Top Python Developer Jobs in Delhi

Design, implement, and support Customer Data Platform (CDP) solutions and integrations. Build Snowflake-based data models and ETL/transformations, implement AWS cloud-native components (Kubernetes, Lambda), develop Java/Python integrations and APIs, enable audience activation across channels, ensure data governance, performance, and collaborate with marketing and tech stakeholders.

Design, develop, test, and maintain scalable full-stack web applications. Build backend services and RESTful APIs in Java and Python, create responsive frontends with JavaScript, optimize application performance, debug production issues, perform code reviews, and collaborate with product, QA, and engineering teams to ensure security, scalability, and reliability.

Perform penetration testing, threat modeling, secure design reviews, and DevSecOps integration across web, API, cloud, and infrastructure. Embed security into SDLC, automate security validation in CI/CD, support vulnerability management, mentor teams, and drive Product Security program improvements.

Own and operate AWS infrastructure for RDS/Aurora using Terraform and CI/CD (GitLab/Harness). Troubleshoot and escalate pipeline/infrastructure issues, write RCAs, automate operational tasks with Python or Go, apply AWS security best practices, improve incident routing tooling, and maintain runbooks and operational documentation.

Lead data-driven analyses for transaction services, reconciling datasets to core financials. Use analytics tools and programming to build EBITDA, working capital, and cash flow analyses, present findings to clients, mentor junior staff, and enhance analytics capabilities across deal lifecycles.

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.

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.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.

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.

As a Solutions Engineer, collaborate with account executives to enhance technical aspects of sales, support customers, create technical demos, and build self-service tools.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

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.

Support development of AI, automation, and digital intelligence solutions: Python scripting, data collection/preparation, testing internal tools and dashboards, OSINT/data analysis, research on LLMs and automation, and maintain documentation and code repositories for proof-of-concept projects.

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.

The Datacom Protocol Engineer develops and tests software for advanced networks, focusing on Layer 2 protocol enhancements and collaboration across R&D and product management.

The Senior SW Engineer will design cloud-based build tools, provide leadership, mentor juniors, optimize performance, and interface with stakeholders.

Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.

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.