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 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Manager, Site Reliability Engineering

Reports to: VP, Product Engineering 

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

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

What You’ll Do:

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

What You’ll Bring:

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

Statutory Pay Disclosure:

ITAR Compliance

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

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

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

About You

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

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

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

Qualifications 

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

Preferred Qualifications: 

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

Travel

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

Salary 

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

Benefits 

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

About You

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

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

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

Qualifications 

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

Preferred Qualifications: 

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

Travel

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

Salary 

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

Benefits 

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

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

Responsibilities:

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

Qualifications

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

Nice to have

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

Clearance

• An active TS/SCI is required

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

Responsibilities:

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

Amazing to Have:

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

Qualifications:

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

Nice to have

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

Clearance

• An active TS/SCI is required

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

• Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
• Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Build tools and automation to streamline data ingestion, transformation, and analysis.
• Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
• Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
• Design, develop, test, and document data science microservices and analytical applications
• Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
• Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
• Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
• Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
• Develop and analyze key performance indicators (KPIs) to monitor project health and success.
• Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
• Maintain and update project management tools and systems
• Generate detailed project reports, dashboards, and presentations for stakeholders.
• Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
• Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
• Ensure that all project documentation is stored and organized according to PMO standards
• Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

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

Qualifications and Competencies

• Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
• Proficiency in Python; experience with C++, Java, or R is beneficial
• Familiarity with AI/ML tools supporting logistics or operational use cases.
• Ability to quickly learn new tools and technologies.
• Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
• Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
• Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
• Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
• Collaborative team player with strong interpersonal skills.
• Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

• Bachelor’s degree in business administration, data analytics, or a related field.
• Master’s degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
  • Additional applicable experience may be substituted for formal education.
• Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

• 5+ years of experience using data science, machine learning, or advanced analytics
• 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
• Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
• Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
• Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
• Experience communicating analytical findings through visualizations and presentations.
• Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
• Experience working with structured, unstructured, or semi-structured data and conducting analysis
• Strong experience with SQL and relational databases.

Physical Requirements

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

• Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
• Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

A Software Engineer 2 is responsible for designing, developing, and testing software applications. They work closely with the software development team to analyze user needs and create efficient and functional software solutions. They are proficient in programming languages and have a strong understanding of software development methodologies.

Essential Functions

• Develop Embedded Linux and microcontroller software applications using C/C++, and occasionally other programming languages.
• Develop new Navigation, Autonomy, Sensor fusion and Collaboration features into our software and products.
• Integrate new technologies like ROS1/2 and Docker into software platforms.
• Use middleware like ROS1/2 to implement modular system architectures.
• Use Docker to build and deploy containerized applications to embedded applications.
• Collaborate in code reviews / merges and in configuration management.
• Support the designing and overseeing development projects, software testing, and maintain computer programs using advanced software programming and/or scripting languages, techniques, and standards.
• Conduct alpha tests and coordinate beta tests of new or modified applications based on industry best standards and procedures for testing and review.
• Review and evaluate technological developments in hardware, software, and telecommunications for applicability to current or future requirements.
• Analyze user requirements to derive software design and performance requirements.
• Apply the appropriate standards, processes, procedures, and tools throughout the development lifecycle, and ensure reuse of code.
• Contribute during the entire software development process including requirements, design, implementation, test, debugging and deployment.
• Perform other duties as assigned.

Standard Essential Functions

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

Qualifications and Competencies

• Security Clearance- Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required
• Ability to grow your professional skills and learn from challenges.
• Ability to collaborate in the development effort while also providing innovative and creative solutions.
• Ability to run with an idea or solution and create opportunities to see the product succeed.
• A record of successful delivery of software applications as an individual and with a team.
• Strong understanding of agile software development methodologies and principles.
• Strong understanding of and desire to implement continuous delivery and integration within the development life-cycle.
• Excellent verbal and written communication skills in order to clearly communicate design, architecture, implementations and requirements.
• Self-motivated and capable of managing own workload.
• Results-oriented with a commitment to achieving goals.
• Excellent time management and organizational skills.
• Demonstrated ability to meet deadlines and handle pressure effectively.

Education / Certifications

• Bachelor's degree in Computer Science, Computer Engineering, or related Software Development focused field.

Experience

• 3+ years of software development experience
• Experience with build systems/tools such as CMake, Meson, and Ninja
• Required Experience:
• C/C++
• CMake
• Embedded and micro-controller programming
• Linux, x86, ARM - cross-compilers and toolchains
• Middleware (e.g., ROS1/2, zmq, RabbitMQ, DDS, or Zenoh)
• Git
• Docker
• Networking and Data I/O

Preferred Experience:

• Autopilot integration
• Autonomy
• Visual Studio / VS Code
• Sensor fusion (i.e., GNSS, IMU, Visual Navigation)
• Sensor fusion timing
• Collaborative Navigation
• Algorithm development
• Linux tools
• Open Source robotics/perception libraries (e.g., Eigen, GDAL, OpenCV)
• CI/CD

Physical Requirements

While performing the duties the employee is: Constantly required to sit, and to reach to use computers and other office equipment Frequently required repetitive movements of wrists, hands, and/or fingers For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Job Overview

The Embedded Systems Group Lead serves both as lead engineer and as a technical manager. The Group Lead provides both technical direction and organizational leadership for the embedded systems software engineering team developing advanced autonomy, control, and mission systems for AEVEX’s UAS platforms. This individual serves as an in-house expert, both for managers from other departments who need software solutions and the less experienced staff within the department. The Embedded Systems Group Lead serves as the primary leader and advocate for the software engineering team representing their needs, removing roadblocks, and acting as their voice to program management, customers, and company leadership. This role bridges technical execution and strategic alignment ensuring that software deliverables meet mission, schedule, and quality objectives while fostering a high-performance engineering culture. The Group Lead looks at different possible solutions and how feasible those options are. The Group Lead will oversee multiple concurrent projects, day-to-day leadership of engineers, resource management, and serve as the primary interface between the software team and program management, systems engineering, flight test, customers, and company leadership. The Group Lead is also responsible for keeping proprietary information confidential.

Essential Functions

• Lead a multidisciplinary software engineering group responsible for embedded, autonomy, and ground-station UAS software development.
• Manage team workload, task assignment, and performance across multiple concurrent programs.
• Balance staffing, priorities, and technical focus to meet both near-term deliverables and long-term capability growth.
• Interface with Flight Test, Systems Engineering, and Hardware teams to ensure system-level integration and rapid iteration.
• Serves as the primary interface between software engineering, program management, customers, and executives.
• Coordinates seamlessly with systems, hardware, and test teams to deliver integrated UAS capabilities
• Implement networked and containerized system design.
• Provide cradle-to-grave ownership of software developed after release, including updates, support, and technical oversight.
• Integrate and maintain real-time systems for flight-critical and autonomy software components.
• Design and oversee integration of sensors, GPS/INS fusion, and communication protocols (SPI, I2C, UART, CAN, TCP/UDP).
• Develop and maintain software for embedded Linux and microcontroller-based systems using C, C++, and Python and occasionally other programming languages (C#, Lua, etc).
• Guide implementation of frameworks such as Docker, ROS2, MAVLINK, and TCP/UDP communication for distributed autonomy and mesh networking.
• Oversee embedded and UAV autonomy system software design and integration.
• Oversee CI/CD pipelines, software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing environments.
• Oversee communication protocol design and debugging across mixed hardware interfaces.
• Oversee integration of sensors, radios, routers, and mission equipment into distributed UAV systems.
• Evaluate and integrate new frameworks, open-source libraries, and technologies into the tech base.
• Define and document software requirements, architectures, and interfaces across embedded and companion computing environments.
• Conduct real-time performance optimization and deterministic behavior assurance.
• Promote configuration management, versioning, and documentation discipline.
• Encourages experimentation and technical excellence while ensuring disciplined engineering practices.
• Anticipate technology needs and workforce scaling.
• Perform other duties as required.
• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Understanding of configuration, troubleshooting, data analysis, and integration of a wide variety of applications and equipment such as internal software libraries and products, GPS receivers, LiDAR sensors, inertial sensors, network routers, radio modems, serial port hubs, etc.
• Proficiency in C, C++, Python, and exposure to C#, Lua, or similar languages.
• Hands-on experience with ArduPilot or PX4 frameworks preferred.
• Familiarity with ROS, Docker, and distributed networked systems.
• Understanding of DevOps, CI/CD, version control, and software verification in R&D environments.
• Ability to clearly convey complex technical concepts and program status to diverse internal and external audiences.
• Ability to aligns technical execution with program and company objectives.
• Ability to task technical risks in a chaotic environment.
• Champions AEVEX’s culture and empowers employees to take responsibility for their jobs and goals.
• Engages employees by creating a climate in which they want to do their best.
• Sets performance standards and encourages employee engagement and results through delegation, continuous feedback, goal setting, and performance management.
• Maintains employee work schedules.
• Provides oversight and direction to the employees in accordance with AEVEX’s policies and procedures.
• Ability to serves as lead advocate for the Software team, consistently representing and supporting the engineering team’s needs and perspectives to leadership.
• Ability to build and develop high-performing teams through mentorship, accountability, and empowerment.
• Ability to clearly articulates expectations to Software team and is transparent in decision making.
• Ability to takes ownership of technical outcomes, schedule adherence, and team performance metrics.

Education / Certifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering or related field required, MS preferred

 Experience

• 7+ years of software development experience, with experience in technical leadership or teamlead roles preferred.
• Proven experience developing autopilot systems, ground control stations, or flight simulation software.
• Prior experience in robotics, autonomous systems, or multi-agent coordination is highly preferred.
• Extensive experience with embedded systems and Linux-based environments.
• Experience in communication protocol design and debugging across mixed hardware.
• Experience across defense and commercial UAV applications.
• Experience on both military and commercial applications.
• Experience with embedded and companion computing environments (NVIDIA Jetson/Orin, Arduino, Raspberry Pi, STM32).

Physical Requirements

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

• Occasionally required to stand for extended periods of time

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

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

Disclaimer

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

What You’ll Be Owning:

We are seeking a senior-level Data Scientist to design, develop, and deploy advanced data-driven applications in support of mission-critical environments. The ideal candidate operates independently with minimal oversight, delivers production-grade solutions, and understands how to translate operational requirements into scalable, secure solutions.

This role blends full-stack Python development, geospatial analytics, dashboarding, DevSecOps practices, and familiarity with Intelligence Community (IC) and DoD environments.

What You Must Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications & education can be used in lieu of years of experience)
• Expert-level proficiency in Python and demonstrated experience building scalable, production-ready applications.
• Experience querying and integrating web APIs to retrieve, normalize, and operationalize data.
• Proficiency with at least one Python web framework (Flask, FastAPI, Django, or similar).
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Ability to develop basic web interfaces using HTML, CSS, and JavaScript.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Familiarity with containerization technologies (e.g., Docker) and deploying containerized applications.
• Working knowledge of DevSecOps principles and secure software development practices.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with Activity Based Intelligence (ABI), All-Source, or Multi-INT analysis environments.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

#LI-GM1

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.