Active (or active within 24months) Secret Security Clearance required, can hold TS

JOB SUMMARY:

As a Cloud Engineer II (CEII) you will provide engineering and transformation expertise to migrate and modernize the environment. Deploying architectures to support Working with a team to plan, assess requirements, design, and develop optimal and secure cloud-based solutions. Engineer must have exceptional problem-solving skills and have a greater understanding of the code base to identify and solve issues before an issue becomes systematic.  All engineers on the team are key contributors to the overall program success providing vital services to our government customers.  Engineers are expected to stay current with best practices, industry standards and advance current and existing certifications to obtain necessary approval for operating within the environment. There may be some travel required with this position. 

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Design, provision and deploy AWS infrastructure (EC2, VPC, IAM, S3, RDS, Lambda, CloudWatch and related services) following industry best practices and organization standards.
• Execute cloud migrations with minimal downtime, ensuring data integrity and application continuity across environments.
• Implement Zero Trust architecture principles throughout infrastructure and systems to ensure security posture.
• Configure and manage identity and access management (IAM) policies, active directory integration for role-based access controls.
• Produce internal and customer facing documentation for the configuration and use of deployed systems.
• Configure and manage active directory services for system, application and environment access including security and group policies within active directory.
• Implement security controls and hardening measures to meet compliance requirements and organizational security standards as implemented.
• Conduct security assessments of cloud resources and remediate identified vulnerabilities
• Monitor system and application performance metrics using CloudWatch and other observability tools to assess, provide recommendations on and take action in order to resolve performance issues.
• Perform root cause analysis on incidents and recommend corrective actions to prevent recurrence
• Maintain and enhance documentation of infrastructure configurations for all environments.
• Provide reports and actions taken necessary to work as a team and enable handoff of issues within and between teams.
• Evaluate and make recommendations on cloud and system technologies including executing proof-of-concept and minimum viable product testing as part of program engineering efforts.
• Support application migrations into infrastructure as code and cloud native approach.
• Provide feedback and revision to customer-based requirements when core program direction and requirements do not align
• Ability to build strong and friendly relationships with partners, stakeholders and customers to limit escalated issues.
• Experience in troubleshooting, developing and deploying containerized applications and system workloads using Docker, including building optimized Docker images, managing container lifecycles and debugging container runtime issues across environments.
• Deliver Cloud Solutions across multiple environments to meet business needs

REQUIRED SKILLS AND EXPERIENCE:

• 5+ years of progressive IT experience in systems administration, networking or infrastructure engineering
• 2+ years of demonstrated Cloud Engineering experience, with a primary focus on AWS service design, deployment and operations.
• CompTIA Security+ Certification AWS Associate Certification or higher

EDUCATION: Bachelors with  5+ or Master with  3+ Years of Experience

LENGTH: 4 Months

LOCATION: Remote

CLEARANCE REQUIRMENT:  Secret

DOD 8570 REQUIREMENT: None

SALARY RANGE: $75 to $90 

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.

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

As a Senior Systems Operations Engineer at Spire, you will be responsible for ensuring that on-orbit mission operations meet and sustain technical and service-level objectives. You will serve as the technical link between the development and operations phases of the mission lifecycle, ensuring that the constellation behaves as expected and that any deviations are rapidly understood, assessed, and resolved with sound engineering judgment.  

This role is central to Spire’s strategy to deliver scalable, reliable, and technically assured services using model-based engineering and validated asset profiles. Your work will ensure that decisions affecting constellation performance are made with technical insight.  

Role Responsibilities:  

• Own the technical quality of mission operations during the on-orbit service period, ensuring Service Level Agreements (SLAs) are well defined, monitored, and maintained. 
• Assess and design strategies to address underperformance, providing detailed technical insight and coordinating resolution strategies in collaboration with Systems Engineering, Mission Design, and SRE. 
• Define and manage the high-level structure and performance requirements of asset profiles, ensuring they accurately represent mission needs and provide a clear basis for verification. Work with System Owners and SMEs to ensure subsystem capabilities are properly characterised, and with SREs to ensure ongoing validation of in-orbit performance. 
• Bridge the gap between Systems Engineering, Mission Design, Program Management, Customer Service, and SRE by providing technical leadership during the mission service period. Define the tooling and functional monitoring needs that enable the SRE team to maintain constellation health and respond effectively to deviations. 
• Support SRE, Platform, and Customer Service leads in triaging constellation or satellite issues that deviate from nominal asset profile definitions, ensuring escalation paths and responses are technically justified. 
• Act as a technical reviewer and contributor during Mission Readiness Review (MRR) and pre-launch handover, ensuring operational teams are equipped with validated, well-understood assets and clearly defined expectations for mission performance. 
• Identify operational risks and propose mitigations related to in-orbit performance, platform limitations, or evolving CONOPS. 
• Ensure technical consistency and justification for on-orbit changes such as mode transitions, re-tasking, or adjustments to duty cycles or resource allocations. Lead the rollout of complex fleet-wide changes when CONOPS are being updated, ensuring risks and dependencies are managed. 
• Collaborate across SRE, Platform, and Systems teams to codify lessons learned into reusable operational standards, documentation, and improved design practices for future missions. 
• Derive and maintain Operational Requirements by helping project teams translate mission and system-level requirements into operational-level non-functional requirements (SLOs, latency, freshness, availability), with verification methods and traceability. 
• Support configuration control during service, helping manage the versioned operational baseline (limits, parameters, tasking configurations) and working with SREs, System Owners, and Customer Service to prevent configuration drift across the fleet. 
• Support the definition and coverage of FDIR (Fault Detection, Isolation, and Recovery) logic, ensuring coverage against top failure modes and reducing residual operational risk over time. 

Basic Qualifications:  

• BSc in Aerospace Engineering, Systems Engineering, Computer Science, or other relevant technical discipline. 
• 3+ years of experience in system performance monitoring, root cause analysis, and anomaly resolution. 
• Solid understanding of space system behaviour on orbit, including thermal dynamics, power management, RF communications, and tasking impacts. 
• Ability to translate system-level engineering context into clear operational guidance and tooling requirements. 
• Familiarity with SLA-driven architectures, system observability, and mission assurance principles. 
• Clear communication skills to align stakeholders across engineering, operations, and customer delivery. 
• Familiarity with software tools and frameworks used in operations, including strong Python, SQL skills and GitHub-based workflows. 

Preferred Qualifications:

• 3+ years of experience supporting operations of multi-satellite constellations. 
• Knowledge of asset profiling approaches and system models (including fault profiles, mode transitions, and performance boundaries). 
• Understanding of ground-segment tooling, SRE practices, or telemetry/telecommand systems. 
• Experience working with cross-functional, multi-time zone teams across engineering and operations. 
• Background in satellite mission design, including the transition from development to operations. _LI-MK1

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

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _LI-MK1

Active (or active within 24months) Secret Security Clearance required, can hold TS

JOB SUMMARY:

The Cloud Engineer III supports the design, planning, and implementation of IL5-aligned cloud environments within AWS GovCloud (US). This role focuses on executing complex cloud engineering tasks, supporting secure architecture development, and ensuring alignment with DoD cybersecurity requirements and operational objectives. There may be some travel required with this position. 

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Support the design and implementation of secure cloud architectures aligned to NIST SP 800-53 Revision 5 and DoD SRG requirements
• Develop and maintain infrastructure-as-code (IaC) solutions to enable repeatable and portable cloud deployments
• Implement and configure core cloud services including networking, identity and access management, logging, monitoring, and encryption
• Support development of transferable enclave architectures for constrained or restricted hosting environments
• Evaluate existing system architectures and assist with modernization efforts to improve scalability, security, and efficiency
• Deploy and support containerized workloads and cloud-native services, including serverless and managed service patterns
• Implement required security controls to support RMF and ATO processes, including evidence collection and validation
• Support data migration activities including preparation, execution, and validation
• Collaborate with architects, security engineers, and stakeholders to ensure alignment across design, implementation, and compliance
• Troubleshoot and resolve complex issues across cloud infrastructure, networking, and application environments

REQUIRED SKILLS AND EXPERIENCE:

• Hands-on experience deploying and operating workloads in AWS GovCloud (US) or commercial AWS environments
• Strong experience with AWS services including VPC, EC2, IAM, KMS, CloudWatch, and related networking and security services
• Experience developing infrastructure-as-code using tools such as Terraform or CloudFormation
• Experience working with container technologies such as Docker and container orchestration or serverless container platforms
• Understanding of DoD or federal cybersecurity frameworks including NIST 800-53 and RMF
• Ability to implement secure configurations aligned to STIGs and vulnerability management practices

PREFERRED SKILLS AND EXPERIENCE:

• Experience supporting IL4/IL5 environments or DoD SRG-aligned cloud implementations
• Familiarity with ATO processes, eMASS, and security control evidence development
• Experience with managed cloud services such as database-as-a-service and serverless architectures
• Experience operating in constrained or restricted cloud environments with service limitations
• AWS certifications such as Solutions Architect or Security Specialty

EDUCATION: Bachelors with  7+ or Master with  5+ Years of Experience

LENGTH: 4 Months

LOCATION: Hybrid Remote/On site Colorado Springs

CLEARANCE REQUIRMENT:  Secret

DOD 8570 REQUIREMENT: None

SALARY RANGE: $100 to $120 per hour

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.

**This position is fully on-site in Colorado Springs, CO | Active Secret Clearance Min. (or active withing past 24 months) Required

JOB SUMMARY:

The Systems Engineer – MBSE Specialist focuses on Model-Based Systems Engineering (MBSE), performing system architecture modeling efforts using SysML within Dassault’s Cameo tool suite.

This role supports system architecture development by translating existing technical documentation and DoDAF artifacts into structured SysML models, while mentoring engineering teams on MBSE methodologies, tools, and digital engineering best practices.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Develop and maintain system architecture models using SysML in Dassault Cameo tools (Enterprise Architect, Collaborator, Teamwork Cloud)
• Serve as the Cameo and SysML subject matter expert across engineering teams
• Mentor and guide systems engineers and architects on MBSE tools, SysML standards, and modeling best practices
• Support conversion of existing DoDAF views into SysML-based models
• Build system and subsystem models from existing technical documentation using established style guides
• Collaborate with architecture teams to ensure consistency and accuracy of system models
• Apply digital engineering principles to improve system design, traceability, and analysis
• This position will be filled and worked onsite in Colorado Springs, CO.
• SysML Modeling
• Dassault Cameo (Enterprise Architecture, Collaborator, Teamwork Cloud)
• Model-Based Systems Engineering (MBSE)
• DoDAF / UAF Frameworks
• Digital Engineering Practices

SKILLS AND EXPERIENCE:

• Active Secret Clearance
• Thorough understanding of systems engineering lifecycle and core concepts
• Experience modeling with SysML
• Experience using Dassault Cameo modeling tools
• Experience working in collaborative engineering environments
• Ability to mentor engineers with limited MBSE/Cameo experience
• Familiarity with architectural frameworks such as DoDAF and/or UAF

YEARS OF EXPERIENCE: Minimum 3 years of experience

PREFERRED TECHNICIAL SKILL & CERTIFICATIONS:

• Bachelor’s degree in Computer Engineering, Systems Engineering, or related STEM field
• 5+ years of experience modeling with SysML
• 5+ years of experience using Cameo modeling tools
• Knowledge of U.S. Space Force Space Systems Command SysML Style Guide
• Advanced knowledge of DoDAF and/or UAF frameworks
• SysML Certification (e.g., OMG-Certified SysML Professional – OCSMP)
• Familiarity with ITW/AA and Space Domain Awareness (SDA) mission areas

SECURITY CLEARANCE: Secret Clearance, TS preferred

EDUCATION/CERTIFICATION: Bachelor’s degree in related field preferred, or equivalent experience

The Perks

• Comprehensive medical, dental and vision plans for you and your dependents
• 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
• Competitive Compensation
• Training and development programs
• Stocked kitchen with snacks and beverages
• Collaborative and cool culture
• Work-life balance and generous paid time off

PHYSICAL DEMANDS: While performing the standard duties of this job, the employee can expect light physical exertion with long periods of sitting, occasional standing and walking; limited bending, crouching, stooping, stretching, reaching, or similar activities; occasional lifting/moving of items up to 25 pounds. Hearing and speech communication in person and over the telephone is essential to fulfilling the duties of this position.  Specific vision abilities required to read printed materials and a computer screen; including close vision and the ability to adjust focus.

WORK ENVIRONMENT: While performing the duties of this job, the employee is frequently surrounded by other employees and their conversations on the telephone and in person.  The noise level and indoor office temperature may vary. 

US Citizenship Required for all Trace3 Gov positions

About Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

As a SaaS Product Line Specialist Sales Engineer, you will provide technical direction and business guidance to the regional sales team. We are seeking a self-starter who will exceed sales quotas by driving innovative technical programs, pipeline generation alongside AEs, customer demonstrations, POCs, and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting Rubrik’s Data Resilience, Observability and Remediation tools to a targeted list of new & existing customers throughout the Western Region.

What You'll Do:

• Provides technical leadership and direction to Rubrik, customers, and prospects in the development and positioning Rubrik's SaaS solutions (M365, Google Workspace, Jira, Dynamics)
• Serves as a trusted technology advisor to customers and serves as a public cloud subject matter expert when positioning Rubrik's SaaS capabilities to key accounts.
• Leads technical sales calls, gathers / analyzes customer feedback, and identifies trends.
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.
• Maintains a consistent cadence with product management to ensure product roadmap alignment with customer demands.
• Assists with the development of marketing and sales collateral to ensure alignment with customer needs and technical accuracy.
• Aids in the development and delivery of technical enablement to Rubrik, channel, and alliance partner sales architects.
• Cross-functionally drives the adoption of Rubik's cloud native protection technologies throughout Rubrik and the public cloud ecosystem.

Preferred Qualifications:

• 5+ years of sales engineering experience in an unstructured data environment with a proven track record of success
• Additional preference for experience with M365, Google Workspace, Dynamics, Jira and other SaaS applications
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

#LI-CG1

About Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

Rubrik is looking for solutions architects with extensive experience in agentic technologies to provide technical direction and business guidance to our new product incubation team - RubrikX. As a Go To Market (GTM) Tech Lead, you will be accountable for product line revenue goals by developing the corporate technical go to market strategy and overseeing key account technical pre-sales activities. You will be responsible for building, evangelizing, positioning, and architecting the industry's leading agentic AI governance and security platform for a mix of enterprise and majors customers throughout North America.

What You'll Do:

• Provides technical leadership and direction to Rubrik, customers, and prospects in the development and positioning Rubrik's AI Agentic Cloud offerings.
• Serves as a trusted technology advisor to customers and serves as an agentic AI subject matter expert when positioning Rubrik's cloud capabilities to key accounts.
• Leads technical sales calls, gathers / analyzes customer feedback, and identifies trends.
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.
• Maintains a consistent cadence with product management to ensure product roadmap alignment with customer demands.
• Assists with the development of marketing and sales collateral to ensure alignment with customer needs and technical accuracy.
• Aids in the development and delivery of technical enablement to Rubrik, channel, and alliance partner sales architects.
• Cross-functionally drives the adoption of Rubrik Agent Cloud throughout Rubrik throughout Rubrik the and the agentic AI ecosystem.

Preferred Qualifications:

• 5+ years of sales engineering experience in an AI environment with a proven track record of success.
• Additional preference for experience with observability and/or governance technologies.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in large language models, agentic AI, and agent builder technologies
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

#LI-KP1

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GHX is seeking a Senior Software Engineer to work on our Enterprise Integration solutions. The position will report to the Manager, SWE and be responsible for leading development efforts toward the creation, implementation, and support of existing and next-generation software solutions. The Senior Software Engineer will analyze, design, code, and debug enhancements to existing software and/or new products used in on premise and cloud-based applications. They will be a leader in their teams integration with AI and Claude Code.  This role is responsible for interacting with stakeholders to define system requirements and/or necessary modifications in an Agile/Scrum environment.

Principle duties and responsibilities:

• Gathers and writes technical requirements for complex stories, features, and epics.  Authors technical designs.
• Leverages Java to develop Rest API’s..  
• Implements applications in cloud-based infrastructure.
• Identifies best practices and guides other team members in the implementation of best practices.
• Leverages Angular to develop user friendly applications.
• Maintains, modifies, and improves existing applications.
• Recognizes when a broad solution is needed based on trends/root causes and recommends solutions. 
• Contributes to and may lead project document reviews and design/code reviews.
• Ensures adherence to IT Control Policies throughout design, development, and testing.
• Proactively works with cross-functional teams.  Builds and maintains good business relationships that help drive ideas and solutions. 
• Proactively engages team to review ideas, solutions, issues, and/or concerns.
• Applies AGILE concepts and works collaboratively and closely with QA in an Agile/Scrum environment. 
• Trains and mentors new/junior teammates and coordinate the activities within the larger team.

Competencies:

• Proficient with multiple technologies and may have some understanding of architectural principles.
• Identifies, implements, and applies best practices. Is the “go to” person on the team.
• Defines how the work should be done; provides intelligent alternatives to the status quo.  Sells and drives ideas.  Owns issues and can work effectively inside and outside of the team to influence and drive results.
• Ability to handle multiple projects and possesses a proven track record of high-quality deliverables.
• Ability to effectively communicate technical concepts to technical staff and can work effectively with cross-functional departments with varying degrees of technical experience.
• Understands and can explain up and downstream impacts across products, teams, and the organization.
• Constructively challenges the status quo; develops, proposes, and supports the implementation of innovative and creative solutions. Iterates and improves across multiple business domains.
• Displays flexibility in adapting to changing conditions and helps lead others through change.
• Leads by example, promotes a common purpose, and is a catalyst for success.
• Thinks strategically, displays a high degree of emotional maturity, and demonstrates a positive outlook.
• Strong team player, makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively.
• Possesses a broad understanding of Agile/LEAN principles and the ability to apply the AGILE methodology.

Required Qualifications:

• Requires a minimum of 8 years of experience in software development.
• BS Degree in Computer Science.
• Experience with leading teams in use of Claude Code
• Prior experience working in an AGILE/SCRUM environment.
• Must be able to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large projects.
• Strong Java developer
• Object Oriented Design and Development skills, including understanding of common design patterns.
• Experience with containerization and container orchestration.
• Experience with AWS cloud infrastructure
• Experience with Angular application development.
• Experience with Restful and/or SOAP web services
• Relation Database & SQL Experience
• Basic understanding of some networking protocols [TCP, HTTP, FTP, SSH, SSL] and interfaces.
• Experience with Linux / UNIX
• Experience with GIT Code management.
• Experience with Build tools – Maven, Gradle

Preferred qualifications:

• Certificate-based authentication, cryptography
• Experience in System integration/ B2B integrations / SCM / MMIS / ERP development or integration is a plus
• Post-graduate degree.
• EDI Experience is a plus
• Experience with AI PLDC integration
• Exposure to UI framework like Angular is a plus
• SSL and java cryptography programming experience
• Load testing using any toolset
• Functional and behavioral testing using any toolset
• Exposure to CICD process using Jenkins/ Hudson, Bamboo or something similar.
• Experience with Spring.
• Familiarity with centralized log management solution
• Data analytics is a plus
• Team player with a good attitude.

Estimated salary range: $128,000 - $152,000

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

Location: This role is based at our Louisville, CO office with the option to work a few days a week remotely. 
Travel: Up to 5%
Job ID: 1570

The Role

Capella is looking for an energetic Senior Electrical Engineer Manager who will be responsible for leading and managing a team of electrical engineers who design, develop, and test electrical systems and components. This role involves supporting project execution, ensuring compliance with industry standards, and driving innovation of our electrical systems within our satellite.

This role will sit within the Spacecraft Engineering team at Capella Space. This team contains a variety of engineering disciplines that design and develop the satellite and payload systems.

Responsibilities

Leadership and Management:

• Lead, mentor, and develop a team of electrical engineers, providing guidance, support, and performance feedback of a distributed team across two offices.
• Assign people to tasks and manage workloads to ensure timely project completion.
• Foster a collaborative and innovative team environment.

Project Oversight:

• Oversee the design, development, and testing of electrical systems and components for our application.
• Allocate resources effectively to meet project goals and deadlines.
• Support systems engineering requirements.

Technical Expertise:

• Provide technical expertise and guidance on electrical design, integration, and troubleshooting.
• Stay current with industry trends, emerging technologies, and regulatory requirements.
• Drive continuous improvement in electrical engineering practices and processes.

Compliance and Quality Assurance:

• Ensure compliance with aerospace industry standards, including safety, reliability, and regulatory requirements.
• Implement and enforce quality assurance procedures to maintain high standards in all engineering activities.

Qualifications

• Education: Bachelor’s degree in Electrical Engineering; a Master’s degree or higher is preferred.
• Experience: 
• Minimum of 12 years of experience designing, testing, and troubleshooting complex board designs and systems in a hardware R&D lab environment, with 4 years in a managerial or leadership role.
• Proven experience in aerospace systems, or similar high reliability industry, and components is highly desirable.
• Skills: 
• Understanding of hardware evaluation methodologies, including development of test cases/suites, performance analysis, test automation, and data analysis 
• Extensive experience with oscilloscopes, logic analyzers, thermal chambers, and other test equipment 
• Experience with I2C, SPI, PCIe, USB, etc. 
• Experience designing modern analog and digital electronics 
• Experience in PCB schematic capture & layout
• Experience with Altium designer tools or other similar electronic CAD tools 
• Experience designing high reliability systems 
• Knowledge of the PCBA fabrication and assembly process 
• Familiarity with PLM tools and strong revision control practices 
• Excellent design and manufacturing documentation skills with attention to detail 
• Ability to work autonomously by determining and evaluating different courses of action independently 
• Strong technical communication skills to be used in a highly collaborative environment

Required Qualification

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Compensation 

The approximate base salary range for this position is $192k - $220k DOE. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site. 

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

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.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

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.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of Denver, CO the annual salary range for this role is $152,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

For residents of Denver, CO the annual salary range for this role is $189,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

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.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of Denver, CO the annual salary range for this role is $157,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

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. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What you will do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

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: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Remote

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About the Role

The Security Operations Engineer is responsible for operating the security controls that protect the company's enterprise, cloud, and mission systems, and technical response to security events across the environment. This role operates the day-to-day execution of detection, investigation, vulnerability management, and cloud security posture work, and serves as a hands-on technical authority across the security tooling stack. The Security Operations Engineer partners closely with IT, infrastructure, engineering, and product teams to reduce risk, shorten time-to-detect and time-to-respond, and ensure that security controls function reliably in regulated and non-regulated environments alike. This is a deeply technical role requiring strong engineering fundamentals, incident response experience, and the judgment to make sound security decisions under pressure.

Key Responsibilities:

Detection, Monitoring & Response

• Operate and continuously improve the company's Security Information and Event Management (SIEM) platform, including log source onboarding, parser and normalization maintenance, detection content development, and alert tuning to minimize false positives while preserving coverage.
• Build and maintain detection rules mapped to adversary behaviors and develop corresponding response playbooks and automation.
• Serve as a first responder and technical liaison for security incidents, including triage, containment, forensic collection, root cause analysis, and post-incident review; coordinate with IT, engineering, and legal stakeholders throughout the lifecycle.
• Maintain incident response documentation, runbooks, and evidence-handling procedures suitable for regulated environments and contractual reporting obligations.

Vulnerability Management

• Operate the vulnerability management lifecycle across endpoints, servers, containers, and cloud workloads, including scanning cadence, finding validation, prioritization, remediation tracking, and exception governance.
• Partner with system owners and engineering teams to drive remediation within agreed service levels, and escalate aging or high-severity findings through defined risk channels.
• Produce vulnerability posture reporting and trend analysis for technical and leadership audiences.

Cloud Security Posture Management

• Operate Cloud Security Posture Management tooling across the company's cloud environments, including configuration baseline enforcement, drift detection, and continuous compliance monitoring against internal standards and applicable frameworks.
• Investigate misconfigurations and risky resource states, coordinate remediation with cloud and platform teams, and contribute guardrails and preventive controls where appropriate.

Endpoint Security

• Administer and tune endpoint detection and response (EDR) tooling across corporate and engineering fleets, including policy management, exclusion governance, telemetry quality, and response action workflows.
• Investigate endpoint alerts and suspicious activity, and coordinate containment, isolation, and recovery actions with IT.

Identity, Access & Secrets

• Support operational identity and access management activities, including privileged access monitoring, access review execution, anomaly investigation, and integration of identity telemetry into detection pipelines.
• Partner with IT and engineering on secrets management hygiene, including monitoring for leaked or misused secrets and supporting remediation workflows.

Threat Intelligence

• Consume, evaluate, and operationalize threat intelligence from commercial, open-source, and government sources; translate relevant intelligence into detections, hunts, and control recommendations.
• Conduct periodic threat hunting across available telemetry based on current intelligence and environmental risk.

Data Loss Prevention

As capacity allows, support Data Loss Prevention (DLP) tooling operations, including policy tuning, alert triage, and coordination with data owners on sensitive data handling concerns.

Security Tooling

• Act as a technical liaison for assigned security tools, including deployment, upgrade, integration, and health monitoring; author and maintain the integrations, scripts, and automation that connect security tooling into the broader engineering and IT ecosystem.
• Evaluate new security technologies through proof-of-concept exercises and provide technical input into procurement and platform strategy decisions.

Required Qualifications:

• Five or more years of progressive hands-on experience in security operations, detection engineering, incident response, or a closely related technical security discipline.
• Demonstrated expertise operating a SIEM platform in production, including detection content authoring, data pipeline management, and tuning at scale.
• Proven incident response experience, including acting as a technical lead during material security events from initial triage through post-incident review.
• Strong working knowledge of cloud security in at least one major provider (AWS, Azure, or GCP), including native security services, identity constructs, and common misconfiguration patterns.
• Practical experience with vulnerability management tooling and remediation workflows across mixed environments.
• Solid scripting and automation skills in Python, PowerShell, or a comparable language, including integrating APIs across security and IT tools.
• Familiarity with common detection engineering practices, and established incident response frameworks.
• Ability to communicate complex technical findings clearly in writing and to translate security risk for non-security audiences.
• Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

Preferred Qualifications:

• Experience operating in environments subject to NIST SP 800-171, CMMC, FedRAMP, ISO 27001, or comparable regulated frameworks.
• Hands-on experience with AWS GovCloud, Microsoft 365 GCC High, or other sovereign cloud environments.
• Experience with EDR platforms such as CrowdStrike, SentinelOne, or Microsoft Defender for Endpoint at enterprise scale.
• Experience with CSPM platforms such as Wiz, Prisma Cloud, Orca, or equivalents.
• Detection engineering experience using Sigma, KQL, SPL, or similar query and rule languages.
• Exposure to identity platforms such as Okta, Entra ID, or Ping, including their audit and telemetry surfaces.
• Industry certifications such as GCIH, GCIA, GCFA, GCED, OSCP, or equivalent technical credentials.
• Active US security clearance, or eligibility to obtain one.

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

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

It’s not just about the tech; it’s about the people. At Career TEAM, we work to accelerate the human condition. Through our Career EDGE platform, we build enterprise software that changes lives across the United States—and that’s just the beginning.

As a Lead Software Engineer, you’ll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs nationwide. You’ll work with modern web technologies in a collaborative, Agile environment and contribute to software that has real-world social impact.

Specifically, What You Will Do
You will lead the design, development, and support of core platform services and applications using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you’ll be architecting, building, and maintaining scalable systems that power our workforce development platforms and support users across the country.

Your work will include designing and developing modern web applications and RESTful services, improving system performance and scalability, and ensuring our platform remains reliable, secure, and maintainable as it grows.

As a technical leader, you’ll collaborate closely with engineers, analysts, product partners, and leadership to shape system architecture, define technical direction, and deliver high-quality solutions that meet both business and user needs. You’ll also mentor engineers, contribute to architectural decisions, review code, and guide engineering best practices across the teams.

As part of an Agile team, you’ll participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build.

Ideal Candidate Qualifications
● Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience
● Proficiency with JavaScript or TypeScript and backend development using Node.js
● Experience building APIs and services using modern frameworks (e.g., Nest.js, Express)
● Experience designing and architecting distributed or scalable systems
● Experience working with MongoDB or other NoSQL databases
● Familiarity with frontend frameworks such as React, Next.js, or Angular
● Understanding of RESTful services and data formats such as JSON and XML
● Familiarity with Docker, CI/CD pipelines, and cloud-based environments
● Experience mentoring engineers, conducting code reviews, and guiding technical best practices
● Strong analytical, problem-solving, and collaborative communication skills

About Career TEAM: Founded in 1996, Career TEAM, LLC is a private workforce development organization. Career TEAM’s outstanding record of accelerating the human condition has resulted in numerous honors:
● Named by Inc. Magazine as one of America's 500 fastest growing privately held companies
● Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation
● Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program
● Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider

As a socially conscious organization, Career TEAM has found a healthy balance between for-profit innovation and community enrichment. Looking ahead, the organization will continue to close the nation’s opportunity divide with additional government-funded workforce sites; while also building staff capacity of workforce funding sources and industry providers. See www.careerteam.com for more information.

Career Team is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Background Check Requirements. Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to
satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.

California Consumer Privacy Act ("CCPA"). Career Team is committed to complying with the CCPA and all data privacy and laws in the jurisdictions in which it recruits and hires employees. Career Team collects and uses Personal Information for human resources, employment, benefits administration, health and safety, and business-related purposes and to be in legal compliance. Below are the categories of Personal Information we collect and the purposes for which we intend to use this information:

Identifying information, such as your full name, gender, date of birth, and signature; Demographic data, such as race, ethnic origin, marital status, disability, and veteran or military status; Contact information, such as your home address, telephone numbers, email addresses, and emergency contact information; Dependent's or other individual's information, such as their full name, address, date of birth, and Social Security numbers (SSN); National identifiers, such as SSN, passport and visa information, and immigration status and documentation; Educational and professional background, such as your work history, academic and professional qualifications, educational records, references, and interview notes; Employment details, such as your job title, position, hire dates, compensation, performance and disciplinary records, and vacation and sick leave records; Financial information, such as banking details, tax information, payroll information, and withholdings; Health and Safety information, such as health conditions (if relevant to your employment), job restrictions, workplace illness and injury information, and health insurance policy information; Information Systems (IS) information, such as your search history, browsing history, login information, and IP addresses on the Company's information systems and networks; Biometric information, such as facial recognition, fingerprints, iris or retina scans, keystroke, or other physical patterns; and Geolocation data, such as time and physical location related to use of an internet website, application, device, or physical access to a Company office location.

The Company collects Personal Information to use or disclose as appropriate to:
(1) Comply with all applicable laws and regulations; (2) Recruit and evaluate job applicants and candidates for employment; (3) Conduct background checks; (4) Manage your employment relationship with us, including for: (a) onboarding processes; (b) timekeeping, payroll, and expense report administration; (c) employee benefits administration; (d) employee training and development requirements; (d) the creation, maintenance, and security of your online employee accounts; (e) reaching your emergency contacts when needed, such as when you are not reachable or are injured or ill; (f) workers' compensation claims management; (g) employee job performance, including goals and performance reviews, promotions, discipline, and termination; and (h) other human resources purposes; (5) Manage and monitor employee access to company facilities, equipment, and systems; (6) Conduct internal audits and workplace investigations; (7) Investigate and enforce compliance with and potential breaches of Company policies and procedures; (8) Engage in corporate transactions requiring review of employee records, such as for evaluating potential mergers and acquisitions of the Company; (9) Maintain commercial insurance policies and coverages, including for workers' compensation and other liability insurance; (10) Perform workforce analytics, data analytics, and benchmarking; (11) Administer and maintain the

Company's operations, including for safety purposes; (12) For client marketing purposes; (13) Exercise or defend the legal rights of the Company and its employees, and affiliates, customers, contractors, and agents; and (14) to comply with requirements of government

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity 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.

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.

This Senior IAM Engineer will own the Okta for Government High (FedRAMP High) tenant, which serves as the enterprise Identity Provider and Identity Governance platform for a 1,500+ user organization. The role is the primary technical resource responsible for the build, enhancement, and operation of key functions, including SSO integrations, Identity Governance (OIG), Lifecycle Management, Workflows automation, and Adaptive MFA policy.

In the first three months, you will help develop the core program documentation and workflows. You will collaborate with external teams like IT, Legal and People to integrate into company processes. You will work with our technical security experts to build Identity and Access management processes and procedures.

Responsibilities

• Own the Okta for Government High (FedRAMP High) tenant — configuration, health, lifecycle, and security posture
• Manage Universal Directory: on-prem AD Agent sync, HRIS attribute mastering, profile mappings, and group rules
• Build and maintain all SSO app integrations via the Okta Integration Network (OIN) using SAML, OIDC, and SCIM
• Own and maintain Okta Adaptive MFA policies: factor enrollment rules, risk-based step-up authentication, FIDO2/YubiKey/PIV/CAC configuration
• Maintain the Okta System Log to Microsoft Sentinel log streaming pipeline and retention configuration
• Own Okta Identity Governance (OIG): entitlement catalog, access certification campaign setup, SoD policy rules, and access request workflow design
• Own, Build and Maintain Okta Lifecycle Management: JML automation rules, HRIS connector configuration, and auto-provisioning and deprovisioning into all connected applications, access review triggers, and automated remediation
• Design, build, and document all Okta-side enhancements including new app onboarding, policy changes, and IGA configuration updates
• Write test cases for all Okta-side changes; execute UAT jointly with the Identity Governance & Operations Analyst before production promotion
• Support Identity Operations Specialist on Tier 2 Okta escalations and Workflow troubleshooting
• Assist Identity Governance & Operations Analyst with OIG campaign configuration and certification reporting

Requirements:

• 4+ years of hands-on Okta administration and engineering experience
• Demonstrated experience with Okta SSO app integrations via SAML 2.0 and OIDC
• Experience with Okta Lifecycle Management and HRIS connector configuration
• Experience building Okta Workflows for provisioning automation
• Experience with Okta Adaptive MFA policy configuration including FIDO2/WebAuthn and hardware token enrollment
• Experience with Okta Universal Directory including AD Agent deployment and profile mastering

Compliance Requirements: this role will be subject to US Federal regulations, therefore:

• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card holder) — U.S. Person 
• Ability to obtain and maintain a security clearance or pass a background investigation consistent with CUI access
  
  

Preferred Qualifications:

• Experience with Okta for Government High (FedRAMP High) or FedRAMP Moderate environments — strong preference
• Okta Identity Governance (OIG) experience — access certifications, SoD, entitlement management
• Experience federating Okta to Microsoft Entra ID / GCCH as a SAML Service Provider
• Familiarity with CMMC, ITAR, GDPR, SOX, SOC 2 compliance requirements
• Experience with SCIM 2.0 provisioning to downstream applications
• Okta Identity Governance certification (preferred)

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Location: This role is based out of our College Park, Boulder, CO, or Bothell, WA offices, or can be remote in the US. 
Travel: Up to 1 week per quarter
Job ID:  1460

*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.

JOB SUMMARY:

The Delivery Engineer | Splunk, will provide technical expertise in providing guidance on levels of effort for configuring, installing, and developing against Splunk: platform for operational intelligence. This position is a customer facing role and will be responsible for delivering project related consulting services to analyze the massive streams of machine data generated by IT systems and technology infrastructure—physical, virtual and in the cloud.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Drive complex deployments and integration of Splunk while working side by side with the customers to solve their unique problems across a variety of use cases.
• Collaborate across the entire organization to bring access to product and technical teams, to get the right solution delivered and drive feature innovation gathered from customer input.
• Leverage previous experiences, share best practices and create innovative solutions to push user adoption and maximize the value of Splunk.
• Collaborate with and enable customers to solve the next wave of questions on their own.
• May perform other duties as assigned by supervisor.

REQUIRED SKILLS AND EXPERIENCE:

• A minimum of 3 years of current experience in technical consulting or big data analytics.
• Ability to quickly explore, examine and understand data from multiple disparate sources and how it relates to the customer’s business.
• Demonstrable understanding of common enterprise applications (especially in the areas of security and finance).
• Experience with both the Unix and Windows operating systems; comfortable on the command line interface.
• Working knowledge and recent experience with scripting languages (bash), application development (java, python, .NET), databases and analytical tools.
• Ability to collaborate with technical and non-technical consumers from IT administrators to executive level stakeholders.
• Well organized with a healthy sense of urgency - able to set, communicate, and meet aggressive deadlines with competing priorities.
• Excellent speaking and customer interaction skills.
• Not required, but a plus: statistical and analytical modeling.
• This is a remote, contract position and eligible candidates must be located in the United States.

EDUCATION / KNOWLEDGE / CERTIFICATIONS

• BA/BS in computer science, computer engineering, finance or mathematics or other related fields
• Splunk Enterprise Certified Admin
• Splunk Enterprise Security Certified Admin
• Splunk Cloud Certified Admin
• Splunk Enterprise Certified Architect 
• Splunk Core Certified Consultant

As a Sr. UC Engineer III, you'll serve as a technical authority for voice, video, and collaboration platforms, contributing immediately as a subject matter expert within a fast-paced operational environment. Success requires deep technical expertise, proactive problem solving, and strong team collaboration. This role provides senior unified communications engineering support for a highly visible, security-sensitive customer.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Work as part of a collaborative, high-performing team delivering technical solutions supporting the highest levels of the federal government.
• Design, implement, and troubleshoot enterprise voice, video, and collaboration (Unified Communications) platforms.
• Configure and support SBCs, voice gateways, dial plans, and QoS to ensure high-quality real-time voice and video traffic.
• Serve as a technical Subject Matter Expert (SME), able to support operational issues with minimal ramp-up time.
• Participate in Agile execution and contribute to collaborative problem-solving efforts.
• Communicate technical issues, risks, and solutions clearly to both technical and non-technical stakeholders.
• Proactively recommend technical improvements and architectural enhancements.
• Actively contribute to team discussions, planning, and continuous improvement initiatives.
• Support mission operations with urgency, accountability, and a strong sense of ownership.
• Demonstrate the ability to contribute immediately in a fast-paced, mission-critical environment.
• Establish and maintain a high level of customer trust and confidence through technical expertise and professionalism.
• Apply creativity and innovation to deliver solutions that best fit customer needs and mission objectives.

What you’ll need to succeed:

• Active U.S. Government Issued Top Secret security clearance (or higher level classification).
• Bachelor’s degree in a technical field is preferred. Relevant experience may substitute for education requirements.
• Possess DoD 8140 certification aligned to the 441 Network Operations Specialist work role, such as Network+, Security+, Cloud+, SSCP, CASP+, CISSP, or CCNP Security.
• 10+ years of experience leading or assisting in review, design, and implementation of network engineering solutions, with deep hands-on expertise supporting enterprise Unified Communications environments.
• Demonstrated subject matter expertise designing, implementing, and troubleshooting complex voice, video, and collaboration platforms, including Cisco Unified Communications Manager, Webex, and Microsoft Teams.
• Hands-on experience supporting session border controllers, voice gateways, call routing, and ensuring Quality of Service for real-time traffic.
• Hands-on experience with VQ Conference Manager, Jabber, Cisco telephony endpoints, and Cisco Expressway.
• Proven ability to troubleshoot and resolve operational voice and video issues in mission-critical environments with minimal ramp-up.
• Ability to contribute immediately in a mission-critical operational environment.

This position is designated as essential personnel supporting continuity of operations and may require work during government shutdowns, emergencies, or other critical situations.

SALARY RANGE: $230,000 - $342,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

• The candidate's professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses

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.

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1516

The Role

At Skyloom, we’re building cutting-edge optical communication systems for space. We’re looking for an Electrical Engineer with a strong hands-on mindset to help test, debug, and validate electronic assemblies (PCBA and Card Circuit Assembly) across development and production.

This role is ideal for an engineer who enjoys working in the lab, solving real hardware problems, and collaborating across disciplines. Experience with complex electronic systems is key, deep aerospace or space background is a plus, but not required.

You’ll work closely with hardware, firmware, optical, manufacturing, and test teams to bring advanced electronic systems from prototypes to flight-ready production.

Responsibilities: 

Hardware Test & Debug

• Test and debug PCBAs and electronic subsystems, including multi-board systems.
• Perform functional and performance testing during development, qualification, and production.
• Support hardware bring-up and troubleshooting using lab instrumentation.

Validation & Production Support

• Verify electrical and functional requirements.
• Support design verification and production acceptance testing.
• Help identify root causes of failures and support corrective actions.
• Contribute to test procedures, acceptance criteria, and production documentation.

Interfaces & Signal Integrity

• Test and validate common communication interfaces (Ethernet, SPI, I²C, UART, etc.).
• Assist with debugging signal integrity issues in high-speed or mixed-signal designs (e.g., SERDES-based links, LVDS, etc.).

Collaboration

• Work cross-functionally with hardware, firmware, optical, manufacturing and AIT teams.
• Support environmental testing activities (thermal, vibration, etc.) as needed.
• Collaborate with international partners to support system integration and testing.

Requirements: 

• Bachelor’s degree in Electrical Engineering or related field.
• 3-6 years of relevant experience (flexible depending on skill set).
• Solid foundation in electrical engineering fundamentals (digital, analog, or mixed-signal).
• Hands-on experience testing or debugging electronic hardware.
• Comfort working in a lab environment using standard test equipment (oscilloscopes, power supplies, logic analyzers, etc.).
• Experience with PCBAs, prototypes, or production hardware.

Preferred Qualifications: 

• Experience in aerospace, defense, or other regulated industries.
• Exposure to optoelectronics, RF, or communication systems.
• Basic scripting or embedded programming (Python, C/C++ or similar languages).
• Interest in growing into more complex system-level testing or aerospace testing roles.
• Lab environment use, such as, power meter and optic spectrum analyzer. 
• Fluency in Spanish with strong written and verbal communication skills.

Compensation 

The approximate base salary range for this position is $110,000 - $115,000. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1434

The Role

We seek a Mechanical Engineer to manage the complete design of aerospace components and subsystems. You will collaborate with structural, thermal, and control engineers to develop hardware meeting performance, mass, and environmental standards. Your role includes translating concepts from sketches to CAD to space-qualified products within the Thermo-Mechanical Team.

Responsibilities

• Lead the mechanical design of components, enclosures, and assemblies for space applications.
• Create detailed 3D CAD models and 2D manufacturing drawings with appropriate GD&T, using CAD software.
• Improve drive design for weight, stiffness, manufacturability, and ease of integration.
• Collaborate with other disciplines—mainly thermal, structural analysis, control, electronic, and optics subsystems—to ensure system-level requirements are met.
• Support integration, manufacturing, and assembly, including interactions with suppliers and participating in design reviews.
• Procure mechanical parts from COTs or use manufactured components.
• Assist in prototype builds, fit checks, and environmental testing (vibration, TVAC, thermal cycling).
• Manage configuration control and documentation throughout the design lifecycle.
• Contribute to or participate in PDR/CDR reviews and technical trade studies.

Required Qualifications

• Mechanical Engineering, Aerospace Engineering, or a related engineering discipline
• 3-6+ years of experience in mechanical design, ideally in aerospace or high-performance hardware.
• Advanced proficiency in CAD tools (NX, SolidWorks, or equivalent), working with complex assemblies.
• Strong understanding of materials, tolerancing, and manufacturing processes (CNC, sheet metal, composites, additive manufacturing).
• Familiarity with design for manufacturability principles and mechanical interfaces.
• Proficiency with GD&T standards, ISO or ASME
• Basic understanding of thermal and structural considerations in space hardware.
• Experience collaborating with various disciplines.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Skyloom employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Preferred Qualifications

• Experience designing space mechanisms (deployment systems, actuators, or hinges).
• Hands-on experience with testing, integration, or cleanroom assembly.
• Competence in FEM for structural analysis and a solid understanding of static and dynamic analysis.
• Knowledge of ECSS/NASA standards for mechanical design and verification.
• Basic scripting (Python, MATLAB) for data processing.
• Familiarity with PLM and ERP tools
• Spanish proficiency

The approximate base salary range for this position is $110,088 - $122,321. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

We are looking for a Senior Mask Layout Engineer on the Fab Tapeout and Validation Team. As a Senior Mask Layout Engineer, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will be the owner of full-reticle tapeouts for use in trapped-ion quantum computers, which could include both photonic and analog electronic layers. In addition, you will help develop and maintain the internal PDK and circuit layout libraries, as well as write scripts to automate the layout of masks for tapeouts. You will also have the opportunity to work closely with the photonic and ion trap design and testing teams to help develop new and game-changing quantum technology to enable scalable quantum computing, memory, and networking.

The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 

Responsibilities:

• Conduct Python-based layout for full-reticle tapeouts with commercial foundries
• Develop and maintain internal component PCell and automated circuit layout libraries
• Interface with designers, test engineers, packaging engineers, and foundry team to define layout rules and component designs 
• Implement physical verification checks of layouts, including DRC and LVS
• Develop detailed documentation of tapeouts and lead layout reviews with other team members 
• Work with cross-functional teams to understand circuit requirements and make recommendations to improve design, layout, and test workflows

You’d be a good fit with:

• Bachelor’s degree in Photonics, Physics, Electrical Engineering, or related field, or equivalent practical experience
• Knowledge of semiconductor manufacturing processes and techniques
• Excellent programming and software skills, including development in an IDE, proficiency with version control software, shell scripting, and code documentation
• 2+ years of experience with Python-based mask layout software packages such as Luceda IPKISS, GDSFactory, or Klayout
  
  

You’d be a great fit with:

• M.S. or Ph.D. in Photonics, Physics, Electrical Engineering, or related field
• 5+ years experience in generating layout files for complex semiconductor flows with custom elements, such as MEMS, integrated photonics, or superconducting circuits
• Past ownership of full-reticle tapeouts with commercial foundries
• Experience with commercial simulation, verification, and layout environments such as Synopsys, Cadence, and Ansys
• Familiarity with photonic and/or analog electronic device principles including design, test, and fabrication
• Proficiency in physical verification including DRC, LVS, and ERC
• Experience with semiconductor and/or photonic workflows for tapeout with commercial foundries
• Excellent verbal and written communication skills
• A meticulous attention to detail and excellent track record of documenting requirements, implementation plan, and tracking progress
• Ability to work independently, prioritizing tasks and managing time effectively in a deadline-oriented environment

Location: The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 
Travel: Up to 10%
Job ID: 1303

The approximate base salary range for this position is $110,336 - $144,459.  The total compensation package includes base, bonus, and equity.

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.

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  552 (1449)


The Role

As a System Engineer, you are expected to oversee and drive the conceptual and architectural design of Skyloom´s products, ensuring successful delivery aligned with business priorities. You will interact with various stakeholders to manage projects and product portfolios, fostering collaboration among cross-functional teams and acting as the primary contact for product-related inquiries and decisions.

Responsibilities

• Manage budgets: link, pointing, power, mass, and time allocations 
• Oversee memory, physical configuration, and other system parameters.
• Define system architectures, interfaces, manage requirements definition, flow downs and traceability.
• Identify key requirements for each subsystem.
• Negotiate requirements between subsystems and perform trade-off analyses to optimize system performance.
• Promote comprehensive requirement definition for subsystems.
• Develop system and subsystem validation and verification (V&V) strategies.
• Empower and lead system teams, encouraging Systems to take ownership of initiatives and tasks.
• Lead decision-making processes and trade-off analyses. 
• Review and reach consensus on subsystem schedules, understanding dependencies and inter-team interactions.
• Approve required tasks for each subsystem, estimating time and resource allocations.
• Conduct internal design reviews (similar to Critical Design Reviews) to ensure interface requirements are met.
• Provide training and knowledge-sharing opportunities for Systems teams through internal courses or presentations.
• Ensure subsystems define their design processes and perform flow-down of system requirements to lower-level subsystems (typically L3 to L4 and below).
• Prepare typical documentation packages for each project phase and support project budgeting.
• Oversee the organization of Systems teams, whether structured per project or product (e.g., OCTs, OGS), with designated responsible leaders for each subsystem.
• Establish clear procedures and processes, enforce their use, and continuously improve system engineering practices.

Required Qualifications

• Bachelor’s degree in systems engineering, Electrical Engineering, Computer Science, or a related field.
• Strong understanding of systems engineering principles and product management.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Skyloom employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Preferred Qualifications

• Master's degree in a related field.
• Experience with disruptive technologies and product development.
• Familiarity with regulatory compliance standards and quality assurance processes.
• Excellent communication skills and proven ability to engage with cross-functional teams.
• Fluency in English, with strong written and verbal communication skills.
• Availability to travel to USA

Compensation 

The approximate base salary range for this position is $112,040 - $140,050. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete—or if working on space lasers excites you—join our team to develop the future generation of space communication technology.

Location: This role will be on-site at our Broomfield, Colorado, office. 
Travel: Up to 5%
Job ID:  1446

The Role

The System Integration & Test Engineer is responsible for executing subsystem- and system-level integration and test activities across a range of hardware and software complexities. This role ensures that individual components and fully integrated systems perform according to requirements through structured verification and validation processes.

This position requires a strong combination of hands-on testing capability, systems thinking, and software/scripting proficiency to support automated testing, data acquisition, and analysis. The engineer will work closely with electrical, mechanical, optical, and software teams to troubleshoot issues, validate performance, and improve system reliability.

Responsibilities 

•  Execute subsystem and system-level test campaigns (functional, performance, environmental, acceptance)
• Develop and execute test plans and procedures from requirements
• Support system integration across electrical, mechanical, optical, and software domains
• Troubleshoot integration and test anomalies
• Monitor and analyze test data in real time
• Develop and maintain test scripts and automation tools
• Support hardware-in-the-loop (HIL) systems
• Prepare and support TRR and TRB reviews
• Ensure documentation, traceability, and configuration control
• Improve test processes and infrastructure

Qualifications

• Experience with integration and testing of complex hardware systems
• Experience with oscilloscopes, signal generators, spectrum analyzers, power supplies, DAQ systems
• Troubleshooting of analog, digital, and mixed-signal systems
• Strong scripting skills (Python, MATLAB or similar)
• Data acquisition and analysis experience
• Ability to read schematics and engineering drawings
• Strong problem-solving and communication skills
• Bachelor’s or advanced degree in Engineering (Electrical, Mechanical, Aerospace or similar)
• Minimum 3 years of relevant experience

Preferred Qualifications

•  Experience with automated test frameworks
• Linux and embedded systems familiarity
• Requirements-to-test translation experience
• Aerospace or defense background
• Spanish language skills

Compensation 

The approximate base salary range for this position is $90,000 - $100,00. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

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. 

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

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

Position Overview

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

You Will: Key Responsibilities & Impact

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

You Have: Required Skills & Qualifications

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

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

Our Benefits & Perks

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

🏥 Health & Wellbeing

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

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

💰 Financial Security & Growth

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

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

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

👨‍👩‍👧‍👦 Time Away & Family Support

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

💻 Workplace Flexibility

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

Why You’ll Love Working Here

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

Belonging at LivePerson: Equal Opportunity Employer

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

Accessibility Commitment

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

Important Candidate Notice

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

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

Who we are:

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

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

About the role:

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

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

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

What you’ll do:

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

What we are looking for:

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

Highly preferred:

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

What success looks like:

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

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

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

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

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

Who we are:

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

About the role: 

As a Cyber Security Engineer, you will be responsible for architecting, planning, configuring, deploying, maintaining, and upgrading COTS/GOTS and custom toolsets to address vulnerabilities and/or implement security controls in order to secure DoD Risk Management Framework (RMF) cybersecurity approvals. You will apply a combination of expert engineering knowledge of enterprise IT and security solutions to design, develop and/or implement solutions to ensure they are consistent with enterprise architecture security policies and support full spectrum military cyberspace operations.

What you will do:

• Design, test, and implement secure operating systems, networks, security monitoring, tuning and management of IT security systems and applications, incident response, digital forensics, loss prevention, and eDiscovery actions
• Security control design and solution planning at the system, mission, and enterprise level, security-in-depth/defense-in-depth, and other related IAM/ISSO/ISSE support functions
• Involved in a wide range of security issues including architectures, firewalls, electronic data traffic, and network

What We Are Looking For 

• Bachelor’s degree with 14+ years of related experience, or Master’s degree with 12+ years, or PhD with 9+ years. Experience with cloud-native cybersecurity (i.e. Amazon Web Services and Microsoft Azure)
• Experience with cyber capabilities, TS clearance with SCI eligibility, applicable security training and certificates, cyberspace operations tactics, crisis action planning, and analytical methodologies

Highly Preferred

• Experience supporting DoD, federal, or classified software programs
• Familiarity with systems engineering processes and documentation
• Exposure to DevSecOps, CI/CD pipelines, or modern software delivery practices
• Experience with DoD cloud environments and processes
• Mentorship of junior engineers or informal technical leadership experience

Clearance Requirements:

• Active Top Secret with SCI 

Work Type:

• Onsite in Colorado Springs, CO 
• May require up to 15% travel

Salary Range: $140,000 - $170,000

• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you:

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

Our Vision Statement: 

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

Our Customer Obsession: 

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

How do we get there? 

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

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

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

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.