About the Role: 
AFS is seeking an AWS Engineer to lead the design, build, and automation of our cutting-edge cloud infrastructure in a DevSecOps environment. The ideal candidate is passionate about building secure, scalable, and highly available platforms on AWS. Your expertise in Infrastructure as Code (IaC), container orchestration with EKS, and CI/CD pipelines will be critical to empowering our development teams with a robust, self-service platform. While our primary focus is AWS, experience in a hybrid environment and private cloud platforms such as VMware or Openshift will make you stand out. 

Key Responsibilities: 

• AWS Infrastructure & Architecture: 

• • Design, build, and maintain scalable, resilient, and secure environments primarily within AWS. 
  • Implement and manage core AWS services, including networking (VPC, Transit Gateway), Kubernetes (EKS), compute (EC2, Lambda), storage (S3, EBS), and databases (RDS). 
  • Architect and operate containerized workloads using Amazon EKS, including cluster management, scaling, and security. 

• Security & Compliance: 

• • Implement and enforce security controls, encryption, and access management to meet compliance standards such as DISA STIGs directly into IaC modules and other code. 

• Team Enablement & Collaboration: 

• • Act as a cloud subject matter expert, providing guidance and support to development teams to optimize their use of the platform. 
  • Collaborate with stakeholders to evaluate new cloud-native technologies and recommend solutions that enhance efficiency and capability. 
  • Champion foundational best practices, including Git workflows and the proficient use of AI tools to accelerate development and problem-solving. 

Required Skills & Experience: 

• Bachelor’s degree in a relevant field or equivalent professional experience (approx. 8+ years in cloud/software engineering). 
• Must possess and maintain required DoD 8140 certifications. 
• Expert-level proficiency with Infrastructure as Code (IaC), with strong hands-on experience in Terraform or other languages, to include advanced usage such as targeted applies, imports and more. 
• Deep experience with container orchestration, specifically designing and managing Amazon EKS clusters. 
• Strong command of AWS IAM roles, policies, and security best practices. 
• Solid understanding of cloud networking, Linux/Unix administration, and security principles. 
• Proficiency with Git and modern GitOps workflows. 

Preferred Qualifications: 

• Experience with VMware vSphere in a hybrid cloud context. 
• Experience with configuration management tools like Ansible. 
• Familiarity with other public clouds (Azure, GCP). 
• Proficiency in one or more programming languages (Python, Go, JavaScript/TypeScript). 
• Understanding of common authentication mechanisms, OIDC, OAuth2, LDAP, SAML. 
• Experience contributing to open-source projects. 
• One or more of the following certifications: 
• AWS Certified DevOps Engineer - Professional 
• Certified Kubernetes Administrator (CKA) 
• HashiCorp Certified: Terraform Associate/Professional 

Clearance:

• An Active TS/SCI is required

#LI-Defense 

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

You will:

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

Ideally you have:

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

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

About the Role: 

AFS is seeking a highly skilled and experienced Cloud Platform Engineer to join our team. The ideal candidate will have a deep understanding of Cloud Native Applications & DevSecOps (DSOP), including automation, cloud services, container orchestration & software development. This role requires a strong foundation in Linux engineering with skills in containerization technologies, CICD, and experience working in public and private clouds. The candidate will have a proven track record in automating software deployments and implementing solutions to accelerate release cycles. This role’s core responsibility revolves around empowering development teams with a robust platform that streamlines processes and enhances collaboration. 

Core Responsibilities: 

• Implement, maintain, and support build, integration & test, and deployment pipelines, utilizing tools such as Kubernetes, Gitlab, ArgoCD, etc, across hybrid cloud computing environments. 

• Read and understand various application programming interfaces (APIs) and implement automation as required. 

• Develop & Improve automation for efficient deployment and management of cloud resources using tools such as Terraform, Ansible. 

• Integrate security and compliance into the platform by implementing services such as encryption and access management to meet DISA STIGs compliance with security standards and policies across hybrid containerized environments. 

• Collaborate with development teams to integrate DevOps practices into the software development lifecycle, including continuous integration and continuous deployment (CI/CD) pipelines. 

• Assist development teams with implementing containerized deployments utilizing tools such as Kustomize, Helm and Docker/Podman. 

• Account for disaster recovery scenarios, implement & test backup and recovery procedures. 

• Monitor the environment for performance metrics and alerts, identify bottlenecks and implement effective solutions. 

• Stay abreast of latest DevSecOps and Cloud Native technologies and work with stakeholders to recommend more efficient solutions. 

Required Skills & Experience: 

• Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience with a minimum of 3 years' direct experience in a DevSecOps role or related experience. 

• Solid understanding of Linux/Unix Administration. 

• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes. 

• Proficient in one or more computer programming languages commonly used in scripting & automation. Such as, but not limited to Bash, Python, Go, Rust 

• Demonstrated experience in automating cloud deployments and developing infrastructure as code (IaC). 

• Possess and maintain relevant DoD 8570/8140 IAT level II Certification. 

Amazing to Have: 

• Familiarity with open-source tooling, contributing to open-source tools, ability to find root cause and open useful issues. 

• Prior experience with service mesh technologies (Istio, Consul, Linkerd) 

• Background in VMWARE vSphere and Amazon Web Services (AWS) 

• Proficient in applying DISA STIGs within cloud and containerized environments. 

• Possess one or more of the following certifications:

• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• AWS DevOps Professional
• GIAC Cloud Security Automation
• HashiCorp Certified Terraform Associate or equivalent experience 

Clearance:

• An Active TS/SCI is required

#LI-Defense 

About the Role: 
AFS is seeking a highly skilled and experienced Senior DevSecOps Engineer (CICD) to join our team. The ideal candidate will have a deep understanding of creating, maintaining, and optimizing GitLab, and other pipelines. This role requires expertise in making pipelines scalable and reusable, building processes for various programming languages, and integrating security and compliance automation into the pipelines and a strong foundation in Linux engineering with advanced skills in containerization technologies. The candidate will have a proven track record in enhancing CI/CD processes and ensuring robust and secure software delivery. 

Core Responsibilities: 

• Design, create, maintain, and optimize GitLab pipelines to ensure efficient and reliable CI/CD processes. 

• Develop scalable and reusable pipeline components to standardize and streamline the software development lifecycle. 

• Implement and manage build processes for various programming languages, ensuring consistency and efficiency across different projects. 

• Automate security and compliance checks within the CI/CD pipelines to ensure adherence to industry standards and regulations. 

• Collaborate with development, operations, and security teams to integrate DevSecOps practices into the software development lifecycle, especially as it pertains to creating, maintaining and optimizing pipelines. 

• Monitor pipeline performance, identify bottlenecks, and implement improvements to enhance speed and reliability. 

• Ensure pipelines are designed to support continuous integration and continuous delivery (CI/CD) best practices. 

• Stay abreast of the latest CI/CD and DevSecOps technologies and recommend more efficient and secure solutions. 

• Working with tools like kustomize, helm, bash, etc. and manipulate data structures such as JSON, YAML, XML. 

•  Building and optimizing container images and the automation of these builds. 

Qualifications: 

• Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent experience, with a minimum of 3 years' of direct experience in CI/CD or DevSecOps related fields. 

• Extensive experience with GitLab CI/CD pipelines, including creating, maintaining, and optimizing them. 

• Proficient in scripting and automation using languages such as Bash, Python, Go, or similar. 

• Knowledge of networking concepts and protocols such as, but not limited to: TCP/IP, DNS, HTTP, etc. 

 Nice to have:

• Possess and maintain relevant industry certifications related to CI/CD, DevOps, or security. 

• Familiarity with open-source tooling, contributing to open-source tools, ability to diagnose issues and create valuable bug reports. 

• Solid understanding of agile, kanban, and general DevSecOps principles. 

• Prior experience with containerization and orchestration technologies (Docker, Kubernetes). 

• Strong background in cloud platforms (AWS, Azure, GCP, vSphere). 

• Proficient in applying security and compliance standards within CI/CD pipelines. 

• Ability to program in multiple languages. 

Clearance:

• An active TS/SCI is required

#LI-Defense 

Summary: Seeking an experienced contractor with extensive expertise in scripting, server configuration, and infrastructure management to support and optimize the Department WIC data system and associated applications. This role involves daily technical support, troubleshooting, and enhancing system performance through strategic recommendations.

Responsibilities:

• Conduct daily development and technical support for the Department WIC data system and interfaces, including EBT system and other applications.
• Troubleshoot and provide solutions for daily processing and development issues.
• Maintain and submit documentation on system performance, including maintenance and process corrections.
• Identify and recommend operational efficiencies to enhance system performance.
• Conduct evaluations of new software or hardware and recommend technologies to support business processes.
• Analyze and document technical requirements for system fixes, modifications, and enhancements.
• Produce work plans for implementing infrastructure requirements for system platform improvements.
• Create scripts for system fixes, modifications, enhancements, interfaces, and integration processes.
• Conduct and document testing results for system modifications and enhancements.
• Produce documentation for system modifications and enhancements as required.

Qualifications:

• Minimum of ten years in scripting and infrastructure management using PowerShell, SQL, Python, and MS batch scripts.
• Ten years of experience in configuring Windows server installations and applying security best practices.
• Five years of experience with Infrastructure-as-Code (IAC) using platforms such as Kubernetes, Helm, and Ansible.
• Five years with Microsoft SCCM or Intune and management of end-user workstations.
• Five years supporting Linux/BSD server installations.
• Five years of experience with Active Directory and group policies.
• Five years of experience supporting business applications in cloud-native architectures.
• Understanding of network protocols, topologies, VLANs, subnets, and route tables.
• Exceptional logical troubleshooting skills and self-motivation, evidenced by career achievements or advancements.

Ll:#Onsite 

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

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.

About You

• You want to make tomorrow better than today 
• You have a passion for high-speed security and you care about risk management over compliance
• You believe the biggest vulnerability in any system is time. You live to securely reduce cycle time
• You enjoy daily decision making and real product delivery
• You help ensure project success and client satisfaction
• You enjoy collaborative teams, pairing with team members, and inviting your clients to participate 
• You like to work alongside, and learn from, lean and agile leaders
• You are a creative problem solver who is comfortable with uncertainty
• You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge
• You see AI as a force multiplier, not a shortcut — and you're already weaving it into how you think, build, and ship

As a Senior Software Engineer (TAK / ATAK) , you will: 

• Build and maintain software for the Tactical Assault Kit (TAK) ecosystem — including ATAK (Android), WinTAK (Windows), TAKX (Cross-platform) and/or WebTAK OASIS 
• Design, implement, and test TAK plugins, tools, and features that deliver real-time situational awareness to military and first responder users
• Work with TAK protocols like Cursor on Target (CoT) and geospatial formats like GeoPackage
• Pair directly with military personnel, product owners, and engineers to understand operational needs and deliver mission-critical capabilities
• Deliver functionality iteratively and validate with real-world users in real-time or training environments
• Collaborate with TAK community stakeholders and government customers to ensure plugin and server compatibility 
• Contribute to secure, hardened, and field-ready software that performs in disconnected, intermittent, and low-bandwidth (DIL) environments
• Operate with an agile mindset: frequent releases, test-driven development (TDD), CI/CD, and continuous feedback
• Work with a balanced team of designers, product managers, and engineers to ensure your solutions meet mission objectives and end-user needs
• Champion AI-augmented ways of working across your engagement(s), leveraging AI tooling to accelerate delivery, reduce cycle time, and drive better outcomes at scale

Qualifications 

• 3–6 years of professional software engineering experience
• Experience with the TAK ecosystem (ATAK/WinTAK/CIVTAK/TAK Server), especially developing TAK plugins or extensions
• Proficient in Java, Kotlin, or C++, especially in the context of Android or Windows development
• Strong understanding of geospatial concepts, data formats (CoT, GeoPackage), and GIS toolkits
• Experience with Test Driven Development (TDD) and agile methodologies
• Strong communication skills and comfort in a pair-programming environment
• Comfortable in Linux environments and with container tools like Docker or Kubernetes
• Familiar with DevSecOps practices and tools such as Git, GitLab CI, SonarQube, Fortify, etc
• Strong understanding of algorithms, design patterns, APIs, and software architecture
• BA/BS in Computer Science or related field, or equivalent experience
• Ability to obtain a security clearance for US Government work

Preferred Qualifications: 

• Previous experience building tools for or with the Department of Defense (DoD)
• Experience working with or inside a DoD Software Factory or on fielded tactical systems
• Familiarity with mesh networking, radio integration, or disconnected ops environments
• Experience developing cloud-native or edge-native applications
• Background in cybersecurity, secure coding, or cross-domain solutions (CDS)
• Familiarity with operational workflows of military, law enforcement, or emergency response teams

Travel

Position may require up to 25% travel in support of contract performance, customer site visits, and program activities

Salary 

The annual salary range for this role as it is posted is $119,853 to $149,817 regardless of final candidate location within the United States. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), and calibrated against relevant market data and internal team equity. 

Benefits 

• Flexible schedule in a 100% distributed workforce 
• Premium Insurance: We cover up to 100% of the employee premium and up to 80% of the combined dependent premium on our base health plan depending on pay band. We also cover 100% of the premium for employee and dependent Dental and Vision as well as employee premiums for Life and Disability coverage.
• Retirement: 401k match at 10% gross pay.
• Paid time off (PTO): 4 weeks combined accrued vacation and sick leave, 11 Federal holidays, your birthday, jury duty, and bereavement.
• Education & Training: Accrued budget of up to $4,000 per year for classes, travel, events, and materials.
• Wellness Budget: To encourage and support a well-rounded healthy lifestyle, we cover 50% reimbursement on a variety of wellness activities and products, up to $500 per calendar year.
• Equipment: We offer a MacBook Pro and multi-port adapter.

About You

• You want to make tomorrow better than today 
• You have a passion for high-speed security and you care about risk management over compliance
• You believe the biggest vulnerability in any system is time. You live to securely reduce cycle time
• You enjoy daily decision making and real product delivery
• You help ensure project success and client satisfaction
• You enjoy collaborative teams, pairing with team members, and inviting your clients to participate 
• You like to work alongside, and learn from, lean and agile leaders
• You are a creative problem solver who is comfortable with uncertainty
• You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge
• You see AI as a force multiplier, not a shortcut — and you're already weaving it into how you think, build, and ship

As a Senior Software Engineer (TAK / ATAK) , you will: 

• Build and maintain software for the Tactical Assault Kit (TAK) ecosystem — including ATAK (Android), WinTAK (Windows), TAKX (Cross-platform) and/or WebTAK OASIS 
• Design, implement, and test TAK plugins, tools, and features that deliver real-time situational awareness to military and first responder users
• Work with TAK protocols like Cursor on Target (CoT) and geospatial formats like GeoPackage
• Pair directly with military personnel, product owners, and engineers to understand operational needs and deliver mission-critical capabilities
• Deliver functionality iteratively and validate with real-world users in real-time or training environments
• Collaborate with TAK community stakeholders and government customers to ensure plugin and server compatibility 
• Contribute to secure, hardened, and field-ready software that performs in disconnected, intermittent, and low-bandwidth (DIL) environments
• Operate with an agile mindset: frequent releases, test-driven development (TDD), CI/CD, and continuous feedback
• Work with a balanced team of designers, product managers, and engineers to ensure your solutions meet mission objectives and end-user needs
• Champion AI-augmented ways of working across your engagement(s), leveraging AI tooling to accelerate delivery, reduce cycle time, and drive better outcomes at scale

Qualifications 

• 6–10 years of professional software engineering experience
• Experience with the TAK ecosystem (ATAK/WinTAK/CIVTAK/TAK Server), especially developing TAK plugins or extensions
• Proficient in Java, Kotlin, or C++, especially in the context of Android or Windows development
• Strong understanding of geospatial concepts, data formats (CoT, GeoPackage), and GIS toolkits
• Experience with Test Driven Development (TDD) and agile methodologies
• Strong communication skills and comfort in a pair-programming environment
• Comfortable in Linux environments and with container tools like Docker or Kubernetes
• Familiar with DevSecOps practices and tools such as Git, GitLab CI, SonarQube, Fortify, etc
• Strong understanding of algorithms, design patterns, APIs, and software architecture
• BA/BS in Computer Science or related field, or equivalent experience
• Ability to obtain a security clearance for US Government work

Preferred Qualifications: 

• Previous experience building tools for or with the Department of Defense (DoD)
• Experience working with or inside a DoD Software Factory or on fielded tactical systems
• Familiarity with mesh networking, radio integration, or disconnected ops environments
• Experience developing cloud-native or edge-native applications
• Background in cybersecurity, secure coding, or cross-domain solutions (CDS)
• Familiarity with operational workflows of military, law enforcement, or emergency response teams

Travel

Position may require up to 25% travel in support of contract performance, customer site visits, and program activities.

Salary 

The annual salary range for this role as it is posted is $143,824 to $179,780 regardless of final candidate location within the United States. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), and calibrated against relevant market data and internal team equity. 

Benefits 

• Flexible schedule in a 100% distributed workforce 
• Premium Insurance: We cover up to 100% of the employee premium and up to 80% of the combined dependent premium on our base health plan depending on pay band. We also cover 100% of the premium for employee and dependent Dental and Vision as well as employee premiums for Life and Disability coverage.
• Retirement: 401k match at 10% gross pay.
• Paid time off (PTO): 4 weeks combined accrued vacation and sick leave, 11 Federal holidays, your birthday, jury duty, and bereavement.
• Education & Training: Accrued budget of up to $4,000 per year for classes, travel, events, and materials.
• Wellness Budget: To encourage and support a well-rounded healthy lifestyle, we cover 50% reimbursement on a variety of wellness activities and products, up to $500 per calendar year.
• Equipment: We offer a MacBook Pro and multi-port adapter.

AFS is currently seeking a highly skilled and experienced Security Transformation Practitioner. The ideal candidate will have a deep understanding of implementing various security measures to protect an organization's computer systems and networks. This role requires a strong foundation in security pipeline automation and containerization technologies, as well as proficiency in applying DISA Security Technical Implementation Guides (STIGs) and operating within applications and data. The successful candidate will have a proven track record of successfully designing and implementing security solutions in both on-premises and cloud environments and will be able to work collaboratively with other IT professionals to ensure the security of the organization's systems and data.

Responsibilities:

• Design, deploy, and manage security solutions (Scanning, IDS/IPS, NIDS/NIPS, SIEM) in a hybrid environment.
• Empower developers and data scientists’ customers to move fast while championing security at the start, understand friction points and implement solutions.
• Make sure appropriate measures are implemented for secure application development and supply chain protection.
• Research and recommend technical solutions to various controls by understanding NIST 800-53 Risk Management Framework (RMF) and CNSSI 1253 & assist in developing policies, procedures and guidelines.
• Lead the effort in closing out Plan of Action & Milestones (POA&M) items that are associated with technology-related control items and findings.
• Responsible for implementing security solutions within container orchestration technologies such as Docker and Kubernetes.
• Conducting risk assessments and vulnerability assessments via implementing CI jobs to scan for various security defects such as SAST, DAST & container scanning.
• Apply DISA STIGs to ensure compliance with security standards and policies.
• Collaborating with other IT professionals to ensure that security is integrated into all aspects of the organization's IT infrastructure.
• Stay abreast of latest security threats, tools and techniques and recommend defense in depth strategies to mitigate risk to the organization.
• Provide mentorship and guidance to the team on cybersecurity best practices and basic cyber hygiene.

Qualifications

• Bachelor’s degree or equivalent experience and minimum 8 years prior relevant experience, or Master’s degree in a related field and minimum 5 years of experience.
• Preferred candidate has a background in incident response and/or DevSecOps.
• Solid understanding of Linux/Unix Administration.
• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
• Proficient in one or more computer programming languages commonly used in scripting & automation. IE: Bash, Python, Go, Rust
• Proficient in applying DISA STIGs within cloud and containerized environments.
• Demonstrated experience in automating deployments and developing infrastructure as code (IaC).
• Strong background in DevOps practices and tools, including Jenkins, Git, Ansible, and Terraform.
• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Effective communication skills, both written and verbal, with the ability to present technical information to a non-technical audience.
• Possess and maintain relevant DoD 8570/8140 IAT level II Certification.
• Possess one or more of the following certifications:
  • AWS DevOps Professional
  • Certified Kubernetes Security Specialist
  • GIAC Cloud Security Automation (GCSA)
  • Certified DevSecOps Professional (CDP)

Nice to have

• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Effective communication skills, both written and verbal, with the ability to present technical information to a non-technical audience.

Clearance

• An active TS/SCI is required

AFS is currently seeking a highly skilled and experienced Senior Security DevOps Engineer. The ideal candidate will have a deep understanding of implementing various security measures to protect an organization's computer systems and networks. This role requires a strong foundation in security pipeline automation and containerization technologies, as well as proficiency in applying DISA Security Technical Implementation Guides (STIGs) and operating within applications and data. The successful candidate will have a proven track record of successfully designing and implementing security solutions in both on-premises and cloud environments and will be able to work collaboratively with other IT professionals to ensure the security of the organization's systems and data.

Responsibilities:

• Design, deploy, and manage security solutions (Scanning, IDS/IPS, NIDS/NIPS, SIEM) in cloud environments as well as cloud air-gapped environments.
• Empower developers and data scientists’ customers to move fast while championing security at the start, understand friction points and implement solutions.
• Make sure appropriate measures are implemented for secure application development and supply chain protection.
• Research and recommend technical solutions to various controls by understanding NIST 800-53 Risk Management Framework (RMF) and CNSSI 1253 & assist in developing policies, procedures and guidelines.
• Lead the effort in closing out Plan of Action & Milestones (POA&M) items that are associated with technology-related control items and findings.
• Responsible for implementing security solutions within container orchestration technologies such as Docker and Kubernetes.
• Conducting risk assessments and vulnerability assessments via implementing CI jobs to scan for various security defects such as SAST, DAST & container scanning.
• Apply DISA STIGs to ensure compliance with security standards and policies.
• Collaborating with other IT professionals to ensure that security is integrated into all aspects of the organization's IT infrastructure.
• Stay abreast of latest security threats, tools and techniques and recommend defense in depth strategies to mitigate risk to the organization.
• Provide mentorship and guidance to the team on cybersecurity best practices and basic cyber hygiene.

Amazing to Have:

• Direct experience with Elasticsearch, Kibana (ELK) Stack deployment and maintenance to include fleet and agent setup.
• AWS Elastic Kubernetes Service (EKS) experience.
• Gitlab CI/CD pipeline engineering experience.
• Familiarity with one or more of Java/Kotlin/NPM programming languages.

Qualifications:

• Bachelor’s Degree or equivalent experience and minimum 8 years prior relevant experience, or Masters Degree in a related field and minimum 5 years of experience.
• Preferred candidate has a background in incident response and/or DevSecOps.
• Solid understanding of Linux/Unix Administration.
• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
• Proficient in one or more computer programming languages commonly used in scripting & automation. IE: Bash, Python, Go, or Rust
• Proficient in applying DISA STIGs within cloud and containerized environments.
• Demonstrated experience in automating deployments and developing infrastructure as code (IaC).
• Strong background in DevOps practices and tools, including Jenkins, Git, Ansible, and Terraform.
• Possess and maintain relevant DoD 8570/8140 IAT level II

Nice to have

• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Effective communication skills, both written and verbal, with the ability to present technical information to a non-technical audience.

Clearance

• An active TS/SCI is required

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. 

AFS is seeking a Senior AWS DevSecOps Engineer to lead the design, build, and automation of our cutting-edge hybrid cloud infrastructure. The ideal candidate is passionate about building secure, scalable, and highly available platforms on AWS and other cloud platforms utilizing cloud-native technologies. Your expertise in Infrastructure as Code (IaC), container orchestration with EKS, and CI/CD pipelines will be critical to empowering our development & data science teams with a robust, self-service platform. While our primary focus is AWS, experience in a hybrid environment with VMware is a plus.

Responsibilities

• AWS Infrastructure & Architecture: Design, build, and maintain scalable, resilient, and secure environments primarily within AWS. Implement and manage core AWS services, including networking (VPC, Transit Gateway), Kubernetes (EKS), compute (EC2, Lambda), storage (S3, EBS), and databases (RDS). Architect and operate containerized workloads using Amazon EKS, including cluster management, scaling, and security.
• DevSecOps & Automation: Champion and implement Infrastructure as Code (IaC) using Terraform to automate all aspects of cloud resource provisioning and management. Develop, manage, and optimize robust CI/CD pipelines to enable rapid and reliable software delivery. Master AWS IAM, creating and managing roles, policies, and permissions based on the principle of least privilege. Develop custom automation scripts and tooling (e.g., using Python, Go, or Bash) to streamline operations and eliminate manual processes, heavily focusing on the usage of API’s.
• Security & Compliance: Integrate security best practices directly into the platform and pipelines (DevSecOps). Implement and enforce security controls, encryption, and access management to meet compliance standards such as DISA STIGs. Collaborate with security teams to implement robust monitoring solutions.
• Team Enablement & Collaboration: Act as a cloud subject matter expert, providing guidance and support to development teams to optimize their use of the platform. Collaborate with stakeholders to evaluate new cloud-native technologies and recommend solutions that enhance efficiency and capability. Champion foundational best practices, including Git workflows and the proficient use of AI tools to accelerate development and problem-solving.

Qualifications

• Bachelor’s degree in a relevant field or equivalent professional experience (approximately 10 years in cloud/software engineering).
• Must possess and maintain required DoD 8140 certifications.
• Expert-level proficiency with Infrastructure as Code (IaC)
• Experience with Terraform or other similar languages
• Deep experience with container orchestration, specifically designing and managing Amazon EKS 
• Strong command of AWS IAM roles, policies, and security best practices.
• Solid understanding of cloud networking, Linux/Unix administration, and security principles.
• Proficiency with Git and modern GitOps workflows.
• Deep understanding of advanced networking concepts, DNS, gateways in a hybrid/multi-cloud context.
• Extensive expertise in advanced networking, including DNS management and gateway configuration, to support robust connectivity and integration across hybrid and multi-cloud environments.

Preferred Qualifications

• Proven experience designing, building, and maintaining automated CI/CD pipelines (e.g., Jenkins, GitLab CI, AWS CodePipeline).
• Understanding of common authentication mechanisms, OIDC, OAuth2, LDAP, SAML.
• Excellent problem-solving skills and the ability to thrive in a fast-paced, evolving environment.
• Experience with VMware vSphere in a hybrid cloud context.
• Experience with configuration management tools like Ansible.
• Familiarity with other public clouds (Azure, GCP). Experience contributing to open-source projects.
• Any of the following certification(s): AWS Certified DevOps Engineer - Professional AWS Certified Solutions Architect - Professional AWS Certified Security - Specialty Certified Kubernetes Administrator (CKA) HashiCorp Certified: Terraform Associate/Professional GIAC Cloud Security Automation (GCSA)

Clearance

• An active TS/SCI is required

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.

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

Dark Wolf Solutions is seeking a Senior DevSecOps Engineer to support the developing and sustaining of a cloud-based platform that enables cyber operations across the Department of Defense (DoD). The successful candidates will coordinate and integrate work across legacy platforms. The team provides support to enhance and develop new applications, analytics, and services for the customer and to modernize capabilities through an agile, evolving requirement identification and prioritization process. This position will call for on site support a few days a week in Tampa, FL. 

Required Qualifications:

• Bachelor’s degree in IT Security, Information Systems, or equivalent
• 8 years demonstrated experience providing technical guidance to other engineers on automation/build tools with 3 years of experience supporting platform architecture directly
• Previous experience developing software in an Agile environment
• Extensive knowledge of DevOps practices to include microservices architecture, CI/CD pipelines, cloud architecture, Platform as a Service (Kubernetes or PCF), and infrastructure as code
• Strong hands-on experience with Kubernetes, with a primary focus on Amazon EKS in production, multi-cluster, and secure environments
• Expertise in GitLab CI/CD, including pipeline design, runners, secure builds, artifact management, and promotion workflows
• Deep experience with AWS Cloud services, specifically within AWS GovCloud environments, including IAM, VPC, EC2, EKS, S3, RDS, CloudWatch, KMS, and Security Hub
• Designing architectures that meet FedRAMP, NIST 800-53, and DoD IL2/IL4/IL5 requirements
• Strong GitOps experience using Argo (ArgoCD. / Argo Workflows) for: 
  • Declarative infrastructure and application deployment
  • Multi-environment promotion (dev → test → prod)
  • Automated rollback, drift detection, and auditability 
•  Advanced understanding of secure containerized workloads, including:
  • Image scanning, SBOMs, and vulnerability management
  • Kubernetes RBAC, network policies, and secrets management
•  Experience implementing DevSecOps pipelines, integrating:
  • Static and dynamic security scanning
  • Compliance gates and automated control enforcement
• Proficiency with Infrastructure-as-Code (e.g., Terraform/OpenTofu, Ansible, Helm, Kustomize, or similar) for repeatable and compliant deployments
• Working knowledge of collaboration and workflow tools, including:
  • Jira for agile planning and work tracking
  • Confluence for documentation and knowledge management
  • Mattermost (or similar secure chat platforms) for operational coordination
• Experience operating in regulated or high-security environments, including:
  • Government, defense, or other compliance-driven organizations
• Knowledge of ICD 503 and RMF with previous experience getting Authorization to Operate (ATO) for an application or system
• Understanding of ATO, continuous monitoring, and audit support
• Strong troubleshooting and operational skills across Kubernetes, CI/CD, and AWS cloud infrastructure
• Ability to collaborate with developers, security teams, and program leadership to drive secure, reliable delivery at scale
• Ability to convey complex ideas through conversation, briefings, and writing with clear, concise language
• IASAE Level II (CASP, CISSP, CSSLP) certifications 
• AFMAN 17-1303 certification (Sec+, etc) 
• US Citizenship and ability to be clearable up to the Top Secret clearance with SCI eligibility

Desired Qualifications:

• Experience with Cloud-Based systems and AI/ML Systems, including ALEX 
• Previous experience working in a DoD software factory such as Kessel Run, Platform One, Kobayashi Maru, etc.
• Willingness to submit for a government security clearance
• Certification in cloud architecture with AWS, GCP, or Azure

This position is located in Tampa, FL. The estimated compensation range for this role is $160,000.00 - $180,000.00 commensurate on experience and technical skill set. 

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
 
 In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Dark Wolf Solutions is seeking a Cloud Engineer with Networking and Help Desk experience to support out Operational IT team. Cloud Engineers are responsible for designing, implementing, and managing cloud solutions for our customers. The ideal candidate will have a deep understanding of cloud services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions. This job is located in Herndon, VA or Tampa, FL and requires on site support 4 days a week. 

Responsibilities:

• Design, implement, and manage Google Cloud Platform (GCP) and AWS solutions  
• Develop and maintain infrastructure as code (IaC) using tools such as Terraform
• Configure and manage GCP services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Dataflow, and Cloud SQL
• Implement security best practices for cloud solutions
• Engineer cloud networking platform infrastructure
• Maintain and optimize a production-level cloud deployed Gitlab ecosystem with hundreds of users
• Stay up-to-date on the latest GCP and AWS services and technologies
• Work collaboratively within a fast paced Agile team environment

Qualifications:

• Bachelor's degree in computer science or a related field or equivalent work experience
•    Experiencing managing a production Gitlab environment end-to-end
• 6+ years of professional experience
• 3+ years of experience with GCP and/or AWS
• Foundational development experience and understanding with tools and technologies such as Git, Linux command line, shell scripting, etc.
• Strong understanding of GCP and/or AWS services and technologies
• Experience designing and implementing scalable, reliable, and secure cloud solutions
• Experience with infrastructure automation using IaC tools such as Terraform
• Experience with DevOps practices
• Excellent communication and teamwork skills
• US Citizenship and security clearance eligibility

Preferred Qualifications:

• At least one Google or AWS Cloud Professional Certification
• Experience working within Agile teams
• Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads
• Experience working with AWS to include AWS GovCloud
• Experience with Palo Alto tools and technologies
• Experience with Elastic 
• Cloud networking experience and automation 
• Optimizing network traffic flows 
• Continuous zero trust optimization 
• Experience working with customers in the U.S. Public Sector
• U.S. Federal Government security clearance
• Experience with DoD/DISA cybersecurity policies

The salary range is estimated to be between $90,000.00 - $120,000.00, commensurate on experience and technical skillset. 

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
 
 In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

Dark Wolf is looking for summer interns to join us at our offices in Herndon, VA, Colorado Springs, CO, Omaha, NE or Tampa, FL. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.

Duration: June 2026 – August 2026

Type: Full-Time Internship (Paid)

Software Delivery and Cloud Internship: 

As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.

Key Responsibilities

• Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js

• Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.

• Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.

• AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.

• Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).

Required Skills & Qualifications

• Current Enrollment: Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida.

• Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).

• Problem Solving: Strong analytical skills and a "Go Gator" attitude toward tackling complex technical challenges.

• Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members.

Preferred Experience

• Familiarity with containerization tools like Docker or Kubernetes.

• Knowledge of SQL and NoSQL databases.

• Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain.

• Previous project work involving cloud-native architecture.

Cybersecurity Academy Internship: 

Are you ready to go beyond the textbook ?

The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast.

The DWCA Internship is designed to be cyber intensive where you won’t just talk about security—you’ll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path—and give you experience to back it up.

Professional Sprints:

• Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities.
• Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments.
• Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities.
• AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.

Why DWCA?

• Real-World Impact: Work on a simulation that mirrors industry challenges
• Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches
• Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market

Desired Majors

• Cybersecurity
• Information Security
• Computer Science
• Information Technology
• Information Systems

Desired Skillsets

• Willingness to learn and apply knowledge
• Comfortable communicating and collaborating with teammates and leadership
• Strong problem-solving and analytical skills with attention to detail
• Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)

Google Cloud Delivery Internship: 

Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO’d landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.

Skillsets: 

Computer Science, Computer Engineering Majors

• Application Development
• Cloud Infrastructure Engineering
• Developing Zero Trust Cloud Native Apps/Solutions on Google Cloud

Cybersecurity

• Cloud GRC
• Cloud Native Policy as Code
• SecOps

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

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