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Build the next-generation in-memory database services! AWS ElastiCache, a fully-managed in-memory data store compatible with Valkey, Redis OSS, and Memcached, enables customers to build data-intensive apps or boost…
seeking someone to build and deploy ML models (predictive, classification, clustering, forecasting) for business and financial use cases. Key responsibilities include EDA, statistical modeling for financial…
Senior Python backend engineer building trade structuring tools for global trading desks at JPMorgan Chase, using SOLID principles, AI-assisted development, and AWS.
AWS License Manager Santa Clara team is looking for a software development engineer to help us define and build the future of licensing. The AWS License Manager Santa Clara team delivers high-performance applications…
AI Engineering ManagerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global…
Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Senior Software Engineer to join our intel team. The Software Engineer p rovides…
Come build the future of data with us! Amazon Web Services (AWS) is seeking a senior, experienced, and motivated Data Specialist Solutions Architect (SSA) to help our Strategic Accounts customers architect the next…
The Amazon ECS team is responsible for building and operating Containers solution to help customers run containerized microservices on AWS. We have an ambitious roadmap that seeks to redefine how our customers build…
The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500…
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Develops and optimizes distributed software systems for high-performance AI and HPC clusters, focusing on inter-node communication and scalable architectures using C/C++ and distributed computing principles.
Senior software engineer on Google's Spanner team, working on the core of a globally-replicated, scalable SQL database — contributing across the stack (co-processors, group management, indexing, query engines) to solve availability and scale problems. Heavy C++ and distributed/low-level systems debugging and optimization.
Tech lead for Google Photos working on applied/generative AI features: defining technical strategy and architecture, rapidly prototyping zero-to-one GenAI concepts, and partnering with first-party teams, while doing full-stack development across Java/Python/Go/C++ back ends and JavaScript/TypeScript front ends.
Level II Linux Engineer who administers and hardens an enterprise fleet of Linux servers (Amazon Linux, Ubuntu, RHEL) on AWS plus Linux virtual desktops on VMware/AWS WorkSpaces. Day to day: troubleshooting and performance tuning, Ansible configuration management, CIS-baseline hardening, patching via AWS Systems Manager, monitoring, and CloudFormation/Service Catalog infrastructure-as-code.
Own the architecture of Apptronik's core simulation platform behind its Apollo humanoid robot — high-performance distributed cloud systems (C++/Python, AWS/GCP/Azure, Ray/Kubernetes) that run millions of parallel RL training and controls-validation experiences daily, while mentoring engineers and partnering with physics/robotics specialists.
Lead the design and deployment of auto-labeling systems and computer vision models to scale data pipelines for autonomous driving, using C++, Python, PyTorch, and TensorFlow.
Lead the integration of quantum computers with high-performance computing clusters, designing and maintaining interfaces with SLURM and other HPC stacks to optimize resource scheduling and parallelization.
A junior role assisting in the design, development, and maintenance of scalable data pipelines and ETL processes, collaborating with data scientists and engineers, and optimizing data models. Core technologies include Python, SQL, cloud platforms (AWS/Azure/GCP), Snowflake, and distributed frameworks like Hadoop and Spark.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
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