Intelligence Domain Systems Engineer Jobs

New

Operations Domain Systems Engineer

Barbaricum is seeking mission-focused Mid-Level Operations Domain Systems Engine...

Location

United States , Fort Carson, Colorado; Fort Moore, Georgia

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Minimum 4 years of progressive technical experience supporting operations or intelligence communities
At least 4 years of operational experience in: Mission planning for aircraft weapons systems
Navigation systems, tactical comms, and C2 platforms
Development and execution of peacetime/wartime SOF missions
Working knowledge of Joint and SOF operational tools and platforms
Familiarity with task organization, mission command principles, and support relationships
Active Top Secret Clearance with SCI eligibility is required

Job Responsibility

Provide engineering support for SOCOM and Joint Staff operational and targeting cycles
Train and assist users on programs of record such as: COP Management
OAI Management
Commander’s Critical Information Requirements (CCIR)
Tactical Data Links (TADL) and other C2 systems
Participate in working groups and forums across AoR such as: COP, Joint Fires, Sustainment, Protection, and TADL Working Groups
Analyze unit-specific operational technology gaps and report findings to SOCOM
Collaborate with regional GSSE leads and Joint Task Forces to ensure synchronized support

New

Intelligence Domain Systems Engineer

Barbaricum is seeking skilled and adaptive Mid-Level Intelligence Domain Systems...

Location

United States , Homestead

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Minimum 4 years of experience effectively communicating intelligence and operations insights to senior leaders
Minimum 4 years of analytical experience in at least two intelligence disciplines (HUMINT, SIGINT, IMINT, or OSINT)
Minimum 3 years of experience using intelligence software and tools, such as: Microsoft Office Suite (Word, PowerPoint, Excel, Access), Analyst Notebook, M3 or other research/reporting tools (e.g., Catapult, Palantir, FADE), HOT-R or CHROME (or similar CI/HUMINT tools)
Active Top Secret Clearance with SCI eligibility is required

Job Responsibility

Deliver training and support for intelligence tools and technologies related to: Human Intelligence (HUMINT), Signals Intelligence (SIGINT), Geospatial/Imagery Intelligence (GEOINT/IMINT), Open Source Intelligence (OSINT)
Tailor courses and user training for both SOCOM programs of record and emerging commercial/government-sponsored systems
Advise SOF units on how to leverage intelligence platforms to build a comprehensive operational picture
Support seamless integration of new technologies into existing unit intelligence production schedules
Communicate intelligence and operational findings to senior leadership with accuracy and clarity

Chief Engineer – SME

Delta Solutions & Strategies is seeking a Chief Engineer – SME to support space ...

Location

United States , El Segundo

Salary:

Not provided

Delta Solutions & Strategies

Expiration Date

Until further notice

Requirements

Master’s degree in Engineering or a related technical field is preferred
A Bachelor’s degree is acceptable with a minimum of 12 years of relevant experience
SME-level experience in the design, development, integration, and testing of space systems
Proven leadership in systems engineering and program management for space and airborne mission systems
Strong understanding of space control missions and architecture development
Experience preparing and coordinating program documentation and conducting technical reviews
Familiarity with ground system design and operations
Active Top Secret clearance with SCI eligibility and willingness to take a CI polygraph

Job Responsibility

Lead systems engineering efforts across space control domains including space, ground, and command & control (C2)
Guide technologies through all Technology Readiness Levels (TRLs), from concept through operational deployment
Develop and manage system architectures and technical requirements
Provide expert oversight of system design, development, integration, testing, and operational transition
Offer technical expertise in space control technologies such as optical sensors, radar, electronic support, signals intelligence, and communications
Support the evolution of space situational awareness architectures and address mission capability gaps
Conduct and organize technical design reviews, audits, and system-level engineering milestones
Coordinate development of acquisition documentation supporting ACAT-like programs
Collaborate with multidisciplinary engineering teams and mission partners to ensure alignment with strategic objectives

Fulltime

Vice President of Engineering

Join a Series A–funded digital asset risk-management platform backed by Microsof...

Location

United Kingdom

Salary:

140000.00 - 170000.00 GBP / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

Languages & Backend: Python, Go (Golang), TypeScript
Strong understanding of distributed systems, microservices, API-driven architectures
Data & Analytics: AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses)
Kafka, Kinesis, or other streaming/event platforms
Experience building large-scale ingestion and normalisation pipelines
Experience with analytics engines, scoring frameworks, and real-time compute
Cloud & Infrastructure: AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS)
CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines
Experience operating highly available systems in production environments
Security, Compliance & Enterprise: Secure systems design, identity/auth workflows, audit trails

Job Responsibility

Engineering Leadership & Execution: Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics
Drive execution of the engineering roadmap, delivering secure, scalable enterprise software
Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment
Architecture & Platform Direction: Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations
Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity
Lead technical direction for enterprise deployments, POCs, and customer integrations
Data Infrastructure & Analytics: Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis
Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models
Ensure data accuracy, quality, and resiliency across pipelines and computation layers
Emerging AI & Automation Capabilities: Introduce new automation, reporting, and workflow intelligence features

What we offer

Competitive salary + meaningful equity
Medical insurance (location dependent)
Fully remote + home office budget
Supported attendance at blockchain conferences
Opportunities to collaborate globally and shape emerging industry standards

Fulltime

Staff Software Engineer - Backend

As the Staff Software Engineer for our SaaS platform team, you will be crucial i...

Location

Canada , Toronto

Salary:

189000.00 - 209000.00 CAD / Year

Cyngn

Expiration Date

Until further notice

Requirements

10+ years of software development experience, with a strong focus on backend systems and distributed architectures
Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
Strong background in database design and optimization, including both SQL and NoSQL solutions
Proficiency in developing scalable WebSocket-based real-time communication systems
Expertise in developing real-time data processing pipelines and analytics systems
Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)

Job Responsibility

Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
Ensure system reliability, security, and compliance with industry standards and regulations
Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
Mentor junior developers and contribute to the technical growth of the engineering team
Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance

Principal Machine Learning Engineer

Atlassian is seeking a Principal Machine Learning Engineer to join the Central A...

Location

United States , San Francisco

Salary:

190300.00 - 305700.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
5+ years of related industry experience in the data science domain
Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Drive the development and implementation of cutting-edge machine learning algorithms
Train sophisticated models
Collaborate with product, engineering, and analytics teams to build the AI functionalities into Atlassian products and services
Design system and model architectures
Conduct rigorous experimentation and model evaluations
Provide guidance to emerging ML engineers

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Staff Software Engineer - Backend

As the Staff Software Engineer for our SaaS platform team, you will be crucial i...

Location

United States , Mountain View

Salary:

198000.00 - 225000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

10+ years of software development experience, with a strong focus on backend systems and distributed architectures
Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
Strong background in database design and optimization, including both SQL and NoSQL solutions
Proficiency in developing scalable WebSocket-based real-time communication systems
Expertise in developing real-time data processing pipelines and analytics systems
Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)

Job Responsibility

Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
Ensure system reliability, security, and compliance with industry standards and regulations
Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
Mentor junior developers and contribute to the technical growth of the engineering team
Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Remote or hybrid work opportunities
Sabbatical leave opportunity after five years with the company
Paid Parental Leave
Daily lunches for in-office employees
Monthly meal and tech allowances for remote employees

Fulltime

Head of Engineering, Product AI

Atlassian is looking for a Head of Engineering to lead product AI feature develo...

Location

United States , Seattle; Mountain View; San Francisco

Salary:

251700.00 - 400000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains
Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies
A track record of delivering high-quality AI solutions in a product-driven organization
Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation
Previous experience collaborating with Engineering, Product Management, and Platform teams
Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively
Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments
Demonstrated ability to manage complex projects and foster cross-functional collaboration
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap
Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem
Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems
Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes
Ensure the scalability, security, and ethical deployment of personalized AI technologies
Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products
Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality
Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Intelligence Domain Systems Engineer

Barbaricum

Location:
United States , Camp Lejeune, NC ▼
Fort Bragg, NC
Fort Moore, Georgia
Hurlburt Field, Florida
Tampa, FL

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 23, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Intelligence Domain Systems Engineer

Barbaricum

Location:United States , Camp Lejeune, NC ▼Fort Bragg, NCFort Moore, GeorgiaHurlburt Field, FloridaTampa, FL

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 23, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Operations Domain Systems Engineer

Intelligence Domain Systems Engineer

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Head of Engineering, Product AI

Location:
United States , Camp Lejeune, NC ▼
Fort Bragg, NC
Fort Moore, Georgia
Hurlburt Field, Florida
Tampa, FL

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 23, 2025