Top Python Jobs in Bangalore

Design, build, and operate secure, scalable cloud infrastructure across Azure and GCP. Implement IaC, CI/CD with integrated DevSecOps, IAM, secrets management, and observability. Ensure high availability, troubleshoot production incidents, optimize cost, and maintain runbooks while collaborating with development, security, and platform teams.

Maintain and monitor infrastructure availability for Skan components (VA, Cloud, Gateway); serve as first technical contact for customer incidents; manage incident lifecycle and RCAs; build automation, alerts, and documentation; troubleshoot performance, networking, containers, cloud platforms, and databases.

Design, build and maintain in-house cloud infrastructure and SRE tools: provisioning, patching, migration, monitoring, and lifecycle management. Own end-to-end solutions, collaborate with stakeholders, improve compliance, and apply DevOps practices to scale and automate infrastructure.

Design, build, test, and deploy backend services and APIs in Python/Django; own data modeling and pipeline work on AWS; implement RAG/LLM integrations and vector store solutions; maintain engineering best practices, CI/CD, and sprint ownership for small teams.

Lead platform reliability, modernization, and runtime engineering for Mainframe and distributed systems. Diagnose and resolve production incidents, design automation and observability, implement SRE practices, support hybrid mainframe-cloud architectures, and collaborate with engineering, product and operations to improve resiliency, performance, and operational efficiency.

12-month paid apprenticeship to write code (Java, JavaScript, .NET, Python), join agile teams, develop APIs and customer-facing apps for iOS/Android/web, perform code reviews, testing, and build web-enabled data collection systems.

Design, build, and maintain high-quality iOS applications within a product-led hospitality team. Translate product requirements into tasks, write well-tested code, optimize performance, fix bugs, and collaborate with Product and Design. Mentor peers, review code, and help shape engineering culture and tooling.

Design, build, and optimize large-scale distributed data pipelines, real-time processing systems, and backend services for Roku's content knowledge platform. Lead architecture, mentor engineers, conduct code reviews, drive reliability, performance, observability, and collaborate with product and cross-functional teams to deliver scalable streaming and content solutions.

Lead and grow a high-impact engineering team focused on building Meesho's Database Platform, ensuring scalability and reliability while mentoring engineers.

Design, automate, and operate cloud-native infrastructure and container platforms using IaC and automation. Improve reliability, observability, security-by-design, and troubleshoot integrations across cloud and enterprise environments while collaborating with engineering teams.

Design and develop low-latency, GPU-accelerated video streaming features; optimize encoder and GPU/CPU pipeline performance; build video quality measurement and analysis tools; integrate AI models for real-time video processing and adaptive streaming; and improve reliability, telemetry, and debugging for cloud-based streaming systems.

Lead pre-silicon verification of non-volatile memory controller IP: define verification strategy and plans, develop SystemVerilog/UVM environments, create tests/stimulus/assertions, run RTL/netlist/gate-level simulations, regressions, and analyze coverage.

Develop and maintain high-performance, scalable Python web and task servers using frameworks like Django/Flask/FastAPI. Build scheduled services, integrate numerical/ML code, maintain documentation, participate in code reviews, mentor junior engineers, and support CI/CD and cloud deployments.

Design, develop, test, and maintain scalable, secure back-end microservices using Java/Spring. Collaborate with cross-functional teams, write unit-tested code, participate in agile ceremonies, troubleshoot issues, and deliver features on schedule.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

Lead end-to-end quality assurance for monthly Android-based device releases. Mentor test engineers, develop test plans and strategies, and ensure functional, performance, interoperability, and benchmarking coverage. Drive adoption of AI and generative AI tools for test-case and strategy generation. Collaborate across engineering, product, and program teams to integrate testing throughout the SDLC while improving tools, processes, and methodologies.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

Design, develop, and maintain automated solutions and test scripts using UiPath and programming languages. Collaborate with cross-functional teams to gather requirements, implement automation best practices, troubleshoot/debug scripts, contribute to documentation, and participate in code reviews.

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

Lead the architecture of physical implementation for high-speed CPU designs, focusing on automated ML-driven methodologies and PPA optimization, while interacting with EDA partners.

Develop and run SystemVerilog/UVM tests for high-performance RISC-V CPU verification. Write targeted tests using internal test generators, implement test plans, target coverage scenarios, and integrate third-party VIPs and bus interfaces like AXI/PCIe.

Design, develop, and support ETL, data warehouse, PnL validation and adjustment tools, and PnL reporting frameworks. Build analytical tools and visualizations, modernize the PnL reporting platform, collaborate with Finance/Operations/Audit, and solve complex data and reporting challenges using modern technologies.

The Physical Design Engineer will perform synthesis, timing closure, and integration tasks, collaborating with the RTL team to optimize design flow.

Lead post-silicon bring-up and optimization of wafer-scale engines: develop debug flows, HW-SW codesign optimizations, build large-scale test infrastructure, create self-checking metrics and instrumentation, and collaborate across silicon, performance, and software teams to improve production performance and release processes.

Lead post-silicon bring-up and performance optimizations for Cerebras Wafer Scale Engines. Develop/debug production-ready flows, instrumentation, and self-checking metrics. Build infrastructure for large-scale silicon workload testing, collaborate with silicon architects, performance and software teams, and streamline CI/CD and release workflows.