Senior Software Engineer - Platform
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-20). Last seen at its source 3h ago.
We have tracked this listing since 20 Oct 2026 (13 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 13d ago · last seen 3h ago
The listing
The Mission 💪
Our mission is to ensure that no one in the world has to suffer from a treatable skin disease because of an access issue ever again.
About Honeydew 👋
Honeydew is building a platform for hundreds of millions of people globally to access expertise and science-backed skin treatments, from prescription to retail. Our tech-forward dermatology experience helps people with chronic skin conditions access licensed specialists, FDA-approved treatment, and ongoing support in record time. Honeydew is the future of skin health — digitally native, scientifically rooted, integrated end-to-end, and powered by AI.
The Opportunity 📈
Our feature teams can only move as fast as the platform underneath them, and we want to help them move faster. As a Platform Engineer, you’ll contribute to the work that makes our platform stronger, from moving our data layer onto RDS, to tightening security and compliance across our multi-account AWS organization, to building tooling that speeds up every team shipping on top of it. You’ll review and test your teammates’ work, and partner with feature teams and other stakeholders to shape what our platform can do next.
What You'll Build (Your First 6 Months) 🛠
By day 60: Standardize and optimize our logging for AI-supported troubleshooting across the platform.
Day 61-180: Implement processes and infrastructure for AI agents to autonomously open PRs to resolve dependency vulnerabilities and other issues
And more platform and security-related improvements TBD!
How You'll Make an Impact
Build the platform. You'll work with the engineering manager to identify and plan projects, then execute them using agentic engineering methods.
Harden data and security. You'll deliver the migration, security, and compliance work that keeps our data stores, APIs, and cloud infrastructure safe and reliable.
Enable the feature teams. You'll assist other teams with data and security requests, and review other engineers' code, so everyone ships faster on a solid foundation.
What We're Looking For
The Non-Negotiables:
Object-oriented programming language with strong data and architecture skills — production experience building backend services and APIs, and current best practices in data modeling and system architecture
Platform security — you've secured platform-layer components, including data stores, APIs, and cloud infrastructure, applying current best practices for access control, encryption, and audit logging
Infrastructure and automation — hands-on experience building and operating production infrastructure with infrastructure as code (CDK, Terraform, or CloudFormation) and CI/CD pipelines
The Nice-to-Haves:
Experience in healthcare setting, or another heavily regulated domain
Experience building and using custom agents
Experience with Typescript, AWS, serverless functions, PostgreSQL
You'll Thrive Here If…
You make a plan and execute to that plan and timeline.
You identify and report timeline issues early.
You identify and champion opportunities to improve the ecosystem you work in.
You keep up with current best practices, including AI-assisted engineering.
You give direct, useful feedback in code review.
You request and give help when needed.
You write things down so the next engineer can rely on them.
Our tech stack
Languages: TypeScript, Python, SQL
Frontend: React, Redux Toolkit, Material UI, Tailwind CSS, Vite, Next.js
Backend: Node.js on AWS Lambda, GraphQL (AWS AppSync, Apollo), REST (API Gateway), event-driven architecture (EventBridge, SQS, SNS), authentication (Cognito)
Data: PostgreSQL (RDS), DynamoDB, OpenSearch, S3
Infrastructure: AWS (multi-account, Control Tower, CloudFormation, IAM, SSM, CloudWatch, CloudTrail), Terraform, Serverless Framework, Docker, LocalStack, Git, CI/CD on Bitbucket Pipelines and GitHub Actions
Analytics: Databricks, dbt, Amplitude
AI: OpenAI and Anthropic APIs, Cursor
Testing: Vitest, Jest, Playwright