Top Python Jobs in Bengaluru

As a Software Engineer III, you will design and deliver technology products, execute software solutions, create high-quality production code, analyze data sets, and contribute to coding and system architecture improvements.

Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management domain responsible for developing innovative software solutions, leading evaluation sessions, and driving technology advancements. Requires 10+ years of experience in software engineering, advanced proficiency in Python, and expertise in agile methodologies and cloud native technologies.

As a Software Engineer II, you will design and deliver technology products, execute software solutions, create high-quality production code, and analyze data for continuous improvement. You'll also contribute to software engineering communities and promote a diverse team culture.

Lead Software Engineer role at JPMorgan Chase responsible for developing secure high-quality production code, leading evaluation sessions, driving awareness of new technologies, and promoting diversity and inclusion within the team.

The Senior Consultant will design, develop, test, deploy, and maintain large-scale data pipelines, primarily using AWS Glue. The role involves collaboration with cross-functional teams to gather requirements, delivering high-quality ETL solutions, and applying strong AWS development experience for data integration and automation tasks.

The Senior Data Engineer will design and maintain scalable data pipelines, build API integrations, collaborate with analytics teams, and improve data models for business intelligence tools to enhance data-driven decision making.

As an Observability & Automation Engineer, you will ensure the reliability and performance of cloud-based systems by implementing observability solutions. Responsibilities include designing monitoring tools, collaborating with teams on metrics and alerts, automating testing and deployment, integrating tools into CI/CD pipelines, and troubleshooting technical issues.

As a Python Developer, you will design and maintain core infrastructure for financial services, enhance performance, debug production issues, and automate daily processes while collaborating with various teams to improve operational efficiency.

As a Senior DevOps Engineer at ZS, you will be responsible for developing, testing, debugging, and troubleshooting containerized applications on Kubernetes, managing Kubernetes clusters, designing cloud infrastructure, enhancing CI/CD pipelines, implementing monitoring and alerting solutions, and automating infrastructure provisioning. The role requires at least 2.5 years of relevant experience and expertise in various technologies including Docker, Kubernetes, AWS, Azure, Terraform, and more.

The Manager of Software Engineering will lead a site reliability engineering team, focusing on improving reliability across public safety products, project planning, mentoring junior engineers, and managing the development and support of cloud-based applications and tools.

As a Cloud IAM Engineer, you will safeguard the cloud environment by designing and implementing access controls using AWS, OCI, Azure, and GCP IAM services. Responsibilities include conducting security reviews, developing IAM policies, automating IAM tasks, and ensuring compliance with security standards.

The Senior Software Engineer will design, build, and maintain scalable backend services and APIs while collaborating with cross-functional teams to enhance platform integration. Responsibilities include code quality, mentoring junior engineers, and contributing to Agile processes. The role requires a strong technical foundation and experience in high-scale systems and cloud technologies.

The Observability Engineer will be responsible for architecting, developing, and maintaining on-premise systems and data centers for Motorola Solutions. The role involves utilizing various observability tools, ensuring system efficiency, and collaborating with teammates to enhance infrastructure and operations.

The AI Software Engineer will work across various platform technologies, developing AI models, analyzing data, and collaborating with cross-functional teams. Key focuses include mobile technology, machine learning frameworks, data handling, and cloud technology.

As a Lead AI Engineer, you will build and refine machine learning engineering platforms, scale algorithms for large datasets, and implement ML Ops. Collaborate with teams to gather technical requirements, write production-quality code, and ensure high-quality deliverables through best practices and testing. Participate in agile ceremonies and explore new architecture patterns to improve solutions.

As a Software Engineer III, you will design, develop, and troubleshoot software solutions, creating high-quality production code and architecture for complex applications. You'll analyze diverse data sets for continuous improvement, while also engaging in software engineering community practices and driving enhancements to coding hygiene and system architecture.

As a Software Engineer III, you will design and deliver software solutions, create secure production code, and contribute to architectural design for complex applications. You will analyze and visualize large data sets, identify problems in coding hygiene, and participate in software engineering communities while promoting a diverse team culture.