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

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 

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 organization-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 manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

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.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

#LI-Remote

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.

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become technically solid for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 3+ years of experience in cloud data engineering. 
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become a technical expert for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 5+ years of experience in cloud data engineering. 
• 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 2+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

#LI-BN1

Shift4 is expanding globally and we are seeking a Senior Technical Business Analyst with a Business Intelligence focus to join our Information Technology Group. In this role, you will gather and translate business requirements into actionable insights, ensuring the effective flow of information and data across the organization. You will collaborate with stakeholders to define, validate, and deliver business intelligence (BI) solutions, leveraging strong analytical skills, technical expertise, and communication abilities to support organizational goals. 

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

• Collaborate with stakeholders to understand and translate business needs into clearly defined, documented requirements for bugs, enhancements, and system developments.
• Create and maintain deliverables including vision/scope documents, requirements, mockups, designs, and flow diagrams.
• Manage stakeholder requests using established SDLC practices to maintain accountability and traceability.
• Conduct User Acceptance Testing (UAT) with stakeholders to validate that deliverables meet requirements and customer needs.
• Provide support in creating and tracking project deliverables and work items in the ticket tracking system.
• Contribute to and enforce the adoption of Business Intelligence solutions across teams.
• Support the development of key metrics and shared goals to measure success.
• Ensure BI governance, data accuracy, and effective communication of insights to cross-functional stakeholders.

Qualifications

• 5+ years of experience in business analysis of data movement and business intelligence reports.
• Advanced experience with requirements elicitation, stakeholder management, and solution documentation.
• Proficiency in BI tools such as Tableau and ETL tools.
• Experience with data sources including AWS Redshift, Postgres, SQL Server, Amazon Athena, Excel, and flat files.
• Strong SQL skills (T-SQL, MySQL, PostgreSQL).
• Experience working with large datasets, Enterprise Data Warehouses, and Dimensional Databases.
• Advanced understanding of SDLC processes and experience with Agile frameworks (KANBAN, Scrum).
• Familiarity with Jira and Confluence is a plus.
• Excellent organizational, communication skills (English) and problem-solving skills with the ability to prioritize multiple tasks and adapt to changing priorities.
• Bachelor’s degree in Computer Science, Information Systems, or related field Experience in lieu of a degree may be considered. 
• Certifications in Agile Scrum or PMP are a plus to have.

#LI-BN1

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.

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

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.

Overview:   The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position requires a deep understanding of computer architecture and other key areas, including software testing and scalability.

This role will contribute to a hospital system data platform that ingests and processes clinical data, including patient records, lab results, surgical data, and hospital system messages, and delivers customized alerting and reporting to clinical staff. The engineer will be expected to work with a high degree of independence once onboarded, and will have opportunities to mentor and coach junior members of the team.

Duties and Responsibilities:

• Work collaboratively to write high quality, testable code that meets the “Definition of Done” as it relates to team commitments;
• Utilize a “Test-First” approach to software development, where possible, in which the test is developed before the code;
• Participate in design and code reviews with other engineers;
• Create automated unit, system and acceptance tests and participate in test plan reviews;
• Actively support and contribute to end of iteration demos;
• Responsible for assigned integration, testing and deployment tasks;
• Work with product management to scope and estimate product enhancements;
• Design, implement, unit test software, and test software following defined processes;
• Fix software defects (internal or customer reported) following defined process;
• Actively foster continuous team improvement by being accountable for actions and continuously striving to become a better problem solver;
• Contribute to team retrospectives, helping to identify and resolve team impediments;
• Write and maintain documentation to describe program development, logic, coding, testing, changes, and corrections;
• Actively participate in the change management process as business and technical scope is adjusted;
• Develop and maintain integrations that process and filter inbound hospital system messages, including parsing, validating, and routing clinical data into the platform;
• Support cloud migration efforts, contributing to the transition of existing on-premise workloads toward AWS-based infrastructure;
• Mentor and coach junior engineers, providing guidance on code quality, architectural decisions, and engineering best practices;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 5 years of software development experience, with demonstrated proficiency in C# and MS SQL Server; strong foundation in data structures and algorithms required;
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture;
• Experience with Python or similar scripting languages is a plus;
• Experience with Lua, particularly for message intake, filtering, and processing, is a plus;
• Experience with or demonstrated interest in cloud platforms, particularly AWS, in support of ongoing migration efforts.
• Advanced design/debugging/coding skills;
• Builds secure applications and adheres to security standards;
• Demonstrated ability to work independently and take ownership of complex technical problems with minimal supervision;
• Strong team player with a collaborative approach to engineering, bringing energy and engagement to standups, retrospectives, and cross-functional work;
• Demonstrated high personal integrity and ability to earn trust from others;
• Exhibits a growth mindset, seeks feedback often and is effective in continuous personal and professional development;
• Continuously pursuing self-directed learning activities aimed at developing expertise within technical domain, including reading relevant publications, participating in domain forums or groups etc.;
• Ability to anticipate and look for creative ways to solve problems and apply best practices.
• Communication, organization, and teamwork skills.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology
• Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

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.

Data Scientist - MID

Location: Springfield, VA 

TS/SCI REQUIRED

Position Responsibilities:  

• Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
• Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
• Conduct extensive collections and analytic modeling, data processing,  

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.