Embedded Operations Manager with Active Secret Clearance

Striveworks supports organizations in applying artificial intelligence to address national security and business needs. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization straightforward. Their work centers on building adaptable and scalable systems that perform reliably as demands grow and technolo…

Striveworks applies artificial intelligence to national security and commercial challenges. The team connects data, models, and business outcomes, aiming to streamline deployment and optimize performance over time. Projects focus on building AI systems that can adapt as needs shift, supporting data-driven decisions in demanding environments. This Machine Learning Engineer role is based at Schofield Barracks, Hawaii, and requires an active Secret clearance. The position follows a hybrid work model, combining on-site work at customer locations with some remote flexibility. Travel is part of the job, up to 30 percent, and may include international assignments. What you will do Develop machine learning pipelines and analytics for a range of data types, including image, video, text, geospatial, time series, and structured data. Automate and streamline complex data engineering and analytic workflows. Design and, when needed, implement core product features. Conduct fieldwork to directly support clients and stakeholders. Collaboration and focus Work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into operational solutions. Much of the work centers on Striveworks’ AI operations platform, Chariot, enhancing its capabilities and delivering practical results for clients. Work environment Hybrid schedule: on-site at Schofield Barracks and customer locations in Hawaii. Travel up to 30 percent, including possible international trips. Active Secret clearance is required for this position.

Striveworks is looking for a Data Scientist with an active Secret clearance to join the team at Schofield Barracks, Hawaii. This hybrid position supports national security missions and requires up to 30% travel, which may include international assignments. Role overview This role focuses on shaping projects and products from the start, serving as a technical architect on initiatives that use Striveworks’ AI operations platform, Chariot. Collaboration is central: you will work alongside data scientists, machine learning engineers, software developers, and DevOps specialists to turn advanced models into practical, reliable products. The position also contributes to the ongoing development of the Chariot platform. Key responsibilities Design and validate machine learning models and custom analytic algorithms for a range of data types, including images, video, text, geospatial information, time series, and structured datasets. Build and implement AI-powered software for deployment in both cloud and edge environments. Conduct fieldwork to support customers and stakeholders. What makes a strong candidate Technical expertise in data science and software engineering. Motivation to solve real-world problems and deliver results. Customer-focused approach, with clear communication and a methodical, rigorous work style. Ability to identify repeatable value and turn customer feedback into actionable recommendations for product teams. Comfort working with shifting requirements and collaborating across multiple disciplines. Work location and travel This hybrid position is based at customer sites in Schofield Barracks, Hawaii. Travel up to 30% is required, and may include international trips.

Striveworks is seeking a Senior DevOps Engineer to join the team at Schofield Barracks, Hawaii. This position requires an active Secret clearance and centers on deploying and optimizing Striveworks’ AI-driven software for national security and business clients. Role overview This engineer leads product deployments from the ground up, working across both on-premises and cloud environments. The role involves managing technical implementation projects, integrating and configuring solutions, and applying Infrastructure-as-Code (IaC) practices to ensure consistent, reliable deployments. Launching new instances of Striveworks’ AI operations (AIOps) for client infrastructures is a key focus. What you will do Automate IaC for managing virtual machines and deploying containers, services, and infrastructure components. Deploy custom Kubernetes clusters across AWS, Azure, GCP, on-premises, or hybrid cloud environments. Collaborate with platform developers, other DevOps engineers, and customer-facing teams to define requirements and deliver solutions tailored to client needs. Deploy software to various environments, including commercial, unclassified, Controlled Unclassified Information (CUI), and classified Department of Defense (DOD) networks. Respond to incidents and perform initial triage for critical system faults. This position is part of the DevOps team, with a focus on monitoring, automating, and improving the reliability, performance, and availability of software across multiple projects. Requirements Active Secret clearance Experience with Infrastructure-as-Code, Kubernetes, and cloud environments (AWS, Azure, GCP) Ability to work on both on-premises and hybrid deployments