Senior Platform Engineer
Join Doctronic as a Senior Platform Engineer to enhance systems for building and deploying AI health guidance solutions.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Improve reliability and operation of production services on AWS ECS
- Build shared infrastructure and delivery workflows
- Automate recurring work such as service setup and incident triage
- Define standards for incident response and service reliability
- Track infrastructure cost and improve efficiency
Must have
- Experience building and operating production systems on AWS
- Strong knowledge of containers and infrastructure as code
- Experience with container orchestration and automated delivery
- Ability to write software and automation
- Daily experience with coding agents
Nice to have
- Experience with AI infrastructure
- Experience with regulated systems
- Experience with disaster recovery
- Experience with high-traffic applications
AI in the day-to-day
Doctronic provides AI health guidance and consultations, integrating AI into their healthcare services.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
The Senior Platform Engineer at Doctronic focuses on enhancing the reliability and efficiency of production systems, particularly on AWS. Key skills include expertise in container orchestration, CI/CD, and infrastructure as code, with a strong emphasis on automation and developer experience. This role is suited for candidates with over five years of relevant experience, particularly those who have worked with coding agents and internal engineering tools. The position is part of a small, senior team that values high autonomy and ownership of services.
Joblaze insights
- Listed yesterday on Joblaze — tracked directly from Doctronic's career page.
- Doctronic has 16 other open roles including Senior Product Engineer (Full Stack), Senior Data Engineer, FP&A Manager .
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 1134 active Terraform roles on Joblaze right now.
- Salary band is in line with the typical range for DevOps/SRE roles (median ~$165,000).
- Pays more than 65% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Senior Platform Engineer role remote?
- No — this is an on-site role in San Francisco, United States.
- What's the salary range?
- Doctronic lists $180,000–$240,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Platform Engineer role.
- Where is the role based?
- Doctronic is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Application Load Balancers, CloudFront, CloudWatch, DocumentDB, ECR.
- What seniority level is this role?
- Doctronic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Platform Engineer role at Doctronic.
From the original posting
Senior Platform Engineer
Doctronic | San Francisco | On-site | Full time
The role
Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems.
We are hiring a Senior Platform Engineer to improve the systems used to build, deploy, observe, and operate Doctronic. This role owns engineering enablement, including the environment in which engineers and coding agents understand the codebase, make changes, validate them, and ship.
What you will do
Improve the reliability and operation of production services on AWS ECS.
Build shared infrastructure, service templates, and delivery workflows that reduce the time from code to production.
Improve local development, CI, test, and deployment workflows so engineers can work without platform support for routine tasks.
Build agent-ready repositories, documentation, and interfaces so coding agents can complete useful tasks with less supervision.
Automate recurring work such as service setup, dependency changes, release checks, and incident triage.
Create guardrails and feedback loops that make agent-produced changes fast to validate and safe to ship.
Give engineers useful logs, metrics, alerts, and service health information.
Define practical standards for incident response, recovery, capacity, and service reliability.
Build security, privacy, and compliance controls into infrastructure and delivery workflows.
Track infrastructure cost and improve efficiency as traffic, data, and AI workloads grow.
Work with product, AI, data, and security engineers to solve production problems.
What we are looking for
Experience building and operating production systems on AWS.
Strong knowledge of containers, infrastructure as code, CI/CD, networking, and observability.
Experience with container orchestration and automated delivery.
Experience improving developer environments, CI performance, service templates, or internal engineering tools.
The ability to write software and automation instead of relying on manual procedures.
Daily experience with coding agents and evidence that you have built tools, context, or workflows that make them more reliable.
Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption.
Experience diagnosing incidents and making follow-up improvements.
Good judgment about reliability, security, cost, and delivery speed.
Clear written and verbal communication across engineering teams.
Many candidates will have 5+ years of relevant experience. Exact tool overlap is not required if your platform fundamentals are strong.
Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required.
Technical context
Our infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell.
How we work
A small, senior engineering team with high autonomy.
Application teams own the services they ship. Platform makes that ownership easier with shared infrastructure, tools, and standards.
Infrastructure changes are reviewed and managed as code.
High standards for patient safety, privacy, reliability, and code quality.
Compensation and benefits
Base salary: $180,000 to $240,000, plus equity.
Benefits reimbursement.
About Doctronic
Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. At doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. Doctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.