Software Developers

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Travel Required:

Clearance Required:

Job Description Summary

The Software Developer is a hands-on software and AI engineer responsible for modernizing mission-critical legacy applications while maintaining business continuity and interoperability with existing systems. The developer designs builds tests and deploys modern application and AI-enabled capabilities using the programming languages frameworks models and platforms best suited to each solution such as Python Java JavaScript/TypeScript C#/.NET Go or comparable technologies. These capabilities will coexist with legacy applications and databases through an integrated data layer that provides governed reusable access to shared data through APIs events data services canonical models transformation components and AI-ready knowledge services. Working with architects data engineers security DevSecOps product teams and vendors the developer incrementally refactors or replaces legacy functionality responsibly integrates AI into business workflows preserves essential business rules reduces point-to-point dependencies and delivers secure maintainable AWS-based solutions.

What You Will Do:

We are seeking a mid-level Software Developer with AI engineering capabilities to help modernize a large-scale GrantSolutions application portfolio through phased low-risk delivery. The developer will enhance and refactor legacy applications build new cloud-hosted services using modern languages and frameworks and develop production-ready AI capabilities that improve information access automate workflows and augment user decision-making. The developer will implement interoperability between modern AI-enabled and legacy capabilities through an integrated data layer. The role is primarily a software development position with responsibility for application code reusable data and AI services APIs events transformation logic automated tests AI evaluation monitoring and production support.

The Software Developer will translate architecture and data-governance standards into working software. The developer will expose legacy capabilities safely develop modern modules and microservices establish consistent data contracts and support synchronization and traceability across systems of record. This individual will collaborate with Solution Architects Product Owners application and data teams vendors security teams and Federal stakeholders to deliver incremental modernization without disrupting ongoing operations.

• Analyze legacy applications data structures interfaces dependencies and business rules to identify safe modernization increments.
• Enhance and refactor legacy applications and databases while developing new APIs services automation and cloud-native components using appropriate modern languages and frameworks including Python Java JavaScript/TypeScript C#/.NET Go or comparable technologies.
• Implement phased modernization patterns that allow modern and legacy capabilities to operate concurrently without disrupting mission operations.
• Build and maintain an integrated data layer that provides consistent governed access to shared data through APIs events reusable data services canonical models and transformation components.
• Develop interoperability between legacy applications modern services vendor platforms and analytics capabilities using synchronous APIs asynchronous messaging events batch processing and change-data patterns.
• Implement data mapping validation transformation lineage reconciliation synchronization error handling and auditability across systems of record.
• Design prototype and productionize AI capabilities such as retrieval-augmented generation semantic search document intelligence classification summarization intelligent assistants and agent-supported workflows when appropriate to the business need.
• Integrate foundation models and machine-learning services with enterprise applications APIs and governed data using prompt orchestration embeddings vector search tools and model-agnostic service patterns.
• Design versioned API event and data contracts that decouple consumers from legacy implementation details and support controlled schema evolution.
• Preserve validated business rules and compliance controls while progressively separating tightly coupled application and data components.
• Develop resilient services using retries timeouts idempotency dead-letter queues transaction controls and failure-recovery mechanisms.
• Implement secure authentication authorization encryption secrets management and least-privilege access across application and data interfaces.
• Create unit integration contract regression and performance tests to verify business behavior and end-to-end interoperability.
• Develop AI evaluation suites and operational controls for accuracy groundedness relevance latency cost security privacy prompt injection sensitive-data exposure model drift and other use-case-specific risks.
• Implement responsible AI controls including guardrails traceability audit logging model and prompt versioning human-in-the-loop review fallback behavior and ongoing monitoring aligned with organizational and Federal requirements.
• Use CI/CD pipelines infrastructure as code code reviews automated security scanning and feature controls to deliver changes safely and repeatedly.
• Instrument application and data flows with centralized logging metrics tracing health checks alerts and operational dashboards.
• Troubleshoot defects across application code data flows APIs events databases AWS services identity controls network paths and deployment environments.
• Document code design data models mappings interface contracts migration decisions test evidence deployment procedures and operational runbooks.
• Collaborate in Agile delivery with architects developers data engineers DevSecOps security vendors product teams and Federal stakeholders.

What You Will Need:

• 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.
• Bachelors degree required.
• Minimum of FIVE (5) to EIGHT (8) years of experience in software development including legacy application enhancement or modernization backend service development data integration and production support.
• Strong hands-on proficiency in one or more modern programming languages and associated frameworks such as Python Java JavaScript/TypeScript C#/.NET Go or comparable technologies along with SQL RESTful API development automated testing and maintainable software design.
• Experience engineering AI-enabled applications using foundation-model APIs or machine-learning services including prompt design retrieval-augmented generation embeddings vector search evaluation guardrails and production monitoring.
• Ability to integrate AI services with enterprise applications and governed data while applying security privacy data-use traceability human-review and responsible AI controls throughout the solution lifecycle.
• Experience analyzing and modifying legacy code extracting business rules resolving technical debt and delivering incremental modernization while legacy and modern systems coexist.
• Experience developing AWS-based applications using services such as API Gateway Lambda ECS/EKS SQS SNS EventBridge Step Functions DynamoDB CloudWatch and related integration and observability capabilities.
• Experience implementing secure integrations using OAuth2 OpenID Connect (OIDC) SAML JWT or similar authentication and authorization technologies.
• Strong understanding of enterprise integration patterns API design event-driven architectures messaging systems and asynchronous communication using technologies such as SQS SNS EventBridge Kafka or similar platforms.
• Solid experience with relational databases such as Oracle including data modeling query development SQL optimization transactions troubleshooting and performance tuning.
• Working knowledge of NoSQL databases such as DynamoDB MongoDB Cassandra or similar modern distributed data stores.
• Ability to design and develop domain models and implement domain-driven design (DDD) principles for complex business applications.
• Experience building an integrated data layer using reusable data services canonical data models API and event contracts mapping transformation validation synchronization lineage and reconciliation techniques.
• Experience developing testing troubleshooting and supporting distributed applications across APIs databases cloud services and legacy systems.
• Familiarity with CI/CD pipelines automated testing Git-based source control DevSecOps practices SDLC processes agile delivery and release management.
• Ability to interpret architecture guidance interface specifications API contracts data mappings user stories acceptance criteria and technical design documentation.
• Strong analytical and problem-solving skills with the ability to diagnose and resolve complex integration and interoperability issues across applications APIs data flows authentication or authorization mechanisms databases cloud services and deployment environments.
• Strong documentation skills including the ability to maintain implementation notes API documentation interface specifications data mappings test evidence and support handoff materials.
• Ability to work collaboratively with Solution Architects developers DevSecOps engineers data teams vendors security teams Product Owners Scrum Masters Federal stakeholders and business stakeholders in an Agile environment.
• Self-motivated adaptable and able to operate effectively in fast-paced dynamic environments with appropriate guidance from technical leads.
• Experience provisioning AWS resources through infrastructure as code and deploying application changes through automated CI/CD pipelines.
• Ability to troubleshoot integrations across application code APIs AWS services network paths identity controls databases and deployment environments.

What Would Be Nice To Have:

• Experience supporting platform modernization initiatives within enterprise or government environments.
• Experience supporting federal or government IT programs involving legacy system modernization shared services interoperability cloud adoption data governance or phased capability delivery.
• Experience operating in regulated AWS environments including FedRAMP NIST 800-53 FIPS audit logging and AWS GovCloud where applicable.
• Experience with API documentation tools API gateways data integration tools ETL/ELT patterns message queues workflow automation or integration monitoring dashboards.
• Cloud agile development data or security certification preferred such as AWS Certified Developer AWS Certified Solutions Architect Associate SAFe Certified ScrumMaster Security or similar credentials.
• Experience operating in a forward-deployed or customer-embedded engineering model working directly with mission users product owners and subject-matter experts to clarify ambiguous problems and deliver usable solutions rapidly.
• Ability to move from technical discovery and prototyping to production hardening deployment documentation training and transfer to long-term support teams.
• Experience facilitating technical demonstrations gathering user feedback and iterating on capabilities in short delivery cycles.
• Experience prototyping or integrating generative AI capabilities using AWS Bedrock or comparable enterprise AI platforms.
• Understanding of privacy security data-use restrictions and responsible AI considerations in federal or regulated environments.
• Experience with AI evaluation prompt and model versioning guardrails monitoring human-in-the-loop review and mitigation of hallucination or unsafe output risks.
• Experience using generative AI and AI-assisted development tools to accelerate the software development lifecycle including requirements analysis solution design code generation and modernization automated testing documentation code review troubleshooting and release readiness while applying appropriate security privacy governance and human-review controls.

What We Offer:

Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

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

• 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 EmployerProtected 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.

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