Explore 2 senior full stack java react developer jobs from 2 hiring companies in Perry, UT, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Senior Full Stack Java React Developer

Brigham City

North Ogden

Ogden

Pleasant View

South Ogden

Logan

Clinton

West Haven

Clearfield

Layton

Syracuse

Farr West

Hyrum

Kaysville

Plain City

Harrisville

Farmington

Washington Terrace

Senior Full Stack Java React Developer Jobs

TAB Bank

Western Governors University

Onsite

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:  Grade: Technical 410Pay Range: $140,200.00 - $217,200.00Job Description Role OverviewWe are seeking a Senior Software Engineer who thrives in ambiguous problem spaces and excels at technical research, discovery, and analysis. This role requires strong end‑to‑end engineering skills across frontend and backend systems, along with hands‑on experience designing and delivering AI‑powered applications using Large Language Models (LLMs) deployed on AWS and Kubernetes.In this role, you will lead technical discovery efforts, explore emerging approaches, and translate loosely defined problems into scalable, production‑ready solutions. You will work closely with product, design, and engineering partners to shape user‑facing experiences and cloud‑native, containerized platform capabilities.This is a hands‑on senior individual contributor role with strong ownership of architecture, delivery, and mentoring.<div></div>What You’ll DoTechnical Discovery &amp; Research<ul><li>Lead research and discovery for complex, ambiguous problem spaces through architectural spikes, prototypes, and proof‑of‑concepts</li><li>Evaluate new technologies, AWS services, Kubernetes patterns, and AI capabilities</li><li>Perform build‑vs‑buy and managed‑service vs. self‑managed tradeoff analyses</li><li>Translate findings into clear architectural direction and implementation plans</li></ul><div></div>AI &amp; Large Language Models<ul><li>Design, implement, and evaluate AI‑powered features using Large Language Models</li><li>Apply prompt engineering, retrieval‑augmented generation (RAG), and agent‑based workflows</li><li>Design AI systems that account for latency, cost, reliability, observability, and safety</li><li>Deploy AI services in containerized environments and integrate them with cloud‑native infrastructure</li><li>Stay current with applied AI/LLM advancements and production best practices</li></ul><div></div>Full‑Stack Engineering<ul><li>Own features end‑to‑end, from frontend experiences to backend services and data layers</li><li>Build modern, responsive user interfaces using React, Angular, or similar frameworks</li><li>Design and implement scalable backend services and APIs</li><li>Ensure solutions meet high standards for performance, reliability, security, and maintainability</li></ul><div></div>AWS, Kubernetes &amp; Cloud‑Native Architecture<ul><li>Design, deploy, and operate cloud‑native systems on AWS using Kubernetes</li><li>Build and operate containerized workloads using Docker and Kubernetes (EKS or equivalent)</li><li>Design Kubernetes deployments, services, ingress, autoscaling, and resource management strategies</li><li>Implement secure, highly available architectures using AWS and Kubernetes best practices</li><li>Apply Infrastructure as Code using tools such as Terraform and Helm</li><li>Monitor, troubleshoot, and optimize distributed systems using cloud and Kubernetes observability tools</li></ul><div></div>DevOps &amp; Reliability<ul><li>Design and maintain CI/CD pipelines that build, test, and deploy containerized applications</li><li>Support zero‑downtime deployments and safe rollout strategies (e.g., blue/green, canary)</li><li>Participate in on‑call rotations and incident response for production systems</li><li>Drive improvements in reliability, scalability, and developer experience</li></ul><div></div>Leadership &amp; Collaboration<ul><li>Provide technical leadership on projects and guide architectural decisions</li><li>Mentor engineers through design reviews, code reviews, and hands‑on collaboration</li><li>Partner with product managers and designers to align technical solutions with user needs</li><li>Communicate clearly about technical tradeoffs, risks, and system behavior</li></ul><div></div>What We’re Looking ForRequired Qualifications<ul><li>7&#43; years of professional software engineering experience</li><li>Strong proficiency in a modern backend language (e.g., Java, Kotlin, Python, or similar)</li><li>Strong frontend experience with React, Angular, or equivalent frameworks</li><li>Significant experience building and operating production systems on AWS</li><li>Hands‑on experience deploying and managing applications on Kubernetes</li><li>Proven ability to work in ambiguous problem spaces and drive clarity via research and experimentation</li><li>Experience building or integrating AI‑powered features using Large Language Models</li></ul><div></div>Kubernetes &amp; Cloud‑Native Experience<ul><li>Experience with Kubernetes fundamentals: pods, deployments, services, ingress, and autoscaling</li><li>Experience running production workloads on EKS or comparable Kubernetes platforms</li><li>Familiarity with container security, resource optimization, and operational best practices</li><li>Experience debugging and operating distributed systems in containerized environments</li></ul><div></div>AI &amp; Discovery Experience<ul><li>Experience with prompt design, evaluation, and iterative experimentation</li><li>Familiarity with RAG architectures, tool‑using agents, or workflow orchestration</li><li>Ability to reason critically about AI behavior rather than treating models as black boxes</li></ul><div></div>Preferred Qualifications<ul><li>Experience building SaaS or platform products using AWS and Kubernetes</li><li>Experience with service meshes, event‑driven architectures, or workflow orchestration</li><li>Experience influencing technical strategy or platform architecture</li><li>Prior experience mentoring engineers or leading cross‑team initiatives</li></ul><div></div>How You’ll Be Successful in This Role<ul><li>You enjoy tackling poorly defined problems and discovering the right solution</li><li>You balance experimentation with engineering rigor</li><li>You make thoughtful architectural decisions grounded in tradeoffs and data</li><li>You care deeply about production reliability, maintainability, and user experience</li><li>You are excited about applying AI and cloud‑native technologies responsibly and at scale</li><li>You enjoy coaching and helping others mature in their roles</li></ul><div></div>Why Join Us<ul><li>Work on complex problems where discovery, AI, and cloud‑native architecture matter</li><li>Shape how AI systems are deployed and scaled on Kubernetes</li><li>Collaborate with experienced engineers and product leaders</li><li>Have real influence over system architecture and technical direction</li><li>Continue growing as a senior technologist while staying hands‑on</li></ul> Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require. This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements. LI-JW1Position &amp; Application DetailsFull-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.Additional InformationDisclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting&#64;wgu.edu.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

Senior Software Engineer (AI-First, Full-Stack, AWS, Kubernetes)

Senior Software Engineer

7+ years software engineering; backend in Java/Kotlin/Python; frontend in React/Angular; strong AWS production and Kubernetes; experience building AI-powered features using LLMs.

As a Principal Software Engineer, you will serve as a senior technical leader, helping guide the evolution of software engineering practices across the organization. This role operates beyond a single team or system, focusing on improving how systems are built, integrated, and operated across multiple domains.
You will partner closely with engineering teams, product, solutions architects, and leadership to influence technical direction, support complex system design decisions, and help teams move toward modern, scalable approaches. This includes establishing patterns for API design, cloud-based systems, data management, and future AI integration, while ensuring systems are resilient, observable, and built for change. You will play a key role in supporting modernization efforts, improving consistency across teams, and helping engineers navigate complex technical challenges. In addition, you will mentor senior engineers and act as a trusted advisor across multiple initiatives.
Essential Duties and Responsibilities:
<ul>
<li>Guide teams toward modern engineering practices, patterns, and approaches fit-for-purpose</li>
<li>Influence technical direction across multiple teams and systems</li>
<li>Support design and implementation of complex, distributed systems</li>
<li>Partner with engineering leadership and product teams to align technical solutions with business needs</li>
<li>Contribute to modernization efforts of legacy platforms</li>
<li>Provide technical guidance on scalability, resiliency, performance, and system reliability</li>
<li>Support API design and integration approaches across systems</li>
<li>Mentor senior engineers and technical leads</li>
<li>Lead cross-team technical problem-solving and collaboration</li>
<li>Evaluate and support adoption of emerging technologies (AI/ML, LLMs, event-driven systems, etc.)</li>
<li>Act as a technical escalation point for complex or high-impact issues</li>
<li>Present technical concepts and approaches to engineering and leadership audiences</li>
<li>Other duties as assigned</li>
</ul>
Required education and experience:
<ul>
<li>Bachelor’s degree in Computer Science, Software or Computer Engineering, Data Science, Other STEM Degrees, or a related field (required)</li>
<li>Minimum 15+ years of progressive experience in professional software development</li>
<li>Demonstrated experience working across multiple systems or domains in a senior technical capacity</li>
<li>Proven experience designing and developing both front-end (e.g., React, Angular) and back-end systems (e.g., Node.js, .NET Core, Go, Java, C)</li>
<li>Advanced understanding and hands-on implementation of microservice architecture, including service discovery, distributed communication, containerization, and orchestration (e.g., Docker, Kubernetes)</li>
<li>Experience designing and developing APIs and system integrations</li>
<li>Experience supporting or contributing to large-scale modernization efforts</li>
<li>Strong working knowledge of modern relational and non-relational databases (e.g., PostgreSQL, MongoDB), including query optimization and schema design</li>
<li>Proven success leading the development and deployment of enterprise-level systems in an Agile environment</li>
</ul>
 Preferred education and experience:
<ul>
<li>Master’s degree in Computer Science, Engineering, or related field</li>
<li>Experience supporting cross-team or enterprise-level technical initiatives</li>
<li>Familiarity with API standards, authentication patterns (OAuth2, JWT), and integration best practices</li>
</ul>
 Competencies:
<ul>
<li>Agile Mindset – Strong practitioner of Agile methodologies, MVP delivery, and lean experimentation. Understands how to balance speed, quality, and business value.</li>
<li>Systems Thinking – Understands how systems interact and impact one another. Able to navigate complexity across multiple services and integrations.</li>
<li>Analytical Precision – Possesses superior critical thinking and diagnostic skills for identifying root causes of system or code issues. Applies data-driven approaches to performance bottlenecks and design decisions.</li>
<li>Mentorship – Committed to developing others through coaching, code reviews, and knowledge sharing. Regularly delivers internal technical talks and contributes to engineering culture.</li>
<li>Database Architecture – Expertise in both relational (PostgreSQL, MySQL, SQL Server) and non-relational (MongoDB, DynamoDB, Redis) databases. Skilled in schema design, performance tuning, data replication, and transactional integrity.</li>
<li>Full-Stack Mastery – Proficient in modern front-end frameworks (e.g., React, Angular) and back-end ecosystems (e.g., Node.js, .NET Core, Go, Java, C), with deep fluency in debugging, refactoring, and optimizing across layers.</li>
<li>Security & Compliance Awareness – Proactively integrates security into design and development processes, with working knowledge of data protection, encryption standards, and common vulnerability mitigation (e.g., OWASP Top 10).</li>
<li>Advanced API & Integration Design – Expert in building versioned, documented, and secure APIs (REST and GraphQL), using OpenAPI standards and high-throughput integrations. Strong experience with API gateways, authentication flows (OAuth2, JWT), and developer experience (DX) design.</li>
<li>Cloud-Native and Serverless Engineering – Demonstrates advanced knowledge of container orchestration (Kubernetes), serverless patterns, and event-driven systems. Designs solutions optimized for scalability, cost-efficiency, and fault tolerance in cloud platforms.</li>
<li>AI/ML Integration – Skilled in incorporating machine learning models, LLMs, and vector databases into production systems. Understands model inference workflows, prompt engineering, and data privacy implications of AI in production.</li>
</ul>
TAB Bank Offers:
<ul>
<li>Onsite Gym</li>
<li>Tuition Reimbursement</li>
<li>Paid Holidays</li>
<li>Gym Reimbursement</li>
<li>College Scholarships for Employees and Families</li>
<li>401(k)</li>
<li>Paid Time Off (PTO)</li>
<li>Employee Assistance Program (EAP)</li>
<li>I Made the Grade</li>
<li>Holiday Club Program</li>
<li>Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care</li>
</ul>
TAB Bank will not sponsor applicants for work visas.

Principal Software Engineer

15+ years in software development; full-stack experience; microservices; API design; cloud-native; databases; Agile.

Senior Full Stack Java React Developer Jobs in Perry, UT, US | HiringCafe: every job on earth

Senior Full Stack Java React Developer Jobs in Perry, UT, US

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