We are seeking a skilled Full-Stack Developer to join our team in San Antonio. The ideal candidate will have experience in both front-end and back-end development, capable of designing, developing, and maintaining robust applications. This role involves working on server-side logic, database management, integrating third-party services, and creating seamless and efficient user interfaces. 

What you’ll do:

• Design, develop, and maintain both front-end and back-end components of web applications
• Planning and implementing modifications to Graphic Use Interfaces (GUIs)
• Create technical design drawings, mockups, wireframes, and other associated documentation for PMO and stakeholder review
• Implement and manage server-side logic using programming languages such as Java, Python, Node.js, or Ruby
• Develop and maintain RESTful APIs and web services for seamless integration with front-end components
• Conduct code reviews and provide constructive feedback to team members
• Participate in the entire software development lifecycle, from requirement analysis to deployment and maintenance
• Monitor system performance and implement necessary improvements to ensure high availability and reliability
• Collaborate with DevOps teams to streamline CI/CD processes and automate deployment pipelines
• Develop and maintain and/or assist with technical documentation for systems and processes
• Stay updated with the latest trends and technologies in full-stack development and apply them to improve existing processes

What you’ll need:

• Experience in front-end frameworks such as: React, Angular, or Vue.js. 
• Experience in one or more server-side programming languages such as: Java, Python, Node.js. 
• Experience with one or more database management systems such as: PostgreSQL, MongoDB, Accumulo, or Hadoop
• Experience with containerization using Docker and management of Linux (RHEL) systems

Bonus Points if you have:

• Bachelor’s degree in a technical field
• Previous experience as a Full-Stack Developer or similar position
• Knowledge of RESTful API design and development 
• Experience with Elasticsearch for search functionalities 
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for full-stack development
• Familiarity with additional container orchestration technologies like Kubernetes
• Understanding of security best practices in web development
• Knowledge of DevOps practices and tools such as Gitlab, CI/CD pipelines, and Infrastructure as Code (IaC)
• Excellent problem-solving skills and attention to detail
•  Strong communication and collaboration skills

 Clearance: 

Must have an active Top Secret clearance

Work when you want – Earn what you need!

Delivering Legal Documents in your area with ABC Legal Services allows you to have a flexible schedule and take on as much or as little work as you want. We give you the training and tools you need, including an industry-leading mobile app that allows you to claim jobs, map your stops, and track your pay.

Who is ABC Legal?

We are a premier legal services company operating nation-wide. Our clients are banks and law firms, but we are governed by the courts and the rules of civil procedure. We value honesty and accuracy, and are looking for organized, independent, and personable people to deliver legal documents in all 50 states.

What’s the Key to Process Server Success?

• Be organized
• Plan your route
• Go when people are likely to be home
• Be pleasant and personable with the people you meet and to whom you deliver documents

Successful Process Servers work independently, have an entrepreneurial mindset, take pride in their work, and love to connect with people. Whether you’re looking for a full-time career or a part-time gig, serving legal documents with ABC offers the perfect opportunity for a flexible schedule outside of a traditional office setting.

What do you need to be a Process Server?

• Must have your own reliable transportation, valid driver’s license and insurance
• Tech savvy – iPhone/iPad or Android smart device and ability to work within a mobile app
• Ability to scan and print documents
• Ability to work variable hours -- Early mornings, evenings and weekends
• Experience in process serving or related work is helpful, but not required
• Some states require you to be a Registered Process Server 
• State laws vary, and some require you to meet a minimum age to serve
• Legally allowed to work in the United States, without work authorization

The Perks of Process Serving!

Process Servers benefit from many advantaged by contracting with ABC Legal Services, including:

• Flexible schedule – Choose your workload, with attempts required every 48 hours, varied times.
• Flexible service area – Set your own service areas and claim jobs right on our app
• Competitive wages – Earn fair wages for each job you attempt and resolve
• Mobile capability – Claim jobs, map out your stops and track your pay all through our app
• Support – Have all your questions answered by our knowledgeable support team

#INDP1

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Role Description: 

We are seeking an IT Engineer to join our team, based primarily out of our San Antonio, TX office. This role is first and foremost a hardware role, the primary owner of physical infrastructure at Defense Unicorns' San Antonio location, responsible for racking servers, configuring switching and network gear, and maintaining a growing lab environment that supports active defense programs. When not heads-down on hardware, this person is a contributor to day-to-day IT operations, handling helpdesk tickets, endpoint support, and IT projects alongside the broader IT OPS team. The ideal candidate thrives in a hands-on lab environment, has real experience standing up physical infrastructure, and can context-switch into IT OPS work without losing momentum. This is an onsite role; physical presence is the job.

Responsibilities: 

Hardware & Infrastructure (~70%)

• Install, configure, and maintain servers, rack-mount switches, and associated network infrastructure in the San Antonio office and lab environments
• Stand up and maintain virtualization environments on IT-owned bare-metal hardware
• Lead rack layout, cable management, patch panel termination, and physical infrastructure documentation
• Support UPS and PDU installation, configuration, and monitoring
• Configure and maintain network infrastructure including switches, access points, and security appliances
• Lead hardware procurement coordination, maintain physical and digital asset inventory, and support engineering and delivery teams with hardware staging needs
• Assist with edge and lab hardware as needed, including mini PCs, single-board computers, and portable networking gear
• Support physical security infrastructure as needed, including access control and related CMMC-adjacent hardware considerations

IT Operations (~30%)

• Provide Tier 1 and Tier 2 helpdesk support, triaging and resolving tickets or escalating as appropriate
• Administer MDM (Jamf) for device enrollment, policy enforcement, and compliance reporting
• Support endpoint hardware management (primarily macOS) alongside other IT team members, including imaging, configuration, deployment, and decommission
• Support user onboarding and offboarding workflows including access provisioning and equipment movement
• Manage access through Google Admin Console and related identity tools
• Collaborate with third-party vendors and internal stakeholders on SaaS tool rollouts, troubleshooting, and updates
• Contribute to IT projects, process improvements, and compliance initiatives aligned with NIST SP 800-171 and CMMC

Travel Expectations/Requirements: Primarily onsite in San Antonio; occasional travel to other Defense Unicorns locations (~20%)

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. 

Minimum Experience and Qualifications

• 3+ years in an IT operations, systems administration, or infrastructure role
• Hands-on experience racking and configuring servers and network switches in a lab or data center environment
• Experience with virtualization platforms on IT-managed infrastructure (Proxmox, ESXi, or similar)
• Demonstrated homelab or lab environment experience, comfortable standing up and troubleshooting infrastructure from scratch
• Familiarity with structured cabling, patch panel termination, and physical infrastructure documentation
• Experience with layer 2/3 networking concepts (VLANs, switching, routing)
• Experience with change management processes and IT documentation practices
• Experience with helpdesk or trouble ticketing systems
• Familiarity with macOS endpoint management and MDM solutions (Jamf preferred)
• Experience with Google Admin Console or similar directory/identity management tools
• US citizenship required; must be eligible for CUI access
• Ability to work independently in an onsite environment and manage competing priorities without close supervision

Preferred Experience and Qualifications:

• Experience with enterprise rack-mount server configuration and out-of-band management (e.g., iDRAC, iLO, IPMI)
• Experience with managed switching and prosumer/enterprise network stacks (e.g., UniFi, Cisco, Ubiquiti, or similar)
• Experience in a defense contractor, government, or classified lab environment
• Familiarity with NIST SP 800-171, CMMC 2.0, or similar compliance frameworks
• Exposure to edge compute platforms (single-board computers, mini PCs, GPU workstations)
• Experience contributing to endpoint hardware programs in a shared-ownership model

You are: 
A consummate organizer. You have a passion for acting as the go-to person for planning, organizing, and overseeing operations related to ongoing projects. You partner with others on the project team to ensure projects are running smoothly and on time. You are also extremely detail oriented. 
 
The work: 
You will support the service delivery or product team(s) in managing resources, projects, and budgets to meet the goals of the business and clients. When required, develop, and execute demand management processes, provide training and education on standard project management requirements and methods, facilitate project governance and reporting, and create models to improve business decisions. 

Here’s what you need: 

• 4 year degree OR no degree with four years of relevant work experience
• 2 years of experience working in project administration/support OR operations administration/support
• 2 years of experience with any/all of the following: resource tracking, status reporting, metrics reporting and analysis, time reporting, deliverable tracking, procurement, finance reporting, expense reporting, issue and risk tracking, change control management, accounts receivable/payable, and service management reporting
• 2 years of experience with Microsoft Excel or Advanced knowledge of the application

Bonus points if you have: 

• Experience with MS Project, MS Project Server/Project Web Access (PWA) or other Work Planning application
• Experience with JIRA or other Agile tools/reporting applications
• Experience with Power BI highly preferred Proficient to advanced knowledge of MS Office Suite – Excel, Outlook, SharePoint, Word, Power Point
• Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals and realize value
• Ability to contribute to the creation of an environment that facilitates high performance and motivates individuals to work collaboratively as a team
• Ability to work creatively and analytically in a problem-solving environment
• Ability to direct own work and that of others
• Leads/manages small to medium work effort and/or team
• Strong written and oral communication
• Strong problem-solving skills 

Eligibility: 

Must be U.S.citizen and able to obtain federal security clearance

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. 

Summary – Riboli Family Wines is looking for a customer focused and efficient Restaurant Expeditor to support at the San Antonio Winery. They are responsible for ensuring customers receive their food and beverages quickly and accurately. The ideal candidate has a customer first mentality, is always striving to create an exceptional dining experience and has experience working in a high-volume environment.

Essential Duties and Responsibilities - Current duties may be changed if the job requires and/or additional duties may be assigned if necessary.

• Provide excellent customer service to guests, checking in with them to ensure a satisfactory dining experience, and assisting with any customer requests.
• Greet and escort customers from the cashier to their table ensuring they have their initial part of their order (drinks, salads, bread, etc.).
• Ensure tables are set up throughout the day for customers including setting up linens as needed, placemats, silverware and glasses.
• Deliver ordered food and drinks to customer table when ready at the expediting station.
• Ensure all dishes and kitchenware are clean and presentable for customers and report any problems/quality issues to management.
• Remove dirty plates, glasses and silverware to kitchen for cleaning when needed.
• Understand the menu to be able to answer customer questions.
• Follow all relevant health department regulations.
• Stock inventory as needed and directed.

Qualifications-

• 2-3 years of experience working as a Food Expeditor, Runner, Server or Wait Staff.
• Attentiveness and patience for customers.
• Excellent plating for customer presentation skills.
• Strong organizational and multitasking skills, with the ability to perform well in a fast-paced environment.
• Active listening and effective communication skills.
• Team spirit.
• Follows and adheres to dress code throughout all seasons.
• Flexibility to work in shifts.
• This role requires availability Friday, Saturday, and Sunday.
• Bilingual a plus (Spanish/Italian)

#LI-ONSITE

We’re excited to announce the opening of our new San Simeon Tasting Room; an elevated winery destination built around a curated food-and-wine experience in the Willow Creek District of Paso Robles. We’re inviting enthusiastic, service-minded individuals to join our founding team as we debut this new luxury experience alongside our sister winery, Jada Vineyard & Winery.

Summary- The Server delivers the full culinary and pairing experience to guests, combining tableside service finesse with wine knowledge and pacing awareness. This position ensures that every dining or tasting service aligns with the estate’s premium brand standards.

Essential Duties and Responsibilities - Current duties may be changed if the job requires and/or additional duties may be assigned if necessary.

• Execute food and wine service with professionalism and accuracy.
• Collaborate closely with the Tasting Room team to coordinate pacing and pairings.
• Guide guests through menu offerings and make thoughtful recommendations.
• Uphold sanitation, presentation, and service timing standards.
• Support setup and breakdown of service areas and private events.
• Maintain familiarity with daily menus, ingredients, and chef pairings.

Requirements:

• Must be 21+
• Weekend and holiday availability required
• Detail-oriented with a passion for guest engagement.
• Knowledgeable about wine, food, and hospitality etiquette.
• Calm under pressure and consistent in multitasking environments.
• Professional appearance and demeanor
• Ability to stand for extended periods
• Must be able to lift up to 50 lbs. regularly

If you’re ready to help shape something special from the ground up and to share your ideas with a new luxury estate winery on the West Side of Paso Robles, we’d love to hear from you. Apply today and be part of creating unforgettable moments at our new San Simeon Tasting Room.

#LI-ONSITE