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

Key Responsibilities: 

• AWS Infrastructure & Architecture: 

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

• Security & Compliance: 

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

• Team Enablement & Collaboration: 

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

Required Skills & Experience: 

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

Preferred Qualifications: 

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

Clearance:

• An Active TS/SCI is required

#LI-Defense 

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 Opportunity

Candidates must be located in the eastern time zone

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

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

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

What to Expect

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

What You Need to Be Successful

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

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

About the opportunity

Candidates must be located in the eastern time zone

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

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

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

What to expect?

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

What you need to be successful?

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

What's in it for you?

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

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

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

#LI-Remote

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.

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

Responsibilities:

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

Qualifications

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

Nice to have

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

Clearance

• An active TS/SCI is required

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

Responsibilities:

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

Amazing to Have:

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

Qualifications:

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

Nice to have

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

Clearance

• An active TS/SCI is required

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

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

Responsibilities

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

Qualifications

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

Preferred Qualifications

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

Clearance

• An active TS/SCI is required

Your Role as a Senior Site Reliability Engineer: 

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

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

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

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

What You’ll Need: 

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

Nice to Haves: 

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

The Perks of Working for Appspace:

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

Additional perks include:

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

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

Required Qualifications:

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

Desired Qualifications:

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

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

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

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

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

Responsibilities:

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

Qualifications:

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

Preferred Qualifications:

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

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

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