Top Python Developer Jobs in Delhi

The Senior Backend Developer will design and implement scalable APIs, manage cloud infrastructure, and work within a microservices architecture. Responsibilities include developing microservices, optimizing backend performance, and collaborating with cross-functional teams.

The Platform SecOps Engineer will implement security controls, manage security tooling operations, and support incident response in a hybrid and on-prem infrastructure.

The role involves designing and deploying intelligent Voice Agents to solve business problems, ensuring performance and scalability, and collaborating across teams to implement AI-driven solutions.

The Sales Operations Reporting & Analytics Specialist creates reports and dashboards, analyzes metrics, and provides data-driven insights to improve sales operations, ensuring continuous operational improvements within the organization.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.

The Solutions Engineer is responsible for exceeding sales targets, presenting cloud security solutions, gathering technical requirements, and ensuring customer satisfaction through effective communication and technical demonstrations.

The Senior Software Engineer will lead AI integration into workflows, manage MCP servers, build AI skills, and optimize the SDLC.

As a Senior Software Engineer on the Semantic Layer team at dbt Labs, you'll develop features for MetricFlow, optimize query generation, and manage the open-source project, ensuring seamless integration and high performance.

Conduct testing of Wi-Fi products, develop test plans, utilize testing tools, troubleshoot issues, and guide junior members.

The Senior DBA Engineer will manage PostgreSQL databases, ensuring integrity, security, and performance. Responsibilities include maintenance, replication, and collaboration with development teams, along with disaster recovery management.

As an AI Developer, you'll design AI-driven document features, integrate capabilities into tools, optimize performance, and engage in systems design and coding across languages.

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.

The SCM Developer will enhance SCM platforms by developing tools and automating deployments, focusing on efficiency, compliance, and collaboration with stakeholders.

Design and manage the global corporate network, implementing LAN, WAN, and Wi-Fi solutions while ensuring automation and compliance with security standards. Requires international travel for deployments.

Design and develop integration solutions and APIs, manage EDI workflows, collaborate with teams for requirements, and troubleshoot integration issues.

Design and maintain scalable backend services using Go. Collaborate with cross-functional teams, mentor junior engineers, and manage production systems.

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

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

The Senior Software Engineer will develop scalable enterprise solutions, mentor team members, clarify requirements, and implement best engineering practices. Expect a hands-on role focused on backend development and data integration for the AlphaSense platform.

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

Design and develop RESTful APIs based on FHIR resources, manage FHIR servers, ensure compliance with healthcare standards, and optimize data exchange systems.

The DevOps Engineer will design and maintain AWS infrastructure, implement CI/CD pipelines, optimize cloud resources, and support AI/ML deployments within data projects.

The role requires developing and maintaining test automation frameworks, performing UI and API testing, and collaborating with cross-functional teams in a healthcare setting.

Design and develop machine learning infrastructure and models, support product teams, build scalable data services, and promote collaboration within a diverse engineering team.

Join Weave's Machine Learning Team as a Staff ML Engineer to design and develop AI infrastructure, build scalable services, and guide teams in leveraging data for application development.