Top Python Developer Jobs in Delhi

Provide level-2 AWS cloud operations support for the Asset Management business: assess business impact via customer interaction, perform initial troubleshooting and analysis, remediate issues via data manipulation or application tools, and coordinate software/bug fixes with development teams across non-production and production environments.

Deliver data engineering and analysis work using Python, PySpark, SQL and data platforms (Airflow, Trino, Hive). Produce LLD, coordinate offshore teams, follow Agile/Scrum, and work with container platforms (Linux, OpenShift, Kubernetes) and visualization (Superset). Banking domain experience is a plus.

Conduct research and development on LLM technologies (RAG, prompt engineering, knowledge-grounded dialogue). Improve foundation model performance via data acquisition, evaluation, SFT, reward modeling, and RL. Prototype downstream AI/agent products for Binance and track academic and industry advances.

Early-career TechOps role in Binance Accelerator Program focused on observability, automation, and AIOps foundations. Build dashboards, alerts, runbooks, automate repetitive support tasks, perform RCAs, prototype lightweight agents/skills, and improve incident management workflows. Hands-on with logging/metrics/traces, basic MLOps concepts, and support-driven product improvements.

Join a research team building AI-driven quantitative trading tools. Design, test, and productionize predictive signals; diagnose model and PnL behavior; research market microstructure; build agentic research infrastructure; collaborate with traders and engineers to deploy monitored strategies.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Conduct original research on generative AI and LLMs for crypto/finance, design and run rigorous experiments, build evaluation frameworks, develop post-training and test-time scaling methods, and collaborate with engineers to deploy research into production focused on agent reasoning, alignment, and robustness.

Early-career research role implementing and running experiments on LLM reasoning, post-training alignment, and agentic AI for crypto markets. Tasks include literature synthesis, model implementation (PyTorch/Hugging Face), experiment tracking (Weights & Biases), and collaborating with engineers to translate research into production.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Analyze marketing campaign performance, customer behavior, and market trends; build and maintain marketing dashboards and reports; collaborate with marketing and sales to define data needs; conduct competitor and KOL analysis; present insights via data visualization and recommend optimizations to improve marketing ROI and conversion.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Six-month junior fixed-term role to design and develop LLM-based agents for Web3 scenarios, build token research and summarization agents, assist in trading agent development using market and on-chain data, and experiment with prompt engineering, memory, and multi-agent orchestration and evaluation.

Join an early-career product program to define and deliver backend trading infrastructure. Improve matching and risk engines, collaborate with engineering on technical solutions, monitor backend performance, and ensure regulatory and best-practice compliance for derivatives products.

Lead design and implementation of a sustainable points/economy system: define issuance rules, redemption, inflation control, metrics, anti-abuse strategies, and collaborate cross-functionally to integrate the system and ensure compliance and stable operations.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

The Senior Emulation Engineer will validate AI accelerator architectures, maintain emulation platforms, develop testbenches, and collaborate on performance optimization and debugging processes.

The Senior Site Reliability Engineer ensures the availability, performance, and security of Drivetrain's SaaS platform, managing multi-cloud infrastructure, optimizing CI/CD pipelines, and driving automation.

Drive technical pre-sales engagements by defining customer challenges, delivering demos, workshops and PoC support, and mapping solutions to Couchbase. Act as trusted technical advisor to developers, architects and executives, collaborate with sales, product and engineering, and produce technical collateral and architectures to ensure successful adoption.

Design, build, and operate distributed platform infrastructure powering notebooks, jobs, apps, model serving, and AI agents. Own container pools, scaling, routing, RBAC, billing, observability, and secure networking across regions and clouds. Lead cross-functional initiatives, mentor engineers, share on-call duties, and improve reliability, security, and cost-efficiency.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

The Technical Manager will lead the integration of generative AI in applications, overseeing development, ensuring compliance, and managing projects while collaborating with stakeholders.

The Software Engineer will design and develop innovative software applications, collaborate with cross-functional teams, ensure software quality, and maintain documentation, while embracing agile practices.