Top Python Developer Jobs in Delhi

The Site Reliability Engineer will build resilient systems, automate deployments, monitor performance, and participate in compliance and incident response efforts.

The Sr. Software Engineer will create file format parsers, collaborate on machine learning features, and maintain software systems. Responsibilities include testing, optimization, and documentation.

The role involves designing and delivering business intelligence dashboards for J.P. Morgan Payments, partnering with stakeholders, and optimizing data visualization and user experience.

Provide exceptional technical support and mentor junior members, improve services, manage vendor contracts, and handle IT hardware lifecycle.

Responsible for database monitoring, preparing documentation, and communicating findings to stakeholders, while managing compliance reports and insights.

Lead the IAM team, manage daily operations, ensure security and stability of IAM services, and drive process improvements in identity and access management.

As a Shield Engineer II, you'll support observability platforms, guide users, and automate tasks while collaborating on reliable solutions.

The IAM Engineer II will implement and manage identity and access management solutions, ensure compliance, and respond to security incidents. The role requires collaboration and technical expertise in cybersecurity and IAM technologies.

As a Senior Software Engineer on the Data Platform team, you'll design and build foundational data services, maintain data pipelines, and ensure security and observability across data systems.

The Sr DevOps Engineer will manage cloud applications, provide operational support, and work with CI/CD tools, infrastructure as code, and system administration.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

As a Senior Software Engineer in Observability, you'll develop and operate Atlassian's observability platforms, driving projects, managing systems, and mentoring junior engineers.

Lead the development of Terraform modules for Azure, ensure compliance with security standards, optimize cloud resources, enhance performance, and prepare operational teams for customer support.

The Performance Engineer validates and optimizes performance in Boomi's infrastructure/products by analyzing architecture, identifying KPIs, automating tests, and improving performance monitoring.

As a Site Reliability Engineer, you will enhance system reliability, automate infrastructure management, and mentor engineers while collaborating with product and service teams.

Develop BoB solutions using Integration and APIs, participate in technical sessions, and apply best practices for Boomi integration solutions.

Lead the design of telemetry strategies, manage observability architecture, mentor junior engineers, and solve complex technical challenges.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The Senior AI Engineer will build and productionize advanced AI systems, focusing on large language models and automation to enhance user productivity through intelligent AI solutions.

The Senior Machine Learning Engineer will develop AI solutions to enhance productivity, build and scale ML models, and communicate data science concepts effectively.

The Senior Product Security Engineer will secure cloud platforms, conduct security assessments, automate controls, mentor teams, and engage with stakeholders on security practices.

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and insights.

The Machine Learning Engineer will influence AI product development, collaborate on business problems, apply quantitative analysis, and drive product strategies through data insights.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.