Explore 5 python cloud platform developer jobs from 3 hiring companies in Manoa, HI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Principal Software Engineer - Careers At Bishop Museum	

	

	

	


	
	
	

	
	
	

		 							
	 
		
	
	
	
	
	
	













						
				
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										<p>Career Opportunities with Bishop Museum</p>
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				<div>Careers At Bishop Museum</div>								
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		<h2>Principal Software Engineer</h2>	
	
	
			
		
		      			      	<b>Department:</b>
					79 INF-Informatics		      					
		      			      	<b>Location:</b>
					HONOLULU, HI<br />					
		      		      		      		      		      		      		



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		<div><p><strong>Employment Type: Full-Time, Salary, Non-Exempt<br />
Temporary/Permanent: Permanent<br />
Deadline to Apply: This application will remain open until 11:59pm on Tuesday, April 7, 2026.<br />
Rate of Pay: $72,000.00 - $92,000.00, commensurate with experience. This wage band is set and not subject to negotiation.</strong></p>


<p><strong>Job Purpose</strong></p>

<p>The Principal Software Engineer will lead the design, development, and deployment of digital platforms supporting museum collections, research-driven data services, and scientific registries, including ZooBank, the official registry of zoological nomenclature. This position is responsible for architecting a modern, stable, and futureproof digital infrastructure that supports global research workflows, persistent identifiers, open data standards, and high availability public access. The Systems Engineer will design backend services, APIs, database structures, search indexing, authentication layers, and a new public facing interface capable of supporting researchers, curators, taxonomists, publishers, collection managers, and the broader scholarly community. This role is central to transforming legacy systems into robust, scalable, and sustainable digital platforms that meet international standards for scientific data management, long-term preservation, and open science. </p>

<p><strong>Duties and Responsibilities</strong></p>

<p>Platform Architecture & System Design</p>

<ul>
	<li>
	<p>Design and build a completely new online framework for a museum or research registry platform, including backend architecture, relational databases, and scalable web services. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Develop system requirements in consultation with domain experts, curators, researchers, IT leadership, and external partners. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Architect solutions that ensure high availability, strong performance, and long-term sustainability for globally significant scientific and collections data. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Implement secure, modular, API driven infrastructure capable of integrating with publishers, journals, collection management systems, aggregators, and external registries. </p>
	</li>
</ul>

<p>Database & Data Model Development</p>

<ul>
	<li>
	<p>Design a modernized database schema to support collections data such as objects or specimens, scientific names or concepts, authors and agents, publications, events, and persistent identifiers. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Migrate legacy data into the new platform with careful attention to data integrity, provenance, versioning, citations, and audit trails. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Implement automated quality checks, validation rules, and monitoring tools to ensure accuracy, consistency, and trustworthiness of records. </p>
	</li>
</ul>

<p>APIs & Interoperability Standards</p>

<ul>
	<li>
	<p>Develop RESTful APIs to support machine-readable access, system integrations, and automated submission or registration workflows. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Implement interoperability using community and research data standards (e.g., Darwin Core, Dublin Core, GBIF standards, DOI/PID frameworks, ORCID). </p>
	</li>
</ul>

<ul>
	<li>
	<p>Ensure the platform fully supports persistent identifiers (ARK, DOI, LSID, or successor PID technologies) for long-term reference and citation. </p>
	</li>
</ul>

<p>Frontend & User Experience Support</p>

<ul>
	<li>
	<p>Collaborate with UX/UI designers to build an intuitive, modern public facing portal enabling search, browsing, submission, curation, and data export. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Implement efficient search indexing (e.g., Elasticsearch, Solr) optimized for scholarly queries and high volume access. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Ensure accessibility, responsive design, and WCAG compliance across user interfaces. </p>
	</li>
</ul>

<p>Security, Reliability & Preservation</p>

<ul>
	<li>
	<p>Implement secure authentication, role-based access controls, and audit trails for sensitive, curated, or controlled submissions. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Build redundancy, backup routines, and disaster recovery procedures to ensure uninterrupted public and research access. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Establish digital preservation strategies supporting long-term sustainability, fixity checking, version tracking, and archival integrity. </p>
	</li>
</ul>

<p>DevOps, Deployment & Maintenance</p>

<ul>
	<li>
	<p>Manage cloud infrastructure, containerization, and CI/CD pipelines for continuous integration and deployment. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Monitor system performance, uptime, and error reporting; optimize platform stability and load handling. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Produce and maintain documentation covering system architecture, workflows, APIs, and maintenance strategies. </p>
	</li>
</ul>

<p>Collaboration & Community Engagement</p>

<ul>
	<li>
	<p>Work with researchers, curators, publishers, data networks, and open science partners to align platform functionality with community needs. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Represent technical components of the platform in meetings, workshops, and collaborative projects. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Train staff and community users on new tools, APIs, and workflows. </p>
	</li>
</ul>

<p><strong>Qualifications</strong></p>

<p>Required Qualifications:</p>

<ul>
	<li>
	<p>Bachelor�s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). </p>
	</li>
</ul>

<ul>
	<li>
	<p>Minimum of 5 years of experience building and deploying largescale web platforms or data intensive systems. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Expertise with relational databases (PostgreSQL preferred) and database modeling. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Strong experience with backend development (Node.js, Python, Java, or equivalent). </p>
	</li>
</ul>

<ul>
	<li>
	<p>Experience architecting APIs and integrating with external systems. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Experience implementing search technologies (Elasticsearch, OpenSearch, Solr). </p>
	</li>
</ul>

<ul>
	<li>
	<p>Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker), and CI/CD workflows. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Experience building secure, high availability, high throughput systems. </p>
	</li>
</ul>

<p>Preferred Qualifications:</p>

<ul>
	<li>
	<p>Experience with museum, library, or research data systems, biodiversity informatics, or scientific data standards. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Familiarity with global identifier systems (DOI, ORCID, ARK, LSID). </p>
	</li>
</ul>

<ul>
	<li>
	<p>Knowledge of collections management, taxonomy, nomenclature, or natural science data structures. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Familiarity with semantic web technologies, linked data, or ontology management. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Experience with long-term digital preservation strategies and digital repositories.</p>
	</li>
</ul>

<p><strong>Other Requirements</strong></p>

<ul>
	<li>
	<p>The position is based on O�ahu and requires regular, on-site presence for leadership and coordination of Museum operations. </p>
	</li>
</ul>

<ul>
	<li>
	<p>Must be willing to work a flexible schedule, including evenings and weekends, to meet the needs of the organization and respond to operational priorities.</p>
	</li>
</ul>

<p><strong>Direct Reports</strong></p>

<p>None</p>

<p><strong>Working Conditions</strong></p>

<p>Occasional evening or weekend work may be required to support system maintenance, releases, and ensure reliable, uninterrupted operation of websites and systems.</p>

<p><strong>Physical Requirements</strong></p>

<p>This position primarily involves sedentary work in an office environment and requires extended periods of sitting, working at a computer, and performing repetitive hand and wrist movements associated with typing and use of standard office equipment. The role requires effective communication, including speaking and hearing, and sufficient visual acuity to perform detailed computer-based work. Occasional standing, walking, and movement between work areas may be required, as well as the ability to lift and carry materials weighing up to 15 pounds. </p>


<p><strong>Disclaimer</strong></p>

<p>The above statements are intended to describe the general nature and level of work being performed by incumbents assigned to this job. This is not intended to be an exhaustive list of all the responsibilities, duties and skills required. The incumbent may be expected to perform other duties as assigned.</p>

<p>Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@bishopmuseum.org or 808-848-4107 if you require a reasonable accommodation to apply for a job or to perform your job. <em>Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</em></p>

<p><strong>Equal Opportunity Employer</strong></p>

<p>We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship or immigration status, color, disability, ethnicity, familial status, gender identity and/or expression, genetic information, marital status, national origin, race, religion, sex, sexual orientation, veteran status, or any other protected status.</p>
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Principal Software Engineer

Lead design, development, and deployment of digital platforms; architect APIs; ensure high availability; experience with databases, APIs, cloud, and DevOps.

<div><span style="font-size: 16px">At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</span></div><div><br></div><div><span style="font-size: 16px">Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.</span></div><div><br></div><div>Requisition #: 1456 </div><div>Job Tittle: Data Engineer</div><div>Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL </div><div>Clearance: Active DoD Top Secret (or ability to obtain) </div><div>Citizenship: U.S. Citizenship required</div><div><br></div><div>Role Summary</div><div><br></div><div>Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div><div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div><div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><div><br></div><div>Key Objectives</div><div><br></div><div>Objective 1: Design and Maintain Scalable Data Science Services</div><div>· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.</div><div>· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.</div><div>· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.</div><div>· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.</div><div><br></div><div>Objective 2: Build and Operationalize AI/ML Solutions</div><div>· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.</div><div>· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).</div><div>· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.</div><div>· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.</div><div><br></div><div>Objective 3: Perform Exploratory Data Analysis and Communicate Insights</div><div>· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.</div><div>· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.</div><div>· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.</div><div>· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.</div><div><br></div><div>Objective 4: Collaborate Across Teams to Deliver Mission Impact</div><div>· Engage with product managers and mission users to define data and model requirements aligned with operational goals.</div><div>· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.</div><div>· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.</div><div>· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.</div><div><br></div><div>Minimum Qualifications</div><div><br></div><div>· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience</div><div><br></div><div>Preferred Skills and Experience</div><div><br></div><div>· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.</div><div>· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</div><div>· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).</div><div>· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</div><div>· Strong understanding of data validation, model testing, and performance evaluation techniques.</div><div>· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.</div><div>· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</div><br/><br/>Requisition #: 1456 
Job Tittle: Data Engineer
Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL 
Clearance: Active DoD Top Secret (or ability to obtain) 
Citizenship: U.S. Citizenship required

Role Summary

Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Key Objectives

Objective 1: Design and Maintain Scalable Data Science Services
· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.
· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.
· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.
· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.

Objective 2: Build and Operationalize AI/ML Solutions
· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.
· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).
· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.
· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.

Objective 3: Perform Exploratory Data Analysis and Communicate Insights
· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.
· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.
· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.
· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.

Objective 4: Collaborate Across Teams to Deliver Mission Impact
· Engage with product managers and mission users to define data and model requirements aligned with operational goals.
· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.
· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.
· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.

Minimum Qualifications

· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience

Preferred Skills and Experience

· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
· Strong understanding of data validation, model testing, and performance evaluation techniques.
· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
<br/><br/><div><span style="font-size: 16px">Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.&nbsp;</span></div><div><br></div><div><span style="font-size: 16px">What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</span></div><div><br></div><div><span style="font-size: 16px">We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.</span></div><div><br></div><div><b style="font-size: 16px">Happy&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Infectious.</u></div><div><span style="font-size: 16px">Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</span></div><div><br></div><div><b style="font-size: 16px">Helpful</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Supportive.</u></div><div><span style="font-size: 16px">Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</span></div><div><br></div><div><b style="font-size: 16px">Honest</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Trustworthy.</u></div><div><span style="font-size: 16px">Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</span></div><div><br></div><div><b style="font-size: 16px">Humble</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Grounded.</u></div><div><span style="font-size: 16px">Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</span></div><div><br></div><div><b style="font-size: 16px">Hungry&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Eager.</u></div><div><span style="font-size: 16px">Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</span></div><div><br></div><div><b style="font-size: 16px">Hustle</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Driven.</u></div><div><span style="font-size: 16px">Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</span></div><div><br></div><div><b style="font-size: 16px">Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>

Data Engineer

3+ years in data science, data engineering, or related field; strong Python, SQL, Spark, and ML tooling; experience with cloud data platforms; ability to work in DoD environment.

<div class="content-intro"><p><strong>This is a U.S. based position. All of the programs we support require </strong><strong>U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.</strong></p></div><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Who we are:</strong></span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Raft (<a class="theme markdown__link" href="https://teamraft.com/" target="_blank">https://TeamRaft.com</a>) 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.</span></p>
<p class="p1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">We’re looking for an experienced <strong>Principal ML Ops&nbsp;Engineer </strong>to support our customers and join our passionate team of high-impact problem solvers.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>About the role: </strong></span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p>
<h3><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">What you’ll do:</span></h3>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Build and maintain CI/CD workflows for ML services, model artifacts, and platform components</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Improve observability, reliability, security, and maintainability across ML infrastructure and services</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support compliance-driven deployment practices and secure software supply chain requirements in defense environments</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Get hands-on with customers at the most forward-leaning places in the Department of War</span></li>
</ul>
<p><br><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>What we are looking for:</strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">5+ years of experience with Docker and Kubernetes in production environments</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Practical experience deploying machine learning workloads on Kubernetes</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience managing clusters or workloads that use GPUs</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong understanding of Helm and Kubernetes deployment patterns</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong scripting or programming skills, preferably in Python</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong troubleshooting, systems thinking, and communication skills</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to work independently and collaboratively in a fast-moving environment</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to obtain and maintain a Top Secret clearance</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to obtain Security+ certification within the first 90 days of employment</span></li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Highly preferred:</strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with secure and compliant deployment practices in regulated or government environments</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with Kubernetes-based ML platforms such as Kubeflow</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with service mesh technologies such as Istio</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience provisioning and debugging complex CI/CD systems</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with infrastructure as code tools such as Terraform</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Background working with machine learning engineers on model training, evaluation, packaging, and release workflows</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system</span></li>
</ul>
<h3><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">What success looks like:</span></h3>
<ul>
<li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production</span></li>
<li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use</span></li>
<li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Model deployments become more secure, observable, and supportable across real-world mission environments</span></li>
<li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership</span></li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Clearance Requirements:</strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Ability to obtain and maintain a Top Secret clearance&nbsp;</span></li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Work Type:&nbsp;</strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI <strong>Locations ONLY</strong></span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">May require up to 40% travel<br></span></li>
</ul>
<p><strong><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Salary Range: $150,000.00 - $200,000.00</span></strong></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>What we will offer you: </strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Highly competitive salary</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Fully covered healthcare, dental, and vision coverage</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">401(k) and company match</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Take as you need PTO + 11 paid holidays</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Education &amp; training benefits</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Annual budget for your tech/gadgets needs</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Monthly box of yummy snacks to eat while doing meaningful work</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Remote, hybrid, and flexible work options</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Team off-site in fun places!</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Generous Referral Bonuses</span></li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">And More!</span></li>
</ul>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Our Vision Statement:&nbsp;</strong></span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">We bridge the gap between humans and data through radical transparency and our obsession with&nbsp;the&nbsp;mission.&nbsp;</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Our Customer Obsession:</strong>&nbsp;</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>How do we get there?</strong>&nbsp;</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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,&nbsp;and collaboration is a norm.&nbsp;</span></p>
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Raft’s core philosophy is&nbsp;<strong>Ubuntu: I&nbsp;Am, Because&nbsp;We are</strong>. We support our&nbsp;<em>“nadi”</em>&nbsp;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.&nbsp;</span></p><div class="content-conclusion"><p><strong>We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</strong></p></div>

Principal MLOps Engineer

ML Ops Engineer

7+ yrs software/platform/DevOps/MLOps; 5+ yrs Docker/Kubernetes; 5+ yrs enterprise cloud (AWS/Azure); strong Kubernetes, Python; CI/CD; security and compliance; Top Secret clearance eligible.

MLOps Engineer

7+ years in software/DevOps/ML/Platform roles; 5+ years Docker/Kubernetes in production; 5+ years cloud (AWS/Azure); Kubernetes GPU clusters; ML platform experience; Top Secret clearance possible.

Principal ML Ops Engineer

7+ years in software engineering, platform engineering, DevOps, or related roles; 5+ years Docker/Kubernetes in production; 5+ years cloud infra (AWS/Azure); strong Kubernetes, CI/CD, Python; Top Secret clearance eligibility and Security+ within 90 days; ability to work remotely with travel.

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