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Software Engineering Manager Jobs in Providence, RI

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

This role requires strong engineering judgment and the abilityto balance AI-generated outputs with ... Familiarity with Linux command-line operations, shell scripting, package management, system ...

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

Required : • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering ... management, system services, permissions, process management, and development toolchains. • ...

MIKEL

Software Engineer

Middletown, RI

Software Quality and Configuration Management * Serve as a subject matter expert in software engineering best practices, including coding standards, source control management, configuration ...

MIKEL INC

SOFTWARE ENGINEER

Middletown, RI · On-site

Software Quality and Configuration Management * Serve as a subject matter expert in software engineering best practices, including coding standards, source control management, configuration ...

MIKEL

Software Engineer

Middletown, RI

Software Quality and Configuration Management * Serve as a subject matter expert in software engineering best practices, including coding standards, source control management, configuration ...

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

This role requires strong engineering judgment and the abilityto balance AI-generated outputs with sound software engineering principles,architecture awareness, maintainability, and operational ...

Amgen, Inc.

Engineering Manager

West Greenwich, RI · On-site

Engineering Manager What you will do Let's do this. Let's change the world. In this vital role you will lead engineering activities that support reliable, compliant, and efficient site operations.

Amgen Inc. (IR)

Engineering Manager

West Greenwich, RI · On-site

$125 - $169/hr

Engineering Manager Let's do this. Let's change the world. In this vital role you will lead engineering activities that support reliable, compliant, and efficient site operations. You will ...

Amgen SA

Engineering Manager

West Greenwich, RI · On-site

$120 - $160/hr

Engineering Manager What you will do Let's do this. Let's change the world. In this vital role you will lead engineering activities that support reliable, compliant, and efficient site operations.

Amgen

Engineering Manager

West Greenwich, RI · On-site

Engineering Manager What you will do Let's do this. Let's change the world. In this vital role you will lead engineering activities that support reliable, compliant, and efficient site operations.

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All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Providence, RI

Software Engineering Manager information

See Providence, RI salary details

$100.5K

$171.1K

$202.5K

How much do software engineering manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for software engineering manager in Providence, RI is $171,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $174,800.00 and $174,800.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

More about Software Engineering Manager jobs

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For Software Engineering Manager jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching Software Engineering Manager jobs in Providence, RI look for?

The top searched job categories for Software Engineering Manager jobs in Providence, RI are:

What cities near Providence, RI are hiring for Software Engineering Manager jobs?

Cities near Providence, RI with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Providence, RI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $171,113 per year, or $82.3 per hour.

Software Engineer IV - AI

SEACORP

Middletown, RI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 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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