ABOUT THE TEAM

The Anduril Battlespace Awareness Radar team develops innovative and differentiated radar solutions to tackle significant security challenges for America and its allies. We are looking for highly collaborative engineers that will bring significant expertise, experience and energy to the team's endeavors.  

ABOUT THE JOB

Anduril seeking a skilled and experienced Edge Software Deployment Engineer to join our radar software team. The ideal candidate will be responsible for deploying, managing, and securing software that runs on the embedded, heterogeneous processors within our radar systems. This role requires a unique blend of embedded systems knowledge, DevOps practices, and experience with diverse hardware architectures.

WHAT YOU WILL DO

• DevOps for Embedded Systems: Adapt standard DevOps principles and tools for the unique constraints of embedded systems for Radar, which includes managing fleet-wide software updates for devices with intermittent connectivity.
• Security: Integrate security best practices and tools into the development and deployment process from the beginning (DevSecOps). This includes core security hardening (e.g., implementing STIGs), kernel hardening (e.g., using Address Space Layout Randomization, Control Flow Integrity, and securing boot processes), securing the software supply chain, managing updates, and implementing robust security controls on embedded hardware.
• Deployment and Provisioning: Lead the design and automation of the edge provisioning pipeline, from operating system setup to application deployment and monitoring.
• Continuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines using tools like CircleCI to automate the build, testing, and deployment of software to edge devices.
• Operating Systems (OS): Manage and customize embedded Linux distributions (e.g., using Yocto or NixOS) for performance, reliability, and security on ARM and GPU architectures.
• Heterogeneous Architecture Support: Deploy and manage software across our diverse hardware platform, which includes:
  • Nvidia Jetson: Deploy, optimize, and manage software on Nvidia Jetson GPUs
  • FPGAs: Interact with HDL firmware for FPGAs (Altera Agilex, Xilinx Ultrascale) and C++ applications for soft processors within FPGAs,  using development toolchains like Quartus and Vivado.
  • CPU Architectures: Deploy and manage software for ARM CPU architectures.
• System Integration: Collaborate with hardware, firmware, and software engineering teams to ensure seamless hardware-software integration.
• Troubleshooting: Provide technical support and troubleshoot software issues on fielded devices.

REQUIRED QUALIFICATIONS

• 8+ Years of experience and a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in a DevOps, SRE, or embedded systems role.
• Deep expertise in Linux internals and system-level configuration.
• Experience with declarative configuration management, preferably with Nix or NixOS, for creating reproducible build environments.
• Experience with CI/CD tools such as CircleCI.
• Proficiency in scripting languages like Python and Bash.
• Hands-on experience with hardware-in-the-loop (HITL) and system integration labs (SIL).
• Experience with containerization (Docker) and orchestration tailored for resource-constrained edge environments.
• Solid understanding of cybersecurity principles for embedded and edge devices, including core hardening techniques.
• Excellent communication and problem-solving skills.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

DESIRED SKILLS (PLUS)

• Experience with bootloaders like U-Boot and secure boot processes.
• Familiarity with FPGA development tools such as Quartus and Vivado.
• Knowledge of network protocols and security on embedded systems.
• Experience deploying embedded systems in air-gapped or intermittently connected environments

The Role: 

Forge’s platform engineering team is passionate about innovation and building scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of technologies to support our core platform, Metal, and we thrive on moving fast, delivering value, and living our values of being bold, humble and accountable.

We are seeking a passionate platform engineer with at least 7 years of experience delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, architecting great developer experiences, and making data-driven decisions.

To succeed in the Staff Platform Engineer role at Forge, you'll leverage your infrastructure and software expertise to successfully deliver high-quality platforms both individually and through technical leadership of others. You will have the ability to take on advanced infrastructure projects—ranging from multi-cluster orchestration to SOC 2 compliance automation—while also being a productive and collaborative member of the team.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in software or platform engineering with a strong focus on infrastructure and DevOps
• Deep, hands-on expertise in Kubernetes administration and the cloud-native ecosystem
• Advanced proficiency in Infrastructure as Code (IaC) using Terraform
• Extensive experience designing and operating GitOps workflows (e.g., Argo CD, Flux)
• Strong software engineering skills with the ability to read, write, and debug code across multiple application

Preferred Skills (Nice-to-Have)

• Experience with C# and Dotnet framework
• Experience with Azure and AWS Cloud infrastructure.
• Experience working in geographically distributed teams
• Fintech or Financial services industry experience.

For residents of Denver, CO the annual salary range for this role is $150,000 - $170,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

As a Key Accounts Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales, Product/Engineering, Customer Success, Professional Services, and executive leadership to articulate the overall Datadog value proposition, vision and strategy to customers
• Lead technical strategy for both short-term and long-cycle pursuits by driving the end-to-end technical sales agenda for Fortune 100 and comparable prospects — from pipeline generation through purchase decision
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Present at executive and technical forums, lead workshops, and translate technical detail to business impact for CIOs, SRE/Platform teams, security/compliance, and engineering leadership
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with one or more languages (i.e. Python, Go, Java, etc.) and familiarity with DevOps practices such as CI/CD and IaC workflows
• Demonstrated ability to land into net new logo accounts and collaborate with prospects through long, multi-quarter or multi-year cycles.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you!

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Continually learn new technology to build competitive knowledge, technical skill, and credibility
• Deliver product and technical presentations with potential clients
• Have a direct line of communication with the product team to collaborate on feature requests
• Help clients onboard the product and assist when they run into roadblocks. 
• Think creatively about a wide variety of technical challenges during the pre-sales life cycle 

Who You Are:

• Knowledgeable and experienced with DevOps monitoring or architecture tools. 
• Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams
• Able to think creatively about a wide variety of challenges. You're going to find new things every day
• Previously experienced in systems administrations: Windows or Linux
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 25% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. 

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

 What You’ll Do:

• Act as a strategic partner to customers, orchestrating cross-functional internal teams and engaging executive, technical, and business stakeholders to understand customer goals and translate them into a clear, deliverable Datadog value narrative.
• Proactively build and maintain executive relationships to deliver clear, outcome-driven value stories that connect Datadog technical use cases to measurable business results.
• Lead QBRs and strategic reviews as a forum to demonstrate impact, align on priorities, and define next-step initiatives.
• Analyze adoption and usage trends to quantify value delivered, extract insights from large datasets, identify gaps, and drive financially grounded commercial recommendations and strategic opportunities. 
• Position Datadog as a critical observability platform that enables reliability, efficiency, and informed decision-making.
• Own and project manage the on-boarding process for new customers
• Collaborate cross-functionally with AEs, SEs, TAM, Product, Support, Enablement and other technical teams to ensure consistent value delivery and messaging.

Who You Are:

• Customer-centric with 3+ years in a Customer Success or Account Management role
• Able to manage a wide portfolio of accounts rolling up to large enterprise corporate accounts
• Knowledgeable in working with Fortune 1000 companies and global brands across all industries
• A strong communicator with exceptional attention to detail and an ability to cater to a specific audience, including CTO, VP of Engineering and DevOps professionals
• Experienced in the B2B tech space or with SaaS companies
• Able to travel for customer onsite visits and events as required 
• Fluent in written and spoken English

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for guiding multiple implementations from start to finish and delivering an exceptional customer experience. 

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide the project planning and delivery for multiple implementation engagements
• Manage timelines, deliverables, and overall project health to minimize risk and ensure successful completion of engagements
• Partner with Implementation Services’ leadership to uplevel the team’s project management approach, documentation, and process
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• 7+ years Technical Project or Program Management experience including planning, scheduling, and reporting
• 5+ years of Customer facing experience in a services or success role
• Strong presentation skills and the ability to communicate effectively to business and technical audiences
• Experience with DevOps services and technologies
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
  
  

Who You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
• Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills
• Desired hands-on experience in two or more of the following areas:
• Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
• Public Cloud: AWS, Azure, GCP, or Alibaba
• Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
• Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
• Config Mgmt: Terraform, Ansible, Puppet, Chef
• CI / CD: Jenkins, Gitlab
• Bonus Points:
• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
• Previous experience using Datadog and/or other cloud monitoring tools (APM, 
• Infrastructure, Logs, Synthetics, NPM)
• Previous experience with root-cause-analysis, troubleshooting, debugging

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What you will do:

• Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. 
• Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. 
• Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions.
• Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives.
• Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements.
• Assist in the creation of technical proposals, documentation, and other sales materials.
• Work closely with the product management and engineering teams to relay customer feedback and influence product development.
• Participate in industry events, conferences, and webinars to promote Datadog's security solutions..

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage, investigation, response), endpoint security (EDR/MDR), and the deployment and tuning of security controls in live customer environments.
• Expert knowledge of the developer and DevOps ecosystems and application security best practices. 
• Strong understanding of security principles and best practices.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and related security tools and technologies.
• Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to think critically and creatively.
• Willingness to travel up to 30% to meet with customers and attend industry events.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

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

Sovrn is a supply-side platform (SSP) built to help publishers grow, protect, and understand their businesses. We operate at the intersection of programmatic advertising infrastructure and publisher monetization — processing hundreds of billions of ad requests daily across a global, high-throughput exchange.

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.

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

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. 

DevOps Engineer

The DevOps Engineer is responsible for the design, development, and lifecycle management of automation and integration solutions across Alarm.com’s cloud infrastructure and application platforms. This individual will lead the implementation and operation of continuous integration, automated deployment, and infrastructure-as-code solutions that support the delivery of Alarm.com’s life safety and home automation applications.

This role works closely with Software Engineering, Quality Engineering, Cloud Operations, Security, and Release Management teams to onboard and support applications throughout the full software development lifecycle. The position combines hands-on engineering with operational responsibility to ensure the availability, performance, scalability, and reliability of Alarm.com’s cloud platforms and applications.

Responsibilities

The Engineer's primary job responsibilities include:

• Design and develop tools and frameworks that enable continuous integration and automated infrastructure management across all layers of the cloud stack, including servers, storage, networking, operating systems, management infrastructure, applications, monitoring, and alerting.
• Implement and maintain infrastructure-as-code solutions using technologies such as Ansible, AWX, Puppet, and Terraform to support scalable and repeatable infrastructure deployments.
• Provide technical guidance to engineering teams on best practices for deploying and operating software within the Alarm.com cloud environment.
• Develop a deep understanding of the architecture and operational characteristics of the Alarm.com cloud platform and implement solutions that improve system reliability, performance, and predictability.
• Evaluate, architect, and implement infrastructure solutions and migrate on-premises workloads to hyperscaler environments including AWS and Azure.
• Troubleshoot infrastructure and application issues across development, staging, and production environments.
• Participate in on-call rotations and incident response to maintain the stability and performance of production services.
• Collaborate with Cloud Engineering, Software Engineering, and Quality Engineering teams to improve operational efficiency and system observability.
• Develop and maintain operational runbooks, monitoring standards, and alert metrics to support platform health and stability.
• Support application deployments and improvements across the full software development lifecycle.
• Enable automation and operational improvements using scripting languages and modern DevOps tooling.
• Other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred.
• Minimum 3 years of DevOps or cloud infrastructure engineering experience.
• Hands-on experience with cloud and virtualization technologies including VMware, AWS, and Azure.
• Experience with configuration management and infrastructure-as-code tools such as Ansible, AWX, Puppet, and Terraform.
• Working knowledge of Linux and Windows operating systems in enterprise environments.
• Experience with containerization and orchestration technologies including Docker, Kubernetes (K8s), Azure Kubernetes Service (AKS), and Rancher.
• Familiarity with server monitoring and application performance monitoring solutions such as PagerDuty, Grafana, OpenTelemetry, New Relic, Dynatrace, and AppDynamics.
• Experience with CI/CD pipelines and DevOps tooling including GitHub Actions, Octopus Deploy, Atlassian tools, Git, and ArgoCD.
• Familiarity with secrets and artifact management technologies including Vault and Artifactory.
• Experience with scripting or programming languages such as Bash, Python, Go, C#, and PowerShell.
• Experience supporting operational processes including multi-tiered escalation and on-call procedures.
• Ability to work both independently and collaboratively within a team environment.
• Strong problem-solving skills and a self-directed approach to investigating and resolving technical issues.
• Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Preferred Qualifications

• Experience supporting highly available SaaS environments with 99.999% uptime requirements.
• Experience operating large-scale cloud infrastructure supporting distributed applications.

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.
• Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast, and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team will provide you with the support and growth you need to strengthen and evolve your skills within the consulting field.

As an Appian Architect, you will be a key technical leader within Appian’s Customer Success team as well as a trusted technical advisor to Appian’s clients. Architects are responsible for helping design and scale Appian’s technical solutions and enabling Appian’s expert delivery teams. In this role, you will not only become an expert at designing applications on our platform, but also become business process experts in the various industries and technologies of our varied customer base. This involves integrating with and incorporating new technology trends from a variety of disciplines, as well as working with clients on all aspects of their program to drive technical success and efficiency, including security, scalability, Cloud technologies, version control, configuration management and other DevOps practices. 

The ideal candidate will combine a passion for learning new technology with excellent technical, product and business skills to make our customers and partners successful. All of these activities are performed in partnership with Appian Product Management and Engineering, Appian Partners, and other members of the Customer Success team, including Customer Success Managers (CSMs). 

To be successful in this role, you need:

• To be passionate about technology, excited by tough challenges, and be a natural problem solver.
• Experience with configuration, deployment, and testing of enterprise software applications, ideally with Agile delivery methodologies.
• The ability to design and review complex, secure and scalable solutions with enterprise software and remove technical impediments.
• Composure in client-facing situations and have had previous success presenting complex technical concepts & designs to a variety of audiences. 
• Experience working alongside enabling delivery teams to meet their engagement goals by sharing your knowledge, expertise, advice, and mentorship.
• To ideally have experience with software consulting (such as in an ERP, CRM, BPM/Workflow, Data Integration Architecture or EAI) and/or applied knowledge of enterprise architecture, including data management 
• To ideally have Commercial or Industry-experience in one or more of the following areas: Financial Services, Pharmaceuticals, Insurance, Manufacturing 

Basic qualifications:

• You have at least 5 years of hands-on technical experience in an enterprise software implementation environment.
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree.
• Willingness to travel up to 20%.

The base salary for this role is between $153,000-$207,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

ABOUT THE ROLE

Sphinx is hiring a Senior DevOps Engineer to join our team, building the next generation of mission planning and command and control software for space communications programs. This team is charged with creating modern, resilient services and capabilities to service the US Government for the next decade and beyond.

We're seeking an experienced Senior DevOps Engineer to help take our build and deployment automation to the next level. As a Senior DevOps Engineer, you will build the development and deployment infrastructure used by our Space Communications team, which provides infrastructure for a wide variety of US Government satellites; you will play a key role in building a cutting-edge communications platform for US government satellites. You will have a role in determining what we build and how we work. You'll work as an individual contributor and a lead for more junior engineers.

What you will be focusing on:

• Working with a team to develop and operate automated build and deployment infrastructure in GitLab CI/CD and Atlantis
• Developing and operating automated build and deployment infrastructure
• Writing and maintaining Cloud Infrastructure
• Owning technical problems end-to-end
• Maintain multiple Kubernetes clusters in production
• Packaging software into Helm Charts
• Writing and maintaining Cloud Infrastructure with Terraform
• Configure and maintain a federated message bus infrastructure
• Maintaining CI/CD pipelines 
• Supporting software engineering teams with the use and integration of pipelines and cloud infrastructure
• Ensuring developed infrastructure and CI/CD solutions seamlessly deploy/integrate with third-party platforms and infrastructures

You might be a good fit if you have:

• You have 5+ years of progressively responsible software engineering experience in a DevOps role
• Leveraged a major cloud provider's (AWS, Azure, GCP) services in a production setting
• A habit of self-directed learning of new technologies
• Strong experience with either Python or Go
• Strong experience with Ansible automation
• You have made enough mistakes and booked enough wins to know what not to build and what good looks like
• The ability to see through the noise to the most critical problem.
• The ability to provide technical leadership, guide, and mentor junior engineers
• Excellent communication skills, working with end-users to design and build solutions to their needs, a habit of self-directed learning of new technologies, and the ability to learn quickly and adapt to a fast-paced environment

LOCATION

This position is primarily remote, but candidates must be able to work on-site in a secure facility in Northern Colorado Springs, CO as needed to perform classified work.

COMPENSATION

This role is between $160,000 - $185,000 base salary.

BENEFITS

Compensation includes competitive salary, meaningful equity ownership, profit sharing, employer 401(k) contribution, and 100% employer covered medical, dental, and vision insurance for you and your dependents.

EEO STATEMENT

Software Engineer 

Overview 

We are seeking an experienced Linux Software Engineer to support multi-location project initiatives focused on modernizing software infrastructure. This role emphasizes migrating existing applications and developing new projects within containerized environments and cloud platforms. 

Key Responsibilities 

• Design, develop, and maintain software applications using modern development practices and frameworks 

• Create and manage containerization workflows implementing DevSecOps principles and CI/CD 
  pipelines 

• Plan and execute deployments to Kubernetes clusters, ensuring system stability, scalability, and reliability 

• Facilitate the transition of legacy applications into modern container-based architectures 

Required Qualifications 

• Programming: Strong proficiency in Python for application development and automation scripting 

• Containerization: Hands-on experience with Docker, Podman, and Kubernetes orchestration 

• DevOps Tools: Practical knowledge of Git version control, CI/CD pipeline development, and DevSecOps methodologies 

Preferred Qualifications 

• Cloud Platforms: Demonstrated experience with at least one major cloud provider (AWS, Azure, or GCP) 

• Experience with GitLab and GitLab CI/CD pipeline configuration 

• Proven ability to leverage Al-assisted development tools for code generation and optimization 

• Strong analytical and troubleshooting skills 

• Excellent technical writing skills for creating and maintaining comprehensive documentation 

• Familiarity with Agile development methodologies and project management practices 

Linux System Administrator 

Overview 

We are seeking an experienced Linux System Administrator with deep Red Hat expertise to join our infrastructure team. This role combines hands-on technical leadership with systems automation and data center operations, ideal for someone who wants to drive infrastructure excellence while mentoring team members. 

Key Responsibilities 

• Design, implement, and maintain enterprise Linux environments with primary focus on 
  Red Hat Enterprise Linux (RHEL) 

• Develop and maintain infrastructure automation using Puppet, Ansible, or similar configuration management tools 

• Manage physical and virtual server infrastructure across data center environments 

• Lead infrastructure projects from planning through implementation 

• Mentor junior administrators and provide technical guidance to team members 

• Perform hardware installations, upgrades, and troubleshooting in data center facilities 

• Implement security best practices, patch management, and compliance requirements 

• Monitor system performance, capacity planning, and optimization 

• Collaborate with cross-functional teams on infrastructure initiatives 

Required Qualifications 

• 8+ years of Linux system administration experience with strong Red Hat focus 

• Proven experience with automation tools (Puppet, Ansible, Chef, or SaltStack) 

• Hands-on data center experience including hardware installation and troubleshooting 

• 2+ years in a leadership or mentoring capacity (team lead, senior admin, or management) 

• Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer 
  (RHCE) preferred 

• Strong scripting skills (Bash, Python, or similar) 

• Experience with virtualization platforms (VMware, KVM, or similar) 

• Understanding of networking fundamentals, storage systems, and backup solutions 

• Excellent problem-solving and communication skills 

Preferred Qualifications 

• Experience with containerization (Docker, Podman, Kubernetes) 

• Knowledge of CI/CD pipelines and DevOps practices 

• Familiarity with monitoring tools (Nagios, Zabbix, Prometheus, etc.) 

• Experience with cloud platforms (AWS, Azure, GCP) 

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it. 

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. 

You will be one of the engineers who makes that real. 

What You Will Work On  

Autonomous Operations: 

• Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations
• Drive elimination of manual processes. If a human is doing it repeatedly, automate it.
• Build space situational awareness systems so the fleet always knows its own state
• Develop operational automation for mission execution at scale

Telemetry and Data Platform: 

• Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets
• Build analytics and visualization tools that surface operational insight and not just raw data
• Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance
• Work directly with data at every layer from pipeline design to query

Reliability Engineering: 

• Define and instrument SLOs and reliability metrics for space and ground assets
• Build monitoring and alerting systems that know what matters and ruthlessly suppress noise
• Own configuration control and software rollout processes for on-orbit and ground assets

Mission Software: 

• Build real-time dashboards and operator tooling that make mission status immediately legible
• Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions
• Design systems for automated mission execution including planning, scheduling, and commanding at scale

Basic Qualifications

• 5+ years of professional software engineering, SRE, or DevOps experience
• Strong Python skills across backend services, data pipelines, and automation. Not just scripts.
• Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query
• Solid Linux fundamentals including bash scripting and basic system administration
• Experience with containerized development and production environments
• The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software

Preferred Qualifications

• Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
• Hands-on experience with Databricks or modern data Lakehouse tooling
• Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
• Infrastructure as Code experience with tools such as Terraform or Ansible
• ML or AI applications in an operational or monitoring context
• Experience with Python data visualization libraries

Spire operates a hybrid work model, and this position will require you to work a minimum of three business 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-MK1

Platform Infrastructure Engineer, #990

Clearance: U.S. Citizenship is required.  DHS Secret Clearance required. Candidates with dual citizenship cannot be considered per government requirements. 

Dev Technology is seeking a Senior Platform Security Engineer to manage, secure, and optimize mission-critical platforms for a federal client. This role combines deep technical expertise in system performance, cybersecurity, automation, and DevOps methodologies to ensure resilient and compliant infrastructure supporting national security objectives.

What You'll Be Doing:

• Monitor and Optimize: Continuously monitor system performance and implement corrective actions across current platforms.
• Application Integration: Manage and maintain integrations leveraging networking concepts such as TCP/IP, routing, and firewalls.
• Cybersecurity Oversight: Conduct regular vulnerability assessments and penetration testing to identify and remediate risks.
• Incident Response: Develop and maintain security incident response plans and procedures.
• Automation: Create and implement automation scripts and tools to streamline deployments, provisioning, and management tasks.
• Platform Management: Deploy and manage machines using VMware, vCenter, Kickstart, Puppet, Foreman, and CIS-CAT.
• Host Security: Configure and manage host-based security systems.
• DevOps & IaC: Apply DevOps methodologies and support Infrastructure as Code (IaC) within RHEL container environments.
• Monitoring & Logging: Utilize tools such as Prometheus, Grafana, ELK, IBM NetCool, and SolarWinds for system health and performance.
• Patch Management: Patch and maintain systems using Red Hat Satellite Server.
• Hardware Support: Provide hands-on support for servers and workstations.
• Cloud Knowledge (Bonus): Familiarity with AWS and Azure for managing and securing cloud environments is a plus.
• Other Duties: Perform additional tasks as assigned to support mission-critical operations.

Required Education, Experience, and Skills:

• Active Secret clearance required.
• U.S. Citizenship required (dual citizens not eligible due to federal contract requirements).
• Experience with federal government contracts, with a preference for contracts under Homeland Security.
• Minimum 12 years in a related technical field.
• At least 4 years of hands-on experience with OpenShift.
• Expertise in VMware, vCenter, Kickstart, Puppet, Foreman, CIS-CAT.
• Strong knowledge of networking concepts (TCP/IP, routing, firewalls).
• Experience with monitoring tools (Prometheus, Grafana, ELK, IBM NetCool, SolarWinds).
• Proficiency in Red Hat Satellite Server for patch management.
• Familiarity with DevOps practices and IaC within RHEL containers.
• Candidates must reside within a commutable distance for daily onsite work and meet recall/on-call requirements in a 24x7x365 environment.

Preferred Education, Experience, and Skills:    

• Team player and fast learner with the ability to work proactively and independently.
• Strong problem-solving skills to support geographically diverse mission-critical operations.

Our estimated salary range for this position is $116,000-$124,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on education, experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range. 

What You’ll Do

Product Roadmap & Strategic Planning

1. Define and maintain the product roadmap for multiple SDA products
2. Own the product backlog, ensuring features are properly prioritized, defined, and ready for engineering teams to execute against
3. Provide visibility of execution and progress to executives
4. Translate external stakeholder needs and acquisition opportunities into clear requirements and user stories for engineering to implement
5. Balance competing priorities, external deadlines, and mission requirements to deliver maximum value

Technical Demonstrations & External Communication

1. Own and deliver external-facing product demos to government stakeholders, potential customers, and partners with sufficient technical depth to field difficult questions.
2. Prepare and present technical briefings to senior military and government officials, translating complex SDA capabilities into mission value.
3. Serve as the technical point of contact for all external communications, ensuring messaging is accurate, compelling and aligned with stakeholder needs.
4. Coordinate with engineering and individually contribute to ensure demos showcase the right capabilities to address stakeholder priorities

Internal Product Execution & Cross-Functional Leadership

1. Lead Bi-weekly sprint demos to ensure development progress is visible and aligned with strategic goals.
2. Own all communication with executives regarding product development, ensuring alignment between engineering and company strategy.
3. Lead biannual product strategy workshops to align teams on roadmap priorities, strategic direction, and tactical execution.
4. Manage external subcontractor relationships, tracking milestones and ensuring deliverables are met on time and to specification.

External Stakeholder Management & Business Development

1. Own and manage relationships with government stakeholders, partners, and potential acquisition targets, serving as the primary external face of the product.
2. Respond quickly to emerging opportunities, adapting roadmap and priorities as new acquisition paths develop.

What We’re Looking For

1. Fluency in the SDA Problem Space – You have a deep understanding of SDA concepts or are willing to learn quickly and independently.
2. Technical Credibility and Presentation Skills – You can deliver compelling technical demos and briefings to senior government officials, military leaders, and technical stakeholders. 
3. Comfort with Ambiguity — You thrive in an environment where requirements evolve, priorities shift, and you don't have complete information. 
4. Strategic Thinking – You know how to prioritize to maximize impact with constrained resources and can clearly articulate the “why” behind product decisions.
5. Willingness to Travel – 25% travel to maintain stakeholder relationships and regularly solicit product feedback.

Your Ideal Background

1. Bachelor’s degree in Computer Science, Engineering, Physics or a related technical field.
2. 3-5 years of product management experience, ideally combining product management with business development or sales engineering in a defense/aerospace or technical B2B SaaS environment.
3. Domain expertise in aerospace, defense, or Space Domain Awareness is highly preferred. Alternatively, demonstrated ability to quickly learn complex technical domains.
4. Experience working with government or DoD customers is preferred, including understanding of acquisition processes and operational needs.
5. Startup or fast-paced environment experience where the ability to move quickly, wear multiple hats, and navigate ambiguity independently is essential.
6. Experience with Agile/Scrum methodologies and product management tools (Linear, Jira, Azure DevOps, or similar)
7. Strong written and verbal communication skills with experience presenting to technical and executive audiences.

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 $120,000 - $170,000 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

The Role:

The Datacor Engineering Software Group (DESG) is seeking a highly skilled and self-motivated senior-level Software Engineer with a strong computer science foundation and deep experience in the .NET ecosystem, WPF, and MVVM.

You will play an instrumental part in implementing our next-generation architectural platform and UI across the Flow Team’s industry-leading products Fathom, Arrow, Impulse, and xStream, ensuring clean separation of concerns and driving modernization across our tech stack.

You will also contribute broadly across the codebase: developing new features, improving system design, diagnosing complex defects, and strengthening long-term architectural health. You will work autonomously when needed while also collaborating closely with engineers in both software and mechanical engineering domains.

Responsibilities:

Architecture & Modernization

• Contribute to the design and implementation of an MVVM-based architecture that improves modularity, separation of concerns, and testability.
• Design and develop modern WPF interfaces aligned with updated UX principles.
• Influence architectural decisions supporting the next generation of pipe flow simulation applications.
• Evaluate design options, identify tradeoffs, and ensure long-term maintainability and performance.
• Promote consistency in design patterns and engineering standards across the codebase.

Execution & Delivery

• Implement core product features end-to-end across UI, application logic, and relevant platform subsystems.
• Translate business and product requirements into clear technical specifications.
• Contribute to modernization initiatives including refactoring, optimization, and incremental clean-architecture adoption.
• Contribute to the evolution and upkeep of internal CI/CD systems and development automation.

Quality & Support

• Collaborate with QA on test strategy and help resolve escalated product issues.
• Diagnose complex bugs and performance issues across UI and backend boundaries.
• Improve code quality through reviews, documentation, and engineering best practices.
• Serve as an escalation point for Support on advanced technical issues.

Collaboration & Knowledge Sharing

• Work closely with developers, QA, Product Management, and domain experts in a highly collaborative agile environment.
• Document designs and share knowledge across the team.
• Mentor peers and help maintain a healthy engineering culture.

Qualifications:

Required

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 5+ years of experience in desktop software development.
• Strong proficiency in modern C# and the .NET ecosystem.
• Extensive experience with WPF, XAML, and MVVM in production applications.
• Experience developing Windows applications using Visual Studio.
• Experience working in large, legacy codebases with established architectural patterns.
• Strong debugging and problem-solving skills for complex, multi-module systems.
• Effective communication with PM, QA, Support, and engineering peers.
• Ability to operate autonomously and deliver high-quality solutions from high-level requirements.

Preferred

• Experience implementing clean architecture or similar modular designs within legacy modernization efforts.
• Experience with WinForms.
• Experience with VB.NET.
• Experience with JSON data serialization.
• Background building engineering, scientific, or simulation software.
• Familiarity with performance optimization techniques in UI or computational workflows.
• Experience collaborating with UX designers or applying modern UI/UX practices.
• Exposure to CI/CD systems, build automation, and modern DevOps workflows.
• Experience mentoring engineers or contributing to architectural decision-making.
• Understanding of Windows system administration and desktop deployment considerations.

Hybrid Preferred (Colorado Springs, CO office) but remote candidates may be considered

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Staff Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a seasoned consultant who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-7 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $160,000 - $200,000.