Top Python Developer Jobs in Delhi

Lead architecture and reliability for a high-scale alerting pipeline: evaluate rule- and ML-based detections, ensure end-to-end delivery and idempotency, correlate diverse telemetry into topologies for LLM-driven reasoning, mentor engineers, and drive org-level technical decisions.

Design, develop, and maintain cloud-hosted SaaS web applications for insurance/reinsurance. Build responsive front ends with Angular/TypeScript, develop RESTful APIs in Python/FastAPI, support databases (SQL/NoSQL), create UI automation tests, troubleshoot issues, and incorporate AI to accelerate development and deliver AI-driven features.

The Integration Consultant will develop integrations between Workforce Optimizer and third-party systems, build data mappings, customize existing integrations, and troubleshoot issues.

Provide technical support and troubleshooting for Zimperium's mobile threat defense product, owning customer issues through resolution, validating fixes with QA, creating JIRAs for engineering, and collaborating with product, devops, and customer success teams to maintain high customer satisfaction.

Design, test, and iterate prompts and context strategies; build end-to-end LLM-powered application features (frontend to API); create reusable prompt libraries and eval sets; use AI-native tooling (Cursor, Claude Code); document prompt/version history for reproducibility and client transparency.

Senior SRE responsible for designing and operating reliable, observable, and secure AWS-hosted multi-tenant SaaS platforms. Build monitoring/alerting, SLO-driven operations, automation via Terraform and CI/CD, operate containerized/serverless workloads, lead incident response and game days, embed security and compliance, integrate AI safely into engineering workflows, and mentor junior SREs.

Design, build, and deliver enterprise-grade Generative AI and AI/ML platform capabilities: reusable services, APIs, microservices, RAG and agentic solutions, model lifecycle tooling, inference and monitoring, event-driven streaming with Kafka, CI/CD and DevOps automation, and platform observability to accelerate AI adoption across business domains.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Design, build, operate, and scale cloud-native infrastructure and Kubernetes clusters across major clouds. Implement CI/CD, observability, IaC, SLIs/SLOs, automate with Go/Python, participate in 24x7 on-call, and contribute to open-source and technical knowledge sharing.

Develop and maintain DevOps CI/CD pipeline, automate tasks, onboard services, collaborate with teams, participate in Scrum, provide support, and ensure system performance.

The Python/Django Developer will be responsible for web development, writing reusable code, understanding web technologies, and ensuring security and data protection.

The Senior Site Reliability Engineer at Tyk will optimize and maintain cloud platforms, enhance automation, and ensure high reliability across systems while collaborating cross-functionally and driving continuous improvements.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

Design, execute, and maintain test plans for an AI-powered platform. Perform functional, integration, regression, end-to-end, API, browser/device compatibility, and performance testing. Validate AI features, prompts, and generated responses; track and verify bug fixes; collaborate with developers and product teams; prepare launch-readiness reports and recommend stability and UX improvements.

The Trade Monitor supervises automated trading systems, analyzes strategies in real-time, collaborates with researchers, and assesses trading risks.

Lead development, optimization, and verification of digital silicon IP from model to bring-up. Create and maintain specs, block diagrams, and documentation. Characterize IP performance using industry-standard tools and flows, including FPGA simulation and emulation. Collaborate with architecture, physical design, and software teams and lead verification engineers.

Lead full-chip or large-block physical implementation from netlist to GDSII. Drive floorplanning, placement, CTS, routing, STA timing closure, DRC/LVS/EM/IR signoff, ECOs, hard-macro integration, PPA optimization, and automation scripting while collaborating with RTL, architecture, verification, and foundry teams.

Design and implement RTL and microarchitectural components for SoC/IP using SystemVerilog/Verilog. Optimize PPA, collaborate with verification and physical design teams, support integration, timing closure, simulation, GLS, and silicon bring-up, and contribute to design documentation and reviews.

Design and build production AI systems for BJAK's AI Neobank: AI agents, LLM apps, RAG/retrieval, tool-calling, and automations for onboarding, KYC, risk, CRM and operations, with focus on accuracy, latency, cost, security, compliance and reliability.

The role involves leading a team of Physical Design engineers in delivering high-performance silicon products while ensuring adherence to timing, power, and area requirements. Responsibilities include technical leadership, hands-on ownership of critical blocks, automation development, and stakeholder management to meet project milestones.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

The DevOps Engineer will enhance software development processes, automate deployments, manage AWS infrastructure, and ensure system reliability.

As a Frontend Developer, you will develop and maintain web applications, design user-friendly interfaces, collaborate on requirements, and participate in Agile processes while ensuring code quality and performance.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.