Top Python Developer Jobs in Gurgaon

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

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.

The Senior Network Engineer leads complex deployments, manages change controls, optimizes network architectures, and oversees migration activities while ensuring high operational standards and documentation.

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.

Support major semiconductor customers with SiConic solutions. Responsibilities include installation, troubleshooting, and customer training, along with evaluation for product improvements.

The Site Reliability Engineer (SRE) will ensure high availability and performance of production systems, focusing on automation, monitoring, and incident management.

Build responsive front-end interfaces and robust back-end services, design APIs and databases, integrate LLMs and third-party services, and support CI/CD, containerized deployments, monitoring, and security. Rapidly prototype features, collaborate with ML teams, and maintain production stability and compliance.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

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

As a Staff QA Automation Engineer, you'll automate software deployment processes, enhance tools for testing, and support cloud infrastructure. You'll collaborate with distributed teams and deliver enterprise-grade products.

The Integration Engineer will execute system validation tests, conduct HW & SW integration testing, and design automated tests for SolarEdge products.

Implement, configure, and customize Actimize ActOne Case Management and STAR modules, build integrations (alert ingestion, RCM APIs, UI Java plugins), create custom forms/plugins, configure users/roles/workflows/LDAP, and write complex SQL for AML-related transaction monitoring and reporting. Provide presentations and stakeholder communication.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software 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 Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.

Develop software for ML algorithms, build core products, manage data processing pipelines, and oversee technical leadership of the team.

The Senior Site Reliability Engineer will manage cloud infrastructure, develop internal DevOps tools, and enhance automation for application deployment and management.

The role involves designing and maintaining scalable data-driven backend systems, focusing on API development, database management, and cloud deployments on Azure.

The role involves building and maintaining automated test suites, collaborating with teams to ensure software quality, analyzing test results, and mentoring junior engineers.

Lead a team of engineers to evolve the architecture and strategy of the AI Search platform, ensuring high-performance search systems meet strict operational metrics, while nurturing talent and fostering a collaborative culture.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

Develop and maintain backend solutions for Machine Learning infrastructure. Collaborate on large scale software design and project management.

The Sr. Principal Quality Engineering Architect will lead the design of AI-driven automation strategies, reducing manual effort and enhancing product quality within CI/CD and DevOps environments.