Top Python Jobs in Bengaluru

The DevOps/SRE will ensure the reliability of the AIOps platform, automate software deployment, manage infrastructure, and improve CI/CD practices.

Lead block-level physical implementation from synthesis and floorplan through CTS, routing, and sign-off. Optimize PPA via deep timing, power, and congestion analysis, automate flows with Tcl/Python, resolve DRC/LVS/IR/timing issues, and collaborate with RTL/DFT teams to left-shift constraints and ensure clean GDSII tape-outs.

Lead full RTL-to-GDSII physical design for sub-5nm SoCs: own full flow, optimize PPA, build scalable push-button methodology, remove execution bottlenecks, and collaborate with RTL/Architecture/DFT/foundry/EDA teams.

Lead digital design of high-performance controller and bridge IP from micro-architecture through GDS for advanced-node (≤16nm) SoCs. Own RTL, synthesis, timing closure, verification (UVM), IP integration (processors, peripherals), and pre/post-silicon bring-up and debug, collaborating across teams to ensure first-pass silicon success.

Design, build, and own frontend features for the Voyager desktop app and Aerospike Cloud. Architect scalable frontends and a reusable component library, integrate APIs and LLM/agentic capabilities, optimize performance and accessibility, implement automated testing, and collaborate with design, product, and QA to ship reliable cross-platform desktop and web experiences.

Lead SoC digital design from architecture to GDS for advanced-node (≤16nm) controllers and bridges. Drive RTL development, synthesis, timing closure, IP and peripheral integration (ARM/ARC), UVM verification, pre/post-silicon bring-up and debug, and collaboration across cross-functional teams to ensure first-pass silicon success.

Responsible for ensuring the quality, reliability, performance, and usability of web applications, APIs, enterprise platforms, microservices, and AI-powered products. Duties include manual and functional testing, test planning, automation framework development, API and backend validation, regression and integration testing, performance testing, defect management, root-cause analysis, release validation, and production quality monitoring. The role collaborates with Engineering, AI, Product, and Platform teams throughout the software development lifecycle.

Build and operate large-scale distributed backend systems for Auxia’s agentic AI platform. Work across platform infrastructure, data systems, backend services, ML infrastructure, frontend tooling, and enterprise integrations. Responsibilities include designing multi-tenant systems, high-throughput pipelines, real-time decisioning services, model-serving infrastructure, observability, deployment automation, and customer SDKs. Engineers own systems end to end in an onsite, fast-moving startup environment.

Design, deploy, and maintain production Kubernetes clusters across on-premises and hybrid-cloud environments. Optimize container networking, runtimes, and resource allocation for low-latency RTB workloads. Build GitOps-based CI/CD automation, implement observability with Prometheus, Grafana, and Jaeger, and enforce cluster security through network policies, OPA/Gatekeeper, and vulnerability scanning. Collaborate with SRE and backend teams to scale reliable cloud-native infrastructure.

Build and maintain full-stack web services powering the company website and related tooling. Responsibilities include developing APIs, integrating third-party systems and webhooks, improving performance and reliability, writing tests, supporting CI/CD, and implementing monitoring, logging, and alerting. The role owns changes from implementation through deployment and monitoring while collaborating with front-end developers and engineers.

As a Senior Software Engineer, you will design and implement workflow systems, build orchestration layers, and mentor junior engineers while ensuring reliable and observable AI workflows.

Drive the infrastructure strategy for AI platform, leading a DevOps team for critical systems in regulated environments, focusing on cloud, Kubernetes, observability, and security operations.

As the Founding Cloud Infrastructure Engineer, you'll design secure cloud infrastructures using AWS/Azure/GCP, support distributed AI workloads, manage GPU resources, and collaborate on ML initiatives.

Lead development and ownership of full-chip STA sign-off methodology and timing convergence strategy. Architect and deploy STA/ECO flows, benchmark EDA tools (Cadence Tempus), build automation (Tcl/Python/Perl), define MMMC and margin strategies, and collaborate with RTL, CAD, DFT, and Physical Design to meet PPA and tape-out goals.

Design, build, and maintain high-performance, low-latency distributed backend systems and microservices. Implement RESTful APIs, data stores, messaging, and monitoring. Drive architecture, CI/CD, cloud operations, code reviews, mentoring, and scaling to support hundreds of millions of users.

Develop and integrate OCP SAI with SONiC, enhance control plane stack, ensure optimal SDK performance, and create automated test tools.

Develop SDK bridging hardware and software for networking. Ensure performance of switch ASICs with a focus on L2/L3 protocols and embedded systems.

Work on a large enterprise codebase supporting corrugated manufacturing operations. Develop and maintain Java 17/Java EE applications, deploy on TomEE/OpenEJB, design and optimize SQL Server schemas and queries, build/consume REST APIs, and use Windows/Eclipse, PowerShell, and Git for development, build, and deployment tasks.

Lead DevOps/SRE responsible for designing and operating GCP infrastructure, IaC (Terraform), Kubernetes/GKE management, CI/CD and GitOps pipelines, observability, SLO/SRE practices, incident response, cost optimization, security best practices, and mentoring other DevOps engineers.

Lead QA strategy and hands-on test automation for an AI-first SaaS product. Design and maintain Playwright-based end-to-end frameworks, API tests, CI/CD integration, test data/environment strategies, quality metrics, and mentor QA engineers while promoting shift-left practices.

Lead the architecture, performance, reliability, and scalability of PostgreSQL production environments. Design high-availability and disaster-recovery systems, define backup and failover protocols, manage migrations and upgrades, and collaborate on cloud automation. Troubleshoot complex database issues, implement monitoring and observability, mentor DBAs, engage customers, present technical solutions, and establish database best practices.

Manage and optimize production PostgreSQL environments for performance, stability, scalability, and high availability. Responsibilities include troubleshooting, query optimization, backups, recovery, replication, failover, upgrades, patching, migrations, monitoring, and cloud database management. The role collaborates with DevOps and cloud teams, designs and implements client solutions, provides customer-facing technical delivery, and mentors junior engineers.

The role involves digital RTL design of SoCs, contributing to architecture and driving methodologies for successful chip designs, while collaborating with various teams.

As a Senior Digital Verification Engineer, you will undertake system and block-level verification, develop test plans, create testbenches and verification infrastructure, and collaborate closely with design teams to ensure the functionality of AI hardware components.

The role involves implementing DFT features on Mythic's SoCs, contributing to methodology development, and collaborating with design teams throughout the design cycle.