Senior Full-Stack Cloud Developer

US132 Guidehouse Digital, LLC; Dora (AL); Hybrid; USD 102,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan

Parental leave

Dental & vision insurance

Job summary

Guidehouse is seeking a senior software engineer to design, implement, and test full‑stack components including APIs, backend services and UIs. You will mentor engineers, drive modernization initiatives, and ensure cloud‑native standards across multiple teams.

The role emphasizes Java, Spring Boot, JavaScript (Angular/React), and hands‑on experience with Docker, Kubernetes, OpenShift, and CI/CD in a cloud environment. US Citizenship and Public Trust eligibility required.

Qualifications

• Bachelor's degree or equivalent in a software discipline.
• 6+ years of software engineering experience preferred.
• Experience designing, implementing, and testing full‑stack systems.
• Proficient in JavaScript with modern frontend frameworks (Angular/React).
• Strong Java, Spring Boot, and cloud platform experience required.

Responsibilities

• Design, develop, and test full‑stack components and APIs.
• Mentor junior engineers and provide technical leadership.
• Lead modernization efforts and cloud‑native best practices.
• Collaborate with product management to translate requirements into designs.
• Maintain automated tests and CI/CD pipelines.

Skills

Java

Spring Boot

JavaScript

Angular

React

Cloud platforms

Docker

Kubernetes

OpenShift

CI/CD

REST APIs

SQL/NoSQL databases

Education

Bachelor's degree or equivalent

Tools

JIRA

Bamboo

Jenkins

Bitbucket

Confluence

Job description

Job Family: Software Development & Support Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust

What You Will Do

Design, develop, and test full‑stack components, including enterprise web service APIs, backend services, and user interfaces that consume REST APIs. Collaborate with product management to translate requirements into technical designs and provide accurate estimates. This role involves building internal and external interfaces using Microservices and automation patterns as part of a complete system modernization. Define, implement, and maintain automated unit and integration tests. Develop high‑quality, production‑ready code in short, iterative increments. Work closely with engineering, QA and Systems teams to improve and manage the development pipeline. The ideal candidate will contribute across the full stack design, development, and testing leveraging a cloud technology platform (GCP or similar) and industry‑standard tools, frameworks, and design patterns. In addition, the senior‑level role includes mentoring responsibilities, architectural influence, and technical leadership across teams. Champion best practices development and cloud automation to continuously enhance development efficiency and reliability. Leads cross‑functional modernization initiatives, ensuring alignment across multiple teams and driving cohesive technical execution on complex enterprise‑wide programs. Provide technical leadership across feature teams, guiding architectural decisions and ensuring alignment with cloud‑native standards and microservices best practices. Mentor junior and mid‑level engineers through code reviews, pair programming, and structured knowledge‑sharing. Participate in solution architecture discussions, contributing to long‑term modernization strategy and technology selection. Act as a senior technical point‑of‑contact for cross‑functional stakeholders, helping bridge product, engineering, and platform teams. Subject matter expert. Demonstrates strategic thinking by anticipating future technical challenges and proactively proposing forward‑looking solutions that strengthen organizational readiness. Identify system bottlenecks, architectural gaps, and improvement opportunities across distributed systems.

What You Will Need

US Citizenship with the ability to obtain and maintain a federal Public Trust clearance. Bachelor's Degree or additional Four(4) years of exp in lieu of degree. Minimum of 6 years of software engineering experience. Expertise in enterprise software design, implementation, and deployment . Proficiency with JavaScript and modern frontend frameworks such as Angular or React . Strong programming experience in Java, including Spring Boot or similar frameworks . Experience working in a Scrum‑based development environment . Hands‑on experience with tools such as JIRA, Bamboo or Jenkins, Bitbucket (Git), and Confluence Proficiency with JSON, YAML, and XML . Experience developing distributed, modular system architectures (Microservices, SOA) . Strong understanding of modern cloud networking concepts and enterprise security best practices, including GCP‑native security controls and SAST/DAST methodologies, or similar cloud environments . Experience with Docker, Kubernetes, and OpenShift. Cloud development experience . Familiarity with web accessibility standards . Experience using Postman or similar tools to test web services. Experience with application servers or containers such as JBoss or Tomcat . Extensive experience with continuous integration and deployment tools . Experience working with relational and NoSQL data stores . Must be US Citizen. Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

What Would Be Nice To Have

Ability to manage multiple tasks with varying priorities . Strong communication skills across diverse formats . Facilitates discussions with stakeholders to ensure alignment on approaches . Adherence to Agile development methodologies . Experience leading multiple projects or processes, with minimal guidance . Experience with IDEs such as Eclipse, IntelliJ, or VS Code. GCP certification or familiarity with Google Cloud Platform . Experience with cloud‑based AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) and MLOps practices (CI/CD for ML, model monitoring) . Proficiency in Python for developing, training, and deploying machine learning models .

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer

• Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave 401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community Outreach Care.com annual membership Employee Assistance Program Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Guidehouse is a global AI‑led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com