Top Python Jobs in Bangalore

Design, develop, and maintain scalable backend services, APIs, and cloud-native platform components. Collaborate with product, AI, and platform teams to deliver reliable, secure, and observable systems. Debug production issues, improve performance and CI/CD, and contribute across the software development lifecycle with a focus on data- and AI-driven analytics capabilities.

Design, implement, and automate large-scale distributed systems; build tools for availability, scalability, and efficiency; collaborate with engineering teams to deliver software; monitor production, improve reliability, and participate in on-call rotation to reduce MTTD.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

The role involves leading a team of engineers to develop secure web browsing technologies, manage project timelines, and communicate effectively with stakeholders while fostering team growth and best practices in software development.

As a Principal Software Engineer, develop and optimize distributed database solutions, focusing on replication, sharding, and performance across cloud and on-prem environments, while ensuring code quality and leveraging tools for debugging and profiling.

Join mthree's Graduate Recruitment Program and work with clients in tech roles, focusing on software development and system support. Receive training and ongoing support while building a tech career.

The DevOps Engineer IV will manage web services, drive operational excellence, mentor junior engineers, and lead cross-team projects, focusing on enhancing system reliability and performance.

The role involves designing, developing, and maintaining high-performance C++ applications, optimizing algorithms, and collaborating with cross-functional teams.

Research, develop, and support software and automation tools for analog/mixed-signal/RF IC design; implement algorithms, data structures, and ML methods; integrate and deploy EDA tools; provide user support and collaborate with designers and vendors to improve IC design flows.

Embed with a product team to improve reliability and scalability: maintain infrastructure on vSphere/AWS, manage Kubernetes and containers, administer CI/CD pipelines, automate toil with scripting and IaC, handle OS-level operations and networking, build monitoring/alerting, and lead incident response and post-incident RCA.

Design, build, and operate highly scalable DevOps platforms for a high-throughput advertising DSP. Troubleshoot production issues, automate infrastructure and CI/CD, manage Kubernetes/Docker deployments, implement Azure services and IaC, configure monitoring/alerting, and collaborate in agile teams to improve reliability and scalability.

Define and evangelize the end-to-end architecture for a multi-tenant cloud-native data platform. Lead designs for streaming, low-latency query, multi-cloud operations, security/compliance, SRE practices, and AI/agent integrations. Mentor senior engineers, run architecture reviews, partner with executives and customers, and drive reliable, cost-efficient platform delivery.

Owner-operator product engineer using AI-assisted development to design, build, and maintain full-stack applications, backend services, automations, and internal tools. Drive end-to-end solutions from discovery through deployment, collaborate with stakeholders, ensure reliability and observability, contribute to architecture and technical strategy, and mentor engineers while continuously adopting new AI and platform capabilities.

Design and build end-to-end automation and orchestration solutions that integrate ServiceNow, cloud platforms, enterprise systems, and AI agents. Re-engineer processes, develop ServiceNow flows and integrations, build external automation with Python/PowerShell, measure automation economics, and ensure safe human-in-the-loop workflows in production.

Design, implement, and maintain scalable, reliable platform solutions for 6G physical-layer simulators. Collaborate with cross-functional research, simulator, and enterprise teams to deliver AI-enabled workflows, manage Kubernetes/OpenStack infrastructure, CI/CD pipelines, containerization, and monitoring. Drive test strategies, performance analysis, documentation, and mentor technical teams.

Design, build, and operate highly available hybrid Kubernetes platforms (EKS/AKS/on-prem). Manage deployments (kubectl, Helm, ArgoCD), observability (Prometheus, Grafana, Loki, Mimir), IaC (Terraform), storage/networking/security, backup/DR, incident response, on-call rotations, documentation, mentoring, and continuous improvement of cloud-native and GitOps practices.

Administer and optimize private cloud virtualization platforms (VMware, Nutanix, Hyper-V); perform maintenance, patching, vulnerability remediation; troubleshoot Windows and Linux; collaborate with networking and security teams; develop automation (PowerShell/Bash/Python); maintain documentation; participate in shift rotations and 24/7 on-call support to improve platform reliability and performance.

Design, build, secure, and maintain APIs on the Layer 7 API Gateway. Automate platform capabilities (CI/CD, GitLab), support onboarding and migrations (APIGEE->Layer7), perform API design, testing, and documentation, mentor junior engineers, and collaborate in Agile teams.

Design, build, and operate cloud-native, secure, observable platforms for AI and product engineering. Implement IaC, CI/CD, networking, security, observability, reliability practices, and reusable platform patterns to enable scalable, resilient deployments across environments.

Lead architecture and delivery of Salesforce Data Cloud solutions: design data models and ingestion pipelines, integrate with Marketing Cloud and MarTech, ensure identity resolution, privacy compliance, and performance, mentor engineers, and support audience segmentation and journey orchestration.

Develop tools, infrastructure, and test frameworks for RTL/C-model simulations, emulation, FPGA, and silicon. Work on Tegra SoC boot and security-related IP, bare-metal test frameworks, silicon bring-up utilities, and reusable register/memory/DMA access tools to enable design and verification across pre-silicon and post-silicon platforms.

Verify design, architecture and micro-architecture of memory subsystem IPs using UVM and other methodologies. Develop verification infrastructure (functional models, scoreboards, environments), define verification scope and testplans, drive functional-coverage closure, and collaborate with architects, designers, software and post-silicon teams for timely solutions.

Design, implement, and verify FPGA prototypes of NVIDIA AI processors, GPUs, networking chips and SoCs. Perform RTL design, partitioning, synthesis, timing closure, simulation-based verification, and lab bring-up/debug on FPGAs. Collaborate with architects, designers, software and verification teams and leverage scripting, source control, and AI/LLM automation to optimize workflows.

Build, run, and scale Okta's multi-cloud observability stack for metrics, logs, traces, and alerts. Implement Monitoring-as-Code with Terraform and CI/CD, optimize Splunk and Grafana pipelines, instrument services with OpenTelemetry and Prometheus, reduce alert noise via programmatic guardrails and auto-remediation, automate operational debt, and participate in on-call rotations and post-incident reviews.

Owner of full-stack feature implementation across web, API, cloud, DevOps, and AI-enabled capabilities. Design, build, test, deploy, monitor, and optimize scalable, secure production systems; integrate LLMs and RAG; enforce code quality, mentor juniors, and collaborate with architects, TPMs, product, QA and platform teams.