Top Python Developer Jobs in Delhi

Lead and develop a team of engineers, coach and mentor team members, implement disciplined engineering processes, represent team and product to stakeholders, plan and manage progress on goals and projects, collaborate with other leaders.

Manage a growing engineering team to optimize quality and velocity of development and operations. Implement disciplined engineering and operations processes. Represent the team with stakeholders, customers, and external teams. Ensure focus on priorities, milestones, and deliverables. Deliver quality managed services in a consistent, timely manner.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

As an Analytics Engineer at Kong, responsible for data engineering and product analytics tasks, optimizing the data ecosystem, collaborating with cross-functional teams, and deriving actionable insights. Key responsibilities include data engineering, product analytics, data quality and governance, collaboration, and utilizing the Kong data ecosystem.

Pantheon is seeking a Staff Software Engineer for their Site Reliability Engineering team. Responsibilities include working on globally scaled implementations of WordPress and Drupal, orchestrating millions of containers, administering Kubernetes and other tools, collaborating with the engineering team, owning production systems, and supporting customers. Required skills include Python, GoLang, and experience with infrastructure management tools.

Join Pantheon as a Senior Software Engineer in Site Reliability Engineering team. Work on globally scaled implementations of WordPress and Drupal CMS systems using Google Cloud platform offerings. Administer, develop, and maintain configuration management with Kubernetes, Chef, Terraform, and other tools. Collaborate with the engineering team, own production systems, and contribute to platform improvements. Support on-call rotation and customer success.

As a Staff Software Engineer at Harness, you will be responsible for architecting, designing, developing, and delivering high-quality software for the Software Engineering Insights product module within the Harness developer platform. Key responsibilities include designing and maintaining critical software, diagnosing complex problems in a distributed computing environment, and collaborating with cross-functional teams. Required skills include Java, Python, distributed application development, database skills, and experience with CI/CD tools and cloud providers.

Work as a Site Reliability Engineer at GoGuardian, collaborating with product engineers to implement scalable systems, scaling backend systems, building and operating infrastructure, and monitoring performance and reliability of services.

Contribute to the end-to-end delivery of complex software applications, provide technical leadership, conduct code reviews, mentor junior engineers, and drive adoption of new practices within the team. Responsible for troubleshooting issues, maintaining reliability and performance, leading multiple features, and orchestrating work within the team. Requires 6+ years of experience, proficiency in Java, Python, or C++, and strong understanding of data structures and algorithms.

As a Data Insights & Analytics Specialist at MariaDB, you will analyze data, generate insights, and provide strategic recommendations to enhance business operations. Collaborate with cross-functional teams, develop visualizations, and stay up-to-date with industry trends.

Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.

Senior Data Engineer responsible for providing high-quality data sets, building data products, developing data models, and maintaining data pipelines. Collaborates with various teams and ensures data solutions meet SLAs. Requires expertise in Big Data technologies, SQL optimization, ETL processes, AWS ecosystem, and programming languages like Python, Java, and Scala.

Complete software testing activities, create test plans, develop automation framework for mobile apps, convert manual test cases to automation scripts, provide feedback on Agile SDLC process

Complete software testing and activities in conjunction with user stories, create test plans and reports, develop and improve test automation framework, convert manual test cases to automation scripts, provide feedback on Agile process.

Looking for a Senior NLP Engineer to improve user dialogue suggestions in a social discovery platform. Responsibilities include developing ML models, integrating them into the system, and optimizing dialogue continuation options. Requires expertise in NLP concepts, Python programming, machine learning libraries, and deployment of microservices.

As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. Responsibilities include leading and managing large teams of developers, collaborating with clients, maintaining quality datasets, overseeing project transitions, and enhancing code quality. Qualifications include experience in managing technical teams, proficiency in Python and/or JavaScript, hands-on technical work, strong leadership and communication skills.

Developer/Architect role focused on developing and maintaining DevOps CI/CD pipeline for a cloud service provider. Responsibilities include automation of tasks, onboarding internal services, collaboration with teams, and providing product support. Requires 5-8 years of DevOps experience, proficiency in various programming languages and tools, and knowledge of cloud environments like AWS and GCP.