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Software Testing Jobs in Rhode Island (NOW HIRING)

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments. * Implement software solutions in Java and related technologies while ...

SEACORP

Software Engineer II

Newport, RI · On-site

Participates in an agile development and testing process to produce reliable software solutions for critical Navy systems. * Designs, develops, documents, tests, and debugs software that contains ...

SEACORP

Software Engineer I

Newport, RI

As a Software Engineer at SEACORP, you will be: * Assist and participate in the requirements, design, development and testing of a key feature in the USS-DSW including development of new work ...

SEACORP

Software Engineer I

Newport, RI · On-site

As a Software Engineer at SEACORP, you will be: * Assist and participate in the requirements, design, development and testing of a key feature in the USS-DSW including development of new work ...

SEACORP

Software Engineer II

Middletown, RI

$97K - $132K/yr

As a Software Engineer at SEACORP, you will be: * Assist and participate in the requirements, design, development and testing of a key feature in the USS-DSW including development of new work ...

SEACORP

Software Engineer II

Middletown, RI

$97K - $132K/yr

Job Summary : SEACORP is seeking Software Engineers with the ability to obtain a DoD Secret ... and testing of a key feature in the USS-DSW including development of new work products or ...

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All JobsSoftware Testing JobsSoftware Testing Jobs in Rhode Island

Software Testing information

See Rhode Island salary details

$18

$42

$68

How much do software testing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for software testing in Rhode Island is $42.60, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $51.30 per hour, depending on experience, location, and employer.

What is the difference between Software Testing vs QA Analyst?

AspectSoftware TestingQA Analyst
Primary FocusExecuting test cases to identify bugsDesigning, implementing, and managing testing processes
ResponsibilitiesFinding defects in softwareEnsuring overall quality standards and process improvement
Required SkillsTesting tools, scripting, attention to detailTesting methodologies, communication, documentation
Work EnvironmentTest labs, development teamsCross-functional teams, project management

While Software Testing primarily involves executing test cases to find bugs, QA Analysts focus on designing testing strategies and maintaining quality standards throughout the development process. Both roles are essential for delivering high-quality software but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Software Tester, and why are they important?

To thrive as a Software Tester, you need a solid understanding of software development life cycles, test design, and bug tracking, often supported by a degree in computer science or related field. Familiarity with testing tools like Selenium, JIRA, and knowledge of test automation frameworks or ISTQB certification is commonly required. Attention to detail, analytical thinking, and strong communication skills help testers collaborate and report findings effectively. These skills ensure software quality, reduce defects, and facilitate smooth product releases.

What are some common challenges faced by software testers when working in agile development teams?

Software testers in agile teams often navigate rapid development cycles, requiring them to adapt quickly to changing requirements and tight deadlines. One key challenge is ensuring comprehensive test coverage despite limited time for test planning and execution. Additionally, testers must collaborate closely with developers and product owners to clarify acceptance criteria and prioritize testing efforts effectively. Strong communication and flexibility are essential to keep up with continuous integration and frequent releases.

Is software testing a good career?

Software testing is a viable career that involves evaluating software for bugs and quality issues, often requiring knowledge of testing tools and scripting. It offers opportunities in various industries, with roles ranging from manual testing to automation testing, and can lead to advanced positions such as test lead or quality assurance manager.

Is it hard to become a tester?

Becoming a software tester typically requires understanding testing principles, familiarity with testing tools, and attention to detail. While some roles may require technical skills like scripting or knowledge of programming languages, entry-level positions are accessible with relevant training or certifications, and the job often involves continuous learning. Overall, it can be manageable with dedication and the right skill development.

How do I become a software tester?

To become a software tester, you typically need a background in computer science, information technology, or related fields, along with knowledge of testing tools and methodologies. Gaining experience through internships, certifications like ISTQB, and learning scripting or automation tools can improve job prospects. Strong attention to detail and understanding of software development processes are essential for success in this role.

Is software testing still in demand?

Software testing remains a vital part of the software development process, with demand driven by the need for quality assurance and bug detection. Testers with skills in automation tools and scripting are especially sought after as companies focus on efficient testing practices. The role offers opportunities across various industries and often requires knowledge of testing frameworks and programming languages.

What is software testing?

Software testing is the process of evaluating and verifying that a software program or application does what it is intended to do. The main objective is to identify bugs, errors, or missing requirements compared to the actual requirements. It can be performed manually or automated using various tools and frameworks. Software testing helps ensure the quality, reliability, and performance of software before it is released to users.
What are the most commonly searched types of Software Testing jobs in Rhode Island? The most popular types of Software Testing jobs in Rhode Island are:
Software Testing jobs near you
Infographic showing various Software Testing job openings in Rhode Island as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,618 per year, or $42.6 per hour.
Software Engineer IV - AI

Software Engineer IV - AI

SEACORP

Middletown, RI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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.
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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

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