Senior Software Engineer - Platform

Honeydew

4d

About The Position

Honeydew is building a digitally native dermatology platform that helps people with chronic skin conditions access licensed specialists, FDA-approved treatments, and ongoing support. The Senior Software Engineer - Platform will strengthen the platform so feature teams can deliver more quickly and reliably. The role includes platform, data, security, compliance, and developer-tooling work, as well as reviewing and testing teammates’ work and partnering with feature teams and other stakeholders to shape platform capabilities.

The engineer will work with the engineering manager to identify and plan projects, then execute them using agentic engineering methods. Initial priorities include standardizing and optimizing platform logging for AI-supported troubleshooting, followed by implementing processes and infrastructure that enable AI agents to open pull requests autonomously to address dependency vulnerabilities and other issues. Further platform and security improvements will be determined over time.

The role also involves migrating the data layer to RDS, strengthening security and compliance across a multi-account AWS organization, and supporting feature teams with data and security requests. Honeydew’s technology includes TypeScript, Python, SQL, React, Node.js, AWS Lambda, GraphQL, REST, PostgreSQL, DynamoDB, OpenSearch, S3, AWS infrastructure, Terraform, CI/CD systems, and AI APIs and tools.

Requirements

• Production experience building backend services and APIs using an object-oriented programming language.
• Strong data and architecture skills, including current best practices in data modeling and system architecture.
• Experience securing platform-layer components, including data stores, APIs, and cloud infrastructure.
• Knowledge of current best practices for access control, encryption, and audit logging.
• Hands-on experience building and operating production infrastructure using infrastructure as code such as CDK, Terraform, or CloudFormation.
• Experience with CI/CD pipelines.
• Ability to plan and execute work to a timeline, and to identify and report timeline issues early.
• Ability to identify and champion opportunities to improve the working ecosystem.
• Keeps up with current best practices, including AI-assisted engineering.
• Provides direct, useful code-review feedback and requests and gives help when needed.
• Writes documentation others can rely on.

Nice To Haves

• Experience in healthcare or another heavily regulated domain.
• Experience building and using custom agents.
• Experience with TypeScript, AWS, serverless functions, and PostgreSQL.

Responsibilities

• Identify and plan platform projects with the engineering manager, then execute them using agentic engineering methods.
• Standardize and optimize platform logging for AI-supported troubleshooting.
• Implement processes and infrastructure that allow AI agents to autonomously open pull requests to address dependency vulnerabilities and other issues.
• Deliver data migration, security, and compliance work to keep data stores, APIs, and cloud infrastructure safe and reliable.
• Support feature teams with data and security requests.
• Review and test teammates’ work and review other engineers’ code to help teams ship faster.
• Partner with feature teams and other stakeholders to shape platform capabilities.
• Identify, plan, and carry out further platform and security improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed