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Linux System Engineer Jobs in Rhode Island (NOW HIRING)

Job Summary : SEACORP is seeking to fill a Software Engineer - AI positionto support the ... Familiarity with Linux command-line operations, shell scripting, package management, system ...

... in radar systems engineering, design, analysis and/or test. * Familiarity with C/C++, Java, and/or Python is desirable. * Experienced in Linux frameworks, modern message protocols, network ...

DevOps Engineer

Middletown, RI · On-site

$52.50 - $72/hr

Candidate would administer server-based systems, security devices, distributed applications ... Linux and/or Windows versions is necessary. As a requirement of employment, all SEACORP employees ...

Develop system interconnect diagrams and wire harnesses that connect electronic equipment within an ... Modify or develop applications using technologies such as C++ (Linux), Java, MATLAB, Python ...

Cybersecurity Engineer

Middletown, RI · On-site

$58K - $90K/yr

... Engineering & Analysis, and Training. * Participate in Cybersecurity assessments to include ... MS Windows 10 and Server operating systems and UNIX/Linux, Solaris, VMware, Real-Time Operating ...

Cybersecurity Engineer

Middletown, RI · On-site

$58K - $90K/yr

... Mission Support, Engineering & Analysis, and Training. Responsibilities * Participate in ... MS Windows 10 and Server operating systems and UNIX/Linux, Solaris, VMware, Real-Time Operating ...

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Showing results 1-20

Linux System Engineer information

See Rhode Island salary details

$10

$50

$68

How much do linux system engineer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for linux system engineer in Rhode Island is $50.30, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $56.49 per hour, depending on experience, location, and employer.

What is the difference between Linux System Engineer vs Linux Administrator?

AspectLinux System EngineerLinux Administrator
CertificationsLinux Professional Institute (LPIC), CompTIA Linux+LPIC, CompTIA Linux+
Work EnvironmentDesigns, develops, and implements Linux systems, often in complex or large-scale environmentsMaintains, monitors, and supports existing Linux systems in daily operations
ResponsibilitiesSystem architecture, scripting, troubleshooting, and optimizationSystem setup, user management, backups, and routine maintenance
Industry UsageIT, cloud services, data centers, enterprise solutionsIT support, network management, server administration

While both roles require Linux certifications and involve working with Linux systems, Linux System Engineers focus on designing and developing Linux infrastructure, whereas Linux Administrators handle daily maintenance and support tasks. The roles often overlap but differ mainly in scope and complexity.

What are Linux System Engineers?

Linux System Engineers are IT professionals who specialize in designing, implementing, maintaining, and troubleshooting Linux-based computer systems and servers. They manage system configurations, install and update software, monitor system performance, and ensure security and reliability. These engineers often automate tasks using scripting languages like Bash or Python and may also configure networks, storage, and cloud environments. Their expertise is critical for organizations that rely on Linux infrastructure for web hosting, application deployment, or enterprise operations.

What are some typical challenges Linux System Engineers face when managing large-scale server infrastructures?

Linux System Engineers often encounter challenges related to maintaining system uptime, ensuring security, and managing configuration consistency across a large number of servers. Troubleshooting complex issues can require in-depth knowledge of Linux internals and scripting to automate repetitive tasks. Additionally, collaborating with development and operations teams to ensure smooth deployment of updates and new services is crucial, as is staying updated with rapid changes in open-source technologies.

What Does a Linux System Engineer Do?

As a Linux system engineer, your job duties include designing, implementing, troubleshooting, and monitoring programs created through the Linux system. You handle performance issues, ensure that the company has the proper network infrastructure, and develop new programs and tools for the company. You collaborate with team members to build applications that help others get the most out of the available infrastructure. A Linux system engineer also installs applications and uses software tools and IP network technologies to resolve issues and monitor program performance.

What are the key skills and qualifications needed to thrive as a Linux System Engineer, and why are they important?

To thrive as a Linux System Engineer, you need in-depth knowledge of Linux operating systems, scripting languages (such as Bash or Python), and experience with system administration or a related degree. Familiarity with configuration management tools (like Ansible or Puppet), virtualization platforms, cloud services, and relevant certifications (such as RHCE or CompTIA Linux+) is highly beneficial. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing complex systems and collaborating with technical teams. These abilities ensure reliability, security, and efficient operation of critical IT infrastructure.
What are the most commonly searched types of Linux System Engineer jobs in Rhode Island? The most popular types of Linux System Engineer jobs in Rhode Island are:
What are popular job titles related to Linux System Engineer jobs in Rhode Island? For Linux System Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Linux System Engineer jobs in Rhode Island look for? The top searched job categories for Linux System Engineer jobs in Rhode Island are:
Infographic showing various Linux System Engineer job openings in Rhode Island as of June 2026, with employment types broken down into 100% Full Time. Highlights an 55% In-person, 27% Hybrid, and 18% Remote job distribution, with an average salary of $104,619 per year, or $50.3 per hour.
Software Engineer IV - AI

Software Engineer IV - AI

SEACORP

Middletown, RI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

SEACORP is seeking a well-qualified Software Engineer IV - AI.
Primary Duties and Responsibilities:
Job Summary: SEACORP is seeking to fill a Software Engineer - AI positionto support the development, integration, testing, and sustainment of modern USNavy software systems using advanced AI-assisted software engineeringworkflows. This position is intended for highly capable software engineers whoare proficient not only in software development fundamentals, but also inleveraging AI-enabled development tools to accelerate delivery, improve codequality, automate repetitive tasks, and enhance engineering productivity acrossthe software lifecycle. The ideal candidate understands how to effectively utilizeAI coding assistants, agentic software engineering workflows, and moderndeveloper tooling to support requirements analysis, software implementation,testing, debugging, refactoring, documentation generation, and codebasecomprehension. This role requires strong engineering judgment and the abilityto balance AI-generated outputs with sound software engineering principles,architecture awareness, maintainability, and operational reliability.
Job Responsibilities Include:
  • Develop, integrate, test, and maintain software applications using modern AI-assisted software engineering workflows.
  • Utilize AI development tools such as Cursor, Claude Code, OpenAI Codex, Continue.dev, and related technologies to improve software engineering productivity and effectiveness.
  • Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments.
  • Implement software solutions in Java and related technologies while applying secure coding practices and software engineering best practices.
  • Utilize Git, GitLab, and Atlassian collaboration tools to support source control, issue tracking, code reviews, sprint execution, and software delivery workflows.
  • Support AI-assisted code generation, debugging, test generation, refactoring, and documentation activities while validating outputs for correctness, maintainability, and security.
  • Work within large and complex codebases while leveraging AI tooling to improve software comprehension, navigation, and development efficiency.
  • Support CI/CD-driven software engineering workflows and automated testing approaches.
  • Assist with the evaluation and adoption of emerging AI-enabled software engineering tools, workflows, and developer productivity technologies.
  • Produce technical documentation, software artifacts, test evidence, and implementation guidance to support engineering and program objectives.

Qualifications:
Education: Bachelor'sdegree in Computer Science, Software Engineering, Computer Engineering, InformationSystems, or a related technical field.
Experience: Requiredknowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code,OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL).Candidates should have the ability to work in a fast-paced work environment.Able to collaborate with others while being able to handle independent tasking.Ability to learn new technologies quickly.
Required Experience: Requiredknowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code,OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL).Candidates should have the ability to work in a fast-paced work environment.Able to collaborate with others while being able to handle independent tasking.Ability to learn new technologies quickly.
  • 3+ years of experience in software engineering, software integration, or application development.
  • Experience using AI-assisted software engineering tools and workflows to support software development activities.
  • Strong experience with Git-based development workflows and collaborative source control practices.
  • Experience with GitLab repositories, merge requests, branching strategies, and CI/CD integration workflows.
  • Experience utilizing Atlassian tools such as Jira and Confluence within Agile software development environments.
  • Strong proficiency with modern software development environments including VS Code and AI-enabled development extensions.
  • Experience developing software applications in Java.
  • Experience working within Linux-based development and deployment environments, including Red Hat Enterprise Linux (RHEL).
  • Familiarity with Linux command-line operations, shell scripting, package management, system services, permissions, process management, and development toolchains.
  • Ability to evaluate, validate, and refine AI-generated code outputs for correctness, security, maintainability, and operational suitability.
  • Experience troubleshooting software defects, integration issues, build/test failures, and Linux-based runtime issues.

Desired Experience: Desired knowledge in theareas of AI-enabled software engineering workflows, agentic softwaredevelopment, embeddings generation, context optimization for large codebases,modern developer productivity tooling, and Linux-based software environments.
  • Master's degree in Computer Science, Software Engineering, or a related discipline.
  • Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle
  • Experience generating and utilizing embeddings to improve software engineering workflows, semantic search, retrieval augmentation, or codebase understanding.
  • Experience reducing context complexity and optimizing workflows for large software repositories and multi-project codebases.
  • Experience developing software in C++, Python, Go, or Rust.
  • Familiarity with containerized Linux development environments, Docker, Kubernetes, or DevOps workflows.
  • Familiarity with LLM orchestration frameworks, MCP-based integrations, or agentic development environments.
  • Experience with AI-assisted test generation, code review automation, or software documentation generation.
  • Experience supporting software development within defense, government, or mission-critical environments.
  • Experience with OpenClaw and Claude Cowork.

Exceptional Qualifications: Candidatespossessing knowledge in these technologies will be considered exceptionalcandidates:
  • Deep expertise utilizing AI-assisted software engineering workflows to accelerate software delivery while maintaining engineering rigor and code quality.
  • Demonstrated experience integrating multiple AI coding assistants and developer productivity tools into production engineering workflows.
  • Experience improving developer productivity across large-scale software repositories through embeddings, retrieval augmentation, semantic indexing, or context optimization techniques.
  • Experience developing or integrating autonomous or semi-autonomous software engineering agents.
  • Demonstrated ability to balance AI-generated implementation approaches with sound architecture, software quality, cybersecurity, and long-term maintainability considerations.
  • Deep familiarity with the Hugging Face ecosystem including Transformers, Datasets, Tokenizers, PEFT, TRL, Accelerate,
  • Diffusers, Safetensors, Text Generation Inference (TGI), and model packaging workflows.
  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, AutoGen, CrewAI, OpenAI SDKs/APIs, Anthropic APIs, Ollama APIs, vLLM APIs, LiteLLM, and MCP-based integrations.
  • Experience integrating AI/ML capabilities into production software applications, APIs, developer platforms, CI/CD pipelines, IDE tooling, or enterprise software systems.
  • Experience designing Retrieval-Augmented Generation (RAG) pipelines including embeddings generation, vectorization strategies, semantic chunking, reranking, hybrid search, and contextual retrieval techniques.
  • Experience with vector databases and semantic search technologies such as FAISS, ChromaDB, Milvus, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search, pgvector, or Qdrant.
  • Experience with local or enterprise model inference hosting technologies including vLLM, Ollama, Hugging Face TGI, TensorRT-LLM, llama.cpp, Triton Inference Server, Ray Serve, BentoML, or KServe.
  • Experience deploying and operating AI inference workloads on Kubernetes, Docker, Podman, OpenShift, or cloud-native GPU-enabled environments.
  • Experience with distributed AI/ML training technologies including PyTorch Distributed, DeepSpeed, FSDP, Megatron-LM, Ray, Horovod, or NVIDIA NeMo.
  • Experience developing, fine-tuning, training, evaluating, deploying, and hosting Large Language Models (LLMs) and AI/ML models in enterprise or on-premise environments.
  • Experience with model optimization techniques including quantization, LoRA/QLoRA fine-tuning, pruning, batching optimization, speculative decoding, caching strategies, and GPU memory optimization.
  • Experience with GPU-enabled infrastructure including NVIDIA CUDA, TensorRT, NCCL, MIG partitioning, multi-GPU orchestration, and high-performance AI compute environments.
  • Experience with AI observability, evaluation, and monitoring technologies such as LangSmith, Weights & Biases, MLflow, OpenTelemetry, Phoenix/Arize, TruLens, or prompt evaluation frameworks.
  • Experience with AI security and governance technologies including model isolation, prompt injection protections, content filtering, secrets management, supply chain validation, and secure model deployment practices.
  • Experience building AI-enabled developer tooling including AI copilots, code assistants, autonomous coding agents, semantic code search, AI-driven test generation, or AI-enabled software modernization tools.
  • Experience working with modern data and AI pipelines using Apache Kafka, Spark, Iceberg, Airflow, Ray, Redis, or streaming data architectures supporting AI/ML applications.
  • Experience with enterprise AI deployment in disconnected, air-gapped, regulated, or classified environments.

As a requirement of employment, all SEACORP employees must hold U.S. Citizenship.
Location: Middletown, RI
Travel: Quarterly (approximately 4 times a year)
Clearance: Secret
Work Environment & Physical Demands: Office & Computer Laboratories - Sitting, standing, extended periods of time using a mouse and keyboard and viewing computer screens. Infrequent lifting of <40lbs. Movement between points within the same office or between buildings. Work is performed in generally consistent environmental conditions with some seasonality for temperature differences and lighting.
Successful candidates will enjoy competitive wages and a very rich benefit program, including:
  • Medical Benefits: Choice of two medical insurance programs through Blue Cross & Blue Shield.
  • Dental Benefits: A best in class Dental Insurance Plan through Delta Dental.
  • Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.
  • Retirement Benefits: A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.
  • Life Insurance Benefits: Employer paid Life and Accidental Death & Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.
  • Additional Benefits: Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.
Undersea, on the surface, or in the air, SEACORP leverages its software and engineering expertise to deliver cutting edge warfare systems.
SEACORP is a proud Equal Opportunity Employer and complies with all applicable federal, state and local fair employment practices laws. SEACORP strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), age, sexual orientation, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state or local law.

SEACORP logo

About SEACORP

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Middletown, RI, US

Year founded

1981