Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed)

We have a diverse team with a variety of skill sets, many have:

• 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
• Prior experience at an API technology company and / or managing technical customers using an API
• A technical degree in computer science, engineering, or related field
• Proficiency in Python, SQL or other programming languages
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

About Virtru:

While the rest of the security industry obsesses over locking data down to prevent it from being lost or stolen, we're doing something fundamentally different at Virtru. We're setting data free so that you can intentionally share it with others, but without sacrificing security, privacy, or control.

We've created both a suite of powerful data protection applications and an open platform that's sparking an ecosystem of innovation. Through the Trusted Data Format (TDF) open standard, we're not just protecting data; we're creating a new paradigm where security enables sharing rather than preventing it.

Think of us as the Android of data protection: a robust platform with an open core that developers and partners can build upon, coupled with our own best-in-class applications that showcase what's possible when you reimagine security from the ground up.

Backed by Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global, we're helping Fortune 500 companies and government agencies discover that true data security means having the freedom to share, collaborate, and innovate — without compromise.

Compensation: $170,000-$220,000 base salary

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in driving continuous improvements in observability, performance, and reliability across our platform infrastructure. Your mission will be to enhance the operational excellence of our systems, making a significant impact on data privacy and security initiatives within the federal government sector.

Key Responsibilities:

• Deploy and configure Virtru's Data Security Platform (DSP) in customer and partner environments
• Lead technical integration projects with government agencies to ensure successful adoption of data protection solutions
• Collaborate with customer technical teams to customize and optimize DSP implementations for specific use cases
• Provide technical guidance and support during the deployment phase of customer engagements
• Work directly with government clients to troubleshoot integration challenges and ensure project success
• Document deployment processes and create technical guides for customer teams

Requirements:

• Active U.S. TS Clearance required, w/ CI poly preferred 
• Minimum of 5+ years of experience as a deployment engineer or solutions engineer, with expertise in customer-facing technical implementations and system integrations in government environments.
• Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub.
• Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure.
• Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm.
• Ability to excel both independently and as part of a collaborative team.
• Effective communication and collaboration skills with the on-site customer and the support team.

Willingness to work onsite and travel to meet mission requirements. 

Application: 

If you are an experienced engineer with a passion for driving excellence in data privacy and security, we encourage you to apply for this exciting opportunity at Virtru. Join us in our mission to redefine data protection standards and create a brighter future for digital privacy.

Virtruvian qualities that will set you up for success:

• Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
• Strong sense of urgency with an action-oriented mindset
• Able to collaborate and adapt to shifting priorities as business needs evolve
• Comfortable with asynchronous communication including slack, email, zoom, etc.

Perks & Benefits: 

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…

• A Flexible PTO policy — we strongly encourage you to take a minimum of 25 days off annually (in addition to 12 federal holidays) to ensure that you are getting the proper time needed to unplug and recharge.
• A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
• Home-Office Stipend to help make your office space more comfortable and productive.
• Internal mobility options for those interested in exploring their skills in other areas of the business
• Frequent company-sponsored Team Celebrations that provide ample opportunities to connect with teammates and be social!
• Access to an Employee Assistance Program.
• Access to Headspace, a mental health app tailored to your specific needs.
• A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority. The Council also hosts a range of events throughout the year focused on the continual education of our teammates on social justice issues, current events, and marginalized cultures and communities. 

Additional perks include: 

• Competitive compensation
• Generous parental, medical, and bereavement policies
• Uncapped commissions for Sales roles
• 401K contribution and stock options
• Full medical, dental, and vision benefits
• New Hire Swag and IT Welcome boxes
• Structured semi-annual 360° performance reviews
• Transparency is at the core of how we operate and everything we do! 

There are plenty of opportunities to connect with the team in person throughout the year, both in and out of the office, whether they be team-specific or company-wide celebrations and events.

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

The Field Program Manager (FPM) is a hands-on leader aligned to a US Army Division HQ who serves as Striveworks’ primary program leadership presence for the Next Generation Command and Control (NGC2) program. This is an “ownership” role, not a coordination role; you are the primary authority for delivery, customer relationships, and growth. The FPM collaborates across a small, cross-functional project team to drive execution against the program roadmap and is the person Striveworks leadership calls when something is at risk. This position is designed for someone who has experience in complex Army environments, who understands how Division-level decisions are actually made, and who is done watching technology fail to land because nobody owned the last mile.

At Striveworks, you are trusted to operate autonomously, step into vacuums, and advocate for the end user with technical specificity. Success is measured by presence and follow-through rather than slide decks. You will serve as the company’s voice in the room, translating customer friction points into actionable technical roadmaps while maintaining a persistent pulse on how capabilities are utilized in the field. We value proactive problem-solvers who can mitigate execution risks independently and ensure that mission-critical systems land effectively within the formation.

Day-to-day responsibilities:

• Own the relationship: Serve as the primary point of contact for all stakeholders, from end users to Division leadership, to build trust and ensure long-term retention
• Drive growth: Identify expansion opportunities within the formation and surface competitive threats or “win signals” to leadership with enough lead time to act
• Define success: Diagnose operational problems before the customer names them, ensuring that Striveworks’ capabilities are providing measurable value
• Bridge the technical gap: Translate field needs into specific, actionable inputs for the engineering team to ensure that product development matches mission reality
• Execute the roadmap: Synchronize technical delivery with contractual milestones, the customer’s operational calendar, and exercise cycles to ensure on-time execution
• Mitigate risk: Identify delivery obstacles early, and autonomously resolve execution issues—escalating them to leadership only with recommended courses of action, not problems

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time to our customer sites at Schofield Army Barracks in Oߵahu, Hawaiߵi.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor’s degree and 4–6+ years of experience with military operations at Division (2-star) level or higher 
• Demonstrated experience planning and directing the execution of complex, multi-stakeholder project activities; proven team leadership in high-accountability environments
• Track record of building and sustaining rapport and trust with senior military and civilian stakeholders across different organizational levels
• Strong written and verbal communication; able to operate credibly across Soldier-level and executive-level audiences in the same day
• Technical fluency to engage software engineers and data scientists as an informed, non-technical counterpart; the ability to translate customer needs to contractual requirements
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Former Field Grade Officer or Senior NCO, or similar
• Direct experience implementing or integrating battlefield technology within Army formations; you’ve seen a capability succeed or fail at the unit level, and you know why it happened
• Familiarity with DOD IT, network, and communications infrastructure as an operational reality, not just a technical concept
• Working knowledge of agile software delivery practices; able to hold a technical team accountable to a cadence without micromanaging the engineering
• Meaningful exposure to machine learning/AI capabilities in operational or defense contexts—enough to recognize value, identify misuse, and advocate credibly for the customer
• Aptitude with customer success or account management functions within a defense technology vendor

The anticipated base pay range for this position is $145,000–$185,000/year. For candidates located in Hawaiߵi, the anticipated base pay range for this position is $175,000–$220,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the Role:

We are seeking a Platform Engineer with an active Top Secret/SCI clearance to play a pivotal role in automating and orchestrating our critical infrastructure. This position is ideal for a technical expert passionate about deploying, managing, and optimizing system infrastructures using the latest technologies in system automation, container orchestration, and open-source applications. You'll be based in San Diego, Ca or Oahu, Hi and work on projects vital to national security and technological advancement.

Key Responsibilities:

• Implement and manage system automation using Ansible and Puppet, ensuring efficient configuration across RHEL and Windows platforms
• Deploy and maintain Kubernetes clusters with RKE2 and Rancher, focusing on scalability, reliability, and security
• Manage a wide array of open-source applications (NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, GitLab), enhancing our capabilities in data processing, storage, and monitoring
• Ensure the highest level of system performance and security across all platforms and technologies
• Collaborate with teams to understand project requirements, providing technical solutions that align with strategic goals
• Maintain comprehensive documentation on system configurations, deployments, and operational practices

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline
• 7+ years of hands-on experience managing enterprise Linux and Windows systems, including:
  • Configuration management with Ansible and Puppet
  • Kubernetes operations (RKE2 and Rancher preferred)
• Strong troubleshooting and problem-solving skills in complex, distributed environments
• Ability to communicate effectively across technical and non-technical stakeholders and work collaboratively within cross-functional teams

Preferred Skills:

• Master’s degree in Computer Science, IT, Engineering, or a related field
• Experience operating and supporting the following technologies in production environments:
  • NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn
  • Grafana, Prometheus, Loki, Promtail
  • GitLab and CI/CD pipelines
• Deep understanding of containerization and cloud-native architectures
• Demonstrated experience with system performance tuning, capacity planning, and reliability engineering

Clearance Requirements:

• Active Top Secret with ability to obtain and maintain SCI

Work Type:

• Onsite at Oahu, Hawaii
• May require up to 10% travel

Salary Range: $100,000 - $170,000

• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you: 

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) with company match
• Take as you need PTO + 14 paid holidays
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Your Rights: California residents have the right to request information about personal data collected and to request deletion, subject to certain exceptions. Note that employment-related information is subject to specific exemptions under CCPA. Contact Us: For questions about this notice or to exercise your privacy rights, contact: operations@teamraft.com or (703)570-4820.

Accenture Federal Services is currently seeking a Field Service Representative to join our team. In this role you will provide professional Information Technology (IT) support for our federal client. The program provides software, hardware, storage and network connectivity to various federal locations.

Responsibilities: 

• Address and follow up on requests received in help desk queue
• Investigate incidents, identify and implement solutions
• Provide support for hardware/software issues over the phone and in person
• Support end users with SOCET GXP Geospatial Intelligence Software
• Support end users with ArcGIS Enterprise Platform, GeoServer Suite, and other GIS tools
• Deploy, configure, and troubleshoot user workstations
• Support passive and active network infrastructure
• Deploy, configure, and troubleshoot standard and proprietary supported applications (MS Office, Web Browsers, Antivirus and others)
• Provide on-site application training, software distribution, patch management, and firmware updates to GEOINT analysts in the field • Log all requests into Ticketing System
• Document and escalate call tickets to related IT groups for further support
• Follow up on resolved requests to ensure customer satisfaction

Here's what you need:

• Knowledge/experience with GEOINT toolsets such as:  SOCET GXP, GXP explorer, ArcGIS Enterprise Platform (including ArcGIS Pro), GeoServer Suite, ENVI, QT Modeler, Jira, or Sketchup Pro.
• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Knowledge of intelligence oversight and security guidelines
• Experience with workstation imaging processes/software
• Strong knowledge of deployment, configuration and troubleshooting of workstation hardware 

Nice to have:

• Knowledge of the intelligence cycle and the analytical process that acts on collection to produce information for intelligence databases and products.
• IAW DOD 8570.01-M, DFARS 252.239.7001, and AR 25-2, Contractor employees supporting IA/IT functions must be baseline certified to at least IAT Level 2
• Knowledge of the intelligence cycle and the analytical process that acts on collection to produce information for intelligence databases and products.
• Knowledge of intelligence oversight and security guidelines
• Excellent communication skills to effectively interface with senior military officials, managers, and colleagues.
• Excellent analytical skills
• Ability to work independently and as part of a team
• Excellent communication skills to effectively interface with senior military officials, managers, and colleagues.

Clearance:

• An active TS/SCI federal security clearance is required

#LI-Defense 

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

The Embedded Operations Manager is Striveworks’ permanent, on-the-ground presence at a US Army Division HQ, accountable for the “last mile” of the NGC2 program. Partnered with the Field Program Manager and Technical Lead, you bridge the gap between high-level program intent and daily tactical execution. This role is designed for a mission-driven professional who thrives on proximity to the Soldier and understands that in an operational environment, presence and follow-through are the only currency that matters. You are the critical link that determines whether Striveworks is viewed as a vendor or a trusted partner.

Operating with high autonomy, you manage the ground-level logistics, readiness, and relationships that keep the program moving. An Embedded Operations Manager operates with autonomy, sound judgment, and an ownership mentality—not because someone is watching, but because the mission demands it. This role requires someone who can hold the ground professionally when the rest of the team is remote, who can read a room full of Soldiers and a room full of senior leaders with equal credibility, and who knows instinctively when to solve a problem and when to escalate one. As an operations manager, you take personal ownership of the mission. You are the program’s earliest warning system, ensuring that our software engineers and data scientists are perfectly synced with the unit’s operational reality.

Day-to-day responsibilities:

• Ensure operational readiness: Own the preparation and execution checklists for all exercise cycles and operations, avoiding preventable gaps in systems or facilities access
• Manage on-site logistics: Lead end-to-end ground logistics, including equipment accountability, teammate enablement, and local project team coordination
• Cultivate Soldier-level trust: Build deep, daily relationships across the formation to ensure that Striveworks’ capabilities are integrated into the unit’s actual workflow
• Act as an early warning system: Identify and surface customer friction points, sentiment shifts, and emerging requirements to leadership with enough lead time to act
• Resolve ground-level issues: Handle customer exceptions and satisfaction issues autonomously, escalating scope changes or senior commander demands to the Field Program Manager
• Coordinate field execution: Synchronize on-site team activities with the technical roadmap, ensuring ground-level progress alignment to operational requirements
• Maintain situational awareness: Provide continuous updates on delivery risks and blockers to ensure that program leadership is never surprised by conditions on the ground

This position offers a hybrid/on-site work environment at customer sites at Schofield Army Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 15% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor’s degree or equivalent demonstrated experience and 3+ years of experience with military operations at brigade level or higher; someone who understands how formations operate, not just how they’re organized
• Demonstrated ability to operate autonomously in ambiguous, high-stakes environments; sound judgment about when to act and when to escalate
• Track record of building trust with Soldiers and senior leaders through presence and follow-through—not rank or slide decks
• Strong written and verbal communication across organizational levels; able to represent Striveworks credibly in any room at the formation
• Sufficient technical fluency to participate meaningfully in software delivery conversations without leading them
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Direct experience with Army battlefield technology implementations at the unit level; you’ve watched a capability land well or fail badly, and you know the difference
• Familiarity with DOD IT, network, and communications infrastructure as an operator, not just an observer
• Experience with systems-account management, system access administration, or similar on-site enablement responsibilities in a DOD environment
• Prior experience in an embedded, liaison, or resident role with a defense technology vendor or program office
• Exposure to agile software delivery practices—enough to track a sprint, understand a backlog, and ask the right questions of a technical team
• Enough familiarity with machine learning/AI capabilities in operational contexts to explain basic value propositions to a skeptical Soldier

The anticipated base pay range for this position is $155,000–$180,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the Role:

We are seeking a Platform Engineer with an active Top Secret/SCI clearance to play a pivotal role in automating and orchestrating our critical infrastructure. This position is ideal for a technical expert passionate about deploying, managing, and optimizing system infrastructures using the latest technologies in system automation, container orchestration, and open-source applications. You'll be based in San Diego, Ca and work on projects vital to national security and technological advancement.

Key Responsibilities:

• Implement and manage system automation using Ansible and Puppet, ensuring efficient configuration across RHEL and Windows platforms
• Deploy and maintain Kubernetes clusters with RKE2 and Rancher, focusing on scalability, reliability, and security
• Manage a wide array of open-source applications (NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, GitLab), enhancing our capabilities in data processing, storage, and monitoring
• Ensure the highest level of system performance and security across all platforms and technologies
• Collaborate with teams to understand project requirements, providing technical solutions that align with strategic goals
• Maintain comprehensive documentation on system configurations, deployments, and operational practices

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline
• 7+ years of hands-on experience managing enterprise Linux and Windows systems, including:
  • Configuration management with Ansible and Puppet
  • Kubernetes operations (RKE2 and Rancher preferred)
• Strong troubleshooting and problem-solving skills in complex, distributed environments
• Ability to communicate effectively across technical and non-technical stakeholders and work collaboratively within cross-functional teams

Preferred Skills:

• Master’s degree in Computer Science, IT, Engineering, or a related field
• Experience operating and supporting the following technologies in production environments:
  • NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn
  • Grafana, Prometheus, Loki, Promtail
  • GitLab and CI/CD pipelines
• Deep understanding of containerization and cloud-native architectures
• Demonstrated experience with system performance tuning, capacity planning, and reliability engineering

Clearance Requirements:

• Active Top Secret with ability to obtain and maintain SCI

Work Type:

• Onsite in San Diego, California
• May require up to 10% travel

Salary Range: $100,000 - $170,000

• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you: 

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) with company match
• Take as you need PTO + 14 paid holidays
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Your Rights: California residents have the right to request information about personal data collected and to request deletion, subject to certain exceptions. Note that employment-related information is subject to specific exemptions under CCPA. Contact Us: For questions about this notice or to exercise your privacy rights, contact: operations@teamraft.com or (703)570-4820.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience 
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $175,000–$205,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

As a Forward Deployed Engineer at AFS, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client’s vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations.

Day-to-Day Responsibilities

• Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients’ needs.
• Data Synthesis: Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
• Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
• Production-Grade Solutions: Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.
• Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

What We Look For

• Client Success Obsession: A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value.
• Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.
• Technical Proficiency: Proficiency in relevant programming languages (e.g., Python, TypeScript) and the ability to build applications that utilize large structured and unstructured datasets in production environments.
• Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver’s seat.
• Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products.
• Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams.
• Willingness to Travel: Flexibility to travel as needed for client implementation work.

In this role, you’ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations function by providing powerful tools to those who can drive change.

Here’s what you need:

• Palantir Foundry: Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows: 

  • Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies 
  • General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer 
  • Data pipeline development in Foundry
    
    • Develop transforms on structured (tabular) and unstructured datasets in Foundry 
    • Apply best practices when building data pipelines 
  • Data pipeline maintenance in Foundry 
    • Effectively investigate and fix common issues in data pipelines 
    • Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows 
    • Familiarity with recommended support structures 
  • Data connection and integration in Foundry 
    • Familiarity with architecture and capabilities of Data Connection 
    • Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry 
  • Ontology design and development in Foundry 
    • Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements 
• Bachelor’s degree in Computer Science or related field
• Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets  
• Strong foundation in machine learning
• Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar
• Ability to travel, dependent on client and team

Bonus points if you have: 

• Experience building solutions with large language models
• Active government security clearance #LI-DataAI

#LI-DataAI

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior DevOps Engineer at Striveworks, you will be challenged—and trusted—on day one to take ownership of specific product deployments by maintaining, optimizing, and enhancing our on-premises and cloud computing environments. You will play a crucial role in the successful deployment of our software solutions to clients. You will be responsible for executing technical aspects of implementation projects and for ensuring the seamless integration, customization, and configuration of our software. You will be responsible for maintaining Striveworks’ software deployments using Infrastructure-as-Code (IaC) methodologies. Your expertise will play a critical role for the company as we deploy new instances of Striveworks’ AI operations (AIOps) capabilities to customer infrastructure.

You are right for this opportunity if you value and possess technical expertise and you enjoy pushing the boundaries of your capabilities. 

Your day-to-day will include:

• Automating IaC to manage virtual machines and deploy containers, services, and other infrastructure; applying your expertise to deploy custom Kubernetes clusters in AWS, Azure, GCP, on-premises, or hybrid cloud environments
• Working with platform developers, other DevOps teammates, and customer-facing teams to define requirements and build solutions for customer use cases of the platform
• Software deployments to commercial and, later, unclassified, CUI, and classified Department of Defense (DOD) networks
• Incident response and initial triage of critical system faults

The Senior DevOps Engineer works on the DevOps team. You will be responsible for monitoring, automating, and improving software reliability, performance, and availability for various projects. You will also act as a liaison between platform developers and customer-facing teams, taking on operational tasks to ensure the efficient functioning of Striveworks’ solutions. You will work alongside a team of software engineers and data scientists to help them deploy and operate their work as functional products, learning from them so that building effective AI solutions becomes second nature. You might provide guidance and leadership to junior DevOps team members.

You will directly contribute to the success of mission-critical systems within national security and commercial clients. You will be expected to wear multiple hats and to step into vacuums where improvements are needed, and you will be given the breadth to explore new technologies and solutions. 

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks  in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• 6+ years of direct, hands-on experience in:
• Python and/or Golang programming or other general-purpose programming languages
• Microservice deployment in Kubernetes
• Diagnosing and resolving issues within containerized environments
• Helm Chart and Kustomizations development/deployment
• Automation and IaC (e.g., Terraform, Ansible)
• Cloud infrastructure (e.g., AWS, Azure, GCP, or OpenStack)
• Managing and troubleshooting Linux systems (e.g., RHEL, Ubuntu, CentOS)
• The ability to work cross functionally to define requirements and build solutions for customer use cases of the platform
• The ability to respond professionally and competently to incident reports and triage critical system faults in environments where customers are present
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We are very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with DOD networking, tools, infrastructure, security requirements, and policies 
• Proficiency with US federal information system security policies, including Security Technical Implementation Guides (STIGs), NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503
• Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD
• Experience with DevSecOps/DevOps and CI/CD for the administration and deployment of GPU-enabled servers
• Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects
• Experience with network-attached storage (NAS) and storage area network (SAN) technologies
• Experience with Kubernetes and cloud-native applications and services in denied, disrupted, intermittent, and limited (DDIL) impact environments 

The anticipated base pay range for this position is $200,000 to $250,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $175,000–$205,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

What You’ll be Owning:

• We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education.
• Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics.  

What You Must Have:

• Bachelor’s Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience 
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).  College-level requirements, or upper-level math courses designated as elementary or basic do not count.  Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred
• Active TS/SCI w/poly

What Would Be Nice to Have:

• Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics,
• Statistics, computer science, and application specific knowledge.
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.