingestion issues, produce audit evidence, and collaborate with vendors and stakeholders to meet regulatory and operational goals.

Leads software engineering initiatives involving DevOps pipeline development, CI/CD, automation, container platforms, infrastructure, observability, and production support. Designs, codes, tests, debugs, and documents solutions; resolves technical issues, leads root-cause analysis and incident response, supports onboarding, and guides less experienced engineers. The role requires collaboration with technical stakeholders, ownership of deliverables, and adherence to compliance and service-level requirements.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans, frameworks, and continuous validation solutions; debugs NVMe and PCIe issues; analyzes quality risks; and drives cross-functional issue resolution. Partners with hyperscale customers, leads complex programs, mentors engineers, and applies AI, machine learning, and generative AI to improve test coverage, failure analysis, reporting, and validation productivity.

Validate NAND-based SSD firmware and systems by creating test strategies, plans, cases, and automated frameworks. Test NVMe, PCIe, OCP Cloud SSD, performance, reliability, interoperability, endurance, and customer requirements. Debug issues with cross-functional engineering teams, analyze failures, track defects, support customer qualification, and drive root-cause resolution. Apply Python, AI-assisted tools, and data-driven techniques to improve validation coverage, efficiency, and product quality.

Validate firmware for enterprise and datacenter NVMe SSDs by defining test plans, designing test cases, developing Python test scripts, and integrating automated tests. Debug NVMe and PCIe protocol issues, execute whitebox and greybox testing, track defects and validation results, collaborate with firmware and product teams, validate fixes, communicate project status, and manage multiple validation initiatives with limited direction.

Designs and operates reliable CI/CD pipelines for enterprise SaaS applications including Salesforce and Zuora. Builds Python automation, deployment tooling, quality gates, rollback processes, environment promotion strategies, release observability, and governance controls. Troubleshoots deployment failures, supports compliance and auditability, documents release practices, and coaches engineering teams. Daily use of approved AI-assisted tools is required for DevOps, testing, troubleshooting, documentation, and automation.

As a Lead Software Engineer, you'll drive major transformations, develop full-stack solutions, and collaborate on ML and AI technologies while mentoring team members.

Lead and mentor engineering teams developing Flight Management System products. Collaborate with software and systems engineers on requirements, architecture, detailed design, risk mitigation, testing, troubleshooting, and technical decisions. Drive product and platform reuse strategies, prototypes, trade studies, competitive analysis, innovation, and patent development. Provide hands-on engineering support, promote cross-platform skills, and coordinate with global teams to deliver avionics solutions.

Lead end-to-end architecture for rApps in the CNS portfolio, defining scalable, secure cloud-native solutions. Drive design, integrations with EIC/EIAP, non-functional requirements, architecture reviews, mentor DevOps/SRE teams, manage technical risks and debt, and translate RAN automation and Non-RT RIC use cases into production-ready architectures.

Develop and maintain Python backend services for global trade structuring and risk tools. Lead full-lifecycle software development, participate in requirements gathering, propose technical solutions, and support production systems. Promote AI-assisted engineering practices with secure validation standards, automated testing, and governance. Collaborate with global teams, troubleshoot distributed applications, work with event-based architectures, and help expand platform adoption across development teams.

Architects, develops, integrates, and maintains SmartDX/Thunderhead document solutions for OTC derivatives and structured securitization. Builds XML, JSON, and XPath templates; automates workflows with Java and JavaScript; integrates REST/SOAP APIs; and partners across business, IT, DevOps, and cloud teams. Coordinates UAT, testing, CI/CD deployments, release management, troubleshooting, performance tuning, documentation, governance, and ongoing production support.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software systems. Owns architecture artifacts, CI/CD pipelines, progressive delivery, production stability, incident response, observability, resiliency, and root-cause analysis. Uses cloud platforms, monitoring tools, automation, and enterprise-approved AI coding assistants while validating outputs for correctness and security. Analyzes application data to identify patterns and improve code quality, system architecture, and operational effectiveness.

Designs, develops, tests, debugs, documents, and maintains software applications and systems. Collaborates with cross-functional teams to gather requirements, complete projects efficiently, and participate in code reviews. The role also emphasizes troubleshooting, software quality, innovation, and continuous learning.

Leads an agile software feature team while contributing hands-on to Python and Java development, microservices, REST and event-driven integrations, batch processing, testing, deployment, and production support. Establishes engineering standards for CI/CD, security, reliability, observability, and responsible AI-assisted development. Provides estimates, facilitates agile ceremonies, mentors engineers, manages stakeholders, and owns solutions throughout the full software lifecycle.

Leads enterprise systems operations across event, incident, change, and problem management. Serves as major incident commander, coordinates service restoration, improves monitoring and observability, analyzes operational trends, and drives corrective actions. Develops executive dashboards and operational reports, supports production-critical applications and infrastructure, identifies automation opportunities, and ensures governance compliance. Manages and mentors Event Management teams, allocates operational resources, and supports hiring, coaching, and talent development.