Reveal Technology
Full Stack Engineer (Ruby/React)
Remote, USA
Sponsorship not specified$150k-$185kDetected 12 days ago
PythonC++C#RubyKotlinReactRailsFull-Stack DevelopmentCode ReviewPostgreSQLCloud PlatformsDockerKubernetesTerraformCI/CDDevOpsAPI DevelopmentRESTLLMsBusiness DevelopmentZero Trust
About the role
- As a Full-Stack Engineer at Reveal, you will bridge the gap between high availability cloud infrastructure and mission critical mobile applications operating at the tactical edge.
- This is not a standard, run of the mill CRUD web app role.
Responsibilities
- Architect & Scale Full-Stack Services: Design, build, and maintain high performance APIs using Ruby on Rails and robust frontends using React.
- Database Engineering: Own the data architecture by driving advanced PostgreSQL data modeling, complex schema migrations, query optimization, and indexing strategies to safely operate production databases at scale.
- Modernize Infrastructure & DevOps: Manage and scale containerized services using Docker and Kubernetes, while leveraging Terraform to provision infrastructure as code.
- Continuously harden and optimize automated CI/CD pipelines to boost developer velocity and system stability.
- Drive System Security & Cryptography: Implement zero trust security models, robust authentication/authorization controls, and secure data at rest/in transit encryption strategies.
- Help design and support PKI certificate lifecycles and mTLS configurations for secure device communication.
- Participate heavily in proactive "shift-left" technical design reviews before writing code, and provide rigorous, constructive peer code reviews to protect branch integrity.
- Support Cross Functional Missions: Collaborate across teams and partner directly with our business development and mission success teams to troubleshoot complex technical escalations, ensuring our users' critical field operations remain unblocked.
- Design, build, and maintain high performance APIs using Ruby on Rails and robust frontends using React.
- Implement zero trust security models, robust authentication/authorization controls, and secure data at rest/in transit encryption strategies.
Requirements
- Expert Backend & Database Architecture: Deep expertise in Ruby (including Rails or similar frameworks) and SQL.
- Advanced React Architecture: Deep proficiency in building clean, modular component hierarchies using modern React, managing complex application state, and optimizing frontend performance for high concurrency apps.
- Production PostgreSQL at Scale: Deep knowledge of PostgreSQL internals, advanced indexing strategies, query execution plans, transaction management, and performance tuning.
- Startup Agility: Past experience working in fast paced startup environments, demonstrating a proven ability to thrive amidst technical ambiguity.
- Deep proficiency in building clean, modular component hierarchies using modern React, managing complex application state, and optimizing frontend performance for high concurrency apps.
- Deep knowledge of PostgreSQL internals, advanced indexing strategies, query execution plans, transaction management, and performance tuning.
- Past experience working in fast paced startup environments, demonstrating a proven ability to thrive amidst technical ambiguity.
- Reading proficiency or exposure to other languages utilized across the Reveal ecosystem, specifically Kotlin, C++, C#, or Python, to help assist with cross platform integrations or legacy refactoring.
- Proof of identity and eligibility to work in the United States is required for all hires.
Compensation
- Salary ($150,000 - $185,000) + Equity
- Salary is determined by the applicant's experience, knowledge, skills, abilities, internal equity, and alignment with market data.
Equal opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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This listing is sourced directly from Reveal Technology's careers page and normalized into a canonical job model.