Explore 4 devops software developer jobs from 2 hiring companies in Honolulu, HI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

devops-software-developer

Devops Software Developer

Kalihi Valley

Kaimukī

Aliamanu / Salt Lake / Foster Village

Joint Base Pearl Harbor Hickam

Palolo

Kaneohe

Niu Valley

East Honolulu

Pearl City

Kailua

Hawai‘i Kai

Waipahu

Makakilo / Kapolei / Honokai Hale

Devops Software Developer Jobs

Raft

Bishop Museum

Remote

Onsite

Principal Software Engineer - Careers At Bishop Museum	

	

	

	


	
	
	

	
	
	

		 							
	 
		
	
	
	
	
	
	













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



<div><div><a href="https://apply.hrmdirect.com/resumedirect/ApplyOnline/Apply.aspx?req_id=3680234&source=3680234-CJB-0">START YOUR APPLICATION</a></div><div></div></div>


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


Job Purpose

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. 

Duties and Responsibilities

Platform Architecture & System Design

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

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

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

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

Database & Data Model Development

<ul>
	<li>
	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. 
	</li>
</ul>

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

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

APIs & Interoperability Standards

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

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

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

Frontend & User Experience Support

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

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

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

Security, Reliability & Preservation

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

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

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	Establish digital preservation strategies supporting long-term sustainability, fixity checking, version tracking, and archival integrity. 
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DevOps, Deployment & Maintenance

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

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	Monitor system performance, uptime, and error reporting; optimize platform stability and load handling. 
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	Produce and maintain documentation covering system architecture, workflows, APIs, and maintenance strategies. 
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Collaboration & Community Engagement

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

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	Represent technical components of the platform in meetings, workshops, and collaborative projects. 
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	Train staff and community users on new tools, APIs, and workflows. 
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</ul>

Qualifications

Required Qualifications:

<ul>
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	Bachelor�s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 
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	Minimum of 5 years of experience building and deploying largescale web platforms or data intensive systems. 
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</ul>

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	Expertise with relational databases (PostgreSQL preferred) and database modeling. 
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	Strong experience with backend development (Node.js, Python, Java, or equivalent). 
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</ul>

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

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

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

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

Preferred Qualifications:

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

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

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

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

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

Other Requirements

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

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

Direct Reports

None

Working Conditions

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

Physical Requirements

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. 


Disclaimer

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.

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. 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.

Equal Opportunity Employer

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.
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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 class="content-intro">This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.</div>Who we are:
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.
We’re looking for an experienced Principal ML Ops&nbsp;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.
<h3>What you’ll do:</h3>
<ul>
<li 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</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Build and maintain CI/CD workflows for ML services, model artifacts, and platform components</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Improve observability, reliability, security, and maintainability across ML infrastructure and services</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support compliance-driven deployment practices and secure software supply chain requirements in defense environments</li>
<li 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</li>
</ul>
 What we are looking for:
<ul>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">5+ years of experience with Docker and Kubernetes in production environments</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Practical experience deploying machine learning workloads on Kubernetes</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience managing clusters or workloads that use GPUs</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong understanding of Helm and Kubernetes deployment patterns</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong scripting or programming skills, preferably in Python</li>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Strong troubleshooting, systems thinking, and communication skills</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to work independently and collaboratively in a fast-moving environment</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to obtain and maintain a Top Secret clearance</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to obtain Security+ certification within the first 90 days of employment</li>
</ul>
Highly preferred:
<ul>
<li 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</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with secure and compliant deployment practices in regulated or government environments</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with Kubernetes-based ML platforms such as Kubeflow</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with service mesh technologies such as Istio</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience provisioning and debugging complex CI/CD systems</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience with infrastructure as code tools such as Terraform</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Background working with machine learning engineers on model training, evaluation, packaging, and release workflows</li>
<li 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</li>
</ul>
<h3>What success looks like:</h3>
<ul>
<li 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</li>
<li 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</li>
<li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Model deployments become more secure, observable, and supportable across real-world mission environments</li>
<li 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</li>
</ul>
Clearance Requirements:
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to obtain and maintain a Top Secret clearance&nbsp;</li>
</ul>
Work Type:&nbsp;
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">May require up to 40% travel </li>
</ul>
Salary Range: $150,000.00 - $200,000.00
What we will offer you: 
<ul>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Highly competitive salary</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Fully covered healthcare, dental, and vision coverage</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">401(k) and company match</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Take as you need PTO + 11 paid holidays</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Education &amp; training benefits</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Annual budget for your tech/gadgets needs</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Monthly box of yummy snacks to eat while doing meaningful work</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Remote, hybrid, and flexible work options</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Team off-site in fun places!</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Generous Referral Bonuses</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">And More!</li>
</ul>
Our Vision Statement:&nbsp;
We bridge the gap between humans and data through radical transparency and our obsession with&nbsp;the&nbsp;mission.&nbsp;
Our Customer Obsession:&nbsp;
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?&nbsp;
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;
Raft’s core philosophy is&nbsp;Ubuntu: I&nbsp;Am, Because&nbsp;We are. We support our&nbsp;“nadi”&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;<div class="content-conclusion">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.</div>

Principal MLOps Engineer

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.

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.

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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