Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance!

Core One is seeking a Junior Experimentation Analyst to support the program. This position requires an active TS/SCI clearance. 

Roles & Responsibilities: 

• Lead and support experimentation activities—including modeling, simulations, tabletop exercises, wargames, red teaming, prototyping, and demonstrations—to assess warfighter capabilities, solution designs, and performance across the DOTmLPF-P spectrum.
• Plan, coordinate, and execute EXFOR and SOF experimentation events from concept through post-execution review, including scenario development, scripting, training, facilitation, and senior leader seminar or workshop support.
• Conduct analytical assessments using commercial and government toolsets to evaluate technology feasibility, reliability, resiliency, and applicability to SOF missions.
• Provide subject matter expertise on emerging and advanced technologies; maintain relationships with SOF AT&L, Service and Joint S&T organizations, DARPA, and other DoD partners.
• Produce and deliver key products—reports, briefs, information papers, moderator guides, staff materials, and event documentation—capturing findings, lessons learned, and recommendations for future planning and experimentation.
• Develop POA&Ms, milestone schedules, and DOTmLPF-P assessments to identify gaps, evaluate alternatives, and inform strategic guidance such as SOF Operating Guidance, FPG, and SPG.
• Support and participate in planning conferences, working groups, forums, and technology engagements to coordinate stakeholders, refine scenarios, and advance experimentation objectives.
• Maintain mission-continuity resources, including centralized electronic reference materials and key points of contact accessible to all stakeholders.
• Prepare reports and presentations using Microsoft Office products, including Outlook, PowerPoint, Word, Excel, and Access.
• Travel up to 25% monthly in support of events, coordination, and stakeholder engagements.

Requirements:

• Bachelor’s degree from an accredited institution.
• At least 3 years of strategic or operational-level experience (military, contractor, or civilian) working with DoD Services or Combatant Commands in support of strategic engagement activities such as wargames, experimentation, Warfighter Talks, and senior-level Service conferences or events.
• 3+ years of experience in planning, concept development, analysis of alternatives, scenario development and execution, modeling and simulation, experimentation, design theory, and/or analytical methods used to assess networked environments and atypical simulation outcomes.
• At least 3 years of cumulative experience within USSOCOM organizations in a military, government civilian, or contractor capacity.
• Minimum of 3 years of experience planning large-scale events (30+ participants) for senior leadership, including researching and recommending venues, organizing and executing site surveys, and briefing site survey findings to government stakeholders.
• 3 years of experience conducting defense-focused research on emerging technologies, or integrating intelligence and operational information to build scenarios, studies, and analyses.
• 3 years of experience producing operational products that capture exercise results and lessons learned to inform future exercise planning and requirements development.
• At least 3 years of experience preparing and delivering written and verbal products to general/flag-level command staff.
• 5 years of experience using Microsoft Office applications, including SharePoint, Word, PowerPoint, Access, Excel, and related tools.

Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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Manager, Site Reliability Engineering

Reports to: VP, Product Engineering 

While proximity to Tampa is preferred to support hybrid schedule in Tampa Center of Excellence, we’re open to remote candidates who can support the Eastern Time Zone.

Lead the architecture, automation, and reliability of secure, scalable cloud infrastructure (AWS, GCP) and developer platforms within a cybersecurity context. Inspire DevOps excellence, deliver high availability, and drive operational resilience—all while mentoring a high-caliber SRE team. Lead and grow a small high caliber global SRE Team, managing US based engineers. Lead the architecture, automation, and reliability of secure, scalable cloud infrastructure (AWS, GCP) and developer platforms within a cybersecurity context. Inspire DevOps excellence, deliver high availability, and drive operational resilience—all while mentoring and managing a high-caliber SRE team. 

What You’ll Do:

• Lead and grow the SRE team, setting direction, mentoring and managing engineers, and fostering excellence.
• Design and manage cloud and containerized infrastructure with IaC (Terraform).
• Implement robust CI/CD pipelines integrating security and compliance.
• Build scalable observability systems, leading the definition of SLIs / SLOs and dashboards.
• Manage incident response, root cause analysis, and postmortems; automate recovery via playbooks/runbooks.
• Drive capacity planning, performance tuning, and cost efficiency.
• Collaborate with InfoSec, DevSecOps, and Compliance teams—ensuring alignment with frameworks like FedRAMP, NIST, RMF.
• Support program-level initiatives, communicating effectively with stakeholders.
• Promote a culture of reliability, security, and developer efficiency.
• Maintain an active 'player' role, dedicating approximately 75% of your time to hands-on engineering (design, coding, and architecture) and 25% to leadership, mentorship, and management.

What You’ll Bring:

• 8+ years in SRE, DevOps, or Platform Engineering; with technical leadership experience ready to step into management as a player/coach.
• Proven cloud experience (AWS, GCP) and container orchestration (Kubernetes, Docker).
• Strong coding/scripting (Python, GO) and proficiency in IaC and GitOps.
• Deep knowledge of observability tools and defining reliability metrics.
• Experienced in incident handling (PagerDuty, Datadog) and post-incident evaluations.
• Demonstrated success in mentoring and developing junior/mid-level SRE talent, moving beyond delegation to hands-on technical coaching.
• Familiarity with regulatory or cybersecurity frameworks (FedRAMP, NIST, STIGs, RMF).
• Excellent cross-functional communication and stakeholder management.
• Preferred: certifications such as AWS, CKA, or cyber security credentials (e.g., OSCP).

Statutory Pay Disclosure:

ITAR Compliance

This position will have access to customer data and as such is subject to International Traffic in Arms Regulations (ITAR). Upon application, candidates will be asked to confirm that they are a U.S. Person as defined by the following:

• A citizen of the U.S.;
• A lawful permanent resident of the United States; 
• A person admitted to the United States as a refugee; or
• A person that has been granted asylum by the United States government.

The intent of this requirement is not to verify employment eligibility overall, but to ensure compliance with import/export regulations. If you do not meet these requirements, we encourage you to apply for other open roles at Deepwatch. This information will be verified upon offer of employment.

Who You Are

• • Have 10+ years of experience managing the full lifecycle of energy infrastructure projects—from proposal development and feasibility studies through permitting, construction support, and closeout.
  • Understand federal, state, and local regulatory frameworks (e.g., FERC, NEPA, Clean Water Act, state utility commissions, local land‑use processes).
  • Recognize how natural gas, transmission, and renewable resources work together to support grid reliability.
  • Excel at developing project strategies and contributing to ESA’s business development goals.
  • Are proficient with project management tools and can develop integrated, logic‑linked schedules across environmental, engineering, ROW, and construction workflows.
  • Anticipate challenges and develop creative solutions across environmental, regulatory, engineering, and stakeholder inputs.
  • Maintain long‑term, trusted relationships with clients, public agencies, utilities, pipeline operators, and renewable energy developers.
  • Communicate clearly and collaborate well with technical and non‑technical audiences.
  • Have a strong track record of proposal writing, winning work, and leveraging a professional network.
  • Are able to travel for field visits, client meetings, public engagement, and agency coordination.

  ---

  What You Will Do at ESA

  Business Development & Strategy

  • Lead or support proposal development, including scopes, schedules, budgets, and contract negotiations
  • Represent ESA at client meetings, industry events, and regional energy forums
  • Cultivate relationships with pipeline operators, utilities, renewable developers, engineering firms, and regulators
  • Identify and shape opportunities across natural gas, electric transmission, data center, and renewable energy markets
  • Provide insights into emerging policies, regulatory changes, and infrastructure investment trends

  Project Leadership & Execution

  • Manage the full lifecycle of multi‑sector energy infrastructure projects
  • Develop integrated schedules aligned with environmental studies, engineering, ROW, permitting, procurement, and construction
  • Identify critical‑path issues and implement mitigation strategies
  • Oversee high‑quality technical deliverables, including routing studies, environmental impact documentation, NEPA materials, permit applications, and mitigation plans
  • Foster a collaborative, solution‑oriented team environment

  Routing, Environmental Studies & Compliance

  • Lead siting and routing for pipelines, transmission lines, data center interconnections, and renewable facilities
  • Oversee biological, cultural, wetlands/waters, noise/visual, air/GHG, hazardous materials, and other environmental field studies
  • Translate study findings into defensible environmental analyses and practical mitigation strategies
  • Guide construction‑phase environmental compliance, including monitoring, training, reporting, and contractor coordination

  Permitting & Interagency Coordination

  • Develop comprehensive permitting roadmaps across federal, state, and local jurisdictions
  • Lead preparation and coordination of FERC Section 7(c) filings, NEPA reviews, Clean Water Act permitting, Endangered Species Act consultations, cultural resource coordination, and local land‑use approvals
  • Ensure clarity, defensibility, and accuracy across all regulatory filings and documentation

What’s Special About ESA

At ESA, we spend our days helping to keep the environment in balance, and we want to help keep your life in balance too—by providing benefits such as medical, dental, and vision insurance (paid at 70% for you AND your family), a 401(k) plan with company match, an employee stock ownership program, and paid vacation, sick leave, and holidays, to name a few.

No matter what stage you are at in your career, we provide opportunities for continued growth, development, and recognition. Whether you want to further your technical expertise, sharpen your business acumen, or help lead the next generation of employee-owners, we want to support you in reaching your career goals. We believe these efforts will not only benefit you, but will also benefit all ESA colleagues and clients. Specific programs we offer include tuition reimbursement, professional development bonuses, and attendance at conferences.

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. 

This is an onsite position.

Job Overview
As a Systems Administrator II on the Tampa Enterprise IT Support team, you will be responsible for managing and maintaining our organization's IT infrastructure to ensure the reliability, security, and performance of our systems and services. 

Essential Functions
•    The Systems Administrator II is responsible for supporting day-to-day IT operations within a dynamic aerospace manufacturing environment. This role focuses heavily on end-user support for engineers and 3D printing administrators, while also maintaining core infrastructure services across Windows and Linux systems.

•    Operating with a high degree of autonomy, this individual will serve as the primary on-site IT resource, ensuring reliable network connectivity, system performance, and responsive technical support in a production-focused environment.

Standard Essential Functions
Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies
•    Provide hands-on end-user support for engineering staff and 3D printing operations, including troubleshooting hardware, software, and connectivity       issues
•    Administer and support Windows and Linux endpoints in a mixed environment
•    Maintain and troubleshoot local network infrastructure, including switches, VLANs, and connectivity issues
•    Support Active Directory and Microsoft 365 (GCC High) user lifecycle tasks, including onboarding, offboarding, and access management
•    Diagnose and resolve issues related to printers, specialized manufacturing equipment, and engineering applications
•    Coordinate with centralized IT and cybersecurity teams to ensure compliance with company policies and CMMC requirements
•    Perform routine system maintenance, patching, and updates using enterprise tools
•    Document issues, changes, and resolutions in the ticketing system
•    Act as the on-site escalation point for complex technical issues requiring local intervention
•    Ensure uptime and operational continuity in a production environment with minimal infrastructure footprint

Education / Certifications

• A bachelor's degree in Information Technology, Computer Science, or a related field is preferred
or equivalent experience.

Experience
•    At least 3 years of Tier 2+ Systems Administrator or Senior Level Experience
•    3-5+ years' experience working in a Level 1 or higher support role.
•    Experience supporting Windows environments (Windows 10/11, Server) and basic Linux administration
•    Hands-on experience with Active Directory and Microsoft 365 administration
•    Office 365 Support and Management
•    DoD or DIB contractor industry IT Support experience preferred but not required.
•    Experience with networking equipment (managed switches, basic firewall concepts)
•    Experience in a manufacturing, engineering, or lab environment is strongly preferred

Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

Constantly required to sit, and to reach to use computers and other office equipment
For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance
•    Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required. 

VSC Fire & Security in Tampa, Florida is seeking candidates for the position of Sprinkler Designer l.

 What we offer:

• Excellent pay $30.00 - $40.00 and up based on experience
• Overtime eligible
• Paid vacation and company holidays
• Medical, dental and vision insurance options for you and your family
• Health Savings Account (HSA) or Flexible Spending Account (FSA)
• Company paid life insurance for full time employees
• Employee apparel program
• Company paid long term disability insurance
• Bonus for referring new employees
• Parental leave for full-time employees
• Employee Assistance Program (EAP)
• Boot Allowance
• NICET certification test reimbursement
• Opportunities for training and advancement
• All needed Personal Protective Equipment (PPE) provided

What you need:

• One to three years of experience with AutoCAD or SprinkCAD or background in mathematics.
• NICET Level I or II.
• Ability to review architectural drawings, mechanical, site, structural and completes site surveys, and research essential information as required for structural and mechanical elements.
• Monitor and enforce safety policies and procedures.
• Exceptional attention to detail and communication skills.
• Ability to pass various background checks.
• Reliable transportation, valid State Driver's License with acceptable driving record for use of company vehicle.
• Desirable (but not required):
• NICET I or II, or equivalent experience.
• Associate or bachelor’s degree in drafting (AutoCAD).

 What you will do:

• Design, coordinate, and submit Fire Protection drawings, hydraulic calculations, seismic brace calculations, and material/equipment schedules. Stock list projects for fabrication and approve fabrication quotes.
• Ensure compliance with NFPA standards and insurance requirements as well as all fire and building code requirements.
• Provide updates to purchasing as installation schedule or change orders require modifications to meet installation schedule and deadlines and other requirements such the Buy American Act.
• Produce shop list utilizing computer software for fabrication of system piping.
• Integrate other mechanical systems to ensure successful coordination with the fire suppression system and must be able to recognize potential conflicts with other trades.
• Maintain proper Risk Management and Safety procedures on all job sites per VSC policies.

Compensation: $170,000 - $200,000 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.

Work Arrangement
This is an on-site position.

Job Overview
We are seeking a highly skilled and motivated Senior Structural Engineer specializing in aircraft structures to join our team. As a Structural Engineer, you will play a key role in the design, analysis, and optimization of structural components for our unmanned aerial systems (UAS) and unmanned surface vehicles (USV). You will work closely with our engineering team to develop innovative solutions and enhance the performance and reliability of our products. 

Essential Functions
•    Collaborate with cross-functional teams to lead the structural layout, structural sizing into conceptual design and through detail design.
•    Partner with manufacturing team to generate fabrication and assembly work instructions.
•    Analyzing structural loads on both composite laminates, metallic structures, and plastic components using empirical methods, hand calculations,             finite element analysis (FEA).
•    Conduct static and dynamic structural analyses using finite element analysis (FEA) tools.
•    Prepare detailed technical reports, documentation, and presentations for internal and external stakeholders.
•    Supporting flight test planning, test execution, and aircraft modifications
•    Identify and implement innovative solutions to complex structural engineering challenges.
•    Develop, review, and approve structural designs, ensuring compliance with industry standards and regulatory requirements.
•    Develop structural design guides and toolsets that can be used by other engineers.
•    Perform other duties as assigned.

Standard Essential Functions
Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies
•    Foundational knowledge of aircraft load paths and structural sizing
•    Expert understanding of the theory and practical application of composite structures and their application to aircraft
•    Proficiency in finite element analysis (FEA) toolsets such as FEMAP or NASTRAN.
•    Proficiency with CAD software (e.g., Solidworks, NX, or CATIA).
•    Strong analytical and problem-solving skills.
•    Excellent communication and teamwork abilities.
•    Excellent analytical and problem-solving skills
•    Ability to work with multiple engineering disciplines on an aggressive schedule.
•    Ability to be flexible in various work scenarios to adjust priorities needed to meet evolving requirements and challenges.
•    Demonstrative ability to be proactive and take initiate during day-to-day tasks
•    Ability work independently, confidently making decisions to guide other towards project goals

Education/Certifications
•    Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Civil Engineering or related field.
•    Master's Degree us a plus.

Experience
•    8+ years of structural engineering experience
•    Proven experience in structural analysis and design, preferably in aerospace industry.
•    Hands-on design and build experience.
•    Rapid prototyping experience.
•    Defense industry experience is a plus

Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

Frequently required to sit, and to reach to use computers and other office equipment
Occasionally required to stand for extended periods of time
Occasionally required repetitive movements of wrists, hands, and/or fingers
For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the workday, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance
•    Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required.

Your Role as a Senior Site Reliability Engineer: 

Our Cloud Operations team seeks a Senior Site Reliability Engineer who will play a critical role in ensuring the reliability, performance, and scalability of our SaaS applications.  The ideal candidate is a problem-solver and an automater.  In this Senior SRE role, you will be responsible for designing, implementing, and maintaining robust systems and processes to prevent outages, minimize downtime, optimize our infrastructure, and build scalable automation that allows us to be more efficient as the business grows.  You will work closely with our development, quality assurance, product, and IT teams to meet the goals of this role.  On-Call coverage will be required weekly.   

A Day in the Life of a Senior Site Reliability Engineer: 

For this role, you will play a key role in maintaining our cloud platform, which includes an assortment of Kubernetes, Microservices, MongoDB, RabbitMQ, MySQL, Windows Server VM Infrastructure, Orchestration Engines, CI/CD and Monitoring platforms.

• Executing projects that rollout new platform maintenance features, automate tasks, or other big picture changes to improve our customers’ experience on our Cloud Platform. 
• Deploying new features and releases of our software into Kubernetes via Helm, so strong experience in Kubernetes and Helm is a must. 
• Troubleshooting performance issues or errors thrown by the cloud platform or application, and either resolving the underlying cause, or forwarding your research to Engineering to address in the product.
• Mentoring others towards technical and procedural success and providing daily operational support to our DevOps team members
• Actioning Request Tickets from other teams in support of their needs to enable and prepare for upcoming releases. 
• Monitoring and maintaining our Platform’s, uptime, resiliency and performance, looking for improvement opportunities, and proactively taking action to solve any negative trends before they become issues. 
• Lead, Participate, or Execute within the incident management process when alerts fire, and quickly ascertain root cause, resolve the issue, and find new and creative solutions to prevent recurrence.
• Configure, Monitor, Research, and Evaluate workload performances both on Google Cloud Platform and Microsoft Azure Clouds. 
• Security and Compliance: Work closely with security teams to ensure adherence to security best practices and compliance standards.
• Collaborating with our Development and Quality Assurance teams to address issues in the product and platform, particularly around recurring problems.
• Documenting new or updating existing processes and procedures to share knowledge and improve on standardized approaches to solution. 

What You’ll Need: 

• Must have a passion for life-long learning.
• Must communicate well and adapt to working well with others across different countries and cultures. 
• Strong background in Containers, Kubernetes, Helm, Linux, Python coding, and some experience with Windows Server OS and MacOS are a must.
• Experience with Google Cloud Platform and Microsoft Azure required. 
• Expert-level troubleshooting experience and the ability to reason through a process workflow to identify a fault or odd behavior (i.e., spending time following log trails).
• Experience with administering MySQL & MongoDB preferred. 
• Experience with administering message brokering systems like RabbitMQ preferred. 
• Must be flexible on occasionally attending “off-hour” meetings (we’re a global team supporting a global customer base!).
• No travel required for this role.  

Nice to Haves: 

• Experience with Build pipeline tools and the Atlassian suite (JIRA, Confluence, Bitbucket/Git, Azure DevOps, Bamboo, Octopus). 
• Experience with monitoring and alerting platforms, especially StackDriver. 
• Experience with HashiCorp Terraform. 
• Experience with IIS

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment