Top Python Jobs
As an Associate Consultant in the Celonis Galaxy Graduate Program, you will engage in customer-focused projects, perform data transformations, implement EMS configurations, and develop Python scripts. You'll also collaborate with various teams and receive structured training aimed at launching your career in enterprise software.
The Senior Cloud Platform Engineer will design, develop, and maintain a scalable, secure microservices cloud platform. Responsibilities include building CI/CD pipelines, automating operational tasks, and managing cloud infrastructure across Kubernetes clusters. The role requires collaboration with engineering teams to implement best practices in DevOps and ensure high availability of services.
The Principal Enterprise Architect at Celonis will lead and define client architecture and data strategies, engage with C-level executives to align technical and business goals, and support sales efforts through architectural guidance and customer engagements. Responsibilities include overseeing integration challenges, developing reusable consulting assets, and creating technical presentations for stakeholders.
As a Platform Engineer at Celonis, you will build and operate a highly available Microservices Cloud platform on Kubernetes, automate operational tasks, establish CI/CD best practices, and manage cloud environments. You'll leverage modern tech stacks while monitoring and integrating necessary telemetry into the platform.
The Application Developer for Construction Industries at Caterpillar Inc. will oversee the development and optimization of a financial application. Responsibilities include website development, code review, UX optimization, collaboration with IT and Operations, and ensuring compliance and security of financial data.
The Senior Software Engineer will architect and engineer productivity optimization solutions, collaborate with technical experts, and maintain awareness of emerging technologies to improve solutions. Responsibilities include providing technical support, ensuring quality and cost-efficiency in applications, and leveraging Python, Javascript, AWS, and CI/CD practices.
The Software Engineer III will implement and optimize distributed ML infrastructure, develop monitoring tools, integrate Generative AI, and produce high-quality production code while collaborating with product teams. Hands-on work with AWS and advanced ML frameworks is central to enhancing AI/ML technologies at JPMorgan Chase.
As a Lead Software Engineer in AIML Technologies, you will architect and implement distributed ML infrastructure, optimize system performance, develop monitoring tools, and mentor engineers. Your role involves integrating Generative AI, coding in Python, and collaborating with research teams to meet business goals, all while driving technical decisions and system improvements.
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Develop and maintain APIs using NVIDIA Triton for deploying large language models. Optimize pre- and post-processing pipelines for efficiency. Collaborate with data scientists and engineers to integrate ML solutions, troubleshooting model inference and performance issues as needed.
Develop and maintain APIs using NVIDIA Triton for LLM deployment. Implement and optimize pipelines for LLMs, collaborate with teams to integrate ML solutions, and troubleshoot model performance issues.
As a Senior Systems Engineer at ServiceNow, you will develop using Puppet and Python for configuration management, manage hybrid clouds and containers, participate in infrastructure automation, orchestrate workflows using the ServiceNow platform, and provide tier 3 support for systems operations while collaborating with various teams.
The Senior Systems Engineer will develop and manage configuration management using Puppet and Python, overseeing hybrid clouds and VMs/Containers. They will work in a collaborative environment to automate test plans, build orchestration workflows, research new tools, and provide tier 3 support for regulated environments.
The Software Engineer will develop tailored software solutions, create architecture documentation, manage code and dependencies, optimize processes, and support cloud applications using AWS. Responsibilities include writing tests, mentoring junior engineers, and transitioning applications to a serverless architecture.
In this role, you'll collaborate with the ServiceNow Research and engineering teams to innovate AI-driven features for enterprise solutions. Responsibilities include building and testing AI agents, improving model performance, and leading discussions on technical requirements.
As a Senior Software Engineer, you will design and maintain efficient Python code, develop scalable AI-driven software solutions, integrate ML/AI capabilities, and mentor junior engineers. You'll collaborate with product managers and work with cloud platforms to drive innovations and improve existing codebases.
As a Senior Software Engineer in AI Engineering, you will design and maintain Python code, develop scalable AI-driven software solutions, integrate ML capabilities into the ServiceNow platform, and mentor junior engineers. You'll collaborate with cross-functional teams, work with various cloud platforms to deploy solutions, and improve codebases for performance and scalability.
As a Senior Lead Software Engineer at JPMorgan Chase, you will enhance and deliver ML technology products by architecting distributed ML infrastructures, developing management tools, optimizing system performance, and integrating Generative AI within the ML Platform. The role emphasizes collaboration with product teams, strategic decision-making, and hands-on experience in software development, primarily using Python and AWS.
As a Full Stack Developer, you will create and maintain customer acquisition programs and web applications using technologies such as NodeJS and Python, while working with MySQL, React, and various APIs. You will contribute to technology improvements and foster a learning environment within the development team.
The Principal Architect will lead the technical direction, design scalable systems, implement cloud-native solutions, and integrate AI and Twilio APIs in the insurance sector.
The QA Lead, Automation is responsible for transforming the QA team through automation by designing test frameworks, mentoring engineers, and integrating automation into the CI/CD pipeline. This role includes developing automation strategies, optimizing testing processes, and leading performance testing efforts.
The Senior Research Engineer will innovate and deliver secure AI applications by maintaining codebases and docker images, conducting code reviews, and collaborating with cross-functional teams. They will build tooling for AI research, focus on performance optimization, and manage end-to-end data pipelines, while staying engaged in both fundamental and applied research in AI security.
In this role, you will create innovative solutions utilizing AI agent frameworks and LLMs on the ServiceNow platform, collaborating with research and engineering teams. Responsibilities include building, testing AI agents, evaluating performance, and developing applications that leverage AI capabilities.
The Site Reliability Engineer will design, build, and operate large-scale production systems, debug complex problems, develop tools for application engineering teams, and improve monitoring for existing services while collaborating on best practices for SLAs and SLOs. Responsibilities include troubleshooting, automation, and providing architectural recommendations on AWS and Google cloud infrastructure.
As an Anaplan Solution Architect, you will design and implement solutions on the Anaplan platform, lead teams, and provide technical guidance. Responsibilities include collaborating across functions, educating customers, maintaining strong controls, and championing agile development principles.
As a Software Engineer III, you will develop high-performance computing software, collaborate with the quantum algorithms research team, and write code primarily in C, C++, and Python. You will optimize software for parallel computing environments and contribute to developing technologies for quantum hardware experiments.
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