About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

What You’ll Do

1. Understand spacecraft architecture and missions
2. Review current model and simulation capability
3. Identify any gaps in current simulation framework
4. Evaluate how simulation integrates with other teams within the company GSW, FSW, AI&T, MOPS, etc
5. Train as an operator to prepare for upcoming mission
6. Identify gaps from assessment and create the simulation architecture roadmap
7. Identify required models (Spacecraft subsystem, environment, GNC, etc)
8. Establish a framework that defines how hardware models, software models, and operational scenarios interact within the simulation environment
9. Establish how the digital twin gets integrated into a physics based “universe sim”
10. Establish a concrete validation strategy

 Mindset + skills: 

Mindset 

1. Systems level thinker understanding the crossroads of Physics, Software and Hardware
2. Ownership mindset serving as the technical authority across design and implementation
3. Ability to prioritize needs from multiple internal and external customers
4. Excels while operating in a fast-paced New Space environment
5. Strong desire to build and design something from the ground up
6. Someone willing to get dirty and produce code not just design
7. Passionate about creating a product that is used throughout the company 

Skills 

1. Strong understanding of orbital mechanics and astrodynamics
2. Experience modeling spacecraft dynamics, control systems, and environmental effects
3. Ability to design modular and extensible simulation architecture
4. Experience implementing physics-based simulations in Python and C++
5. Strong knowledge of numerical methods, time integration, and stability considerations
6. Experience building “universe-style” multi-body simulation environments
7. Ability to design simulations that support historical replay, real-time execution, and accelerated future-time scenarios
8. Experience with integrating simulations with GSW, FSW, AI&T, and HITL testing
9. Ability to design constellation level simulations
10. Experience designing event-driven or time-stepped simulation frameworks
11. Experience generating realistic synthetic telemetry 
12. Strong V&V practices  

 Your Ideal Background

Required

1. 10+ years of experience in modeling and simulation for complex aerospace missions
2. Deep understanding of physics engines or digital twins (subsystem/component models, dynamical systems, etc)
3. Experience developing for multiple internal stakeholders such as AI&T, GSW, MOPS, FSW, etc
4. BS in Aerospace Engineering, Physics, Computer Science or closely related STEM field
5. Deep knowledge in C++, Python, Basilisk (or similar Framework), Docker, K8, CI/CD 

Preferred 

1. Proven ownership of the design and architecture of a multi-model and simulation system
2. Understanding of distributed simulation frameworks
3. Strong foundation in multiple subsystems such as GNC, Flight Dynamics, EPS, Propulsion, etc
4. Nice to have experience simulating 6-DOF relative motion and ROPD missions 

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $130,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

The base salary range across the U.S. for this role is between $133,800-$200,700. In addition, this role is eligible for commission. Black Duck offers a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. 

As Principal Software Cybersecurity Engineer you will be responsible for;

• Design and implement anti‑tamper protections and embedded cybersecurity frameworks for safety‑critical and secure product lines.
• Lead secure software engineering activities including code analysis, requirements evaluation, architecture reviews, and interface design to ensure robust system security.
• Develop, test, and debug secure applications using languages such as C/C++, Python, and shell scripting.
• Support cybersecurity validation and testing efforts across diverse platforms including embedded systems, RF technologies, and advanced hardware solutions.
• Build and maintain embedded Linux environments, including creation and customization of Linux distributions using embedded build frameworks.
• Collaborate in a cross‑functional engineering environment using Agile methodologies and modern development tools.
• Contribute to system hardening efforts and ensure compliance with security standards and best practices across the development lifecycle.

Qualifications;

• Bachelor’s degree or higher in Computer Science, Software Engineering, Cybersecurity, or a related technical field.9+ years of experience in software development or cybersecurity, including 5+ years focused on application security or system hardening in a senior capacity.
• Strong background in software and system analysis, including code review, requirements assessment, and secure design practices.
• Proficiency in C/C++, Python, and scripting languages for secure application development.
• Experience working with Linux systems, including administration and development of embedded distributions.
• Familiarity with modern development and collaboration tools used in Agile engineering environments.
• Ability to obtain and maintain a government security clearance.
• Possession of, or ability to obtain, an industry‑recognized cybersecurity certification (e.g., Security+, CISSP).

Salary Range: $150,000 - $235,000

Location: Onsite in Westminster, CO

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position. 

Location: Denver, Colorado Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

Our goal is to deliver the next-generation of Conversational AI (CAI) by leveraging and creating the latest in Generative AI technology. We are looking for a Principal Engineer, AI Architect to design and implement the latest Generative AI based solution, reporting directly to the Head of Architecture. This role includes working with the innovation team and other senior engineers. As an architect, the engineer will be instrumental in shaping the AI vision of LivePerson. 

You Will: Key Responsibilities & Impact

• Architect and build next-generation Conversational AI products that push the boundaries of what's possible
• Lead and mentor engineering teams, setting technical direction and best practices
• Partner with Product to shape requirements and translate vision into scalable solutions
• Design cloud-native architectures that are resilient, scalable, and built for the future
• Integrate cutting-edge AI tools and services, championing their adoption across the team
• Drive engineering excellence through comprehensive test automation and quality-first delivery

You Have: Required Skills & Qualifications

• 10+ years building full-stack applications with Java and Node.js (Python and Vue.js are a plus)
• Bachelor's or Master's degree in Computer Science, Communications, or related field
• 5+ years designing and architecting enterprise-grade SaaS Products
• 5+ years shipping AI products to production
• Deep experience with cloud platforms (GCP experience is a plus)
• Background in data analytics and reporting tools, especially for contact centers and conversational analytics (nice to have)
• Proven track record leading engineering team as technical expert

The salary range for this role will be between $190,000 - $210,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

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.

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. 

Are you a creative, risk-taking researcher who excels at driving innovation from the lab into the real world? Do you thrive on solving the greatest challenges in distributed systems—from AI at the edge and cybersecurity to software-defined networking—for the world’s most important autonomous machines? If you are a long-term thinker who wants to work at the intersection of product development and field-proven technology, this role is for you! 

In this role, you will join a unique research team rated in the top 1% in the country for research commercialization success. As our Principal Distributed Systems Research Engineer, you won't just be conducting research that "dies in the lab"—you will be the driving force maintaining our status as the most advanced software infrastructure in the industry, ushering in the new era of autonomous vehicles, medical robotics, and smart power systems. You will conduct cutting-edge research in distributed systems — building on a proven, data-centric foundation while exploring the hardest open problems across the full stack, from how intelligent machines communicate to how they decide and act in the real world.

✨ What You’ll Do / Responsibilities

You will work with a team of experts researching emerging technologies, coming up with novel solutions for the problems posed by our research sponsors, exploring new concepts for products, prototyping ideas, and leading small teams to develop and to enhance advanced features related to RTI’s secure real-time connectivity platform, Connext. This is an individual contributor role. Duties will include:

• Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems.
• Create and execute long-term strategic research activities.
• Work with the business development team to define research areas of interest and define interesting research proposal topics.
• Write research proposals and project reports.
• Execute and lead research contracts to push our technology forward. Serve in the role of Principal Investigator and/or Staff Member on externally-funded research projects.
• Actively interface with research project sponsors, customers, research partners, and prospects.
• Keeping abreast of emerging technology trends and sharing your insights across RTI.
• Communicate technical innovations through papers and presentations.
• Support the transition of promising technical innovations to product including customer trials, coordinating with product management, and working closely with the engineering team to design, develop, test and support this transition.

🎯 What We’re Looking For / Requirements

• Ph.D. degree in Computer Science, Computer Engineering or related field. Studies related to distributed systems, peer-to-peer networks, or computer networking. Solid understanding of computer network protocols; network and system programming, and real-time and/or high-performance applications.
• 7+ years of experience in distributed systems research.
• Excellent written communications skills, and evidence of research publications. Experience writing and winning proposals, and research project management.
• Solid programming skills (e.g. C/C++, Java, Python or other scripting languages).
• Demonstrated ability to work with cutting edge technology/hardware with little to no support.
• Ability to work successfully / actively engage with a highly distributed team.
• US Person requirement *Due to applicable laws, government regulations and contract specifications, we are required to fill this position only with an individual who qualifies as a "U.S. Person."

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our team, here!

🌟 What We Offer You 

• Flexible working schedule. 
• Hybrid working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Competitive compensation including annual bonus based on individual and company performance 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

The compensation range for this role is 145K - 200K for Denver, Colorado. The salary range displayed on this job posting reflects a minimum and maximum target. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that this range reflects the base salary target range only, and does not include bonus, equity, or benefits.

For more information about how we collect and use your data, please see our Privacy Notice for US Job Applicants and Employees.

Are you a creative, risk-taking researcher who excels at driving innovation from the lab into the real world? Do you thrive on solving the greatest challenges in distributed systems—from AI at the edge and cybersecurity to software-defined networking—for the world’s most important autonomous machines? If you are a long-term thinker who wants to work at the intersection of product development and field-proven technology, this role is for you! 

In this role, you will join a unique research team rated in the top 1% in the country for research commercialization success. As our Principal Distributed Systems Research Engineer, you won't just be conducting research that "dies in the lab"—you will be the driving force maintaining our status as the most advanced software infrastructure in the industry, ushering in the new era of autonomous vehicles, medical robotics, and smart power systems. You will conduct cutting-edge research in distributed systems — building on a proven, data-centric foundation while exploring the hardest open problems across the full stack, from how intelligent machines communicate to how they decide and act in the real world.

✨ What You’ll Do / Responsibilities

You will work with a team of experts researching emerging technologies, coming up with novel solutions for the problems posed by our research sponsors, exploring new concepts for products, prototyping ideas, and leading small teams to develop and to enhance advanced features related to RTI’s secure real-time connectivity platform, Connext. This is an individual contributor role. Duties will include:

• Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems.
• Create and execute long-term strategic research activities.
• Work with the business development team to define research areas of interest and define interesting research proposal topics.
• Write research proposals and project reports.
• Execute and lead research contracts to push our technology forward. Serve in the role of Principal Investigator and/or Staff Member on externally-funded research projects.
• Actively interface with research project sponsors, customers, research partners, and prospects.
• Keeping abreast of emerging technology trends and sharing your insights across RTI.
• Communicate technical innovations through papers and presentations.
• Support the transition of promising technical innovations to product including customer trials, coordinating with product management, and working closely with the engineering team to design, develop, test and support this transition.

🎯 What We’re Looking For / Requirements

• Ph.D. degree in Computer Science, Computer Engineering or related field. Studies related to distributed systems, peer-to-peer networks, or computer networking. Solid understanding of computer network protocols; network and system programming, and real-time and/or high-performance applications.
• 7+ years of experience in distributed systems research.
• Excellent written communications skills, and evidence of research publications. Experience writing and winning proposals, and research project management.
• Solid programming skills (e.g. C/C++, Java, Python or other scripting languages).
• Demonstrated ability to work with cutting edge technology/hardware with little to no support.
• Ability to work successfully / actively engage with a highly distributed team.
• US Person requirement *Due to applicable laws, government regulations and contract specifications, we are required to fill this position only with an individual who qualifies as a "U.S. Person."

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our team, here!

🌟 What We Offer You 

• Flexible working schedule. 
• Hybrid working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Competitive compensation including annual bonus based on individual and company performance 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

The compensation range for this role is 170K - 240K for Sunnyvale, California. The salary range displayed on this job posting reflects a minimum and maximum target. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that this range reflects the base salary target range only, and does not include bonus, equity, or benefits.

For more information about how we collect and use your data, please see our Privacy Notice for US Job Applicants and Employees.

Are you a creative, risk-taking researcher who excels at driving innovation from the lab into the real world? Do you thrive on solving the greatest challenges in distributed systems—from AI at the edge and cybersecurity to software-defined networking—for the world’s most important autonomous machines? If you are a long-term thinker who wants to work at the intersection of product development and field-proven technology, this role is for you! 

In this role, you will join a unique research team rated in the top 1% in the country for research commercialization success. As our Distributed Systems Research Engineer, you won't just be conducting research that "dies in the lab"—you will be the driving force maintaining our status as the most advanced software infrastructure in the industry, ushering in the new era of autonomous vehicles, medical robotics, and smart power systems. You will conduct cutting-edge research in distributed systems — building on a proven, data-centric foundation while exploring the hardest open problems across the full stack, from how intelligent machines communicate to how they decide and act in the real world.

✨ What You’ll Do / Responsibilities

You will work with a team of experts researching emerging technologies, coming up with novel solutions for the problems posed by our research sponsors, exploring new concepts for products, prototyping ideas, and leading small teams to develop and to enhance advanced features related to RTI’s secure real-time connectivity platform, Connext. This is an individual contributor role. Duties will include:

• Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems.
• Create and execute long-term strategic research activities.
• Work with the business development team to define research areas of interest and define interesting research proposal topics.
• Write research proposals and project reports.
• Execute and lead research contracts to push our technology forward. Serve in the role of Principal Investigator and/or Staff Member on externally-funded research projects.
• Actively interface with research project sponsors, customers, research partners, and prospects.
• Keeping abreast of emerging technology trends and sharing your insights across RTI.
• Communicate technical innovations through papers and presentations.
• Support the transition of promising technical innovations to product including customer trials, coordinating with product management, and working closely with the engineering team to design, develop, test and support this transition.

🎯 What We’re Looking For / Requirements

• Ph.D. degree in Computer Science, Computer Engineering or related field. Studies related to distributed systems, peer-to-peer networks, or computer networking. Solid understanding of computer network protocols; network and system programming, and real-time and/or high-performance applications.
• 7+ years of experience in distributed systems research.
• Excellent written communications skills, and evidence of research publications. Experience writing and winning proposals, and research project management.
• Solid programming skills (e.g. C/C++, Java, Python or other scripting languages).
• Demonstrated ability to work with cutting edge technology/hardware with little to no support.
• Ability to work successfully / actively engage with a highly distributed team.
• US Person requirement *Due to applicable laws, government regulations and contract specifications, we are required to fill this position only with an individual who qualifies as a "U.S. Person."

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our team, here!

🌟 What We Offer You 

• Flexible working schedule. 
• Hybrid working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Competitive compensation including annual bonus based on individual and company performance 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

The compensation range for this role is 145K - 170K for Denver, Colorado. The salary range displayed on this job posting reflects a minimum and maximum target. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that this range reflects the base salary target range only, and does not include bonus, equity, or benefits.

For more information about how we collect and use your data, please see our Privacy Notice for US Job Applicants and Employees.

Are you a creative, risk-taking researcher who excels at driving innovation from the lab into the real world? Do you thrive on solving the greatest challenges in distributed systems—from AI at the edge and cybersecurity to software-defined networking—for the world’s most important autonomous machines? If you are a long-term thinker who wants to work at the intersection of product development and field-proven technology, this role is for you! 

In this role, you will join a unique research team rated in the top 1% in the country for research commercialization success. As our Distributed Systems Research Engineer, you won't just be conducting research that "dies in the lab"—you will be the driving force maintaining our status as the most advanced software infrastructure in the industry, ushering in the new era of autonomous vehicles, medical robotics, and smart power systems. You will conduct cutting-edge research in distributed systems — building on a proven, data-centric foundation while exploring the hardest open problems across the full stack, from how intelligent machines communicate to how they decide and act in the real world.

✨ What You’ll Do / Responsibilities

You will work with a team of experts researching emerging technologies, coming up with novel solutions for the problems posed by our research sponsors, exploring new concepts for products, prototyping ideas, and leading small teams to develop and to enhance advanced features related to RTI’s secure real-time connectivity platform, Connext. This is an individual contributor role. Duties will include:

• Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems.
• Create and execute long-term strategic research activities.
• Work with the business development team to define research areas of interest and define interesting research proposal topics.
• Write research proposals and project reports.
• Execute and lead research contracts to push our technology forward. Serve in the role of Principal Investigator and/or Staff Member on externally-funded research projects.
• Actively interface with research project sponsors, customers, research partners, and prospects.
• Keeping abreast of emerging technology trends and sharing your insights across RTI.
• Communicate technical innovations through papers and presentations.
• Support the transition of promising technical innovations to product including customer trials, coordinating with product management, and working closely with the engineering team to design, develop, test and support this transition.

🎯 What We’re Looking For / Requirements

• Ph.D. degree in Computer Science, Computer Engineering or related field. Studies related to distributed systems, peer-to-peer networks, or computer networking. Solid understanding of computer network protocols; network and system programming, and real-time and/or high-performance applications.
• 7+ years of experience in distributed systems research.
• Excellent written communications skills, and evidence of research publications. Experience writing and winning proposals, and research project management.
• Solid programming skills (e.g. C/C++, Java, Python or other scripting languages).
• Demonstrated ability to work with cutting edge technology/hardware with little to no support.
• Ability to work successfully / actively engage with a highly distributed team.
• US Person requirement *Due to applicable laws, government regulations and contract specifications, we are required to fill this position only with an individual who qualifies as a "U.S. Person."

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our team, here!

🌟 What We Offer You 

• Flexible working schedule. 
• Hybrid working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Competitive compensation including annual bonus based on individual and company performance 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

The compensation range for this role is 170K - 210K for Sunnyvale, California. The salary range displayed on this job posting reflects a minimum and maximum target. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that this range reflects the base salary target range only, and does not include bonus, equity, or benefits.

For more information about how we collect and use your data, please see our Privacy Notice for US Job Applicants and Employees.

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API.  Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

The Senior Software Engineer - Front End at Array will play a key role in shaping and elevating our front-end engineering practice. This role focuses on delivering high-quality, scalable implementations while contributing to the standards, patterns, and tooling that guide our broader engineering organization. You'll report to an Engineering Manager and work within a squad responsible for one of our product areas, driving both hands-on development and technical influence across teams.

This role will start as a contract role for a 180 probationary period before converting full time.

This role is fully remote; however, we are prioritizing candidates located in Denver, Colorado due to strong alignment with the Svelte technical talent market for this role.

You Will

• Join an engineering organization filled with sharp engineers with a track record of building products used by millions.
• Work with a squad of engineers to build high-quality Svelte Web Components that support white-label integration and can be fully customized through our theme editor, running reliably across desktop and mobile environments.
• Collaborate closely with Product Design to extend and evolve our design system, ensuring components are consistent, scalable, and adaptable across partners and branding contexts.
• Use modern tooling, including the latest AI, to think, build, and ship faster with less toil.
• Help ensure the reliability and availability of the components you build, including participating in an on-call rotation with your squad.
• Conceptualize and deliver front-end solutions with support and guidance from our Principal Engineers and Engineering Managers.
• Become an emerging expert in modern web standards, Web Component architecture, front-end performance, accessibility, design-system-driven development, and scalable component patterns.
• Spend the majority of your time building solutions rather than talking about them.

You Have

• 6+ years of professional software development experience with strong TypeScript skills, solid HTML markup practices, and deep knowledge of CSS and accessibility, with experience across modern JavaScript frameworks such as Svelte, React, or Vue.
• 4+ years of experience building embeddable UI components that partners can integrate independently without direct engineering coordination covering white labelling and accessibility.
• 2+ years of experience building production-ready Web Components, including embedding components into third-party desktop or mobile application environments and understanding the constraints that come with externally hosted integration.
• A bias towards action. You have a proven track record of delivering solutions in a fast-paced environment. 
• Meaningful experience contributing to design systems, including building reusable components, defining tokens, and managing shared state patterns across complex UI surfaces.
• Experience with modern front-end tooling, build systems, component-driven architecture, and practical state management patterns that support predictable and maintainable UI behavior.
• Experience consuming APIs backed by relational or document data sources, with a clear understanding of how frontend systems shape, model, and present that data.
• A portfolio or collection of work that demonstrates strong frontend craftsmanship, component design, and attention to detail.

Pay Transparency

$80-$100/hr for the 180 day period. 

Expected interviews

Recruiter conversation - Technical Interview - Loop: Engineering Leadership Interview, How We Work Interview.

Array Offers All Full Time Employees the following Benefits and Perks: 

• Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
• Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
• 100% 401k match up to 4% with immediate vesting 
• Generous and competitive parental leave for all parents
• $1,000 desk setup subsidy to set-up your unique remote office 
• $100/month to subsidize wifi/cell phone expenses
• Summer Fridays (half-day Fridays) typically from late May to the end of August
• AnniversArray Kits for work anniversaries
• Commuter benefits for those who choose to go into our New York City or San Francisco office spaces

Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don’t meet every single one, we encourage you to still apply. We’d love to hear from you.

We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants—if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.

Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR’s Privacy Notice and Terms of Use to understand how your personal data will be processed.

Role Description:

Our technology hinges on flawless execution of rendezvous, proximity operations and docking (RPOD) and stands at the intersection of Space Domain Awareness (SDA), robotics, and in-space upgrades. Complex algorithms are essential to unlocking this vision. This is the domain of GNC Engineers. You’ll primarily focus on the design, build, test, analysis and in orbit operation of the GNC system central to our rendezvous and proximity operations spacecraft and Space Domain Awareness (SDA) products.

If you have a background expertise in a relevant domain such as orbital mechanics, optimal control, spacecraft systems design, sensor fusion and navigation, and/or software development and you’re excited about making a big impact while leaning into collaboration—surrounded by Flagstaff’s Ponderosa pines or the Denver Rockies—we’d love to hear from you!

Key Responsibilities:

Architecture and Investigation

• Architect solutions necessary to accomplish space mission objectives around space domain awareness and RPOD with an emphasis on autonomy, from both a hardware and software perspective.
• Evaluate and select appropriate techniques to achieve mission such as machine learning methods, physics-informed solutions, stochastic methods, Kalman Filters, etc.
• Assist in proposal capture efforts with feasibility analysis and engage with private/public partners, Department of Defense, Other Government Agencies, and other commercial partnerships.

Architecture Design

• Develop architecture, lead trade studies and lead GNC team from conceptualization to flight for RPOD missions
• Design algorithms, simulations, and tools for orbit determination, state estimation, uncertainty propagation to support SDA efforts
• Analyze and source datasets for training and validation or algorithm performance.
• Build and test modeling and simulation tools for orbital/cislunar dynamics, sensor modeling, and visualization.
• Six degree of freedom modeling, simulation and validation of space craft dynamics, sensors and algorithms, including for RPOD missions.

Implementation

• Collaborate with the software and GNC teams to implement algorithm in flight software.
• Heavily support hardware-in-the-loop testing for integrated system validation.
• Design concepts of operations (CONOPS) that balance thermal, power, momentum and communications for spacecraft missions.
• Provide mission operations training and support.

Qualifications:

Required:

• Bachelor’s degree in a technical engineering discipline
• 5+ years of experience working in guidance, navigation, and control
• Software development experience in Python
• Experience developing, debugging, and deploying GNC sensors, effectors and algorithms that have been used in real world applications/projects
• Ability to work in a fast-paced, autonomously driven, and demanding start-up atmosphere
• Proven ability to lead a project from conception to completion

Desired:

• Experience with cradle-to-grave spacecraft design, testing, verification/validation and in-orbit mission operations
• Expertise in either guidance, navigation or control
• Experience with multi-body astrodynamics
• Experience with Git, Linux and Basilisk
• Software development experience in C/C++
• Capable of identifying and solving complex problems with little to no supervision or direction
• Excellent communication skills both written and verbal

Additional Requirements:

Must be willing to work extended hours and weekends as needed.

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $180,000 - $280,000 annually. 

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

YOUR MISSION

We are seeking an experienced Principal Compliance Engineer to lead the design and implementation of secure, compliant architectures within highly regulated cloud environments. This role requires deep expertise in STIG development, encryption standards, and vulnerability remediation, alongside a strong foundation in DevOps and SecOps practices, particularly within the AWS and Azure Government platform. 

The ideal candidate brings at least 10 years of experience in security engineering or technical compliance and will work cross-functionally to align cloud infrastructure and operations with frameworks such as RMF (DoD IL5 and IL6), and CMMC. This is a hands-on technical role focused on enabling and sustaining system authorization through security automation, technical control implementation, and audit readiness. 

RESPONSIBILITIES

Security & Compliance Engineering 

• Architect, implement, and maintain secure, audit-ready systems and services in AWS and Azure Government environments. 
• Develop and maintain custom STIGs (Security Technical Implementation Guides) for cloud infrastructure, SaaS applications, and IaaS/PaaS configurations and customer-deployed applications. 
• Design and enforce secure configurations using encryption standards such as FIPS 140-2/FIPS 140-3, TLS 1.2+, and data-at-rest protections for regulated data. 

DevOps & SecOps Integration 

• Embed compliance and security checks into CI/CD pipelines, ensuring that infrastructure-as-code meets regulatory and organizational policies. 
• Integrate technical controls to support monitoring, logging, and alerting consistent with RMF and CMMC requirements. 
• Partner with cybersecurity operations teams to support incident response, log review, and system hardening efforts. 

Vulnerability Management & Remediation 

• Lead the technical remediation of vulnerabilities identified through internal scans, third-party testing, or external audits. 
• Work with engineering and DevOps teams to drive secure patch management, system baseline enforcement, and automated vulnerability response workflows. 
• Maintain and operationalize vulnerability metrics dashboards aligned with continuous monitoring plans (ConMon). 

Audit Readiness & Documentation 

• Able to support and manage detailed system documentation including SSPs, network diagrams, control implementations, and POA&Ms. 
• Serve as a technical point of contact during audits and assessments, capable of demonstrating compliance posture through hands-on walkthroughs and evidence collection. 
• Collaborate with DevOps, Cybersecurity teams to translate security requirements into enforceable technical controls and testable artifacts. 

Cross-Functional Collaboration & Leadership 

• Partner with product, engineering, and compliance teams to implement secure system boundaries and customer segmentation strategies for multi-tenant environments. 
• Provide technical mentorship and occasional leadership to junior compliance engineers or project contributors. 
• Track emerging requirements and proactively update system configurations to meet evolving DoD IL5, IL6, and CMMC mandates. 

QUALIFICATIONS

• 10+ years of experience in cybersecurity engineering, cloud compliance, or DevSecOps roles. 
• Proven experience designing STIG-compliant configurations, including custom STIG development and validation. 
• Deep understanding of FIPS-validated encryption, TLS configurations, and cryptographic module implementation for data protection. 
• Hands-on experience with vulnerability scanning, remediation planning, and automated patching workflows. 
• Familiarity with DoD RMF (IL5 and IL6), CMMC and related audit frameworks. 
• Proficiency with tools such as Terraform, Ansible, Azure Policy, GitHub Actions, and common SIEM/logging platforms. 
• Experience with authorization boundary design and customer isolation techniques in AWS and Azure Gov environments. 
• Position requires an active security clearance. While all clearance levels will be considered, TS/SCI clearance holders are preferred.

PREFERRED SKILLS AND EXPERIENCE

• Experience with DoD RMF (IL5 and IL6) cloud environments. 
• Working knowledge of container security, particularly in AKS or Kubernetes-based deployments. 
• Basic people leadership experience, including mentoring or technical guidance responsibilities. 
• Industry certifications such as CISSP, CCSP, Azure Security Engineer, or relevant compliance certs (e.g., CMMC RP). 

COMPENSATION

• Colorado Base Salary: $195,000-$270,000
• California Base Salary: $205,000-$285,000
• Washington D.C. Base Salary: $205,000-$285,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near one of our office locations including Centennial, CO; Long Beach, CA; Colorado Springs, CO, or Washington D.C. 
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.
#LI-Onsite

About the Role 

You'll focus on hands-on design and implementation of security related software, to shift security left in our development processes. This includes embedding automated controls such as SBOMs and vulnerability scanning into CI/CD pipelines; maintaining and updating our internal shared libraries and infrastructure for authentication, authorization, and logging; and assisting with monitoring tools for operational services. Where needed, you'll help align systems with NIST 800-171/CMMC requirements, collaborating closely with the Principal Security Engineer, AWS infra team, dev tooling team, chief software engineer, and cybersecurity/GRC group.

You'll work in a lean, impact-focused environment—prioritizing deliverables like secure code and architecture with bureaucracy handled by the TPM/GRC org as much as possible. Occasional engagement in security discussions with government entities may be involved, under the principal security engineer's guidance.

~80-90% hands-on work, with the remainder on collaboration and learning.

Key Responsibilities:

• Implement Security Controls in SDLC: Assist in integrating security automation into pipelines (e.g., GitHub Actions/ArgoCD for SAST/DAST/SCA, SBOM generation, and vulnerability scanning).
• Support Shared Libraries and Infra: Contribute to evolving standard libraries/infra for authn/authz, logging, and other runtime security features, including testing and updates.
• Contribute to CMMC Compliance: Hands-on support for implementing controls (e.g., encryption, secure configurations, monitoring) to meet/exceed CMMC Level 2 requirements in AC, IA, SC, and SI families, building on our ISO 27001 foundation.
• Assist with Reviews and Models: Participate in security architecture reviews, code audits, and threat modeling; help identify and remediate issues like API vulnerabilities or supply chain risks.
• Team Collaboration: Engage in code reviews, pair programming sessions, and tooling development to advance secure practices; provide peer support within the security engineering team.

Required Qualifications:

• Experience: 5+ years in software or security engineering, with at least 3+ years in security-focused roles. Experience with secure cloud systems (AWS), CI/CD security, and compliance efforts (e.g., NIST, CMMC, or FedRAMP).
• Technical Expertise: Proficiency in container security (Docker/Kubernetes), security tools (e.g., Trivy, Snyk, Falco, OPA), and programming languages for tooling (Python, Rust). Understanding of modern attacks and defenses.
• Security Acumen: Knowledge of common threats (e.g., injection, lateral movement), controls (NIST 800-53 mappings), DevSecOps practices, SBOMs, zero-trust principles, and SIEM-integrated logging.
• Interpersonal Skills: Ability to collaborate constructively with internal teams and contribute to external security discussions as needed.

Preferred Skills:

• Familiarity with AWS security services (e.g., GuardDuty, Security Hub, Config) and IaC tools (Terraform).
• Experience with embedded or satellite security (e.g., secure boot, over-the-air updates).
• Contributions to open-source security projects.
• Relevant certifications (e.g., CSSLP, OSCP, GIAC) demonstrating practical expertise.
• Proven ability to work in small, agile teams and learn from senior mentors.

Bonus

• Other: Experience in regulated industries (defense/aerospace); clearance for sensitive data handling.

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-DC1

About the Role 

You'll focus on hands-on design and implementation of security related software, to shift security left in our development processes. This includes embedding automated controls such as SBOMs and vulnerability scanning into CI/CD pipelines; maintaining and updating our internal shared libraries and infrastructure for authentication, authorization, and logging; and assisting with monitoring tools for operational services. Where needed, you'll help align systems with NIST 800-171/CMMC requirements, collaborating closely with the Principal Security Engineer, AWS infra team, dev tooling team, chief software engineer, and cybersecurity/GRC group.

You'll work in a lean, impact-focused environment—prioritizing deliverables like secure code and architecture with bureaucracy handled by the TPM/GRC org as much as possible. Occasional engagement in security discussions with government entities may be involved, under the principal security engineer's guidance.

~80-90% hands-on work, with the remainder on collaboration and learning.

Key Responsibilities:

• Implement Security Controls in SDLC: Assist in integrating security automation into pipelines (e.g., GitHub Actions/ArgoCD for SAST/DAST/SCA, SBOM generation, and vulnerability scanning).
• Support Shared Libraries and Infra: Contribute to evolving standard libraries/infra for authn/authz, logging, and other runtime security features, including testing and updates.
• Contribute to CMMC Compliance: Hands-on support for implementing controls (e.g., encryption, secure configurations, monitoring) to meet/exceed CMMC Level 2 requirements in AC, IA, SC, and SI families, building on our ISO 27001 foundation.
• Assist with Reviews and Models: Participate in security architecture reviews, code audits, and threat modeling; help identify and remediate issues like API vulnerabilities or supply chain risks.
• Team Collaboration: Engage in code reviews, pair programming sessions, and tooling development to advance secure practices; provide peer support within the security engineering team.

Required Qualifications:

• Experience: 5+ years in software or security engineering, with at least 3+ years in security-focused roles. Experience with secure cloud systems (AWS), CI/CD security, and compliance efforts (e.g., NIST, CMMC, or FedRAMP).
• Technical Expertise: Proficiency in container security (Docker/Kubernetes), security tools (e.g., Trivy, Snyk, Falco, OPA), and programming languages for tooling (Python, Rust). Understanding of modern attacks and defenses.
• Security Acumen: Knowledge of common threats (e.g., injection, lateral movement), controls (NIST 800-53 mappings), DevSecOps practices, SBOMs, zero-trust principles, and SIEM-integrated logging.
• Interpersonal Skills: Ability to collaborate constructively with internal teams and contribute to external security discussions as needed.

Preferred Skills:

• Familiarity with AWS security services (e.g., GuardDuty, Security Hub, Config) and IaC tools (Terraform).
• Experience with embedded or satellite security (e.g., secure boot, over-the-air updates).
• Contributions to open-source security projects.
• Relevant certifications (e.g., CSSLP, OSCP, GIAC) demonstrating practical expertise.
• Proven ability to work in small, agile teams and learn from senior mentors.

Bonus

• Other: Experience in regulated industries (defense/aerospace); clearance for sensitive data handling.

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-DC1

Job Summary

A Rampant Technologies Cybersecurity Engineer (CSE) is a key resource that is a part of the Rampant team

reporting to the Principal Engineer overseeing the CSE team to deliver innovative Cyber Security solutions that are

in alignment with the company’s goals.

Essential Duties & Responsibilities

SME on problem identification, diagnosis, and resolution of problems

Develop best practices for processes and standards that will better the system

Perform vulnerability assessments using standardized tools (Nessus, DISA STIGs) and configuration updates as

required to comply with security requirements.

Track and fulfill liens associated with A&A activities as documented in the Plan of Actions and Milestones.

Perform hardening of ops systems, COTS and open-source product

Validate best practices in Penetration testing, Configuration analysis, and Security

Prepare comprehensive security assessment testing documentation to validate applied security controls in

support of Assessment and Authorization (A&A) testing. Generating/maintaining security accreditation artifacts

associated with RMF process to include, but not limited to Security Requirements Traceability Matrix, Security

Plans, Certification Test Plans, Continuous Monitoring Plans)2

Perform timely updates in accreditation DB

Provide technical guidance focused on information security architecture.

Key Skills, Education & Experience

Minimum of eight (3) years’ relevant experience as a Cybersecurity Engineer in programs and contracts of

similar scope, type, and complexity is required; ideally three (3+) years of direct experience in the same

level/grade for like role.

Techno functional knowledge of/experience in:

Execution of the Assessment & Authorization (A&A process) in accordance with government

requirements (e.g. ICD-503)

Information systems security and continuous monitoring practices and how to assess their

effectiveness per NIST SP 800-53 and NIST SP 800-53A.

DCID 6/3, ICD 503, CNSSI 1253, NIST SP 800-53, NIST SP 800-53A, NIST SP 800-37, and security controls

assessment criteria/procedures

Integrity, availability, authentication, and non-repudiation concepts

IT security principles and methods (e.g., firewalls, demilitarized zones, encryption)

Network access, identity, and access management (e.g., public key infrastructure [PKI])

Security system design tools, methods, and techniques

Relevant laws, policies, procedures, or governance as they relate to work that may impact critical

infrastructure.

TCP/IP networking technologies, Linux account administration, Linux folder permissions, Patch

Management best practices on Operating Systems and applications, known vulnerabilities associated

with Windows and Linux platforms.

Continuous monitoring processes as outlined in NIST SP 800-137 appropriate for systems, leveraging

existing tools, efforts, and incorporating new automation techniques.

Virtualization technologies (e.g. VMWare, Docker)

OSI model and how specific devices and protocols interoperate, including knowledge of protocols, and

services for common network traffic

DoD/IC system security control requirements

XACTA and SNOW

Security testing and penetration tools that include Assured Compliance Assessment Solution (ACAS),

Wireshark, Retina, Tripwire, etc…

Hands on experience and proficiency with the full Microsoft Office Suite and tools such as Microsoft

Project, Microsoft Visio

Self-starter/motivator and 

Certifications and Clearance

Must have certifications (certifications with * indicate willing to hire if certification is within 3-6 months of

finalizing):

Active TS/SCI w/ Poly clearance required

Current certification compliant with DoD 8570 IAM or IAT level 3OR obtain certification within 6 months of

hire and maintain certification throughout employment.

MUST meet DoD 8570 IAT Level III requirements

IAT Level II Certifications (Security+ or equivalent)