Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to manage the delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support an account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

We have a diverse team with a variety of skill sets, many have:

• A technical background (education or professional experience with computer science, economics, statistics, engineering)
• A proven track record in B2B client-facing roles and expanding client relationships
• Prior experience owning the technical implementation of solutions to the government 

Must haves:

• An active TS/SCI clearance
• 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers up to 4 days per week in the South Tampa area and travel up to 25%

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

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

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

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

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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

Strategic Account Executive at Unframe 

Location: Miami or Tampa, FL (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

Clearance

• An active TS/SCI clearance is required

• A minimum of 1 year of hands-on Data Science experience is required.
• Bachelor's Degree in a STEM field is required.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.)
• Proficient in Agile Development and Git operations 
• A Top Secret Clearance with SCI eligibility is required 
• Demonstrated ability to work in a fast-paced environment with evolving requirements

• Familiarity with DoD
• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 

Job Description: 

Accenture Federal Services is seeking a Software Engineer who will develop pipeline development to support a range of government programs in a secure environment. This role focuses on designing, building, software systems and optimizing data pipelines that enable advanced analytics, machine learning, and mission-critical decision support.

Responsibilities:

• Design and develop signal processing software components using Java, and Python
• Define and implement data formatting and interface specifications
• Design, develop and implement algorithms for specialized automated processes and interfaces with databases
• Develop scripts to support remote deployment, troubleshooting and system maintenance activities
• Document software release descriptions and remote deployment procedures

Here's what you need:

• 3 years of experience in software engineering
•  Experience with Java and Python scripting
• Experience with database programming such as SQL, PostgreSQL, or SQL Alchemy
• Experience with any software tools/frameworks such as, but not limited to:Git, Visual Code, Maven, Nexus, etc..

Bonus points if you have:

• Master’s degree in computer science, software engineering, data engineering, data science or a related technical field.
• Experience supporting federal programs
• Familiarity with data lake and data warehouse technologies such as: Snowflake, Redshift, and/or BigQuery
• Knowledge of machine learning model deployment and MLOps practices

Clearance:

• An active TS/SCI federal security clearance is required

The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership.

Essential Functions

• Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment.
• Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management.
• Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio
• Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management.
• Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering).
• Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements.
• Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR).
• Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms.
• Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase.
• Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance.
• Support proposal development, customer briefings, and technical strategy discussions with government and defense partners.
• Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming.
• Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development.
• 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 Top Secret/SCI DoD clearance, U.S. Citizenship required.
• Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems.
• Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals.
• Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost.
• Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications.
• Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment.
• Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management.
• Familiarity with defense acquisition processes and government contracting environments.
• Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures.
• Exceptional analytical, problem-solving, and decision-making skills.
• Strong written and verbal communication skills, with experience presenting to senior defense stakeholders.
• Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing.

Education / Certifications

• Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required.
• Master’s degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred.

Experience

• 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development.
• 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development
• 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent).
• 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution
• Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program.
• Experience interfacing directly with DoD customers, prime contractors, and/or government program offices.
• Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms.
• Experience with test and evaluation planning, field demonstrations, and operational deployment support.
• Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities.
• Experience with safety-critical systems and applicable certification standards.

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.

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. 

Director Sales, East at Unframe 

Location: East Coast, USA

About Unframe:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for a Director of Enterprise Sales to drive go-to-market execution within their assigned region, leading a team of Strategic Account Executives focused on new enterprise acquisition and account expansion.

You’ll partner closely with the Regional Vice President and executive leadership to drive quota attainment, improve deal execution, and scale a high-performance sales culture.

What you’ll do:

• Lead and Develop a High-Performing Team
• Manage and coach Strategic AEs, reinforcing excellence in discovery, multi-threaded engagement, forecasting discipline, and enterprise deal strategy.
• Drive Regional Pipeline and Revenue Execution
• Support team pipeline generation, deal progression, and accurate forecasting across complex, multi-stakeholder enterprise sales cycles.
• Elevate Deal Strategy
• Act as a player-coach in key opportunities, helping AEs navigate C-suite conversations, technical validation, procurement, and compliance stakeholders.
• Ensure strong CRM hygiene, forecast accuracy, pipeline inspection, and adherence to defined sales processes.
• Collaborate with Product Solutions, Partnerships, Marketing, and Customer Success to ensure seamless execution from first meeting through expansion.
• Identify regional market opportunities and provide feedback loops to influence GTM strategy and enablement programs.

What we are looking for:

• 5+ years in enterprise sales leadership or team lead roles.
• 8+ years in enterprise software sales (AI/ML, data infrastructure, digital transformation preferred).
• Experience closing and coaching $1M+ ACV enterprise deals.
• Strong forecasting discipline and pipeline management expertise.
• Deep understanding of consultative, solution-based selling.
• Entrepreneurial mindset, comfortable operating in high-growth, fast-paced environments

Nice to have:

• Experience selling into regulated industries.
• Experience building teams in early-stage or scaling SaaS environments.
• Experience operating within a multi-region enterprise GTM structure.

Why Join us?: 

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

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. 

About the Role

The Director of Pricing Strategy is a senior, cross-functional leadership role responsible for owning the full lifecycle of freight pricing, from bid strategy and RFP response through programmatic API-based quoting and real-time margin management. This role sits at the intersection of commercial, data, and technology and serves as the company's authoritative voice on rate strategy, market intelligence, and pricing model architecture.

The ideal candidate combines deep freight industry fluency with hands-on analytical capability and technical literacy to collaborate directly with data science and engineering teams. This is a player-coach role with a mandate to build scalable pricing infrastructure that supports both reactive bid work and proactive revenue optimization.

Core Responsibilities

Bid Management & Commercial Pricing

• Own end-to-end RFP and bid pricing strategy, setting floor/ceiling logic by lane, mode, and customer segment
• Partner with Sales to develop winning bid packages that balance competitiveness with margin integrity
• Build and maintain carrier cost models that feed bid pricing, incorporating fuel, accessorials, and capacity conditions
• Establish pricing governance, approvals, exception handling, and escalation paths for non-standard deals

Market Intelligence & Rate Analytics

• Monitor and synthesize external freight indices, including DAT spot rates, Cass Freight Index, EIA diesel prices, and BLS wage data
• Translate external market signals into actionable pricing adjustments; communicate trends to Sales and Operations leadership
• Maintain competitive rate benchmarks across key lanes and customer verticals
• Develop and maintain a freight cost and revenue forecasting model covering a 2–3-year history, 6–12-month trend direction, and 30–60-day live calibration layers

API & Programmatic Pricing

• Manage integrations with market cost APIs, spot market data feeds, and TMS pricing modules
• Define the business rules and model logic that drive automated quoting and real-time rate responses
• Own the requirements and business logic for any AI-assisted pricing tools or forecasting models built internally

P&L Visibility & Margin Management

• Track cost vs. revenue performance at the load, lane, and customer level
• Partner with Finance to develop pricing-related reporting within the data platform (SQL Server, Databricks)
• Establish margin policies and alert mechanisms for loads trending below threshold

Strategy & Leadership

• Serve as a strategic advisor on pricing positioning, market conditions, and competitive dynamics
• Represent pricing strategy in client-facing meetings, QBRs, and partnership discussions
• Define and report on a monthly pricing performance scorecard for leadership
• Evaluate and recommend third-party tools, data subscriptions, and technology investments that strengthen the pricing function

Qualifications

Required

• 7+ years of experience in freight pricing, rate analysis, or commercial strategy within a 3PL, brokerage, or asset-based carrier
• Deep knowledge of TL and LTL pricing mechanics
• Strong analytical skills; comfortable working in SQL, Excel, or BI tools to build and validate pricing models
• Track record of collaborating directly with sales, operations, and technology teams in a cross-functional capacity
• Excellent communication skills, able to translate complex pricing analysis into an executive-ready narrative

Preferred

• Experience with freight data platforms or indices (DAT, Cass, Greenscreens, FreightWaves SONAR)
• Familiarity with Databricks, Sigma, or similar modern data stack tools
• Exposure to machine learning or statistical forecasting models applied to freight pricing
• Experience in a TMS environment (TMW, McLeod, MercuryGate, or similar)

#LI-CH1

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.

Join a high-impact engineering team at AEVEX Aerospace working at the intersection of robotics, computer vision, and resilient navigation. As a summer intern, you’ll support real-world projects focused on enabling autonomous systems to navigate confidently in environments where GPS is degraded or denied. This internship offers hands-on experience across the full development cycle—from sensor data collection and algorithm prototyping to hardware integration and live flight testing.

We are seeking a highly motivated engineering student to join our team for the summer. As an intern, you will have the opportunity to work on cutting-edge research and development in robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

Essential Functions

• Assist in the development and testing of software for sensor data acquisition and multi-sensor fusion (e.g., IMUs, cameras, GNSS, LiDAR)
• Support integration of novel navigation hardware and software onto AEVEX platforms, including embedded systems and edge devices
• Participate in test and evaluation campaigns, including live flight tests at AEVEX test facilities
• Conduct data reduction and analysis during and after flight testing to validate system performance
• Prototype and validate computer vision or deep learning-based techniques for localization, mapping, and estimation
• Contribute to simulations and software testing using environments like ROS, Gazebo, or CARLA
• Collaborate with engineers in autonomy, perception, and embedded systems across defense and aerospace applications
• Perform other duties as required.

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

• Familiarity with navigation algorithms, Kalman filtering, or SLAM is a plus
• Exposure to embedded platforms (e.g., NVIDIA Jetson) or real-time sensor systems is highly valued
• Comfortable working with both software tools and physical hardware
• Strong analytical and communication skills

Education / Certifications

• Pursuing a B.S., M.S., or PhD in Computer Engineering, Robotics, Electrical/Aerospace Engineering, Computer Science, or related fields

Experience

• Hands-on experience with C++, Python, and libraries like OpenCV, ROS, or PyTorch preferred.

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

Security Clearance

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

This is a full-time, onsite role at our Tampa Headquarters.

Join Us in the Fight Against Cyber Threats!

We are seeking a dynamic and detail-oriented Marketing & Enablement Specialist to join our growing team in Tampa, FL. This hybrid role sits at the intersection of marketing operations and sales enablement and plays a critical part in equipping our sales and success teams with the tools, training, and content they need to perform at their best.

The ideal candidate is highly analytical and a collaborative self-starter who thrives in a fast-paced environment, has a strong command of marketing technology platforms, and can translate strategy into execution with minimal supervision.

What You’ll Do

Sales & Success Enablement

• Serve as the primary administrator for HubSpot CRM, Salesforce, ZoomInfo, and LinkedIn Sales Navigator; manage licenses, data integrity, and user adoption.
• Own and manage the full onboarding experience for Sales and Customer Success team members, including curriculum design, scheduling, and facilitation.
• Administer and optimize the Litmos LMS platform for Sales and Customer Success training — build, assign, and track training paths for new hires and ongoing learning programs.
• Partner with Sales leadership to identify enablement gaps and develop targeted content, playbooks, and training resources.
• Track and report on enablement KPIs, including onboarding completion rates, ramp time, and tool utilization.
  

Marketing Operations & Content

• Maintain and regularly refresh the company's library of marketing collateral, sales decks, one-pagers, case studies, and email templates.
• Support demand-generation and ABM campaigns through content creation, HubSpot workflow builds, and landing page updates.
• Help coordinate internal and external events including trade shows, webinars, field and partner marketing events, and company offsites.

What You Bring

• 2-4 years of experience in a marketing, sales enablement, or marketing operations role.
• Hands-on experience administering HubSpot CRM (HubSpot certifications a plus).
• Proficiency with ZoomInfo and LinkedIn Sales Navigator for prospecting and data enrichment.
• Experience managing an LMS platform.
• Strong written and verbal communication skills; able to create polished, professional content independently.
• Proven ability to manage multiple projects simultaneously in a deadline-driven environment.
• Experience coordinating events of varying sizes, including trade show logistics.

      Preferred

• Degree in Marketing, Communications, Business, or a related field.
• Familiarity with graphic design tools (Canva, Adobe Creative Suite) for asset creation.
• Experience in a B2B SaaS or technology environment.
• Exposure to content management systems, email marketing platforms, and marketing analytics dashboards.

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.

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.

Who we seek:

We are looking for a Regional Sales Manager who will be responsible for driving deals in the market. The ideal candidate will be based in Central Florida (Tampa/Orlando), with experience selling enterprise data or security products, and understands how to sell to complex technical audiences.

What you’ll do:

• Identify, develop, and execute a comprehensive account strategy to close new business and drive expansion growth with customers across a defined territory.
• Prepare and maintain an accurate sales forecast for your territory.
• Network in customer and related organizations.
• Establish, access, and create positive business relationships with key executives and senior-level decision-makers.
• Maintain accurate and up to date account intelligence in Salesforce, including regular forecasting of business opportunities to sales and executive leadership.
• Report on sales activity and forecast to senior sales management.
• Responsible for territory quota and named accounts.
• Direct an inside sales team and marketing to uncover opportunities in territory.

What you’ll bring:

• Excellent oral and written communication, able to articulate and present well in front of technical and executive level stakeholders.
• You will have 5-10+ years of direct sales experience selling enterprise software to mid-size to large enterprises.
• Proven track record of successfully closing six and seven figure software licensing deals with prospects and customers in the defined territory.
• You have a measurable track record in new business development and overachieving sales targets.
• Prior experience selling data security.
• Experience in selling complex enterprise software solutions and ability to adapt in fast-growing and changing environments.

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

•   Care - We care about our customers and each other
•   Do - We do what it takes to make a positive impact
•   Try - We try our best and we don’t give up
•   Shine - We shine and make it our mission to always stand out

The annual base salary range is $150,000 – $165,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

BigBenefits: 

💻 Work from home with a global remote-first community

🏆 Global Culture Corner

🏝️ Flexible PTO and Quarterly Volunteer Days

💸  Equity Participation

🏥 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

💰 Fidelity Employer Sponsored 401K 

🍼 Paid Parental Leave

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