Job Summary The NOC Engineer will execute tools, processes and metrics required to monitor and support our products and infrastructure. Handle events, incidents and escalations in accordance with formal procedures and serve as a primary interface to users, carriers and partner suppliers. Job Description Medline Industries, LP is seeking Engineers Network NOC to join our team in Libertyville, IL. Job Description Use tools, execute processes and track metrics required to monitor and support our products and infrastructure with the single goal of increasing availability. Handle events, incidents and escalations in accordance with formal procedures and serve as a primary interface to users, carriers and partner suppliers. Respond to and evaluate alerts/events in a timely manner. Proactively monitor infrastructure and applications to create and escalate issues when necessary. Perform level 2 and 3 troubleshooting, support and resolution of infrastructure issues. Create and maintain operational dashboards and reports to track and report infrastructure availability and service interruptions. Support the development and improvement of standards related to NOC tools and processes. Participate in quality assurance initiatives, including audits of assets, processes, and monitoring tools. Participate/lead all aspects of Incident resolution for Incidents escalated to the NOC, including leading conference calls and maintaining critical documentation. Coordinate incident resolution with field personnel, engineers, vendors, and management team. Ensure appropriate resources are engaged to resolve incidents according to their prioritization. Participate in timely and appropriate internal and external communication throughout the incident. Be a champion of incident management and event management principles and methods. Recognize and understand important infrastructure and application events. Participate in and recommend updates to the Event Management process. Ensure appropriate resources are engaged to acknowledge, manage and document all events. Demonstrated use of event and data analysis to translate event history into infrastructure configuration and architecture changes. Demonstrate a curiosity around detecting and resolving problems. Implement maintenance schedules for network elements. Coordinate notifications to client(s) with the Service Desk. Report project and operational status to management. Shift: this position will require working 2nd shift, from 2pm to 10pm central time. Telecommuting is permitted, but applicant must work from the worksite location at least 1-2 days per week. No additional national or international travel is anticipated. Job Requirements PRIMARY REQUIREMENTS: Bachelor's degree in information technology, Telecommunication Systems Management, or related filed, or its foreign equivalent, and 2 years of relevant work experience. In addition, experience with the following skills is required: (1) Experience performing IT Service Management processes including incident management and change management; (2) Experience using monitoring tools and processes including SolarWinds, Splunk, and AppDynamics; (3) Experience utilizing knowledge of IT networks, ISP Services, Routing Protocols, VoIP, Network Management, Routers, and Switches; (4) Experience utilizing knowledge of Advanced Windows System Administration and VMWare Systems; and (5) Experience working in an operations team that providing problem isolation, resolution, analytical and diagnostic. JOB SITE: 1910 Innovation Way, Libertyville, IL 60048 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $108,885.00 to $144,560.00 per year Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
04/22/2026
Full time
Job Summary The NOC Engineer will execute tools, processes and metrics required to monitor and support our products and infrastructure. Handle events, incidents and escalations in accordance with formal procedures and serve as a primary interface to users, carriers and partner suppliers. Job Description Medline Industries, LP is seeking Engineers Network NOC to join our team in Libertyville, IL. Job Description Use tools, execute processes and track metrics required to monitor and support our products and infrastructure with the single goal of increasing availability. Handle events, incidents and escalations in accordance with formal procedures and serve as a primary interface to users, carriers and partner suppliers. Respond to and evaluate alerts/events in a timely manner. Proactively monitor infrastructure and applications to create and escalate issues when necessary. Perform level 2 and 3 troubleshooting, support and resolution of infrastructure issues. Create and maintain operational dashboards and reports to track and report infrastructure availability and service interruptions. Support the development and improvement of standards related to NOC tools and processes. Participate in quality assurance initiatives, including audits of assets, processes, and monitoring tools. Participate/lead all aspects of Incident resolution for Incidents escalated to the NOC, including leading conference calls and maintaining critical documentation. Coordinate incident resolution with field personnel, engineers, vendors, and management team. Ensure appropriate resources are engaged to resolve incidents according to their prioritization. Participate in timely and appropriate internal and external communication throughout the incident. Be a champion of incident management and event management principles and methods. Recognize and understand important infrastructure and application events. Participate in and recommend updates to the Event Management process. Ensure appropriate resources are engaged to acknowledge, manage and document all events. Demonstrated use of event and data analysis to translate event history into infrastructure configuration and architecture changes. Demonstrate a curiosity around detecting and resolving problems. Implement maintenance schedules for network elements. Coordinate notifications to client(s) with the Service Desk. Report project and operational status to management. Shift: this position will require working 2nd shift, from 2pm to 10pm central time. Telecommuting is permitted, but applicant must work from the worksite location at least 1-2 days per week. No additional national or international travel is anticipated. Job Requirements PRIMARY REQUIREMENTS: Bachelor's degree in information technology, Telecommunication Systems Management, or related filed, or its foreign equivalent, and 2 years of relevant work experience. In addition, experience with the following skills is required: (1) Experience performing IT Service Management processes including incident management and change management; (2) Experience using monitoring tools and processes including SolarWinds, Splunk, and AppDynamics; (3) Experience utilizing knowledge of IT networks, ISP Services, Routing Protocols, VoIP, Network Management, Routers, and Switches; (4) Experience utilizing knowledge of Advanced Windows System Administration and VMWare Systems; and (5) Experience working in an operations team that providing problem isolation, resolution, analytical and diagnostic. JOB SITE: 1910 Innovation Way, Libertyville, IL 60048 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $108,885.00 to $144,560.00 per year Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
04/22/2026
Full time
AI/ML Engineer Core team $ 250K - $ 600K /yr compensation Required Skills Python LLMs RAG AWS About micro1 micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity. Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We've raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD). Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills for effective collaboration and documentation. Preferred Qualifications: Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. Prior exposure to government or highly regulated cloud environments and compliance standards.
Optimize Stateful Kubernetes & HPC works loads - including AI and GPUs Remote 1st Culture (US or Canada only) Series A Startup Base Salary $175k - $200K (depending on experience) + Equity Subject Matter Knowledge & Experience: External Client Interaction (Solutions Architecture - Pre Sales - Support) Containerization, Orchestration Kubernetes (Ops & integrating into Kubernetes) CLI expertise (Bash, Shell, Python, Go) Key Responsibilities Support, Guide, Design, and Integrate Solutions: Lead portions of external customer engagements ensuring seamless product implementation. Drive Platform Adoption and Client Success: Collaborate with internal teams (product, engineering, customer success) to promote platform adoption and ensure client satisfaction. Bridge gaps between teams to align strategies and deliver cohesive solutions that meet client needs. Master Cloud-Native Technologies and Services: Build deep expertise in cloud-native applications, microservices, and modern DevOps practices. Stay current with industry trends and leverage this to provide innovative, informed guidance and solutions to clients. Strategic Advice - Maximize Value - Advocacy creation Engage Clients - Technical Leaders including CloudOps, Systems, and similar. Build and nurture relationships with technical stakeholders. Offer strategic guidance to help clients fully leverage solutions, driving measurable value and fostering long-term advocacy for the platform. Technical Content Creation - Best Practices Develop practical, actionable high-quality technical content including Solution Guides, Reusable Sample Code, blog posts. Empower clients in overcoming technical challenges. Skills & Qualifications 7+ years in software engineering or solution architecture or sales engineer (or similar). Kubernetes 2+ years focused on Kubernetes or cloud-native platforms. Knowledge/understanding of Designing, Deploying & Managing AKS, EKS, GKE. Scripting Absolute comfort at the bash prompt. IaC expertise (Terraform). Python, Golang scripting proficiency. Understanding of Hybrid or multi-cloud architectures. Excellent communication skills, with an ability to convey technical solutions effectively to varied stakeholders. Bachelors or Masters degree in Computer Science, Engineering, or related.
04/22/2026
Optimize Stateful Kubernetes & HPC works loads - including AI and GPUs Remote 1st Culture (US or Canada only) Series A Startup Base Salary $175k - $200K (depending on experience) + Equity Subject Matter Knowledge & Experience: External Client Interaction (Solutions Architecture - Pre Sales - Support) Containerization, Orchestration Kubernetes (Ops & integrating into Kubernetes) CLI expertise (Bash, Shell, Python, Go) Key Responsibilities Support, Guide, Design, and Integrate Solutions: Lead portions of external customer engagements ensuring seamless product implementation. Drive Platform Adoption and Client Success: Collaborate with internal teams (product, engineering, customer success) to promote platform adoption and ensure client satisfaction. Bridge gaps between teams to align strategies and deliver cohesive solutions that meet client needs. Master Cloud-Native Technologies and Services: Build deep expertise in cloud-native applications, microservices, and modern DevOps practices. Stay current with industry trends and leverage this to provide innovative, informed guidance and solutions to clients. Strategic Advice - Maximize Value - Advocacy creation Engage Clients - Technical Leaders including CloudOps, Systems, and similar. Build and nurture relationships with technical stakeholders. Offer strategic guidance to help clients fully leverage solutions, driving measurable value and fostering long-term advocacy for the platform. Technical Content Creation - Best Practices Develop practical, actionable high-quality technical content including Solution Guides, Reusable Sample Code, blog posts. Empower clients in overcoming technical challenges. Skills & Qualifications 7+ years in software engineering or solution architecture or sales engineer (or similar). Kubernetes 2+ years focused on Kubernetes or cloud-native platforms. Knowledge/understanding of Designing, Deploying & Managing AKS, EKS, GKE. Scripting Absolute comfort at the bash prompt. IaC expertise (Terraform). Python, Golang scripting proficiency. Understanding of Hybrid or multi-cloud architectures. Excellent communication skills, with an ability to convey technical solutions effectively to varied stakeholders. Bachelors or Masters degree in Computer Science, Engineering, or related.
ONLY US CITIZEN ARE APPLICABLE Job Title: Business Analyst / Project Manager Location: Anaheim, California (Onsite 4 days/week) Duration: 6-Month Contract-to-Hire (CTH) Job Overview: The Business Analyst / Project Manager will support the Project Management Office (PMO) in driving project initiation, planning, execution, and monitoring. This role combines business analysis and project management responsibilities, focusing on gathering requirements, improving operational efficiency, managing project timelines, and ensuring successful delivery of projects within scope and budget. The candidate will work closely with stakeholders, cross-functional teams, and leadership to ensure alignment with organizational goals. Job Description: The selected candidate will be responsible for supporting all phases of the project lifecycle, including project initiation, estimation, execution, and performance reporting. The role involves collaborating with stakeholders to define business requirements, identifying inefficiencies, and implementing process improvements. The candidate will also manage project documentation, governance, and communication across teams while ensuring adherence to project management methodologies. Roles and Responsibilities: Business Analysis: Identify inefficiencies and recommend process improvements to enhance operational performance Gather, analyze, and document business requirements and assumptions Collaborate with stakeholders and department liaisons to define and clarify project requirements Assist in reviewing project requests and finalizing requirements with stakeholders Develop project solution proposals and related documentation Conduct data analysis using tools such as Excel Present project proposals and findings to stakeholders Project Management: Support PMO Manager in project planning and execution Develop and manage project plans, timelines, scope, and budgets Maintain project schedules, risk logs, issue logs, and documentation Monitor project performance and identify variances Prepare and present status reports and stakeholder updates Facilitate meetings, prepare agendas, and document outcomes Ensure project governance including milestone tracking, financial oversight, and documentation Coordinate tasks and deadlines with internal teams and stakeholders Apply project management methodologies throughout the project lifecycle Perform risk management and mitigation planning Required Qualifications and Certifications: Bachelors degree in Computer Science, Computer Engineering, or a related technical field Minimum 3 years of experience as a Business Analyst and/or Project Manager Certification in Project Management (e.g., PMP, CAPM) preferred Skills Required: Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Leadership skills with experience working across diverse teams Proficiency in data analysis using Microsoft Excel Experience in developing business requirements and documentation Familiarity with project management tools and methodologies Ability to manage multiple priorities in a fast-paced environment Strong organizational and time management skills Knowledge of technology environments including infrastructure, networking, and applications Ability to quickly learn business processes and adapt to changing requirements
04/22/2026
ONLY US CITIZEN ARE APPLICABLE Job Title: Business Analyst / Project Manager Location: Anaheim, California (Onsite 4 days/week) Duration: 6-Month Contract-to-Hire (CTH) Job Overview: The Business Analyst / Project Manager will support the Project Management Office (PMO) in driving project initiation, planning, execution, and monitoring. This role combines business analysis and project management responsibilities, focusing on gathering requirements, improving operational efficiency, managing project timelines, and ensuring successful delivery of projects within scope and budget. The candidate will work closely with stakeholders, cross-functional teams, and leadership to ensure alignment with organizational goals. Job Description: The selected candidate will be responsible for supporting all phases of the project lifecycle, including project initiation, estimation, execution, and performance reporting. The role involves collaborating with stakeholders to define business requirements, identifying inefficiencies, and implementing process improvements. The candidate will also manage project documentation, governance, and communication across teams while ensuring adherence to project management methodologies. Roles and Responsibilities: Business Analysis: Identify inefficiencies and recommend process improvements to enhance operational performance Gather, analyze, and document business requirements and assumptions Collaborate with stakeholders and department liaisons to define and clarify project requirements Assist in reviewing project requests and finalizing requirements with stakeholders Develop project solution proposals and related documentation Conduct data analysis using tools such as Excel Present project proposals and findings to stakeholders Project Management: Support PMO Manager in project planning and execution Develop and manage project plans, timelines, scope, and budgets Maintain project schedules, risk logs, issue logs, and documentation Monitor project performance and identify variances Prepare and present status reports and stakeholder updates Facilitate meetings, prepare agendas, and document outcomes Ensure project governance including milestone tracking, financial oversight, and documentation Coordinate tasks and deadlines with internal teams and stakeholders Apply project management methodologies throughout the project lifecycle Perform risk management and mitigation planning Required Qualifications and Certifications: Bachelors degree in Computer Science, Computer Engineering, or a related technical field Minimum 3 years of experience as a Business Analyst and/or Project Manager Certification in Project Management (e.g., PMP, CAPM) preferred Skills Required: Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Leadership skills with experience working across diverse teams Proficiency in data analysis using Microsoft Excel Experience in developing business requirements and documentation Familiarity with project management tools and methodologies Ability to manage multiple priorities in a fast-paced environment Strong organizational and time management skills Knowledge of technology environments including infrastructure, networking, and applications Ability to quickly learn business processes and adapt to changing requirements
Location: 100% Remote Notes: MUST HAVE ALL OF THESE TOP SKILLS Top Skills' Details 1. Design of Core and DC Networking with ACI or Arista 2. Design of Kubernetes networking 3. Design of Cloud networking 4. Design of Automation 5. Python or Go 6. Soft Skills enabling and experience with, meeting with business stakeholders to gather functional requirements of a solution and turning them into architectural design solutions. Secondary Skills - Nice to Haves SD-WAN SASE zero trust content delivery networks DNS Job Description Projects: o NDA, cant talk much, revolves around Kubernetes. Key Responsibilities: Deliver network solution designs supporting enterprise data centers, private cloud platforms, and public cloud environments Build, prototype, and validate network solution designs through hands-on engineering, lab environments, proofs of concept, and automation-driven implementations Define and evolve reference architectures, standards, and design patterns for hybrid-cloud and cloud-native networking Embed automation and Infrastructure as Code principles into network solution designs Anchor modern application platform designs in proven data-center networking fundamentals, including L2/L3 networking, routing, segmentation, EVPN/VXLAN fabrics, and high availability design principles Partner with platform, cloud, security, and application teams to translate requirements into scalable network solutions Produce clear, decision-oriented design documentation and participate in design and architecture review forums Evaluate emerging networking, cloud, and automation tech Skills needed: o Networking Data center networking (within data center; Connects servers, storage, and applications inside a data center, server-to-server; Leaf-Spine architecture, SDN, automation, AI/ML for optimization) BGP; VPN, VXLAN, anything around modern data center fabrics. Core networking (massive amounts of data, long distance; MPLS, DWDM, BGP, high-capacity optical fiber; Core networking; net design and build modern dc fabrics; Cisco ACI or Arista, different spine architectures; Kubernetes networking (see above) Cloud native networking attached to those fabrics. In this case its Kubernetes (link removed) of modern infra networking components like Cilium, Calico, or OVN-K CNIs in Kubernetes; knowing how to build architecture around BGP peering and Kuber clusters and dc networks and fabrics; how to ingress; traffic engineering (solutions to improve capacity, capacity management; design load balancing for apps running kubernets; everything around running modern app platforms on the dc network; Linux o Building and manage cloud connectivity: experience building large scale cloud connectivity solutions using AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect Network as a Service providers like Equinix fabric or Megaport or equivilant Ideally some experience with all 3 major CSPs for connectivity; not hard core in all 3; if they know how to build one they probably know how to build the others. o Automation, not developer. Comfortable with Terraform and Ansible. Doesnt matter which one, must be very comfortable with one, IaC overall and configuration as code concepts. Using premade but sometimes extend or modify or add to the solution, must know how to read it, etc. o Python and Go: build some tools or write some integration with one of those languages. Not a hard core. Read and script. o Observability & Network Visibility: Network and application observability, telemetry, and synthetic testing platforms such as Splunk, Prometheus, ThousandEyes, Kentik, or similar tools o Troubleshooting o Soft Skills: big component is ability interact different stakeholders; both tech (prince ng and archs) but also non-tech on the business side. Presentation skills and influence decision making the right way. Lots of personalities to navigate in the size and complexity of a company like HSBC. Nice to Have: o Familiarity with SD-WAN and SASE architectures, including how they integrate with hybrid-cloud environments o Understanding of Zero Trust networking concepts and identity-based access models o Exposure to content delivery networks (CDN) and global traffic optimization patterns o Knowledge of DNS architecture and design, including public, private, and hybrid resolution models o Experience working with platform engineering or internal developer platform teams
04/22/2026
Location: 100% Remote Notes: MUST HAVE ALL OF THESE TOP SKILLS Top Skills' Details 1. Design of Core and DC Networking with ACI or Arista 2. Design of Kubernetes networking 3. Design of Cloud networking 4. Design of Automation 5. Python or Go 6. Soft Skills enabling and experience with, meeting with business stakeholders to gather functional requirements of a solution and turning them into architectural design solutions. Secondary Skills - Nice to Haves SD-WAN SASE zero trust content delivery networks DNS Job Description Projects: o NDA, cant talk much, revolves around Kubernetes. Key Responsibilities: Deliver network solution designs supporting enterprise data centers, private cloud platforms, and public cloud environments Build, prototype, and validate network solution designs through hands-on engineering, lab environments, proofs of concept, and automation-driven implementations Define and evolve reference architectures, standards, and design patterns for hybrid-cloud and cloud-native networking Embed automation and Infrastructure as Code principles into network solution designs Anchor modern application platform designs in proven data-center networking fundamentals, including L2/L3 networking, routing, segmentation, EVPN/VXLAN fabrics, and high availability design principles Partner with platform, cloud, security, and application teams to translate requirements into scalable network solutions Produce clear, decision-oriented design documentation and participate in design and architecture review forums Evaluate emerging networking, cloud, and automation tech Skills needed: o Networking Data center networking (within data center; Connects servers, storage, and applications inside a data center, server-to-server; Leaf-Spine architecture, SDN, automation, AI/ML for optimization) BGP; VPN, VXLAN, anything around modern data center fabrics. Core networking (massive amounts of data, long distance; MPLS, DWDM, BGP, high-capacity optical fiber; Core networking; net design and build modern dc fabrics; Cisco ACI or Arista, different spine architectures; Kubernetes networking (see above) Cloud native networking attached to those fabrics. In this case its Kubernetes (link removed) of modern infra networking components like Cilium, Calico, or OVN-K CNIs in Kubernetes; knowing how to build architecture around BGP peering and Kuber clusters and dc networks and fabrics; how to ingress; traffic engineering (solutions to improve capacity, capacity management; design load balancing for apps running kubernets; everything around running modern app platforms on the dc network; Linux o Building and manage cloud connectivity: experience building large scale cloud connectivity solutions using AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect Network as a Service providers like Equinix fabric or Megaport or equivilant Ideally some experience with all 3 major CSPs for connectivity; not hard core in all 3; if they know how to build one they probably know how to build the others. o Automation, not developer. Comfortable with Terraform and Ansible. Doesnt matter which one, must be very comfortable with one, IaC overall and configuration as code concepts. Using premade but sometimes extend or modify or add to the solution, must know how to read it, etc. o Python and Go: build some tools or write some integration with one of those languages. Not a hard core. Read and script. o Observability & Network Visibility: Network and application observability, telemetry, and synthetic testing platforms such as Splunk, Prometheus, ThousandEyes, Kentik, or similar tools o Troubleshooting o Soft Skills: big component is ability interact different stakeholders; both tech (prince ng and archs) but also non-tech on the business side. Presentation skills and influence decision making the right way. Lots of personalities to navigate in the size and complexity of a company like HSBC. Nice to Have: o Familiarity with SD-WAN and SASE architectures, including how they integrate with hybrid-cloud environments o Understanding of Zero Trust networking concepts and identity-based access models o Exposure to content delivery networks (CDN) and global traffic optimization patterns o Knowledge of DNS architecture and design, including public, private, and hybrid resolution models o Experience working with platform engineering or internal developer platform teams
Job Description Location: Tacoma, WA Pay Range: $103,000 - $129,500 per year, depending on experience and qualifications Please note: This role is open to local candidates only. Relocation assistance is not available, and relocation at the candidate's own expense will not be considered. MITER Brands cannot offer visa sponsorship now or in the future. Join MITER Brands - Where Innovation Meets Craftsmanship MITER Brands is more than a window and door manufacturer-we're shaping the future of residential living. As the powerhouse behind trusted names like Milgard, MI Windows & Doors, and PGT, we are one of the nation's largest suppliers of vinyl windows and patio doors, with state-of-the-art facilities across the country. Why Work at MITER Brands? We are seeking a Database Administrator in the Tacoma, Washington area to support the stability, integrity, and efficient operation of MSSQL, MySQL, and related database systems that support core organizational functions. This role includes designing, installing, configuring, administering, and optimizing database components across the organization. There is a significant focus on Microsoft Azure, specifically Azure Synapse and data analytics. The Database Administrator will apply strong communication, analytical, and problem-solving skills to identify, communicate, and resolve issues, maximizing the value of IT systems investments. Responsibilities Azure Analytics and Infrastructure Engineering Promote changes in Azure DevOps to production Synapse environmentsManage Synapse pipelines and coordinate with infrastructure teams to deliver data solutionsDesign, build, and manage Azure infrastructure to support business demandTroubleshoot data issues related to the Enterprise BI platform in Azure Synapse and Power BI Database Administration Ensure all database servers are backed up in alignment with Recovery Point Objectives (RPO)Test backups to ensure Recovery Time Objectives (RTO) are metTroubleshoot SQL Server service outages, including after-hours and weekendsConfigure SQL Server monitoring tools to minimize false alarmsInstall and configure new SQL Server environmentsDeploy approved database change scripts from vendors or internal teamsDiagnose and resolve performance issues through server, index, or query optimizationDocument the company's database environmentPlan and manage database capacity, storage, disk space, and growthProactively identify and resolve locking/blocking and concurrency issuesMonitor database server health and configure alerts for performance issuesManage database security per company standards Qualifications On-call troubleshooting experience for at least one production SQL Server for a minimum of one yearYou may not have held the DBA title, but you were the primary escalation point when SQL services experienced issuesExperience analyzing DMV queries to assess server-level performanceHands-on experience with tools such as:Extended Events, DTASQL Profiler, DMVs, Data CollectionStrong T-SQL query tuning skills3-7 years of relevant experienceExpertise in database schema design, normalization, and indexing strategiesExperience with data modeling tools and methodologiesKnowledge of backup strategies and disaster recovery planningUnderstanding of data warehousing concepts and designExperience with ETL (Extract, Transform, Load) processes and tools Certifications (Optional but Beneficial) Microsoft Certified: Azure Database Administrator AssociateCertified MySQL Database AdministratorMongoDB Certified DBA What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
04/22/2026
Full time
Job Description Location: Tacoma, WA Pay Range: $103,000 - $129,500 per year, depending on experience and qualifications Please note: This role is open to local candidates only. Relocation assistance is not available, and relocation at the candidate's own expense will not be considered. MITER Brands cannot offer visa sponsorship now or in the future. Join MITER Brands - Where Innovation Meets Craftsmanship MITER Brands is more than a window and door manufacturer-we're shaping the future of residential living. As the powerhouse behind trusted names like Milgard, MI Windows & Doors, and PGT, we are one of the nation's largest suppliers of vinyl windows and patio doors, with state-of-the-art facilities across the country. Why Work at MITER Brands? We are seeking a Database Administrator in the Tacoma, Washington area to support the stability, integrity, and efficient operation of MSSQL, MySQL, and related database systems that support core organizational functions. This role includes designing, installing, configuring, administering, and optimizing database components across the organization. There is a significant focus on Microsoft Azure, specifically Azure Synapse and data analytics. The Database Administrator will apply strong communication, analytical, and problem-solving skills to identify, communicate, and resolve issues, maximizing the value of IT systems investments. Responsibilities Azure Analytics and Infrastructure Engineering Promote changes in Azure DevOps to production Synapse environmentsManage Synapse pipelines and coordinate with infrastructure teams to deliver data solutionsDesign, build, and manage Azure infrastructure to support business demandTroubleshoot data issues related to the Enterprise BI platform in Azure Synapse and Power BI Database Administration Ensure all database servers are backed up in alignment with Recovery Point Objectives (RPO)Test backups to ensure Recovery Time Objectives (RTO) are metTroubleshoot SQL Server service outages, including after-hours and weekendsConfigure SQL Server monitoring tools to minimize false alarmsInstall and configure new SQL Server environmentsDeploy approved database change scripts from vendors or internal teamsDiagnose and resolve performance issues through server, index, or query optimizationDocument the company's database environmentPlan and manage database capacity, storage, disk space, and growthProactively identify and resolve locking/blocking and concurrency issuesMonitor database server health and configure alerts for performance issuesManage database security per company standards Qualifications On-call troubleshooting experience for at least one production SQL Server for a minimum of one yearYou may not have held the DBA title, but you were the primary escalation point when SQL services experienced issuesExperience analyzing DMV queries to assess server-level performanceHands-on experience with tools such as:Extended Events, DTASQL Profiler, DMVs, Data CollectionStrong T-SQL query tuning skills3-7 years of relevant experienceExpertise in database schema design, normalization, and indexing strategiesExperience with data modeling tools and methodologiesKnowledge of backup strategies and disaster recovery planningUnderstanding of data warehousing concepts and designExperience with ETL (Extract, Transform, Load) processes and tools Certifications (Optional but Beneficial) Microsoft Certified: Azure Database Administrator AssociateCertified MySQL Database AdministratorMongoDB Certified DBA What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
Job Description Manager, IT Infrastructure Company: MITER Brands Locations: Gratz, PA Harrisburg, PA Venice, FL Work Model: Onsite (primary location) with travel Travel: 8-12 trips per year to key sites Compensation: $104K-$130K base, plus 10% target annual bonus About the Role MITER Brands is seeking a hands on Manager, IT Infrastructure to lead and unify infrastructure operations across a multi site manufacturing enterprise. This role sits at the center of on prem infrastructure ownership-servers, storage, virtualization, networking, data centers, and security-and plays a critical part in standardizing how infrastructure is designed, operated, and supported across the organization. This is a working manager role. You'll lead a distributed team of engineers and administrators while remaining deeply technical-designing, troubleshooting, and improving infrastructure in a hybrid environment that includes on prem data centers, hosted providers, and public cloud integrations. Key Responsibilities Lead and support the IT Infrastructure team (6 direct reports) across multiple data centers and locationsOwn lifecycle management for data center infrastructure including servers, storage, hypervisors, networking, power, and coolingDrive standardization of:Operating system configurationServer patch managementInfrastructure build and deployment practicesDesign, implement, and support hyper converged infrastructure, with an emphasis on Nutanix (VMware to Nutanix migration in progress)Maintain and evolve enterprise services including:Active Directory and Microsoft Server servicesLinux server environmentsStorage and virtualization platformsEnsure infrastructure availability, performance, scalability, and securitySupport security audits and compliance initiatives for infrastructure systemsManage infrastructure projects end to end: planning, prioritization, execution, and deliveryOversee vendor relationships, contracts, renewals, and capital purchasing (>$ spend)Coach and develop infrastructure team members, aligning skills with core initiativesTake full ownership of production systems, including monitoring, documentation, and knowledge sharing (ServiceNow) Required Qualifications Strong hands on experience in enterprise on prem infrastructureDeep knowledge of:Microsoft Active Directory & Windows ServerStorage, virtualization, and hypervisors (Nutanix highly preferred)Networking fundamentals and performance troubleshootingData center operations (power, cooling, physical infrastructure)Experience managing lifecycle planning, capacity planning, and infrastructure scalingProven ability to lead engineers while remaining technically involvedExperience supporting audits, security initiatives, and infrastructure complianceVendor management and procurement experienceManufacturing or multi site enterprise experience strongly preferred What Sets This Role Apart 60% hands on technical workHigh ownership over infrastructure strategy and executionOpportunity to unify infrastructure practices across 20 manufacturing facilities and 4 data centersStrong influence without heavy executive presentation requirementsClear mandate to modernize and standardize infrastructure Ready to Lead and Build? If you're an infrastructure leader who enjoys staying technical, driving standards, and taking full ownership of production systems in a complex enterprise environment, we'd love to connect. Apply today or reach out directly to learn more about how this role can be your next step in building scalable, resilient infrastructure at MITER Brands. What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
04/22/2026
Full time
Job Description Manager, IT Infrastructure Company: MITER Brands Locations: Gratz, PA Harrisburg, PA Venice, FL Work Model: Onsite (primary location) with travel Travel: 8-12 trips per year to key sites Compensation: $104K-$130K base, plus 10% target annual bonus About the Role MITER Brands is seeking a hands on Manager, IT Infrastructure to lead and unify infrastructure operations across a multi site manufacturing enterprise. This role sits at the center of on prem infrastructure ownership-servers, storage, virtualization, networking, data centers, and security-and plays a critical part in standardizing how infrastructure is designed, operated, and supported across the organization. This is a working manager role. You'll lead a distributed team of engineers and administrators while remaining deeply technical-designing, troubleshooting, and improving infrastructure in a hybrid environment that includes on prem data centers, hosted providers, and public cloud integrations. Key Responsibilities Lead and support the IT Infrastructure team (6 direct reports) across multiple data centers and locationsOwn lifecycle management for data center infrastructure including servers, storage, hypervisors, networking, power, and coolingDrive standardization of:Operating system configurationServer patch managementInfrastructure build and deployment practicesDesign, implement, and support hyper converged infrastructure, with an emphasis on Nutanix (VMware to Nutanix migration in progress)Maintain and evolve enterprise services including:Active Directory and Microsoft Server servicesLinux server environmentsStorage and virtualization platformsEnsure infrastructure availability, performance, scalability, and securitySupport security audits and compliance initiatives for infrastructure systemsManage infrastructure projects end to end: planning, prioritization, execution, and deliveryOversee vendor relationships, contracts, renewals, and capital purchasing (>$ spend)Coach and develop infrastructure team members, aligning skills with core initiativesTake full ownership of production systems, including monitoring, documentation, and knowledge sharing (ServiceNow) Required Qualifications Strong hands on experience in enterprise on prem infrastructureDeep knowledge of:Microsoft Active Directory & Windows ServerStorage, virtualization, and hypervisors (Nutanix highly preferred)Networking fundamentals and performance troubleshootingData center operations (power, cooling, physical infrastructure)Experience managing lifecycle planning, capacity planning, and infrastructure scalingProven ability to lead engineers while remaining technically involvedExperience supporting audits, security initiatives, and infrastructure complianceVendor management and procurement experienceManufacturing or multi site enterprise experience strongly preferred What Sets This Role Apart 60% hands on technical workHigh ownership over infrastructure strategy and executionOpportunity to unify infrastructure practices across 20 manufacturing facilities and 4 data centersStrong influence without heavy executive presentation requirementsClear mandate to modernize and standardize infrastructure Ready to Lead and Build? If you're an infrastructure leader who enjoys staying technical, driving standards, and taking full ownership of production systems in a complex enterprise environment, we'd love to connect. Apply today or reach out directly to learn more about how this role can be your next step in building scalable, resilient infrastructure at MITER Brands. What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/22/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/22/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/22/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications Bachelor's Degree At least 7 years of experience with application architecture and design patterns. At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
We are seeking a Senior Test Automation Engineer to own, evolve, and scale our automation ecosystem across a mission-critical Fintech platform. This role blends pure automation, SDET-level engineering depth, and platform-level infrastructure ownership. You will design and maintain automation frameworks, build test tooling, integrate deeply with CI/CD, and ensure our systems are validated with speed, reliability, and engineering rigor. You'll work in a PCI-DSS Level 1 environment, supporting a Node.js/React architecture deployed on AWS. You'll pair with engineers, practice TDD, and leverage AI-augmented tooling (Claude Code) to accelerate high-quality delivery. This role is central to reducing manual regression cycles, supporting product expansion, and replacing legacy manual testing with scalable automation. Key Responsibilities Automation Framework Ownership Lead the design, development, and maintenance of automated test frameworks. Build reusable test libraries, utilities, and harnesses for UI, API, and integration testing. Drive the implementation of automated test frameworks with a focus on reliability, maintainability, and performance. SDET-Level Engineering Write high-quality, testable JavaScript/TypeScript code to validate complex system behaviors. Build custom automation tooling, mocks, stubs, and data generators. Contribute to testability improvements across the monolith through code reviews and pairing. Platform-Level Test Infrastructure Own test execution pipelines in GitLab CI/CD. Maintain Dockerized test environments and ephemeral test infrastructure. Integrate automated tests into deployment workflows to ensure fast, stable releases. Collaborate with DevOps to optimize test performance and environment reliability. Own / support manual testing where required in key functional areas where automation is lacking. API, Performance, and Mobile Testing Build and maintain API test suites using Postman, REST Assured, Karate, or custom harnesses. Implement performance and load testing using Artillery. Support mobile/browser compatibility testing via BrowserStack. Compliance-Aware Testing Produce test artifacts aligned with PCI-DSS Level 1 expectations. Ensure automated tests generate reliable, reviewable evidence for auditors and internal stakeholders. Apply secure testing practices (API keys, whitelisting, environment isolation). Ways of Working Participate in a pairing culture with engineers and QA peers. Practice TDD and contribute to a two-week release cadence. Participate in on-call rotation as part of shared engineering responsibility. Use Jira extensively for test planning, execution, and traceability. Leverage AI-augmented tooling (Claude Code) to accelerate test creation and maintenance. Required Qualifications 5+ years of experience in test automation or SDET roles. Strong proficiency in JavaScript/TypeScript. Deep experience with Cypress and working knowledge of Playwright (or strong desire to adopt it). Strong API testing experience (Postman, REST Assured, Karate, or equivalent). Experience with performance testing tools (Artillery preferred). Hands-on experience with AWS services (Lambda, ECS, EC2, EKS, SQS, DynamoDB, RDS). Experience with GitLab CI/CD and Docker. Strong understanding of testing strategies for cloud platform architectures. Ability to produce clean, auditable test artifacts suitable for regulated environments. Excellent communication skills and comfort pairing with engineers. Preferred Qualifications Experience implementing automation frameworks (e.g., Cypress, Playwright). Experience with AI-augmented testing tools (Claude Code, GitHub Copilot, etc.). Experience in Fintech, payments, or other regulated environments. Familiarity with Terraform or infrastructure-as-code concepts. Experience with BrowserStack or similar mobile/browser testing platforms. Why This Role Exists We are strengthening our automation capabilities. This role is essential to: Reduce manual regression cycles Build a scalable, modern automation platform Support rapid product expansion Replace manual testing with reliable, maintainable automation You will play a key role in shaping the future of our testing strategy and ensuring our platform remains stable, secure, and ready for growth. What Success Looks Like Within 6-12 months, a successful Senior Test Automation Engineer will have: Delivered a stable, scalable automation framework Reduced manual regression cycles significantly Increased test coverage across UI, API, and integration layers Improved CI/CD reliability and test execution speed Become a trusted partner to engineering, product, and compliance teams
04/22/2026
Full time
We are seeking a Senior Test Automation Engineer to own, evolve, and scale our automation ecosystem across a mission-critical Fintech platform. This role blends pure automation, SDET-level engineering depth, and platform-level infrastructure ownership. You will design and maintain automation frameworks, build test tooling, integrate deeply with CI/CD, and ensure our systems are validated with speed, reliability, and engineering rigor. You'll work in a PCI-DSS Level 1 environment, supporting a Node.js/React architecture deployed on AWS. You'll pair with engineers, practice TDD, and leverage AI-augmented tooling (Claude Code) to accelerate high-quality delivery. This role is central to reducing manual regression cycles, supporting product expansion, and replacing legacy manual testing with scalable automation. Key Responsibilities Automation Framework Ownership Lead the design, development, and maintenance of automated test frameworks. Build reusable test libraries, utilities, and harnesses for UI, API, and integration testing. Drive the implementation of automated test frameworks with a focus on reliability, maintainability, and performance. SDET-Level Engineering Write high-quality, testable JavaScript/TypeScript code to validate complex system behaviors. Build custom automation tooling, mocks, stubs, and data generators. Contribute to testability improvements across the monolith through code reviews and pairing. Platform-Level Test Infrastructure Own test execution pipelines in GitLab CI/CD. Maintain Dockerized test environments and ephemeral test infrastructure. Integrate automated tests into deployment workflows to ensure fast, stable releases. Collaborate with DevOps to optimize test performance and environment reliability. Own / support manual testing where required in key functional areas where automation is lacking. API, Performance, and Mobile Testing Build and maintain API test suites using Postman, REST Assured, Karate, or custom harnesses. Implement performance and load testing using Artillery. Support mobile/browser compatibility testing via BrowserStack. Compliance-Aware Testing Produce test artifacts aligned with PCI-DSS Level 1 expectations. Ensure automated tests generate reliable, reviewable evidence for auditors and internal stakeholders. Apply secure testing practices (API keys, whitelisting, environment isolation). Ways of Working Participate in a pairing culture with engineers and QA peers. Practice TDD and contribute to a two-week release cadence. Participate in on-call rotation as part of shared engineering responsibility. Use Jira extensively for test planning, execution, and traceability. Leverage AI-augmented tooling (Claude Code) to accelerate test creation and maintenance. Required Qualifications 5+ years of experience in test automation or SDET roles. Strong proficiency in JavaScript/TypeScript. Deep experience with Cypress and working knowledge of Playwright (or strong desire to adopt it). Strong API testing experience (Postman, REST Assured, Karate, or equivalent). Experience with performance testing tools (Artillery preferred). Hands-on experience with AWS services (Lambda, ECS, EC2, EKS, SQS, DynamoDB, RDS). Experience with GitLab CI/CD and Docker. Strong understanding of testing strategies for cloud platform architectures. Ability to produce clean, auditable test artifacts suitable for regulated environments. Excellent communication skills and comfort pairing with engineers. Preferred Qualifications Experience implementing automation frameworks (e.g., Cypress, Playwright). Experience with AI-augmented testing tools (Claude Code, GitHub Copilot, etc.). Experience in Fintech, payments, or other regulated environments. Familiarity with Terraform or infrastructure-as-code concepts. Experience with BrowserStack or similar mobile/browser testing platforms. Why This Role Exists We are strengthening our automation capabilities. This role is essential to: Reduce manual regression cycles Build a scalable, modern automation platform Support rapid product expansion Replace manual testing with reliable, maintainable automation You will play a key role in shaping the future of our testing strategy and ensuring our platform remains stable, secure, and ready for growth. What Success Looks Like Within 6-12 months, a successful Senior Test Automation Engineer will have: Delivered a stable, scalable automation framework Reduced manual regression cycles significantly Increased test coverage across UI, API, and integration layers Improved CI/CD reliability and test execution speed Become a trusted partner to engineering, product, and compliance teams
Duties and Responsibilities: Working closely with the Office of the Chief Financial Officer (OCFO) and other District government stakeholders. The successful candidate will design, implement, and maintain the AWS Connect cloud-based contact center, ensuring optimal performance and alignment with business objectives. Key Responsibilities: 1) Design and Configuration: a) Design, document, and implement contact flows using the AWS Connect to ensure optimal and dynamic call routing based on business requirements. b) Utilize Amazon Connect to develop and deploy chatbots and conversational AI for automated customer interactions within Connect contact flows. c) Configure and maintain Amazon Connect instances, user profiles, routing profiles, and security profiles. 2) Metrics and Reporting: a) Ensure all metrics required for Key Performance Indicator (KPI) management are collected and available within AWS Connect. b) Configure and maintain custom dashboards and reports in Amazon Connect and Amazon QuickSight for business units to monitor team performance. c) Regularly review usage data from Amazon Connect's cloud monitoring tools, such as Amazon CloudWatch, and report findings to the supervisor. 3) Outbound Campaigns and Surveys: a) Set up and manage outbound voice campaigns and customer surveys using Amazon Connect Outbound Campaigns and Contact Flows. b) Ensure campaigns comply with relevant regulations, including managing caller ID settings, call times, and contact attempts. 4) Integration and Optimization: a) Design and implement integrations between AWS Connect and other systems, including CRMs, using AWS Lambda and other AWS services. b) Continuously review and enhance designs based on feedback to improve operational efficiency, reliability, and availability of the contact center. 5) Security and Compliance: a) Collaborate with security staff and supervisors to document and implement processes and procedures that ensure AWS Connect comply with District, OCIO, and relevant security controls. b) Apply appropriate change control and configuration management processes for all modifications to the production environment. 6) Troubleshooting and Support: a) Identify and resolve technical issues related to the AWS Connect environment, providing timely updates to the supervisor. b) Implement system revisions to maintain and improve overall performance. Education: Engineering, or a related field or The equivalent combination of education and successful work experience Qualifications: • Amazon Connect CCaaS Hands on experience, not AWS infrastructure. • Hands on AWS CI/CD experienceto deploy code and customize AWS connect services. • AWS certifications, such as AWS Certified Solutions Architect or Developer, can demonstrate expertise in the platform. (Preferred) • A minimum of 3 years Hands-on experience with Amazon Connect and other AWS cloud services is essential. • Experience with scripting and integrating various AWS services, such as Lambda, DynamoDB, and S3, to build and enhance contact center functionalities. • Experience with other cloud platforms and a strong understanding of Voice over IP (VoIP), Customer Experience (CX) strategies, and system integration. • In-depth, hands-on experience with Amazon Connect, including contact flow creation, call routing, and user management. • Demonstrated experience configuring and utilizing Amazon Connect's native reporting and dashboard capabilities for KPI management. • Experience with other AWS services that integrate with Amazon Connect, such as Lambda, Lex, and S3. • Strong understanding of workforce optimization (Forecast Capacity planning and Scheduling, FCS), best practices and how to implement them within the AWS Connect ecosystem. • Proven ability to work effectively with cross-functional teams, including IT project managers, business analysts, security staff, and business leaders. • Effective communication skills for gathering requirements, providing technical explanations, and collaborating with stakeholders. Skill Required /Desired Amount of Experience Candidate Experience Hands on experience w/ Amazon Connect CCaaS, not AWS infrastructure Required 0 Hands on AWS CI/CD experience to deploy code and customize AWS connect services Required 0 Hands-on experience with Amazon Connect and other AWS cloud services is essential. Required 3 Years Scripting and integrating various AWS services, such as Lambda, DynamoDB, and S3, to build and enhance contact center functionalities. Required 0 Experience with other cloud platforms and a strong understanding of Voice over IP (VoIP), Customer Experience (CX) strategies, and system integration. Required 3 Years In-depth, hands-on experience with Amazon Connect, including contact flow creation, call routing, and user management. Required 0 Demonstrated experience configuring and utilizing Amazon Connect's native reporting and dashboard capabilities for KPI management. Required 0 Experience with other AWS services that integrate with Amazon Connect, such as Lambda, Lex, and S3. Required 0 Workforce optimization (Forecast Capacity planning and Scheduling, FCS), best practices and how to implement them within the AWS Connect ecosystem. Required 0 Bachelor's degree in Computer Science, Information Technology Engineering or a related field; The equivalent combination of education and experience Required 0 AWS certifications, such as AWS Certified Solutions Architect or Developer, can demonstrate expertise in the platform Highly desired 0
04/22/2026
Full time
Duties and Responsibilities: Working closely with the Office of the Chief Financial Officer (OCFO) and other District government stakeholders. The successful candidate will design, implement, and maintain the AWS Connect cloud-based contact center, ensuring optimal performance and alignment with business objectives. Key Responsibilities: 1) Design and Configuration: a) Design, document, and implement contact flows using the AWS Connect to ensure optimal and dynamic call routing based on business requirements. b) Utilize Amazon Connect to develop and deploy chatbots and conversational AI for automated customer interactions within Connect contact flows. c) Configure and maintain Amazon Connect instances, user profiles, routing profiles, and security profiles. 2) Metrics and Reporting: a) Ensure all metrics required for Key Performance Indicator (KPI) management are collected and available within AWS Connect. b) Configure and maintain custom dashboards and reports in Amazon Connect and Amazon QuickSight for business units to monitor team performance. c) Regularly review usage data from Amazon Connect's cloud monitoring tools, such as Amazon CloudWatch, and report findings to the supervisor. 3) Outbound Campaigns and Surveys: a) Set up and manage outbound voice campaigns and customer surveys using Amazon Connect Outbound Campaigns and Contact Flows. b) Ensure campaigns comply with relevant regulations, including managing caller ID settings, call times, and contact attempts. 4) Integration and Optimization: a) Design and implement integrations between AWS Connect and other systems, including CRMs, using AWS Lambda and other AWS services. b) Continuously review and enhance designs based on feedback to improve operational efficiency, reliability, and availability of the contact center. 5) Security and Compliance: a) Collaborate with security staff and supervisors to document and implement processes and procedures that ensure AWS Connect comply with District, OCIO, and relevant security controls. b) Apply appropriate change control and configuration management processes for all modifications to the production environment. 6) Troubleshooting and Support: a) Identify and resolve technical issues related to the AWS Connect environment, providing timely updates to the supervisor. b) Implement system revisions to maintain and improve overall performance. Education: Engineering, or a related field or The equivalent combination of education and successful work experience Qualifications: • Amazon Connect CCaaS Hands on experience, not AWS infrastructure. • Hands on AWS CI/CD experienceto deploy code and customize AWS connect services. • AWS certifications, such as AWS Certified Solutions Architect or Developer, can demonstrate expertise in the platform. (Preferred) • A minimum of 3 years Hands-on experience with Amazon Connect and other AWS cloud services is essential. • Experience with scripting and integrating various AWS services, such as Lambda, DynamoDB, and S3, to build and enhance contact center functionalities. • Experience with other cloud platforms and a strong understanding of Voice over IP (VoIP), Customer Experience (CX) strategies, and system integration. • In-depth, hands-on experience with Amazon Connect, including contact flow creation, call routing, and user management. • Demonstrated experience configuring and utilizing Amazon Connect's native reporting and dashboard capabilities for KPI management. • Experience with other AWS services that integrate with Amazon Connect, such as Lambda, Lex, and S3. • Strong understanding of workforce optimization (Forecast Capacity planning and Scheduling, FCS), best practices and how to implement them within the AWS Connect ecosystem. • Proven ability to work effectively with cross-functional teams, including IT project managers, business analysts, security staff, and business leaders. • Effective communication skills for gathering requirements, providing technical explanations, and collaborating with stakeholders. Skill Required /Desired Amount of Experience Candidate Experience Hands on experience w/ Amazon Connect CCaaS, not AWS infrastructure Required 0 Hands on AWS CI/CD experience to deploy code and customize AWS connect services Required 0 Hands-on experience with Amazon Connect and other AWS cloud services is essential. Required 3 Years Scripting and integrating various AWS services, such as Lambda, DynamoDB, and S3, to build and enhance contact center functionalities. Required 0 Experience with other cloud platforms and a strong understanding of Voice over IP (VoIP), Customer Experience (CX) strategies, and system integration. Required 3 Years In-depth, hands-on experience with Amazon Connect, including contact flow creation, call routing, and user management. Required 0 Demonstrated experience configuring and utilizing Amazon Connect's native reporting and dashboard capabilities for KPI management. Required 0 Experience with other AWS services that integrate with Amazon Connect, such as Lambda, Lex, and S3. Required 0 Workforce optimization (Forecast Capacity planning and Scheduling, FCS), best practices and how to implement them within the AWS Connect ecosystem. Required 0 Bachelor's degree in Computer Science, Information Technology Engineering or a related field; The equivalent combination of education and experience Required 0 AWS certifications, such as AWS Certified Solutions Architect or Developer, can demonstrate expertise in the platform Highly desired 0
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Leads to support our Phantom Works Software Engineering team located in Berkeley, MO. This position is required to be in Berkeley, MO, but may be performed from any other Boeing U.S. location including Mesa, AZ, Colorado Springs, CO, Arlington, VA or El Segundo, CA with significant travel to Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. This role will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team. This position is responsible for defining, developing, and leading the software development for real-time software air and/or space systems in an Agile software development environment. Integration across other teams of software and hardware components will be required. You will be working with some of the best engineers at Boeing in an inclusive team environment. At The Boeing Company, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Position Responsibilities: Develop, own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 5+ years of experience in leading efforts in analyzing and translating requirements into system architecture, hardware and software designs and interface specifications Experience as an Agile Systems or Software Development Team Lead 5+ years of experience with the DevSecOps lifecycle 5+ years of experience of DevOps experience (Git, Jenkins, or other CI/CD tools) 5+ years of experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare, and VersionOne 1+ years of Proficient with scripting/programming languages used for automation and testing (e.g., Python, Bash) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Active U.S. Top Secret Security Clearance, or clearance active within past 24 months (U.S. Citizenship required) Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. Travel: 10% if based in Berkeley, MO; 50% travel is based outside of Berkeley, MO Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184, 450 - $286,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race . click apply for full job details
04/22/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Leads to support our Phantom Works Software Engineering team located in Berkeley, MO. This position is required to be in Berkeley, MO, but may be performed from any other Boeing U.S. location including Mesa, AZ, Colorado Springs, CO, Arlington, VA or El Segundo, CA with significant travel to Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. This role will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team. This position is responsible for defining, developing, and leading the software development for real-time software air and/or space systems in an Agile software development environment. Integration across other teams of software and hardware components will be required. You will be working with some of the best engineers at Boeing in an inclusive team environment. At The Boeing Company, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Position Responsibilities: Develop, own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 5+ years of experience in leading efforts in analyzing and translating requirements into system architecture, hardware and software designs and interface specifications Experience as an Agile Systems or Software Development Team Lead 5+ years of experience with the DevSecOps lifecycle 5+ years of experience of DevOps experience (Git, Jenkins, or other CI/CD tools) 5+ years of experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare, and VersionOne 1+ years of Proficient with scripting/programming languages used for automation and testing (e.g., Python, Bash) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Active U.S. Top Secret Security Clearance, or clearance active within past 24 months (U.S. Citizenship required) Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. Travel: 10% if based in Berkeley, MO; 50% travel is based outside of Berkeley, MO Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184, 450 - $286,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race . click apply for full job details
ZOLLER Inc. is headquartered in Ann Arbor, Michigan, and is widely known as the global market leader in tool presetting and measuring machines, inspection machines and tool management software. We have offices around the world, are expanding continuously and are interested in self-motivated, experienced professionals. ZOLLER, Inc. is currently seeking an Applications Engineer to support our team. Applications Engineer Responsibilities: Software: Calibrating ZOLLER image processing software Modifying software settings according to the customer-specific needs and workflow Modifying software on-site for format generating for machine-specific data transfer Modifying postprocessors based on the customer machine controls Training customers on ZOLLER machine software and hardware: 95% of training is software; 5% mechanical Installing and training TMS Tool Management Solutions software at customer locations Analyzing, testing, modifying customer systems or software based on system design specifications Advising customers on technical specifications; recommending unique software and computer configurations Managing SQL databases hosted on SQL servers Demonstrating software features during ZOLLER meetings or customer presentations Mechanical: Performing maintenance on electronic and pneumatic components Installing and mechanical alignment of ZOLLER tool presetter and measuring machines Consulting with users to determine hardware, software or system functional specifications Training customers on hardware: 95% of training is software; 5% mechanical Analyzing, testing or modification of customer systems Understanding complex customer network infrastructures and recognizing customer needs Reading schematics and wiring diagrams related to electrical components Operating system hardware and software to demonstrate tool presetters and analyze malfunctions Advising and making recommendations to management regarding customer satisfaction, product performance and product improvements Requirements: Must not require sponsorship to work in the United States now or in the future. Bachelor's degree in manufacturing, information technology, software or equivalent work experience Demonstrate strong information technology aptitude, computer networks and related work experience Have experience with computers, networking, software, namely Windows NT and other Windows programs, Microsoft Office, Crystal Reports and DBMS Possess a current passport and valid driver's license Have knowledge of CAM interfaces including Mastercam ESPRIT, Gibbs, Siemens NX, others Have knowledge and experience with NC-programming Work a flexible schedule including weekends Travel Monday through Friday Travel outside of specified region Self-motivation and ability to work independently and within a team This is a full-time position offering competitive salary commensurate with one's experience, 401K with employer contribution, health and dental insurance, PTO and paid holidays. We are interested in a long-term commitment.
04/22/2026
Full time
ZOLLER Inc. is headquartered in Ann Arbor, Michigan, and is widely known as the global market leader in tool presetting and measuring machines, inspection machines and tool management software. We have offices around the world, are expanding continuously and are interested in self-motivated, experienced professionals. ZOLLER, Inc. is currently seeking an Applications Engineer to support our team. Applications Engineer Responsibilities: Software: Calibrating ZOLLER image processing software Modifying software settings according to the customer-specific needs and workflow Modifying software on-site for format generating for machine-specific data transfer Modifying postprocessors based on the customer machine controls Training customers on ZOLLER machine software and hardware: 95% of training is software; 5% mechanical Installing and training TMS Tool Management Solutions software at customer locations Analyzing, testing, modifying customer systems or software based on system design specifications Advising customers on technical specifications; recommending unique software and computer configurations Managing SQL databases hosted on SQL servers Demonstrating software features during ZOLLER meetings or customer presentations Mechanical: Performing maintenance on electronic and pneumatic components Installing and mechanical alignment of ZOLLER tool presetter and measuring machines Consulting with users to determine hardware, software or system functional specifications Training customers on hardware: 95% of training is software; 5% mechanical Analyzing, testing or modification of customer systems Understanding complex customer network infrastructures and recognizing customer needs Reading schematics and wiring diagrams related to electrical components Operating system hardware and software to demonstrate tool presetters and analyze malfunctions Advising and making recommendations to management regarding customer satisfaction, product performance and product improvements Requirements: Must not require sponsorship to work in the United States now or in the future. Bachelor's degree in manufacturing, information technology, software or equivalent work experience Demonstrate strong information technology aptitude, computer networks and related work experience Have experience with computers, networking, software, namely Windows NT and other Windows programs, Microsoft Office, Crystal Reports and DBMS Possess a current passport and valid driver's license Have knowledge of CAM interfaces including Mastercam ESPRIT, Gibbs, Siemens NX, others Have knowledge and experience with NC-programming Work a flexible schedule including weekends Travel Monday through Friday Travel outside of specified region Self-motivation and ability to work independently and within a team This is a full-time position offering competitive salary commensurate with one's experience, 401K with employer contribution, health and dental insurance, PTO and paid holidays. We are interested in a long-term commitment.
