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The Boeing Company is currently seeking a Software Engineers -DevSecOps (Associate or Experienced) to work in Berkeley, MO.. Assist in managing and maintain Amazon Web Services (AWS) or Microsoft Azure cloud-based and on premises infrastructures. Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment. Supports or Manages software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc). Mentors and advises junior teammates and development teams on best practices in DevSecOps, providing technical guidance and fostering a culture of knowledge sharing and continuous learning
Our Operations Team is seeking an on-site Manufacturing Test Engineer. Technical Expertise: Strong knowledge of RF and wireless communication technologies, (examples: Wi-Fi, Bluetooth, 5G, LTE), and spectrum analysis. Experience in programming and scripting for test automation (e.g., Python, LabVIEW, MATLAB, or C. Understanding of PCB testing, embedded systems, and firmware debugging. Process Development and Optimization: Experience with test development, including designing automated test systems and reducing test cycle times.
Python, AWS, Kubernetes, Terraform,and other leading tools. Founded by builders from companies like Google, Databricks, and Canva, they're moving fast to turn ambitious ideas into real-world systems.. Own infrastructure automation (IaC), Kubernetes-based deployments, and CI/CD pipelines.. Deep experience with cloud platforms (AWS preferred), Kubernetes, Terraform (or similar), and CI/CD systems.. Work alongside builders from top companies like Google and Databricks in a tight, fast-moving team.
We’re looking for a Principal Software Engineer, Full Stack with a passion for solving complex problems, owning architecture decisions, and building resilient, scalable systems.. ✅ Expertise in JavaScript/TypeScript , React , Node.js , and RESTful APIs.. ✅ Strong knowledge of databases (SQL/NoSQL), cloud infrastructure (AWS, GCP, or Azure), and modern DevOps practices (CI/CD, monitoring, etc. ⭐ FinTech or financial data experience (e.g., integrations with Plaid, QuickBooks, etc.). ⭐ Experience with Docker , Kubernetes , and infrastructure as code tools (e.g., Terraform)
Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft.. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV.. We are seeking a Machine Learning Engineer to implement, integrate, and optimize machine learning based features in production, collaborating closely with our Research and Engineering teams to deliver new capabilities that delight users in their 3D creation experiences.. Hands-on experience (academic or industry) implementing ML models in PyTorch or TensorFlow and integrating them into applications.. Experience with computer graphics or 3D modeling.
Key Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications MS or Ph. D. in Computer Science, Electrical Engineering, Machine Learning or related technical field. Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform.
We're looking for a Site Reliability Engineering Manager with extensive leadership and observability experience in cloud-based applications.. Tooling knowledge with Datadog, PagerDuty, and Atlassian (Jira, Confluence) is highly preferred to identify strategies to improve our full-stack telemetry and monitoring capabilities.. The SRE Manager will work cross-functionally with Infrastructure, Platform, and Product Engineering, combining operations work with software engineering principles to assist and contribute to the high availability of Checkr's systems.. including a containerized microservices architecture (AWS, Kong, Kubernetes, Kafka, MySQL, and MongoDB), CI/CD, full-stack monitoring, structured incident response, and a blameless postmortem culture. Software engineering project work, proposed and driven by individual SRE team members, to remove operational bottlenecks and increase velocity in ways we've never considered before
The Boeing Company is currently seeking a Software Engineers -DevSecOps (Associate or Experienced) to work in Berkeley, MO. We’re seeking a highly talented, motivated, and creative individual to support the existing capabilities of Air Proprietary 1 in the Air Dominance organization.. Assist in managing and maintain Amazon Web Services (AWS) or Microsoft Azure cloud-based and on premises infrastructures. Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment. Supports or Manages software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc). Mentors and advises junior teammates and development teams on best practices in DevSecOps, providing technical guidance and fostering a culture of knowledge sharing and continuous learning
Databricks (hands-on experience building scalable pipelines). Proficient in Scala and Python for data engineering tasks. Design, build, and maintain high-performance data pipelines using Databricks and Apache Spark. Hands-on experience with Databricks , Spark, and distributed data frameworks. Solid understanding of data warehousing, batch/streaming pipelines, and cloud platforms (AWS/Azure/GCP)
We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data.. Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP. Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML). Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc). Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc)
Create applications using artificial intelligence solutions. Train AI and machine learning models, selecting appropriate model architectures. Expertise with programming languages, frameworks, and platforms used by the team, such as C#, JavaScript/TypeScript, Python, Angular, or AWS. Sign in to set job alerts for “Artificial Intelligence Engineer” roles.. Python and Kubernetes Software Engineer - Data, AI/ML & Analytics We’re unlocking community knowledge in a new way.
Configuring and monitoring Kubernetes platforms, e.g., OpenShift and AWS EKS.. You ideally have a working knowledge of build tools, container technology (Docker and Kubernetes), Windows and Linux operating systems, microservices, networking, and shell scripting.. Southeastern Connecticut offers unlimited waterfront access from restaurants to parks, beaches and downtown areas, hundreds of miles of hiking trails, thrilling nightlife entertainment, fascinating history, and abundance of farms and vineyards with offerings of markets and farm-to-table dinners and is conveniently located at the mid-way point of Boston and New York City and within an hour drive of three major commercial airports.. Visit Southeastern Connecticut for the infamous lobster rolls, apple cider and steamed cheeseburgers and stay for the highly ranked schools, low crime rates and abundance of attractions.. Bachelor’s degree in an IT, Computer Science, Engineering, or related technical field
Founding Engineer - Hexagon.ai At Hexagon.ai , we're building a multi-agent orchestration platform designed to transform how enterprise vendors onboard, interact with, and manage their relationships with SMB customers.. Our first product is a data integration and migration platform that allows customer success teams to ingest and migrate client data (regardless of format) in just minutes, or enables end-customers to self-onboard.. What You’ll Do Build modern, performant frontend interfaces in React and TypeScript for interacting with multi-agent systems. What We’re Looking For Technical Excellence Experience building complex web applications with React and TypeScript. Nice to Have Experience building or integrating LLM-powered products or agent systems
Tool Proficiency: Leveraging automated testing tools and frameworks like Selenium, Cucumber, TestNG, etc., to build and maintain efficient test suites.. QA & Automation Expertise: In-depth knowledge of software QA methodologies, processes, and automated testing tools and frameworks.. Experience with API Testing: Experience testing APIs (RESTful, SOAP) used in annuity systems.. Quality Engineer - Industrial Gas Turbines Quality Engineer - Aerospace - Relocation Houston, TX $70,000.00-$90,000.00 2 weeks ago. Manufacturing Engineer - SPD Chip Production Houston, TX $75,000.00-$85,000.00 2 weeks ago
Learn more about what makes us different and how you can make your mark as an Application Architect at MMA.. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE : MMC).. API Management systems like Apigee, as well as REST API design and implementation.. Continuous integration with robust build and test automation, including cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory).
Rockwell Collins Inc. d/b/a Collins Aerospace has an opening for a Principal Engineer, Software Engineering in Cedar Rapids, IA.. Joining Collins Aerospace isn’t just about finding a job; it’s about embarking on a journey to redefine the future of aerospace technology.. Must possess at least a bachelor’s degree or its equivalent in Computer Science, Electronic Engineering or a related field and 8 years of progressive experience as a Software Engineer or related role.. In the alternative, at least a master’s degree or its equivalent in Computer Science, Electronic Engineering or a related field and 5 years of experience as a Software Engineer or related role would be acceptable.. Avionics : Our Avionics team advances flight deck solutions, airborne communications, vision systems, sensors and fire protection for commercial and military customers around the world.
You’ll be at the forefront of integrating Generative AI, LLM, and ML models into real products and workflows, using a modern AI tech stack that includes LangChain , LlamaIndex , CrewAI , Anthropic (Claude), OpenAI (GPT-4 and others), AWS Bedrock , and the Weaviate vector database.. This includes crafting embeddings, setting up hybrid search (vector + keyword), and ensuring data privacy in the vector store.. Experiment, Innovate, and Lead : Evaluate new tools, frameworks, and techniques in the fast-moving LLM ecosystem.. Inclusiveness : From bi-weekly company-wide town halls/all-hands meetings to regular huddles, OKR tribe meetings, celebratory dinner parties, and annual awards ceremonies held in the Metaverse, you'll be joining a truly inclusive and engaging workplace.. One of our two Dubai-based offices is in the DIFC FinTech Hive, which is the first and largest financial technology accelerator in the Middle East, Africa and South Asia (MEASA) region.
The Principal Architect is the senior-most technologist in the organization and acts as a strategic advisor to the CIO and the broader IT leadership team.. The Principal Architect will stay at the forefront of technology trends, identifying and championing innovations that can create a competitive advantage.. This individual will define the core technical "patterns"—reusable architectural and design blueprints—that guide the efforts of both the Platform Products & Services (PPS) and Business Products & Services (BPS) teams.. Partner with the leaders of BPS and PPS to ensure their teams have the right technical skills and architectural guidance to succeed.. Breadth and Depth: A deep, hands-on understanding across a broad spectrum of technologies, including cloud infrastructure (AWS & Microsoft preferred), enterprise software (ERP, SCM, HCM), data platforms, cybersecurity, and modern software development practices.
Design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns and leveraging AI/ML models hosted inhouse (vLLM, Nvidia Triton Inference Engines), on cloud (AWS Sagemaker, Google Vertex AI, Azure AI) for real-time and batch inference using OpenAI/Custom protocols.. Fine tune and adapt pre-trained models (GenAI, Predictive and Classification) using machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn) to build domain specific products. You will have had an emphasis on Python, Relational (Postgres) and Vector databases (FAISS, Weaviate, Milvus) & Cloud Platforms/Services (AWS, GCP, Azure).. Experience with machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn).. Experience with data engineering (ETL pipelines, data warehouses, etc.)
Lockheed Martin Aeronautics is seeking a full-time highly skilled Automation/AI Systems Engineer to join our team in designing, developing, and deploying cutting-edge automation, artificial intelligence (AI), and machine learning (ML) solutions.. Develop and integrate AI/ML models using various frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn). Implement automation solutions using scripting languages (e.g., Python, PowerShell) and automation frameworks (e.g., Ansible, Jenkins). Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, or scikit-learn). Those that demand extraordinary amounts of courage, resilience and precision.