Top Python Developer Jobs in Delhi

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

Lead the development of scalable cloud services for risk insights, build APIs, establish CI/CD processes, and mentor peers.

Lead the design and implementation of scalable and resilient components for an observability platform, ensuring high reliability and performance across distributed environments.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

Lead and mentor a team of data analysts to design and implement analytics strategies, delivering insights and overseeing data accuracy and compliance.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

Seeking a Data Engineer to design and maintain scalable data pipelines using Databricks and Azure, focusing on ETL/ELT workflows, data quality, and collaboration with teams.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

Develop and maintain web applications, manage performance and security, mentor junior engineers, and collaborate on system design.

As a Technical Pre-Sales Specialist, you will lead technical discovery, configure demos, and collaborate with teams to translate customer challenges into AI-driven solutions.

Design and implement microservices using Go and Python, develop cloud-based software products, and lead backend application architecture at Ocrolus.

The Senior IAM Engineer will strengthen security by managing user identities, implementing IAM policies, and ensuring compliance with regulations. Responsibilities include lifecycle management, access governance, and troubleshooting access issues, while collaborating with cross-functional teams to secure systems and protect sensitive data.

As a DevOps Engineer, you will maintain system stability, oversee operations, and design optimized CI/CD pipelines while collaborating with global teams.

As a Data QA Associate, you'll manage data cleaning and quality assurance processes, transforming receipt data into business insights, collaborating with remote teams, and ensuring data consistency and quality.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

The Engineering Manager will lead Generative AI teams, focusing on AI solutions for conversations, workflows, voice, support, and platform development, while mentoring engineers and driving performance and innovation.

Support homeowners pricing by preparing and validating datasets, performing exploratory analysis, assisting in GLM and machine-learning model development, compiling rate-filing exhibits, monitoring post-implementation performance, and maintaining progress toward actuarial credentials under senior guidance.

Analyze end-to-end cellular network performance, design scalable data pipelines, develop analytics to extract application-layer QoE insights, and collaborate with network operators on data collection and optimization.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

The Senior AI Engineer will design, develop, and maintain AI-driven software applications, manage projects, lead code reviews, and mentor team members while ensuring adherence to best practices in software development.

As a Senior R&D Engineer, you will support semiconductor customers, providing solutions and training on SiConic technology, conducting installations, and collaborating globally to ensure product functionality and quality.