***Active TS clearance required; must be eligible for CI Polygraph. Applicants without an active TS clearance will not be considered.. ***

North Point Technology is looking for a TS Cleared Software Engineer to support a critical mission.  The program delivers cutting-edge intelligence and geospatial data management applications and services to the National Geospatial-Intelligence Agency (NGA).   The Program’s focus is on meeting the current mission needs of our customer, but also pioneering future automation solutions for the NGA based on agency directives. We are developing innovative solutions for geospatial analysis and production capabilities that will revolutionize the way intelligence is distributed to stakeholders.  

In this role, you will be part of a software development Scrum team assisting with software requirements verification, software development and operational support. The successful candidate will have experience and/or knowledge of SCRUM processes and System Requirements verification (such as Jira, Confluence

Required Qualifications:

• Frontend web development using modern techniques and frameworks (e.g., HTML5, CSS3, CSS frameworks like LESS and SASS, Responsive Design, Bourbon, Twitter Bootstrap)
• JavaScript development using modern standards, including strict mode compliance, modularization techniques and tools, and frameworks and libraries (e.g., jQuery, MV* frameworks such as Backbone.js and Ember.js, D3)
• Consuming RESTful APIs
• Using and working in team environments that use agile methodologies (e.g., Scrum, Lean)
• Use of version control systems, specifically Git and GitHub
• Ensuring Section 508 Compliance
• Quickly researching and learning new programming tools and techniques
• Using and working with open-source solutions and community
• Creating web layouts from static images
• Creating views and templates in full-stack frameworks like Rails, Express, or Django

Preferred Qualifications:

• Kubernetes
• Docker
• Continuous Integration and Deployment Tools: Git, Jenkins, Puppet, Docker
• Agile SW development methodologies

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

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

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

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

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

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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. We're building the next generation of tracking intelligence capabilities—automated analysis systems that understand tracking performance, identify failure modes, and continuously improve our algorithms through data-driven insights.

This role sits at the intersection of ML engineering and tracking domain expertise. You'll build end-to-end pipelines that ingest tracking algorithm telemetry, analyze correlation failures and performance anomalies, train models to automate root cause analysis, and deploy production tools that help engineers ask questions like "why didn't track X and track Y associate?" We don't just track targets; we track our tracking systems and make them smarter.

WHAT YOU'LL DO

• Own tracking intelligence infrastructure end-to-end: Build the platform for ingesting tracking algorithm telemetry (hypotheses, scores, gains, association decisions), feature engineering performance metrics, training analysis models, and deploying them into production
• Automate tracking analysis: Develop ML models that identify correlation failures, track quality degradation, and root causes for tracking anomalies—replacing manual deep-dive investigations with scalable automated insights
• Build autotuning capabilities: Create systems that recognize incoming data characteristics and automatically adjust tracking algorithm parameters, frame rates, and model configurations for optimal performance
• Design human-in-the-loop tools: Build interfaces and query services that let engineers ask natural questions about tracking behavior and get data-driven answers backed by your models
• Exploit tracking telemetry: Instrument C++ tracking algorithms with appropriate logging (working with platform engineers), then marshal that data into consistent formats for analysis and model training
• Deploy in constrained environments: Package and deploy models for air-gapped systems with no external connectivity, following security scanning requirements where ML models are treated as data artifacts
• Manage the ML lifecycle: Handle data catalogs, ground truth labeling, model registries, versioning, and validation—ensuring models improve tracking performance in measurable ways
• Bridge domains: Translate between tracking algorithm fundamentals (Kalman filters, data association, multi-hypothesis tracking) and ML/data science techniques to build solutions that actually work
• Drive make/build decisions: Evaluate when to build custom models vs. leverage existing ML capabilities, selecting appropriate algorithm architectures for tracking intelligence problems
• Work hands-on-keyboard: This is a one-person show initially—you'll architect, code, deploy, and iterate rapidly using modern Python-based ML tooling

REQUIRED QUALIFICATIONS

• 3+ years of experience with a strong mix of ML engineering and data science—you've built models AND deployed them into production systems
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with MLOps practices: data pipelines, feature engineering, model versioning, experiment tracking, and deployment workflows
• Familiarity with ML infrastructure tooling (MLflow, Dagster/Airflow, or similar orchestration tools)
• Understanding of tracking, estimation, or filtering algorithms (Kalman filters, data association techniques)—you need to understand what tracking algorithms output and why they make the decisions they do
• Ability to work with streaming time-series data and engineer features from algorithm telemetry
• Experience building data catalogs, managing ground truth labels, and validating model performance
• Strong software engineering fundamentals—you can build maintainable, production-quality code independently
• Comfortable working in C++ environments enough to add instrumentation/logging (no deep algorithm development required)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience deploying ML models in edge, embedded, or air-gapped environments with security constraints
• Background in defense, aerospace, or sensor systems
• Familiarity with containerization (Docker, Kubernetes) for model serving and deployment
• Experience with anomaly detection, root cause analysis, or automated diagnostics systems
• Knowledge of AutoML, hyperparameter tuning, or online learning techniques
• Understanding of radar systems, sensor fusion, or signal processing
• Experience building conversational or query interfaces for technical systems
• Familiarity with model registries and model-as-data artifact management
• Experience with distributed data processing (Spark, Dask) for large-scale telemetry analysis
• Formal coursework or training in MLOps, data science, or estimation theory
• Active U.S. Top Secret SCI clearance

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a DevOps Engineer supporting operations on site at Fort Carson, Colorado, you are the tactical edge of our engineering team. You aren’t just maintaining a platform; you play a key role in the technical success of a project. You will interface directly with customers to understand their unique constraints—such as restricted networks, hardware limitations, or urgent operational requirements—and tailor our automation and deployment strategies to move the needle for them.

You will be responsible for maintaining the end-to-end life cycle of our AI platform across a diverse architectural landscape—including remotely accessible cloud environments and on-premises hardware. You’ll thrive in this role if you enjoy the challenge of debugging complex Kubernetes clusters where connectivity is a luxury, not a given. You are someone who can navigate the unique constraints of local hardware today and write the automation that ensures seamless, reliable performance across the customer’s hybrid stack tomorrow.

This position offers a hybrid/on-site work environment at our customer sites in Fort Carson, Colorado.

Your day-to-day will include:

• Customer-centric engineering: Partnering directly with users and stakeholders to translate mission requirements into technical solutions, ensuring that Striveworks’ AI capabilities are fully integrated into their existing workflows.
• Tactical deployment and automation: Building and maintaining infrastructure-as-code (IaC) to deploy custom Kubernetes clusters across diverse environments, (e.g., AWS, Azure, GCP, and on-prem).
• Integration and troubleshooting: Acting as the primary technical point of contact for troubleshooting complex integrations, you’ll be deep in the logs, debugging containerized microservices and network and application configurations to unblock the customer.
• Product evolution: Feeding field insights back to our core product teams. You are the eyes and ears of the engineering org, identifying friction points in the installation process and automating them away.
• Mission execution: Leading software deployments on unclassified, CUI, and classified networks, ensuring that our AI remains reliable, adaptable, and ready to scale in dynamic environments.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we are looking for:

• 3–5+ years of hands-on experience in software, DevOps, site reliability, or systems engineering
• Customer-centric technical leadership that combines deep technical expertise with executive presence to lead cross-functional requirement gathering, manage professional incident response across diverse environments, and champion organizational interests to external stakeholders  
• Production Kubernetes: Expertise in deploying and diagnosing microservices within K8s (using Helm and kubectl)
• Observability and monitoring: Experience with comprehensive observability solutions (metrics, logs, and traces) using tools such as Prometheus, Grafana, and OpenTelemetry to ensure system reliability and performance visibility
• Application assurance: Ability to design and execute testing strategies to validate application functionality, diagnose issues, and perform root cause analysis—implementing effective long-term fixes to improve stability and performance
• Infrastructure-as-code: Deep proficiency in Terraform, Ansible, or similar tools to manage virtual machines (VMs) and containerized services
• Programming proficiency: Strong scripting and coding skills in Bash and/or Python for building custom automation and tooling
• Linux mastery: Ability to manage and rapidly troubleshoot Linux systems (RHEL, Ubuntu, Alpine)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We are very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with DOD networking, tools, infrastructure, security requirements, and policies 
• Proficiency with US federal information system security policies, including Security Technical Implementation Guides (STIGs), NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503
• Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD
• Experience with DevSecOps/DevOps and Continuous Integration and Continuous Delivery (CI/CD) for the administration and deployment of GPU-enabled servers
• Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects
• Experience with network-attached storage (NAS) and storage area network (SAN) technologies
• Experience with Kubernetes and cloud-native applications and services in denied, disrupted, intermittent, and limited (DDIL) impact environments 

The anticipated base pay range for this position is $140,000 to $165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

This is a hybrid role where office attendance in Denver is expected 2 days per week (Tuesday and Thursday). A $100 monthly transportation/parking stipend is provided.

About the Opportunity

Contentful is looking for a Software Engineer to join our Ecosystem product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent ecosystem tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Ecosystem areas, such as Extensibility and Developer Experience, when priorities call for it.

This role is ideal for an engineer who is strong in front-end product work but not limited to it: someone who is comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

 What to expect?

• Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
• Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
• Contribute across adjacent Ecosystem problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
• Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and ecosystem surfaces.
• Partner closely with product, design, and engineers across Ecosystem to shape solutions that solve meaningful customer and business problems.
• Help generalize, polish, and productionize internally-built apps and ecosystem contributions so they can be supported long term by Marketplace Engineering.
• Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
• Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
• Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What you need to be successful

• Roughly 4-7 years of relevant software engineering experience
• Solid professional software engineering experience building and maintaining production systems.
• Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
• Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
• Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
• Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
• Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
• Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
• A product mindset and real empathy for developers, partners, and customers.
• Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.

Nice to Have

• Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
• Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
• Experience maintaining or contributing to public or shared developer tooling.
• Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

What’s in it for you?

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

This position is not eligible for visa sponsorship. Applicants must be authorized to work without visa sponsorship by the start date of employment.

Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant’s skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

Salary Range: 136,000 - 184,000 [This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

This posting is open for 4 weeks from the date of posting.

Position Summary: 

We are seeking a DevOps Engineer to join our growing DevOps team! This role is ideal for someone who thrives in cloud-native environments and enjoys building secure, scalable infrastructure while improving developer experience. You’ll work hands-on across our Azure and Kubernetes platforms, helping to automate processes, improve CI/CD pipelines, and enhance system visibility. 

You’ll also play a key role in helping the team move toward a more automated, self-service platform model, reducing manual support and enabling engineering teams to move faster and more efficiently. 

Salary Range: $115,000 - $140,000/year, based on experience + bonus potential  
Location - Greenwood Village, CO. 4 days in the office and 1 day remote.

How You Will Make an Impact: 

• Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD, with a focus on consistency and reliability  

• Support and manage Azure infrastructure and AKS (Kubernetes) environments  

• Deploy and manage services using Helm and Kustomize  

• Contribute to Infrastructure as Code (Terraform/OpenTofu) to support scalable and repeatable environments  

• Partner with the DevOps team to improve pipeline standardization, security, and compliance practices  

• Support development of a developer self-service platform, including tooling, templates, and golden paths  

• Help advance observability initiatives, including logging, metrics, and tracing (Grafana, Tempo, Loki, Datadog)metrics, and tracing  

• Troubleshoot infrastructure and application issues, support incident response, and participate in on-call rotation  

• Work closely with engineering teams to improve developer experience (DX) and reduce friction in deployment workflows  

• Contribute to automation efforts that reduce manual support and improve system reliability  

• Leverage AI-assisted tools to enhance productivity, accelerate troubleshooting, and support development workflows 

What You Will Bring to EverDriven: 

Required Qualifications 

• 2–4+ years of experience in DevOps, Cloud Engineering, or related roles  

• Hands-on experience with Azure, AKS, and Kubernetes fundamentals  

• Experience with GitHub Actions, ArgoCD, or similar CI/CD tools  

• Proficiency in Terraform/OpenTofu or other Infrastructure as Code tools  

• Familiarity with containerization (Docker) and deployment workflows  

• Basic scripting skills (e.g., Bash, Python)  

• Understanding of GitOps principles and modern deployment practices  

• Exposure to observability tools (e.g., Grafana, Prometheus, Datadog)  

• Strong problem-solving skills and ability to troubleshoot across systems  

• Ability to collaborate with cross-functional teams and communicate effectively  

Preferred Qualifications 

• Experience contributing to developer platforms or self-service tooling  

• Exposure to observability and monitoring strategy (logging, tracing, alerting)  

• Familiarity with Azure Service Fabric or legacy infrastructure environments  

• Experience with service mesh (Istio), ingress controllers (Traefik), or policy tools (Kyverno) 
• Exposure to multi-cloud environments (e.g., GCP) 
• Experience using AI tools (e.g., GitHub Copilot, LLMs) to support engineering workflows 

• Medical, Dental, Vision insurance
• Virtual Doctor Visits with $0 Co-Pay
• Life Insurance (company paid)
• Short Term Disability Insurance (company paid)
• Long-Term Disability Insurance (company paid)
• Flexible Time Off (FTO)
• Paid Holidays
• Paid Time to Volunteer
• Flex Spending Account (FSA)
• 401K Plan (with an awesome employer match!)
• Employee Assistance Program
• Employee Discounts Program

#LI-Hybrid 

Two Six Technologies, is building our team and looking for an experienced Automation Tester to support a new opportunity. This role will be primarily responsible for developing and maintaining automated end-to-end, integration and performance tests. 

Responsibilities Include:

• Performs software product testing and investigates possible causes of problems
• Performs manual testing as stop-gap for automated testing
• Develops functional, end-to-end, regression, and performance tests in automated test environments
• Detects and writes software bug reports and feature requests
• Understands, reproduces, troubleshoots product defects and works with developers to determine the best resolution
• Assists in the planning and implementation of testing new features

What you will need:

• 2-5 years of professional software testing experience
• Strong proficiency in automated testing frameworks and methodologies
• Proven experience designing and implementing integration test suites
• Experience with REST API testing and validation
• Proficiency with Cypress or similar end-to-end testing frameworks
• Experience with CI/CD pipeline integration for automated tests
• Knowledge of test design patterns and best practices
• Experience with Git version control and collaborative workflows
• Understanding of software development lifecycle and agile methodologies
• Strong analytical and debugging skills
• Excellent written communication for test documentation and defect reporting
• Experience working collaboratively with development teams

Nice to haves:

• Strong programming skills in JavaScript/TypeScript
• Experience testing microservice architectures
• Familiarity with additional testing frameworks (Playwright, Selenium, Jest, Mocha)
• Experience with API testing tools (Postman, REST, Assured, Supertest)
• Knowledge of performance and load testing tools (k6, JMeter, Gatling)
• Experience with contract testing (Pact, or similar)
• Familiarity with testing in containerized environments (Docker, Kubernetes)
• Experience with test data management and mocking strategies
• Knowledge of accessibility testing (WCAG compliance, axe-core)
• Experience with visual regression tools
• Familiarity with backend technologies (go, Node.js, Python)
• Understanding of security testing principles
• Experience with test reporting and metrics dashboards
• Knowledge of behavior-driven development (BDD) frameworks (Cucumber, SpecFlow)
• Experience mentoring junior test engineers
• Familiarity with cloud test platforms (AWS/C2S) 

Security Clearance:

• Active TS/SCI required. Active TS/SCI w. Polygraph preferred. 

#LI-JS

Overview of Opportunity 

Two Six Technologies is currently seeking Software Developers with experience in web and desktop software and are especially interested in knowledge of cloud development in support of a large, high-visibility enterprise classification application. 

Responsibilities Include:
As a member of our team you will join a dedicated group of engineers who provide troubleshooting and operations support, with a focus on security, containerization, and automation. You will dive deep into technical issues and work diligently to improve the customer experience, including delivery of highly secure cloud-based offerings through applications, services, and consulting. You will create new environments/services/offerings which will involve coordination with outside groups, architecture, security design and creation, including identifying when implementations are not highly available or have defects.

What you will need:

• 2-5 years of professional software development experience
• Strong proficiency with Go programming language and best practices (or other modern programming languages)
• Strong knowledge of Git version control (branching, merging, pull requests)
• Strong knowledge of Git workflows and branching strategies
• Experience with RESTful API design and implementation
• Solid understanding of distributed systems patterns and challenges
• Experience with containerization and Docker
• Strong testing practices including unit, integration, and end-to-end testing
• Experience mentoring junior developers and conducting code reviews
• Excellent collaboration and communication skills

Nice to haves:

• Experience with Angular for frontend development
• Production experience with Kubernetes deployments and management
• Experience with Helm for Kubernetes package management
• Familiarity with WebAssembly and wasmCloud or similar platforms
• Experience configuring and managing Traefik or other API gateways/ingress controllers
• Knowledge of observability tools (logging, metrics, tracing)
• Experience with event-driven architecture and message queues
• Familiarity with cloud platforms (AWS/C2S)
• Understanding of security best practices in microservices

Security Clearance:

• Active TS/SCI required. TS/SCI w. Poly preferred

#LI-JS

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds.

ABOUT THE JOB

We are seeking a DevSecOps Engineer to build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows. You'll design CI/CD pipelines, architect core tooling, implement Infrastructure-as-Code, and establish continuous compliance workflows that enable our engineering teams to deploy updates rapidly while meeting stringent DoD and IC security requirements.
 

WHAT YOU WILL DO

• Design and implement secure CI/CD pipelines for classified environments, enabling automated build, test, and deployment of radar tracking software across multiple enclaves
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Implement secrets management, certificate rotation, and access control systems that balance security with developer productivity
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Collaborate with software engineers to optimize build processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Support ATO preparation and continuous monitoring by generating compliance artifacts, evidence packages, and security documentation
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements 
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions

REQUIRED QUALIFICATIONS

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Proficiency with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

DESIRED QUALIFICATIONS

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Familiarity with real-time or embedded systems and their unique deployment constraints
• Active U.S. Top Secret SCI clearance
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

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

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.

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

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

We are seeking a highly motivated and experienced Unified Communications Software Integration Engineer to integrate and deploy the world's first Cloud-Based Emergency Real-Time Communication Platform. 

You will be responsible for the interoperability and assimilation of highly available, Elastic, Robust, Multi-Tenant, and Self-Healing RTC and VoIP Signaling Services. The platform will have to comply with the most stringent Security, Authentication and Authorization Standards in order to ensure high SLA and guarantee 5 nines uptime. You will work closely with Carbyne's Operations team and act as the technical liaison between Engineering and the Business for all UC-related activities.

You will get an opportunity to work on cutting-edge technologies and to build a lifesaving emergency platform.

What You’ll Do

• Working as part of a real-time communication team in the Carbyne operation group to deliver a highly available 911 Infrastructure
• Configuring and troubleshooting Carbyne’s Novel Emergency Communication Platform
• Provide clients with customized communication solutions for Carbyne’s unified communications services
• Install, maintain, integrate, and contribute to PBX projects and UC solutions
• Create and maintain technical specs and solution documents
• Overall responsibility for onboarding new customers in alignment with customer requirements, and solution specifications using Carbyne’s best practices
• Providing technical support and training for the Operations team on 911 emergency communications systems
• Gaining a strong understanding of unified communications architecture, networking, and cloud computing
• Interact with a variety of internal stakeholders: Carbyne’s Operations, R&D, Sales, CTO Office, and Product Managers

What You Bring

• Proven experience with VoIP architecture. Hands-on installation experience deploying open-source UC (such as Kamailio, FreeSWITCH, Asterisk, etc.)
• Extensive knowledge and understanding of VoIP deployments and protocols like SIP, SDP, RTP, Web RTC, and their troubleshooting. Understanding of video\audio codecs, packetization, encryption, and transport
• 3+ years of experience in solutions deployment of open-source VoIP solutions
• 3+ years of experience in networking. Proven knowledge and experience in networking, full knowledge of the OSI model and deep understanding of 1-7 Network Layers
• Good understanding of Linux environments, including bash scripting
• Hands-on experience deployment on Private and Public network/security clouds (AWS)

Nice-to-Haves:

• Industry certifications like CCIE, CCNP, CCNA Voice
• Knowledge of Docker and Kubernetes
• Knowledge of AWS infrastructure

Work Location

This is a hybrid role, with an expectation of four days per week in office.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Pay Transparency (to be updated)

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base annual pay for this role is between $141,000.00 - $188,000.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

Fivetran is looking for a Senior Staff Software Engineer enthusiastic to join our fast-growing company. Database Team with a focus on SQL Server, Oracle binary log reading and change data capture, you will be responsible to help build new features of our data pipeline service, help improve our software architecture, and maintain reliable operation of the service. We're looking for someone who wants to learn and apply the key values that make our product great, dive deep into complex investigations into database transaction logs, binary log parsing, data replication and build a world class ELT solution for SQL Server or Oracle systems.

Fivetran is the epitome of data-driven-development — our engineering team is focused on building a world class product that:

• Facilitates Data Analytics — join our mission to reliably deliver best-in class schemas, and clean data, designed to be intuitively useful to analysts.

• Contributes to our Community — help develop tools like Data Lakes, SQL-based Transformations, and schema explorers to empower analysts to choose the best tools, and to make those tools more powerful.

• Is Absolutely Dependable — work to make Fivetran the most reliable and secure component of our customers’ data infrastructure.

We emphasize using no-nonsense code, and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, C, Postgres, and Kubernetes, and our front-end is built on React and Typescript.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java, SQL Server, Oracle, SQL, Kubernetes

What You’ll Do

• SQL Server and/or Oracle Binary Log Reading: Develop and implement strategies for reading SQL Server or Oracle binary logs to enhance data replication accuracy and efficiency.
• Reverse Engineering Database Binary Logs: Utilize reverse engineering techniques to understand and improve upon the database binary log structure for better data integrity and replication performance.
• Dive Deep into Data Replication: Debugging and analyzing existing code that is in use by hundreds of customers today, including those operating the largest SQL Server clusters.
• Analyze New Features: Analyze new features introduced by SQL Server and/or Oracle in recent releases and determine how to develop supporting features.
• Contribute to Maintenance and Improvement: Participate in the maintenance and improvement of existing connectors; call for improvement in all areas of Fivetran's codebase and infrastructure.
• Cloud and Scale: Be a part of the process to move a high-performance client-side service to the cloud and operate at scale.
• Software Designs and Technical Roadmap: Develop software designs and a technical roadmap for the team. Also collaborate with Database Group leadership in helping craft the rolling 12 month technical roadmap for the organization.
• Assist Customer Success and GTM Teams: Work closely with the Customer Success and Go-To-Market (GTM) teams to assist in challenging customer situations. Provide technical expertise and solutions to ensure customer satisfaction and support Fivetran's growth objectives.

Skills We’re Looking For

• 10+ years programming in Java, C or C++ languages, with a strong background in SQL Server.
• Experience with SQL Server and/or Oracle binary log reading and the ability to reverse engineer database binary logs.
• Writes well-structured and performant code
• Be able to solve critical problems for our largest customers to minimize impact. 
• Be able to dive into code that has been previously written and suggest improvements.
• Understand and can explain how to build high performance systems and processes.
• Able to define project requirements and be proficient at designing software and infrastructure.
• Enjoy mentoring and growing junior develops.
• Have an analytical mindset that helps you identify design flaws in existing systems and come up with improvements.
• Experience understanding customer requirements and/or problems and breaking them down into engineering tasks.

Bonus Skills​

• Advanced knowledge in reverse engineering, particularly with database systems.
• Experience in working with open source projects with other collaborators.
• Experience in data processing (ETL, ELT) and/or cloud-based platforms.
• Experience in designing and developing file, event, application, or database connectors.
• Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, Docker, BuildKite, or similar technologies.

#LI-HYBRID #LI-AM1

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Role Description: 

As a Product Manager for Navy, you will collaborate with Navy Tech Leads to establish a technical roadmap for Mission outcomes with Mission Heroes, and facilitate feedback from Delivery to Product.

Responsibilities: 

• Serves as a Product Manager for the Navy Domain. 
  • Collaborates with Navy Tech Leads to establish technical roadmap for Mission Outcomes with Mission Heroes 
  • Aligns Defense Unicorns’ Product Roadmaps to technical roadmap for your Hero and provides feedback to Product segment on Mission Need dates for features to drive adoption 
  • Share and facilitate feedback from Delivery segment with Product segment regarding Defense Unicorns’ OSS projects and productized services 
  • Work with Tech Leads to establish an aligned Delivery roadmap, using Product roadmaps 
  • Follow company best practices in strategies for building Delivery solutions
  • Balance priorities from users, customers, stakeholders, and the team to deliver mission value in a scalable way
• Fosters an environment for Unicorn growth, mentorship, and coaching within the team
• Fosters an environment for Defense Unicorns values and principles to thrive

Travel Expectations: 4-12 times per year

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.

Preferred Experience and Qualifications:

• US Citizenship and active SECRET clearance
• Proficient in translating pain points to root cause problems and working with engineers to build a roadmap for value delivery
• Proficient in modern software development processes and practices, including DevSecOps, Continuous Delivery, and User-Centered Design
  • Expertise with modern software development processes and practices, including DevSecOps, Continuous Delivery, User-Centered Design, and Value Stream Architecture, and varying Agile frameworks; able to apply and adapt principles and ceremonies from different frameworks to suit the team, the product, and the mission objectives
• Experience managing cross functional engineering teams
• Skilled in expectation management across different personas
• Experience and passion for software delivery for Mission Success within the tech industry or Department of Defense
• Exhibit enough technical depth to understand architectural decisions and translate in a way that stakeholders, users, and the team can understand and be aligned on

*This position will be hybrid remote, with 1-3 days on-site in Colorado Springs, CO required | Active (or active within 24months) Secret Security Clearance required, can hold TS

JOB SUMMARY:

The Information System Security Engineer III (ISSE III) serves as a key technical leader responsible for integrating cybersecurity across the full lifecycle of complex information systems. This role acts as the primary liaison between systems engineering teams and security compliance stakeholders, ensuring security requirements are effectively implemented without compromising mission or operational objectives.

This position supports a Department of Defense (DoD) program focused on enhancing the cybersecurity posture of mission-critical systems operating within Amazon Web Services (AWS) classified environments. The role is heavily centered on executing the Risk Management Framework (RMF), driving system hardening efforts, conducting vulnerability assessments, and developing the documentation required to achieve and maintain Authority to Operate (ATO).

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

Security Architecture & Engineering

• Design, develop, and implement secure architectures across multi-level systems, cloud environments (AWS), and on-premise networks
• Integrate security controls into system design aligned with NIST 800-53 and DoD requirements

Risk Management Framework (RMF) Leadership

• Lead RMF lifecycle activities, including system categorization, control selection, implementation, and continuous monitoring
• Tailor security controls based on system risk, mission needs, and operational constraints

Assessment & Authorization (A&A)

• Develop and maintain Body of Evidence (BoE) documentation, including:
• System Security Plans (SSP)
• Security Assessment Reports (SAR)
• Plan of Action & Milestones (POA&M)
• Support assessment activities and coordinate with Authorizing Officials and assessors

Vulnerability Management & System Hardening

• Conduct vulnerability scans using tools such as Nessus, ACAS, and SCAP
• Analyze findings, prioritize risks, and drive remediation efforts with engineering teams
• Implement and validate system hardening in accordance with DoD and industry standards

Stakeholder Engagement & Security Advisory

• Serve as a trusted advisor to engineering teams and leadership on cybersecurity risks and mitigation strategies
• Translate technical vulnerabilities into mission and business risk for senior stakeholders
• Provide security guidance on system changes, architecture decisions, and engineering trade-offs

REQUIRED QUALIFICATIONS:

• Minimum of 5 years of experience in cybersecurity, systems engineering, or information assurance
• Experience implementing the DoD Risk Management Framework (RMF) in regulated or classified environments
• Active certification meeting DoD 8570 / 8140 requirements (e.g., CISSP, CASP+, or equivalent)
• Strong understanding of:
• Network architecture and protocols
• Encryption and key management
• Secure system configuration (Windows and Linux)
• Experience with vulnerability assessment tools (e.g., Nessus, ACAS, SCAP)
• Ability to communicate complex technical risks to non-technical stakeholders

PREFERRED QUALIFICATIONS:

• CISSP-ISSEP or advanced cybersecurity certification
• Experience working in AWS classified or GovCloud environments
• Familiarity with DevSecOps pipelines and CI/CD security integration
• Experience with container security (Docker, Kubernetes)
• Knowledge of Zero Trust Architecture (ZTA)
• Experience with compliance-as-code and automation tools

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

• Remain in a stationary position for extended periods of time.
• Operate a computer, keyboard, and other office equipment using hands and fingers.
• Communicate effectively in person, over the phone, and through electronic means.
• Occasionally move about the office to access files, office equipment, and meeting spaces.
• Lift and/or move up to 15 pounds as needed.
• Maintain specific vision abilities, including close vision and the ability to adjust focus.

WORK ENVIRONMENT:

This position is performed within a secure, classified workspace. Employees must comply with all applicable security protocols and access control procedures, including restrictions on personal electronic devices and the handling of sensitive information.

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Who we are:

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

About the role: 

As a Infrastructure Engineer - Systems you will provide the United States Space Force (USSF) Systems Engineering and Technical Assistance (SETA) for the Defensive Cyber Operations – Space (DCO-S) program by developing software in support of Space Systems Command (SSC) Cyber Operations Branch rapid agile development of defensive cyber solutions to protect, defend, and respond to both ground and space based cyber adversarial threats.

Core Responsibilities:

• Architectural Design: Develop and analyze complex system topologies and end-to-end architectures to ensure seamless integration of defensive cyber capabilities across ground and space segments.
• Infrastructure Planning: Lead the development of detailed Bills of Materials (BOMs) and rack diagrams, ensuring all hardware and software components are optimized for mission success and technical refreshes.
• Technical Consultative Leadership: Serve as the subject matter expert in high-stakes stakeholder meetings, answering complex technical questions and vetting the feasibility of proposed cyber solutions.
• System Surveys & Requirements: Assist with network tap design and system surveys to ensure data is properly sampled and transported, translating these findings into actionable engineering plans.
• Documentation & Redlines: Review and provide expert feedback on installation and configuration guides, ensuring technical accuracy through redlines and continuous documentation improvement.
• Deployment Oversight: Lead hardware installation and software deployment strategies at mission system sites, coordinating the efforts of technical teams without necessarily being the primary keyboard operator.
  
  

What we are looking for: 

• Experience: Minimum of 10 years of relevant experience in System Administration (Linux/Windows) or Systems Engineering with a master’s degree in a relevant field. In lieu of a master’s a bachelor’s with 18 years of experience is acceptable.
• Architectural Mastery: Proven ability to develop and analyze network topologies, data flow diagrams, and detailed rack integration plans.
• Technical Breadth: Strong knowledge of ESXi/VMware, Gigamon, Trellix, and containerization technologies (Kubernetes/Docker) to effectively guide implementation teams.
• Strategic Planning: Expert-level experience in building BOMs and managing the technical lifecycle of hardware/software stacks.
• Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and military leadership.
• Certifications: Security+ (required); CCNA, CCNP, or JNCIS-Sec (highly preferred).
• Tools: Experience with JIRA, Confluence, and collaborative environments (Slack/Mattermost)

Highly Preferred:

• Strategic Frameworks: Experience with Requirements Analysis, Scaled Agile Framework (SAFe), and Risk Management.
  
• Domain Expertise: Prior experience supporting Space Systems Command (SSC) or the Cyber Operations Branch.
• Mentorship: A proven track record of guiding technical teams and mentoring junior engineers through complex project lifecycles.

Clearance Requirements:

• Active Secret Security Clearance

Salary Range: $120,000.00 - $170,000.00

Work Type:

• Onsite in Colorado Springs, CO
• May require up to 25% travel

What we will offer you: 

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

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. 

This position is open to candidates based in the Denver area with a hybrid work schedule of three days per week in office (Tues-Thurs and two days WFH). We are not offering relocation support at this time.  

THE POSITION

We’re seeking a talented full stack engineer who thrives on solving complex problems and delivering exceptional customer experiences. As part of our growing engineering team, you’ll help build and scale the advertiser platform that powers our business, working across both new and existing systems to create reliable, high-performing applications. You’ll bring a thoughtful approach to navigating and improving our codebase—simplifying complexity, minimizing risk, and continuously advancing our technology stack.

KEY RESPONSIBILITIES

• Design, develop, and maintain both new and existing applications from concept to deployment.
• Contribute to the full software development life cycle (SDLC) for our microservice based architecture, including analysis, design, coding, testing, and support.
• Optimize applications for maximum speed and scalability while ensuring security and data protection.
• Provide feedback to peers by participating in code reviews, design discussions, and troubleshooting sessions.
• Foster strong communication and collaboration within the team, management, and stakeholders.
• Stay up to date with emerging trends and technologies in the industry to incorporate them into operations and activities.
  
  

QUALIFICATIONS

• Minimum of 2 years of experience in full stack development environments
• To be eligible for this role you must have experience in:
• Full stack development with Node.js
• Front-end development with a JavaScript framework such as Vue.js, React, or Angular
• Designing and integrating with APIs
• Cloud services on AWS or Microsoft Azure
• Solid understanding of software design patterns and a strong foundation of programmer fundamentals
• Excellent problem-solving and analytical skills, with a creative and industrious approach to finding solutions.
• Strong communication and the ability to collaborate with a team of engineers, product managers, and business stakeholders
• Ability to use AI tools to generate code and to ensure it meets the quality standards of the team

REQUIRED SKILLS

• Bachelor's in Computer Science, Information Technology, or related field.
• Strong database design and management skills, experienced with DynamoDB, SQL(Snowflake), or similar.
• Experience with microservice based architectures
• Experience with containerization technologies like Docker and Kubernetes.
• Experience with performance tuning and optimization of cloud services
• Experience in Agile/Scrum development process
• Proficiency in project management tools like Jira, Slack, and Confluence

ABOUT LENDINGTREE  

LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.  

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.  

What else you should know:  

We’re a publicly traded company (NASDAQ: TREE).  

We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities. We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health. We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.  

OUR CULTURE  

We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.  

We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)  

Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.  

The base pay range for this position in Seattle/New York/Colorado/California is $110,000 to $150,000 annually; however, base pay offered may vary depending on internal factors, location, job-related knowledge, and experience.  

Incentive Compensation: Eligible for annual performance bonus  

Benefits: Medical, dental, vision insurance and 401(k) matching  

LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.  

CCPA Disclosure

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Privacy Analyst to join our global SaaS company and growing legal team. This non-attorney role will report directly to the Data Protection Officer and will serve in a leading privacy role in the organization. They will be responsible for the company’s global data protection compliance program and there is potential for huge impact across our rapidly-growing global company. The successful candidate will possess strong technical acumen given the strategic nature of the role, have a right-sized risk calculus, and fluid communication skills.

A risk-adjusted privacy analyst with a technical, process, and operations-orientation to help educate and build the business as Fivetran scales. As a member of the Legal team and working with the Legal team to build and scale a world-class legal organization, you will have primary responsibility for building, maintaining and improving the global privacy and data protection compliance programs at Fivetran. 

This will include staying informed of peer company best practices and relevant global data protection developments, coordinating with our privacy attorneys to gauge applicability to the company's activities and objectives and advising the business on how to promote the company's goals while complying with applicable regulations. Your expertise will drive creative, customer-focused, practical and proactive guidance.

Fivetran is a start-up company where everyone rolls up their sleeves and digs in to work, and this role is no different. You will be an analyst on privacy and data protection compliance initiatives.

This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Ironclad, Salesforce, Onetrust, Relyance AI, Trelica, Slab, Jira, Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI, Zendesk, Docker, Grafana, DBeaver, Cortex Cloud

What You’ll Do

• Manage projects related to ongoing compliance with privacy and data protection laws across business areas 

• Help develop, maintain, and scale processes, policies, procedures, technical controls, and playbooks that support global privacy and data protection program

• Utilize project management and communication skills to help define scope, requirements, analyze data, and develop technical recommendations for program and operational execution 

• Drive greater consistency of process, practices, and execution across company-wide privacy and data protection work-streams

• Work closely with privacy team members to further privacy governance, monitoring, reporting, and auditing on the ongoing initiatives of the privacy and data protection program 

• Develop the privacy and data protection program for a global technology company and ability to lead the continued development, maintenance and improvement of Fivetran’s global privacy program including effective policies, procedures, technical safeguards, and documentation

• Contribute to a fast-paced environment and execute change management

• Work cross-functionally throughout the organization including with product, security, engineering teams

• Support the development of the strategy, delivery, and evaluation of the privacy program and data protection compliance

• Embody process and relationship-building skills to accomplish the mission

Skills We’re Looking For

• Understanding of technical issues (cookie management, encryption)

• Experience writing business, functional, and technical requirements with specifications, including strong documentation skills

• Strong data analysis and project management skills

• Engineering background preferred, but not required

• You love privacy-related work and view protecting privacy rights not as a compliance obligation, but as the right thing to do 

• You love working with product strategy and engineering

• Experience with privacy regulations and industry standards, including GDPR, CCPA, CPRA, ISO27701, PCI-DSS, NIST, EU Data Act, EU NIS2, and UK NIS.

Bonus Skills​

• CIPP, CIPM, or CIPT preferred, but not required

#LI-HYBRID #LI-SE1 

About the Role

Fivetran is looking for a high-performance engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. 

As a member of the Site Reliability Engineering team, you will contribute to overall performance and reliability of Fivetran’s infrastructure by monitoring, alerting and initial incident response. You will support the deployment pipeline by working alongside senior SREs. You will gain valuable experience in effective incident response and issue avoidance, becoming a key player in Fivetran’s growing SRE team..

• Responsible for monitoring the availability, capacity, and throughput of Fivetran's production infrastructure to identify and address potential issues.
• Collaborate with engineering teams to integrate reliability best practices into the product roadmap
• Support the prioritization and resolution of critical bugs identified by support or sales.
• Contribute to maintaining 100% availability of production infrastructure by collaborating with engineering to implement automation for scalable deployments
• Proactively monitor infrastructure vulnerabilities and collaborate with the security team to address them in a timely manner.

This is a full-time, hybrid position based out of our Denver, CO Office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Outcomes:

By month 1

• Ramp up with Fivetran technology stack and architecture
• Develop general awareness of all areas of Fivetran's codebase and infrastructure
• Start monitoring the Fivetran platform
• Start contributing to incident post-mortems

By month 2

• Deliver the task that is being assigned

By month 6

• Deliver the project tasks that is being assigned

Competencies:

• 5+  years of  experience working with SaaS products at scale 
• Working experience  of Kubernetes administration
• Knowledge of Cloud Platforms and related tooling: AWS, GCP, Terraform, configuration management
• Experience in Python/Shell scripting. Bonus if you have Java also
• Experience with Linux operating systems internals and administration
• Experience with databases such as PostgreSQL

#LI-HYBRID#LI-EM1

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.

About the Opportunity

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.

• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.

• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. 

• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

• Translate product requirements into well-defined technical designs proactively shaping implementation details.

• Contribute to the necessary technical documentation required for regulatory submissions.

• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. 

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

• 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).

• Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.

• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.

• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
• Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
• Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
• Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
• Identify and resolve workflow inefficiencies or gaps between research and production.
• Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
• Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
  
  

Requirements

• 7+ years of experience in software engineering for ML production or ML platform delivery.
• Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
• Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
• Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
• Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
• Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

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 

• Medical, Dental, Vision insurance
• Virtual Doctor Visits with $0 Co-Pay
• Life Insurance (company paid)
• Short Term Disability Insurance (company paid)
• Long-Term Disability Insurance (company paid)
• Flexible Time Off (FTO)
• Paid Holidays
• Paid Time to Volunteer
• Flex Spending Account (FSA)
• 401K Plan (with an awesome employer match!)
• Employee Assistance Program
• Employee Discounts Program

#LI-Hybrid 

Linux Platform Engineer 

Overview 

Seeking experienced Linux and platform engineers to design and implement automated IT infrastructure solutions. This role combines hands-on technical work with Al-driven automation to modernize infrastructure management at scale. 

Key Responsibilities 

• Design, implement, and maintain IT infrastructure automation tools integrating with enterprise and custom services 

• Develop and support Python-based infrastructure integration code 

• Build monitoring, metrics, and reporting systems emphasizing actionable insights 

• Implement Al enhancements to IT infrastructure, including MCP integration 

Required Qualifications 

• Strong Python development and scripting experience 

• Proficiency with containerization (Docker, Podman, Kubernetes) 

• Cloud platform experience (AWS, Azure, or GCP) 

• Knowledge of Active Directory, LDAP, and core IT services  

• Knowledge of monitoring tools (Nagios, Zabbix, Prometheus)  

• Experience with Git, CI/CD pipelines, and DevSecOps practices 

Preferred Qualifications 

• Linux system administration background 

• Virtualization platform expertise (VMware, KVM) 

• Understanding of networking, storage, and backup systems 

• Strong problem-solving and communication skills 

• Familiarity with configuration management tools (Puppet, Ansible) 

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) 

**This position is fully on-site in Colorado Springs at Peterson SFB - ACTIVE Secret Clearance minimum REQUIRED 

JOB SUMMARY:

The Software Engineer II will design, develop and maintain mission-critical software in support of missile warning systems. Develops and maintains complex engineering computer programs, and performs coding, testing, installing, and maintaining of engineering computer programs having features including multiplicity of function, critical constraints, and elaborate input/output. This position is 100% on-site and requires hands-on collaboration with cross-functional teams in a secure environment. 

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Develop, create, modify, operate, integrate, test and maintain software systems or platforms
• Write and maintain unit tests to ensure code quality and reliability
• Containerize existing codebases using Docker and other container technologies
• Analyze user needs and develop software solutions
• Ensure security of software and systems
• Work with Agile teams in high-level design, development, implementation, integration and verification of software components
• Attend and Participate in Periodic Large Scale Agile Planning events, as well as standard Agile meetings (Sprint Planning, Daily Stand-ups, Backlog Grooming, Sprint Reviews and Retrospectives)
• Develop computer program documentation and operational procedures
• Provide diagnostic support to correct processing anomalies in complex computer programs
• Assist in the preparation of specifications and other activities that require knowledge of programming principles and techniques
• Interpret requirements and performs analysis to ensure that objectives are met
• Support other duties as assigned 

QUALIFICATIONS 

• 4+ years of relevant experience in software engineering 

• Strong experience & Java skills REQUIRED
• C++ preferred
• Experience with unit testing frameworks such as JUnit, Google Test, or similar
• Experience containerizing applications using Docker required (Kubernetes experience a plus)
• Hands-on experience with CI/CD tools such as Jenkins, Atlassian Bamboo, GitLab CI, or GitHub Actions
• This role is 100% on-site and requires daily presence at the designated facility
• Wide breadth of expertise in development languages, tools and environments in the design and development of software-centric solutions
• Producing design documentation and as-built documentation with little or no assistance 

• Other duties as assigned 

SECURITY CLEARANCE: Minimum Active Secret Security Clearance required – Top Secret is preferred

EDUCATION & CERTIFICATIONS: Bachelor’s Degree Required

The estimated compensation range is $160,000.00 - $185,000.00, commensurate on experience and technical skillset. 

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

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

Dark Wolf is looking for summer interns to join us at our offices in Herndon, VA, Colorado Springs, CO, Omaha, NE or Tampa, FL. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.

Duration: June 2026 – August 2026

Type: Full-Time Internship (Paid)

Software Delivery and Cloud Internship: 

As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.

Key Responsibilities

• Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js

• Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.

• Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.

• AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.

• Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).