Software Engineer II

TORCH.AI; McLean (VA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Unlimited PTO and 11 company holidays

Health, dental, vision coverage

401(k) plan

Employer-paid life insurance

Job summary

Torch.AI seeks seasoned backend engineers to design and implement Java services in a hybrid DMV environment. You will build RESTful APIs, craft scalable microservices, and optimize data models across SQL and NoSQL stores while shaping CI/CD and deployment automation.

Ideal candidates bring 3–6 years in Java, strong Spring Boot/Micronaut, and experience with NiFi or Airflow, plus AWS and containerization. Security clearance is required for applicable roles.

Qualifications

• Active TS/SCI clearance is required.
• A B.S. or M.S. in Computer Science, Engineering, or a related field.
• 3–6 years of backend Java development experience.
• Experience with orchestration tools such as NiFi or Airflow.
• Strong Spring Boot / Micronaut proficiency and REST design
• Experience with SQL and NoSQL databases; cloud environments (AWS) and containers

Responsibilities

• Design and develop Java backend services using Spring Boot, Micronaut, or equivalent frameworks.
• Build and maintain REST APIs and service integration layers.
• Develop cloud-ready microservices supporting scalable mission workloads.
• Work with SQL and NoSQL databases to model schemas and optimize queries.
• Contribute to CI/CD pipelines, test automation, and containerized deployment workflows.
• Troubleshoot issues across development and staging environments; document decisions for stakeholders.

Job description

The world’s most consequential systems need the world’s best builders.A new era is taking shape. AI is no longer confined to models or interfaces. It is becoming the foundation of how decisions are made across governments, industries, and real-world environments. What matters now is not just access to capability, but how it is applied, controlled, and sustained over time.Torch.AI builds a government-owned reasoning infrastructure which creates a Reasoning Layer to enable machine reasoning at scale, in environments where it is hardest to achieve and least tolerant of failure. This is not incremental software. It is long-term infrastructure designed to endure, integrate, and evolve alongside the systems it supports.Not another dashboard. Not another workflow app. Not another black-box model glued to a PowerPoint.The Reasoning Layer is a modular architecture where data is connected, governed, transformed, represented, fused, reasoned over, and delivered into mission applications and operational workflows. It does not replace systems of record. It enables them to function better together.The Reasoning Layer is comprised of: ORCUS (ingestion, orchestration, governance), NEXUS (semantic representation, vectorization), HALO (graph-based fusion and reasoning) and various product and capability components deployed for specific customer use cases.We are seeking candidates who approach problems creatively, are comfortable operating without full clarity, and take responsibility for outcomes, not just implementation.If you’re driven to strengthen U.S. defense readiness and protect national interests, Torch.AI offers meaningful impact at national scale.What You’ll DoDesign and develop Java backend services using Spring Boot, Micronaut, or equivalent frameworks.Build and maintain REST APIs and service integration layers.Develop cloud-ready microservices supporting scalable mission workloads.Work with SQL and NoSQL databases to model schemas and optimize query performance.Contribute to CI/CD pipelines, test automation, and containerized deployment workflows.Participate in architecture discussions and drive improvements in reliability and performance.Troubleshoot issues across development and staging environments.Document technical decisions and service specifications for internal stakeholders.Core Skills & QualificationsActive TS/SCI clearanceB.S. or M.S. in Computer Science, Engineering, or related field.3–6 years of experience developing backend systems using Java.Experience with orchestration tools such as NiFi or Airflow.Strong proficiency with Spring Boot/Micronaut.Strong understanding of REST design and serialization formats.Experience with SQL and NoSQL databases.Familiarity with cloud environments (AWS preferred) and containerization.Ability to own feature-level delivery and collaborate across teams.Additional Valuable ExperienceExperience with Kafka or event-driven architectures.Exposure to infrastructure-as-code tooling.Experience supporting defense/intelligence environments.Compensation, Benefits, IncentivesWe offer competitive, performance-aligned compensation tied to technical depth, clearance level, and mission impact.Total Rewards Include:Competitive base salaryQuarterly performance bonusesEquity participation within the first 12 monthsUnlimited PTO + 11 paid company holidaysProfessional development in a high-growth, mission-driven environmentWeekly in-office catering at HQBenefits:401(k) plan (no current employer match, but under consideration)PPO, HSA, and TRICARE Supplement medical optionsAbove-market HSA contributionsHSA, FSA, and Dependent Care FSA optionsDental and vision plans above national averagesEmployer-paid life insurance (1× salary)Employer-paid Short-Term and Long-Term DisabilityVoluntary Accident, Critical Illness, and Hospital Indemnity coverageUp to $300/month in tax-advantaged commuter benefitsTorch.AI is an Equal Opportunity / Affirmative Action Employer committed to building a team that reflects the mission we serve.What Makes Torch.AI DifferentTorch.AI was founded on a simple operational insight: better use of data leads to better decisions. As data volumes increased across commercial, enterprise, and national security environments, the limiting factor was not collection, storage, or user interface design. The missing layer was machine understanding. And an infrastructure that could operate and reason between layers, preserve context, reconcile meaning, and make data useful for decisions in real time.We believe the government must own its data and decision environment. In mission and operational environments, the layer where data becomes context, context informs models, models support decisions, and decisions shape action cannot be controlled entirely by private technology vendors.Ownership does not mean the government must build every component itself. It means the government maintains stewardship and authority over the mission and operational layer. Commercial software, models, and services can contribute to the environment, but they should not capture the mission.We are craftsmen.We build with intention.We ship with discipline.You’ll collaborate with engineers, data experts, veterans, and mission practitioners. You’ll own meaningful work, move quickly, and see your systems deployed in production, often within weeks.We are fast-paced, entrepreneurial, and mission-driven. Every day is a new puzzle.The Type of Candidates Who ThrivePeople who do well here tend to approach problems similarly.They are comfortable operating without full clarity.They pay attention to what actually happens, not just what was intended.They are willing to be wrong, adjust quickly, and improve based on real feedback.They take responsibility for outcomes, not just implementation.This is not a good fit for someone who needs tightly defined problems or prefers distance from how their work is used.Security ClearanceSome roles require an active Secret, Top Secret, or Top Secret/SCI clearance. Where required, candidates must be eligible to obtain and maintain the appropriate clearance level.U.S. citizenship is required for all positions. Torch.AI does not sponsor employment visas.If you do not currently hold a clearance but are eligible, sponsorship may be available depending on role and mission requirements.Work LocationMost roles are based at our headquarters in Leawood, KS. Some hybrid/remote positions across the Arlington, VA, Washington, DC, and Maryland (DMV) region are available. Limited travel (<10%) may be required for some roles.If you want to build AI systems that move from ingestion to actionable insight and know exactly why they produced the answer they did, we should talk.