Responsibilities
Harden MVPs for production by refactoring prototype code, defining clean architecture, and deliberately paying down technical debt
Design for scale with multi-tenant data models, performance tuning, caching, queuing, and horizontal scaling
Own security, including authentication and authorization (SSO/SAML, OAuth, RBAC), secrets management, encryption, and secure handling of candidate and worker PII
Prepare products for enterprise security reviews and compliance frameworks such as SOC 2
Stand up and own cloud infrastructure, infrastructure-as-code, CI/CD pipelines, environments, release management, monitoring, alerting, and incident response
Build reliable integrations with enterprise systems, including VMS platforms (Beeline, SAP Fieldglass, VNDLY), ATS, and HRIS
Build new features and help take new products from concept to MVP alongside our product developer
Use AI coding tools daily (Claude Code, Cursor, Copilot, or similar) and build AI-powered features with LLM APIs
Set engineering standards, including code review, testing, documentation, and guardrails that let a small team move quickly without breaking things
Mentor teammates and advise on build-versus-buy and architecture decisions
#LI-AJ3
Qualifications
8+ years of professional software engineering, including 3+ years building and running production SaaS used by business customers
Strong full-stack skills in a modern stack, such as TypeScript/Node.js or Python on the back end and React on the front end
Hands-on experience deploying and operating on a major cloud (AWS, Azure, or GCP), including containers, infrastructure-as-code (Terraform or similar), and CI/CD
Solid grounding in application security: OWASP Top 10, identity and access management, data protection, and secure SDLC practices
Experience designing multi-tenant systems and relational databases (PostgreSQL or similar) that scale
Daily, practical use of AI coding assistants, and experience integrating LLM APIs into products
Comfort moving between rapid prototyping and disciplined production engineering, with judgment about which a situation calls for
Clear communication with non-engineers, including product leaders and clients
Nice to Have
Experience taking a product through SOC 2 Type II, ISO 27001, or enterprise vendor security questionnaires
HR tech, staffing, or workforce management background, especially VMS, ATS, or payroll integrations
Experience building with AI agents, retrieval-augmented generation (RAG), or MCP-based tool integrations
Experience with data pipelines and analytics workloads
Prior work at an early-stage startup or internal incubator
Physical Requirements
Ability to sit for extended periods of time
Ability to work in a hybrid work environment in our Jacksonville office
Education Requirements
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Benefits
Atrium offers a comprehensive Atrium Care Package, available upon eligibility, including:
20 days of Paid Time Off (PTO)
11 paid holidays
Medical, Dental, and Vision Insurance
Health Savings Account (HSA) & Flexible Spending Accounts (FSA)
Pet Insurance
Legal Benefits
401(k) Program with employer match
Employee Assistance Programs
Employee Perks
Summer Fridays
Vibrant company culture with monthly events and in-office amenities
Employee Wellness Programs
Employee Discounts through Working Advantage
Professional Development Opportunities
Commuter Benefit Program
EEO Statement
As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race,sex (including gender, pregnancy, sexual orientation, and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental),genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions,and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be consideredfor additional roles of a similar title. Please contact us to request an accommodation. EOE/M/F/D/V/SO
Harden MVPs for production by refactoring prototype code, defining clean architecture, and deliberately paying down technical debt
Design for scale with multi-tenant data models, performance tuning, caching, queuing, and horizontal scaling
Own security, including authentication and authorization (SSO/SAML, OAuth, RBAC), secrets management, encryption, and secure handling of candidate and worker PII
Prepare products for enterprise security reviews and compliance frameworks such as SOC 2
Stand up and own cloud infrastructure, infrastructure-as-code, CI/CD pipelines, environments, release management, monitoring, alerting, and incident response
Build reliable integrations with enterprise systems, including VMS platforms (Beeline, SAP Fieldglass, VNDLY), ATS, and HRIS
Build new features and help take new products from concept to MVP alongside our product developer
Use AI coding tools daily (Claude Code, Cursor, Copilot, or similar) and build AI-powered features with LLM APIs
Set engineering standards, including code review, testing, documentation, and guardrails that let a small team move quickly without breaking things
Mentor teammates and advise on build-versus-buy and architecture decisions
#LI-AJ3
8+ years of professional software engineering, including 3+ years building and running production SaaS used by business customers
Strong full-stack skills in a modern stack, such as TypeScript/Node.js or Python on the back end and React on the front end
Hands-on experience deploying and operating on a major cloud (AWS, Azure, or GCP), including containers, infrastructure-as-code (Terraform or similar), and CI/CD
Solid grounding in application security: OWASP Top 10, identity and access management, data protection, and secure SDLC practices
Experience designing multi-tenant systems and relational databases (PostgreSQL or similar) that scale
Daily, practical use of AI coding assistants, and experience integrating LLM APIs into products
Comfort moving between rapid prototyping and disciplined production engineering, with judgment about which a situation calls for
Clear communication with non-engineers, including product leaders and clients
Nice to Have
Experience taking a product through SOC 2 Type II, ISO 27001, or enterprise vendor security questionnaires
HR tech, staffing, or workforce management background, especially VMS, ATS, or payroll integrations
Experience building with AI agents, retrieval-augmented generation (RAG), or MCP-based tool integrations
Experience with data pipelines and analytics workloads
Prior work at an early-stage startup or internal incubator
