Top Python Jobs in Bangalore

Design, develop, test, implement, and support full-stack software solutions across Agile teams. Build cloud-based applications, collaborate with product managers, stay current with technology trends, mentor engineers, and use modern programming languages, databases, containers, orchestration platforms, and cloud services to deliver financial technology products.

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 verifies high-performance SRAM and memory IP at the transistor level, including bitcells, sense amplifiers, decoders, write drivers, and control logic. Performs PVT, Monte Carlo, parasitic-aware, power, and timing analysis; supports layout, testchip development, process integration, silicon characterization, and memory compiler development. Automates design and simulation workflows, creates specifications and verification plans, collaborates with foundry and partner teams, mentors engineers, and evaluates AI-assisted engineering workflows.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Lead DevOps architecture, automation, CI/CD, platform engineering, and operational support for Ericsson’s 4G and 5G products. Design cloud-native systems, improve reliability and release processes, manage automation assets, troubleshoot customer deployments, and support large-scale AI/ML, GenAI, RAG, agentic AI, and MLOps architectures.

Leads architecture and development of major SaaS platform areas, integrating AI and optimization models, improving performance and CI/CD, and resolving complex production issues. Collaborates with product, design, architecture, support, and professional services teams. Mentors engineers, makes technical decisions, and guides globally distributed agile teams while developing scalable microservices and customer-facing capabilities.

Learn and apply software engineering principles, participate in code reviews, contribute to software development, and collaborate with cross-functional teams to design and develop software solutions. The intern will gain exposure to multiple programming languages, tools, and technologies while building practical experience in an aerospace and defense environment.

Learn and apply software engineering principles, participate in code reviews, contribute to software development, and collaborate with cross-functional teams to design and develop software solutions. The intern will gain exposure to multiple programming languages, tools, and technologies while building practical aerospace software experience.

Lead development of full-stack Java applications for complex aviation systems. Provide technical leadership, develop and integrate software components, estimate and deliver sprint work, support backlog refinement, ensure quality and testability, manage risks and change requests, and evaluate technical prototypes. The role requires Java, modern web frameworks, message brokers, Azure, databases, testing, CI/CD, and Agile development experience.

Software engineering intern supporting real-world aerospace software projects. Responsibilities include learning engineering principles, participating in code reviews, contributing to development, collaborating with cross-functional teams, and gaining exposure to programming languages, tools, and technologies.

Senior Site Reliability Engineer responsible for improving cloud service reliability, performance, scalability, and cost efficiency. The role involves operating highly available distributed systems, building monitoring and alerting, creating runbooks, improving engineering processes, advocating for reliability practices, collaborating across platform and product teams, and mentoring engineers. The position requires extensive programming, public cloud, production operations, and communication experience, with GCP expertise strongly emphasized.

Own long-term technical architecture and build scalable core infrastructure and microservices supporting machine learning, frontend, and platform teams. Write production-grade code across the stack, drive distributed-systems performance and reliability, align engineering decisions with business outcomes, and deliver cross-functional initiatives. Mentor senior engineers, identify system and business gaps, make build-versus-buy decisions, and foster high-impact engineering practices.

Performs post-layout static timing analysis, signoff, and timing closure for high-speed memory interface IPs such as DDR PHY, ONFI PHY, and IO Expanders. Develops and validates timing constraints, Liberty and ETM models, SDF, and supports gate-level simulation. Uses Cadence Genus, Innovus, and Tempus with TCL or Python automation. Collaborates across design, synthesis, physical design, and verification teams to drive tapeout readiness.

Builds and operates reliable, scalable applications and cloud infrastructure for employee platforms. Responsibilities include infrastructure and configuration as code, CI/CD pipeline development, observability, SLO-based monitoring, incident triage, troubleshooting, and proactive reliability improvements. The role collaborates with software engineers and stakeholders, applies SRE best practices, validates enterprise-authorized AI recommendations, and mentors or guides teammates on reliability and operational excellence.

Designs and maintains production-grade ETL pipelines, backend microservices, APIs, infrastructure-as-code, and CI/CD systems. Uses PySpark, AWS, Java, Python, and lakehouse technologies to build scalable solutions, optimize data workflows, and support financial analytics. Responsibilities include testing, code reviews, production troubleshooting, root-cause resolution, AI-assisted engineering validation, security and resiliency compliance, stakeholder collaboration, and mentoring junior engineers.

Designs and systemizes 5G and 6G features across scheduling, physical layer, radio resource management, beamforming, massive MIMO, carrier aggregation, and spectrum sharing. Develops link- and network-level simulations, analyzes performance and verification results against operator KPIs, improves products and tools, and supports customer deployment and troubleshooting. Requires deep communications theory, DSP, LTE/NR 3GPP knowledge, and extensive telecom software development experience.

Leads test architecture and quality engineering for enterprise-scale distributed telecom systems. Responsibilities include developing test strategies, automation frameworks, CI/CD integration, performance and resilience testing, bottleneck analysis, monitoring, incident investigation, quality reporting, stakeholder collaboration, and mentoring test engineers. The role requires deep experience with CIS solutions, high-transaction environments, distributed systems, and large-scale performance engineering.

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.

Build backend services, data pipelines, attribution models, and internal applications for cloud cost and capacity management. Transform Google Cloud billing and monitoring data into queryable usage insights, allocate Kubernetes costs, support reservation planning, and prevent capacity shortages. Establish technical architecture, data models, and engineering standards while partnering with Finance, infrastructure teams, and service owners in a remote asynchronous environment.

Leads a team of software engineers developing secure, scalable financial technology solutions using Java and Python. Responsibilities include system design, coding, code review, testing, production support, troubleshooting, automation, AI-assisted engineering adoption, vendor evaluation, and maintaining application resiliency and security within an agile SDLC.

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 enterprise systems operations and platform reliability engineering initiatives. Advises senior leadership, resolves complex production reliability issues, applies SRE practices, establishes observability standards, and develops automation to reduce toil and improve availability, performance, resiliency, and MTTR. Partners across application, infrastructure, cloud, and support teams; leads post-mortems, technical debt remediation, capacity planning, and reliability improvements while mentoring engineers.

Leads systems operations engineering initiatives for enterprise RPA and workflow platforms. Provides technical consultation, plans systems and network infrastructure, evaluates complex support issues, approves technical enhancements, and advises engineering teams on change design and process controls. Supports UiPath, Power Platform, Alfresco, monitoring tools, messaging technologies, and Unix/Linux and Windows environments. Participates in rotational support covering APAC and UK shifts.

Lead the architecture, automation, performance optimization, troubleshooting, security hardening, and lifecycle management of enterprise-scale VMware VCF infrastructure across global data centers. The role engineers resilient virtualization platforms, evaluates server hardware, delivers zero-downtime changes, maintains infrastructure automation and CI/CD pipelines, documents operational standards, mentors engineers, and applies validated AI-assisted practices in secure, auditable workflows.

Develop and enhance full-stack AI/ML-powered security applications using the MERN stack and Python. Design, implement, test, debug, and integrate application components and services while improving code quality, performance, and reliability. Collaborate with engineering teams and development partners, contribute to CI/CD automation, and apply secure coding practices across cloud-based solutions involving machine learning and large language models.