Raft Company Website
Boston, Massachusetts
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Raft Company Website
Rome, New York
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. About the role: Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments. As a Senior DevOps Engineer at Raft, you won't be operating in a pure infrastructure lane. You will be expected to understand the software you're deploying, contribute to it when needed, and engage with the data pipelines flowing through the systems you manage. This is a role for someone who thinks end-to-end, from data ingest and pipeline performance through to Kubernetes-based deployment, observability, and secure operations in defense environments. You will work across cloud and on-premises environments, partner closely with software and data engineers, and help Raft maintain the operational rigor and platform reliability that our most demanding customers depend on. What You'll Do Design, implement, and maintain secure Kubernetes-based infrastructure supporting data platform workloads across cloud and on-premises environments Build, manage, and improve CI/CD pipelines using GitLab and GitOps-based delivery patterns, enabling reliable, repeatable deployments across multiple classification levels Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Ansible to provision, configure, and lifecycle-manage platform infrastructure Collaborate directly with software engineers to understand service architectures, dependencies, and runtime behavior, and contribute code-level changes where needed to improve deployability, reliability, or observability Support and optimize data streaming and processing pipelines built on technologies such as Kafka, Kafka Streams, Flink, and Pinot, diagnosing bottlenecks, tuning configurations, and ensuring data integrity across the platform Implement and manage platform observability using monitoring (Prometheus, Grafana), logging (Fluentbit, Loki, Kibana), and alerting tooling to maintain operational awareness in production environments Apply and enforce DevSecOps practices including container hardening, vulnerability scanning, software supply chain security, and compliance-driven deployment patterns in regulated government environments Manage and debug complex Helm chart deployments, service mesh configurations (Istio), and Kubernetes networking across multi-cluster and multi-environment topologies Support operations across multiple deployment targets, cloud-hosted (AWS, Azure), on-premises data centers, and edge/tactical environments, adapting platform patterns to the constraints of each Write clean, maintainable automation and tooling in Java or Go to accelerate platform operations, reduce toil, and improve developer experience across engineering teams Engage directly with customers at the most operationally demanding locations in the Department of War What we are looking for: 5+ years of relevant hands-on experience in DevOps or platform engineering roles. 5+ years of production experience with Docker and Kubernetes, including provisioning, operating, and troubleshooting clusters in real-world environments Strong experience building and maintaining CI/CD pipelines, with hands-on proficiency in GitLab CI, GitOps workflows (Flux, ArgoCD), and modern software delivery practices Experience supporting data-intensive platforms using streaming technologies such as Kafka, or Flink, including configuration, tuning, and operational support Solid understanding of data engineering fundamentals, including ETL/ELT pipeline design, data storage patterns, data governance concepts, and integration with downstream consumers Proficiency with Infrastructure as Code tooling, particularly Terraform; experience with Ansible or similar configuration management tools Strong Helm proficiency, including authoring and maintaining charts for complex multi-service deployments Hands-on experience with platform observability tooling: Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases, not just deploying them Experience with cloud infrastructure on AWS and/or Azure, including networking, IAM, storage, and managed Kubernetes services Strong systems thinking, troubleshooting discipline, and the ability to work independently in a fast-moving environment with competing priorities Experience applying secure and compliant deployment practices in regulated or government environments Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance Ability to obtain Security+ certification within the first 90 days of employment Ability to travel up to 25% Highly preferred: Experience with service mesh technologies, particularly Istio, including traffic management, mTLS, and observability integration Familiarity with Kubernetes-based ML/AI platforms such as Kubeflow, KServe, or Ray, and experience supporting GPU-enabled workloads Experience with software supply chain security tools including container image scanning, SBOM generation, and runtime vulnerability management Background supporting deployments across multiple classification levels or air-gapped / disconnected environments Experience with package and dependency management across polyglot environments (Maven, Gradle, NPM, Yarn, pip) Familiarity with compliance frameworks relevant to DoW software deployment, including RMF, STIGs, and IL4/IL5/IL6 requirements Contributions to or ownership of internal developer platforms, golden path tooling, or shared infrastructure services Experience with distributed tracing and APM tooling (e.g., OpenTelemetry, Jaeger, Tempo) Existing TS/SCI clearance strongly preferred What Success Looks Like Platform deployments are reliable, repeatable, and secure across every environment Raft operates in, from commercial cloud to classified on-premises Engineering teams move faster because CI/CD workflows, infrastructure tooling, and deployment patterns are solid, well-documented, and easy to use Data pipelines running through Raft's platform are stable, observable, and performant, with clear ownership of issues when they arise You've earned the trust of software engineers by understanding what they've built and engaging meaningfully in conversations about architecture, runtime behavior, and operational trade-offs Compliance and security posture across deployment environments is continuously maintained, not bolt-on Clearance Requirements: Minimum active Secret clearance with ability to obtain and maintain an active TS SCI security clearance Salary Range: $150,000.00 - $200,000.00 Work Type: Hybrid with up to 25% travel Active Secret clearance required to start; TS/SCI eligibility required 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 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 . click apply for full job details
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. About the role: Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments. As a Senior DevOps Engineer at Raft, you won't be operating in a pure infrastructure lane. You will be expected to understand the software you're deploying, contribute to it when needed, and engage with the data pipelines flowing through the systems you manage. This is a role for someone who thinks end-to-end, from data ingest and pipeline performance through to Kubernetes-based deployment, observability, and secure operations in defense environments. You will work across cloud and on-premises environments, partner closely with software and data engineers, and help Raft maintain the operational rigor and platform reliability that our most demanding customers depend on. What You'll Do Design, implement, and maintain secure Kubernetes-based infrastructure supporting data platform workloads across cloud and on-premises environments Build, manage, and improve CI/CD pipelines using GitLab and GitOps-based delivery patterns, enabling reliable, repeatable deployments across multiple classification levels Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Ansible to provision, configure, and lifecycle-manage platform infrastructure Collaborate directly with software engineers to understand service architectures, dependencies, and runtime behavior, and contribute code-level changes where needed to improve deployability, reliability, or observability Support and optimize data streaming and processing pipelines built on technologies such as Kafka, Kafka Streams, Flink, and Pinot, diagnosing bottlenecks, tuning configurations, and ensuring data integrity across the platform Implement and manage platform observability using monitoring (Prometheus, Grafana), logging (Fluentbit, Loki, Kibana), and alerting tooling to maintain operational awareness in production environments Apply and enforce DevSecOps practices including container hardening, vulnerability scanning, software supply chain security, and compliance-driven deployment patterns in regulated government environments Manage and debug complex Helm chart deployments, service mesh configurations (Istio), and Kubernetes networking across multi-cluster and multi-environment topologies Support operations across multiple deployment targets, cloud-hosted (AWS, Azure), on-premises data centers, and edge/tactical environments, adapting platform patterns to the constraints of each Write clean, maintainable automation and tooling in Java or Go to accelerate platform operations, reduce toil, and improve developer experience across engineering teams Engage directly with customers at the most operationally demanding locations in the Department of War What we are looking for: 5+ years of relevant hands-on experience in DevOps or platform engineering roles. 5+ years of production experience with Docker and Kubernetes, including provisioning, operating, and troubleshooting clusters in real-world environments Strong experience building and maintaining CI/CD pipelines, with hands-on proficiency in GitLab CI, GitOps workflows (Flux, ArgoCD), and modern software delivery practices Experience supporting data-intensive platforms using streaming technologies such as Kafka, or Flink, including configuration, tuning, and operational support Solid understanding of data engineering fundamentals, including ETL/ELT pipeline design, data storage patterns, data governance concepts, and integration with downstream consumers Proficiency with Infrastructure as Code tooling, particularly Terraform; experience with Ansible or similar configuration management tools Strong Helm proficiency, including authoring and maintaining charts for complex multi-service deployments Hands-on experience with platform observability tooling: Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases, not just deploying them Experience with cloud infrastructure on AWS and/or Azure, including networking, IAM, storage, and managed Kubernetes services Strong systems thinking, troubleshooting discipline, and the ability to work independently in a fast-moving environment with competing priorities Experience applying secure and compliant deployment practices in regulated or government environments Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance Ability to obtain Security+ certification within the first 90 days of employment Ability to travel up to 25% Highly preferred: Experience with service mesh technologies, particularly Istio, including traffic management, mTLS, and observability integration Familiarity with Kubernetes-based ML/AI platforms such as Kubeflow, KServe, or Ray, and experience supporting GPU-enabled workloads Experience with software supply chain security tools including container image scanning, SBOM generation, and runtime vulnerability management Background supporting deployments across multiple classification levels or air-gapped / disconnected environments Experience with package and dependency management across polyglot environments (Maven, Gradle, NPM, Yarn, pip) Familiarity with compliance frameworks relevant to DoW software deployment, including RMF, STIGs, and IL4/IL5/IL6 requirements Contributions to or ownership of internal developer platforms, golden path tooling, or shared infrastructure services Experience with distributed tracing and APM tooling (e.g., OpenTelemetry, Jaeger, Tempo) Existing TS/SCI clearance strongly preferred What Success Looks Like Platform deployments are reliable, repeatable, and secure across every environment Raft operates in, from commercial cloud to classified on-premises Engineering teams move faster because CI/CD workflows, infrastructure tooling, and deployment patterns are solid, well-documented, and easy to use Data pipelines running through Raft's platform are stable, observable, and performant, with clear ownership of issues when they arise You've earned the trust of software engineers by understanding what they've built and engaging meaningfully in conversations about architecture, runtime behavior, and operational trade-offs Compliance and security posture across deployment environments is continuously maintained, not bolt-on Clearance Requirements: Minimum active Secret clearance with ability to obtain and maintain an active TS SCI security clearance Salary Range: $150,000.00 - $200,000.00 Work Type: Hybrid with up to 25% travel Active Secret clearance required to start; TS/SCI eligibility required 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 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 . click apply for full job details
Raft Company Website
Colorado Springs, Colorado
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. About the role: As a Principal Software Developer, you will serve as a senior technical authority responsible for defining, guiding, and validating software solutions for large-scale, mission-critical systems. You will lead technical planning, architecture decisions, and system integration efforts across programs while influencing engineering best practices and long-term technical direction.This role demands deep technical expertise, strategic thinking, and the ability to lead teams This role requires deep hands-on expertise and the ability to collaborate closely with systems engineers, testers, and stakeholders to deliver high-quality software in structured or regulated environments. Key Responsibilities: Lead technical planning and execution for complex software systems and subsystems Define and validate high-level and detailed software requirements across programs Architect and guide software solutions aligned with mission, operational, and enterprise needs Oversee and direct test planning and execution, including: Use case development Test strategy, procedures, and test data System-level validation and verification Lead software systems integration across platforms and environments Provide senior-level technical oversight across the full software lifecycle, including: Concept design Development and integration Installation and deployment Operations, sustainment, and modernization Retirement and disposal Conduct and guide technical trade studies and architectural decision analysis Resolve the most complex software integration and performance challenges Mentor senior and mid-level developers and guide technical teams Ensure software solutions balance performance, security, schedule, and cost constraints Serve as a trusted technical advisor to program leadership and stakeholders What we are looking for: Bachelor's degree with 18+ years of related experience, or Master's degree with 16+ years, or PhD with 15+ years Expert-level experience in software architecture, development, systems integration and AWS tools Proven ability to lead complex technical efforts and guide engineering teams Extensive experience in requirements definition, system design, and validation Strong background supporting large-scale or mission-critical software systems Ability to influence technical direction across programs or organizations Highly preferred: Technical leadership experience on DoD, federal, or classified programs Deep familiarity with systems engineering methodologies and lifecycle processes Experience defining engineering standards, best practices, or reference architectures Formal mentorship or team leadership responsibilities Experience supporting highly regulated or high-assurance environments Clearance Requirements: Active Top Secret with ability to obtain and maintain SCI Work Type: Onsite in Colorado Springs, CO May require up to 15% travel Salary Range: $165,000 - $210,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities 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 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. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () 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. About the role: As a Principal Software Developer, you will serve as a senior technical authority responsible for defining, guiding, and validating software solutions for large-scale, mission-critical systems. You will lead technical planning, architecture decisions, and system integration efforts across programs while influencing engineering best practices and long-term technical direction.This role demands deep technical expertise, strategic thinking, and the ability to lead teams This role requires deep hands-on expertise and the ability to collaborate closely with systems engineers, testers, and stakeholders to deliver high-quality software in structured or regulated environments. Key Responsibilities: Lead technical planning and execution for complex software systems and subsystems Define and validate high-level and detailed software requirements across programs Architect and guide software solutions aligned with mission, operational, and enterprise needs Oversee and direct test planning and execution, including: Use case development Test strategy, procedures, and test data System-level validation and verification Lead software systems integration across platforms and environments Provide senior-level technical oversight across the full software lifecycle, including: Concept design Development and integration Installation and deployment Operations, sustainment, and modernization Retirement and disposal Conduct and guide technical trade studies and architectural decision analysis Resolve the most complex software integration and performance challenges Mentor senior and mid-level developers and guide technical teams Ensure software solutions balance performance, security, schedule, and cost constraints Serve as a trusted technical advisor to program leadership and stakeholders What we are looking for: Bachelor's degree with 18+ years of related experience, or Master's degree with 16+ years, or PhD with 15+ years Expert-level experience in software architecture, development, systems integration and AWS tools Proven ability to lead complex technical efforts and guide engineering teams Extensive experience in requirements definition, system design, and validation Strong background supporting large-scale or mission-critical software systems Ability to influence technical direction across programs or organizations Highly preferred: Technical leadership experience on DoD, federal, or classified programs Deep familiarity with systems engineering methodologies and lifecycle processes Experience defining engineering standards, best practices, or reference architectures Formal mentorship or team leadership responsibilities Experience supporting highly regulated or high-assurance environments Clearance Requirements: Active Top Secret with ability to obtain and maintain SCI Work Type: Onsite in Colorado Springs, CO May require up to 15% travel Salary Range: $165,000 - $210,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities 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 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. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.