Software Development Engineer, II

ProviderTrust•Nashville, TN

1d•Hybrid

About The Position

ProviderTrust was founded in 10 years ago with a mission to create safer healthcare for everyone through OIG and state Medicaid exclusion monitoring. Today, the organization has developed the industry’s most accurate dataset for ongoing exclusion monitoring and primary source verification, serving the nation’s top health systems, payers, and healthcare organizations. Our solutions monitor employees, vendors, provider networks, licenses, credentials, and more for OIG and state Medicaid exclusions, sanctions or disciplinary actions, license expirations, or suspensions. With a team of 100+ employees, our Nashville-based company has consistently been recognized as one of the Best Places to Work by Modern Healthcare, Inc. Magazine, and the Nashville Business Journal. We are seeking a highly motivated and talented software engineer to join our growing healthcare SaaS organization in Nashville, TN. As a member of the software engineering team, the successful candidate will work on emerging technologies — including AI/ML-powered features — to enhance ProviderTrust's existing products and develop innovative products and solutions.

Requirements

4+ years of software engineering experience.
Ability to design cloud native systems and solve high-impact problems.
Experience in full stack and cloud native development delivering on AWS.
Hands-on experience with containerization (Docker), serverless architectures, and orchestration (ECS/Kubernetes).
Understanding of cloud networking concepts (VPCs, load balancers, API gateways), security (IAM roles, encryption), identifying bottlenecks in distributed systems, and performance/cost optimization.
Experience and practical knowledge of event-driven architecture.
Strong at troubleshooting, profiling, insights, and dashboards.
Strong command of Java or C# and associated libraries optimized for cloud environments.
Experience in cloud native databases: SQL (Aurora/RDS), query performance, and document data stores (DynamoDB).
Experience in Infrastructure as Code: Terraform, rolling dark, branching, and code pipelines.
Experience in ReactJS or other modern JavaScript front end stack.
Experience with AI/ML integration and tooling, including:
Familiarity with large language model (LLM) APIs (e.g., OpenAI, Anthropic, AWS Bedrock) and prompt engineering best practices.
Experience building or integrating AI-powered features into production applications (e.g., intelligent search, classification, summarization, or recommendations).
Understanding of ML pipeline concepts, model deployment, and inference at scale (e.g., SageMaker or similar).
Awareness of responsible AI principles, including bias mitigation, explainability, and data privacy considerations in healthcare contexts.

Nice To Haves

Gain energy from working in a fast-paced, creative environment
Decision-making that employs a blend of data-driven insights and intuition
Ability to multitask and handle multiple projects concurrently
Resilience and positivity, able to address setbacks and bounce back quickly
Resourcefulness, discovering creative ways to get things done
Joy in making an immediate and positive impact
Diverse interests that are welcomed and extend beyond our organization

Responsibilities

Occasionally leads design discussions, aligning solutions with technical vision — including evaluating where AI/ML capabilities can add measurable product value.
Build high quality technical solutions that adhere to technical and architectural guidelines without over-engineering. Writes great, testable code while providing constructive feedback to those around them on improving the code base. Contributes to the development and iteration of AI-powered features with a focus on accuracy, reliability, and responsible use.
Regularly adds new and relevant documentation while improving our ability to test efficiently, including documenting AI model behavior, prompt strategies, and evaluation approaches.
Occasionally works with other squads to align on direction and unblock others. Consistently provides constructive feedback.
Communicates effectively with teammates and stakeholders about current work, including surfacing tradeoffs and limitations of AI-assisted solutions.
Active in resolving escalations, able to solve complex issues efficiently, begins to look for patterns and root cause solutions — including monitoring AI feature performance and addressing model drift or quality issues.

Benefits

Hybrid schedule: 3 days in office
16-week paid primary caregiver with a 2-week phase-back leave policy
4-week paid secondary caregiver leave policy
Competitive base salary and incentive package with 401k matching, HSA employer contribution, and company-paid life and disability insurance
Medical, dental, and vision benefits: PT pays 80% of your premiums. We also offer access to a range of free mental health and well-being resources.
Unlimited PTO, 11 paid holidays, and a flexible work schedule
Internal professional growth, development, and mobility
Daily all-company morning huddles to sync up across the business
In-office experience: fully stocked kitchen, ergonomic desk setup, dog-friendly, and many celebrations!
Remote experience: home office set-up with technology provided, remote-friendly meetings and celebrations, and interest-specific Slack channels for connecting across teams
Fitness stipend, wellness program, and cell phone reimbursement