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DevOps Engineer
Doctronic · New York City, New York, United States
Pay
$180k–240k
Setting
On-site
DevOps Engineer
Location
New York City
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
$180K – $240K • Offers Equity
Overview
Application
DevOps Engineer
Where Medicine Meets Intelligence
Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians.
About the Role
We're looking for a DevOps Engineer to own our infrastructure. We're HIPAA-compliant and SOC 2 Type II certified — you'll maintain and strengthen that foundation as we scale to serve millions of patients and enterprise partners.
This role is critical to our mission. When healthcare consultations depend on your infrastructure, reliability isn't just best practice — it's a sacred responsibility. You'll combine hands-on technical work with strategic infrastructure leadership, ensuring Doctronic remains the most trusted AI diagnostic platform in healthcare.
What You'll Build
Cloud Infrastructure
Design, deploy, and maintain AWS infrastructure using ECS and core AWS services, including EC2, IAM, VPC, ALB/NLB, CloudWatch, ECR, S3, RDS, Glue.
Operate and scale production Kubernetes clusters with Helm-based application deployments.
Implement GitOps workflows with Argo CD to enable secure, automated, and auditable releases.
Infrastructure as Code & CI/CD
Provision and manage cloud infrastructure using Terraform.
Build and optimize CI/CD pipelines with GitHub Actions, GitLab CI, or similar platforms.
Automate infrastructure and operational workflows to improve reliability and reduce manual effort.
AI/ML & LLM Infrastructure
Deploy, maintain, and optimize infrastructure for AI/ML services and Large Language Models (LLMs).
Support scalable inference workloads with a focus on performance, reliability, and cost efficiency.
Collaborate with engineering teams to deliver production-ready AI platforms.
Networking & Security
Design and manage cloud networking, including VPCs, VPNs, Load Balancers, DNS, routing, and secure connectivity.
Integrate SIEM solutions to improve infrastructure visibility and incident response.
Implement security best practices, identity management, and least-privilege access across cloud environments.
Observability & Reliability
Build monitoring, logging, and alerting solutions using Prometheus, Grafana, CloudWatch.
Improve platform reliability through proactive monitoring, incident response, and performance optimization.
Build and optimize containerized workloads using Docker.
Administer Linux-based production environments.
Automate operational tasks and infrastructure management using Bash and Python.
Who You Are
5+ years of experience as a DevOps Engineer or Site Reliability Engineer.
Strong hands-on experience with AWS, Kubernetes, Terraform, Docker, Helm, and Argo CD.
Proven experience designing and operating highly available, cloud-native production infrastructure.
Solid understanding of Linux administration, networking, cloud security, and Infrastructure as Code principles.
Experience building and maintaining CI/CD pipelines and deployment automation.
Familiarity with monitoring, logging, and observability platforms.
Experience supporting AI/ML workloads or modern distributed systems is a strong advantage.
Strong problem-solving skills with the ability to troubleshoot complex production environments.
Comfortable working in cross-functional teams and collaborating closely with software engineers, security teams, and product stakeholders.
Passionate about automation, reliability, scalability, and operational excellence.
Nice to Have
Experience with GPU infrastructure and AI/ML model deployment.
Familiarity with DevSecOps practices, vulnerability management, and compliance frameworks.
Experience with multi-cluster Kubernetes environments.
Knowledge of performance tuning, autoscaling, and cost optimization in AWS.
Experience supporting high-traffic, mission-critical production systems.
Understanding of disaster recovery, backup strategies, and business continuity planning.
Experience working in fast-paced startup or scale-up environments.
Compensation & Benefits
Base Salary: $180K-$240K + Equity
New York City | On-site
Join our NYC team and work directly with engineering and product teams to build security into everything we do.
Equity Opportunities
Share in Doctronic's growth as we transform healthcare with AI.
Building AI That Matters
Join Doctronic and work with cutting-edge AI that's transforming healthcare and helping people make faster, smarter decisions.
Reports To
Director of Engineering
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Information Security Engineer
Doctronic · New York City, New York, United States
Pay
$180k–240k
Setting
Remote
Information Security Engineer
Where Medicine Meets Intelligence
Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians.
About the Role
We're looking for an Information Security Engineer to own our security posture. We're HIPAA-compliant and SOC 2 Type II certified—you'll maintain and strengthen that foundation as we scale to serve millions of patients and enterprise partners.
This role is critical to our mission. When you're protecting healthcare data, security isn't just best practice—it's a sacred responsibility. You'll combine hands-on technical work with strategic security leadership, ensuring Doctronic remains the most trusted AI diagnostic platform in healthcare.
What You'll Do
Maintain SOC 2 Type II compliance and manage ongoing audits with external assessors
Implement and monitor HIPAA technical safeguards across our infrastructure and applications
Conduct and coordinate regular penetration testing, vulnerability assessments, and security reviews
Complete vendor security reviews and respond to enterprise security questionnaires from health systems and payers
Implement and enforce security policies across engineering, operations, and business teams
Respond to security incidents with urgency and thoroughness, conducting post-incident analysis
Build security automation and monitoring to scale protection as the company grows
Collaborate with engineering teams to embed security best practices into the development lifecycle
Stay current on emerging threats, vulnerabilities, and regulatory requirements in healthcare technology
Who You Are
7+ years of information security experience in production environments
Healthcare or fintech background required—you understand regulated industry security requirements
Hands-on technical ability, not just policy and paperwork—you can read code, configure systems, and investigate incidents
Deep experience with SOC 2, HIPAA, or equivalent compliance frameworks
Familiarity with AWS security controls, IAM, encryption, and cloud security best practices
Strong communicator who can translate security requirements for technical and non-technical audiences
Proactive problem-solver who anticipates risks before they materialize
Collaborative partner who enables teams to move fast while staying secure
Nice to Have
CISSP, CISM, CISA, or equivalent security certification
Experience with health information exchanges, TEFCA, QHIN, or interoperability standards
Startup security experience—building security programs from scratch vs. maintaining established ones
Familiarity with AI/ML security considerations and model protection
Experience with mobile app security (iOS/Android)
Knowledge of medical device security standards or FDA digital health guidance
Background in application security, secure SDLC, or DevSecOps
Compensation & Benefits
Base Salary: $180K-$240K + Equity
New York City | On-site
Join our NYC team and work directly with engineering and product teams to build security into everything we do.
Equity Opportunities
Share in Doctronic's growth as we transform healthcare with AI.
Building AI That Matters
Join Doctronic and work with cutting-edge AI that's transforming healthcare and helping people make faster, smarter decisions.
Reports To
Director of Engineering
Listed by Doctronic for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Clinical Context Engineer
Doctronic · Los Angeles, California, United States
Pay
$200k–350k
Setting
Remote
Senior Clinical Context Engineer
Location
Los Angeles - Remote - US
Employment Type
Full time
Location Type
Remote
Department
Product
Compensation
$200K – $350K • Offers Equity
Overview
Application
Senior Clinical Context Engineer
Doctronic Physicians Group (DPG) & Doctronic Inc.
Position Overview
We seek a physician-leader to bridge clinical medicine and artificial intelligence. This role combines hands-on context engineering with strategic leadership, requiring both deep medical knowledge and comfort with AI/LLM technologies.
Key Responsibilities
Medical AI Development (50%)
Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses
Translate medical knowledge into structured formats for our agentic workflows and knowledge graph
Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management
Systems & Evaluation (30%)
Organize medical databases supporting our AI agents and consensus models
Develop evaluation frameworks to assess LLM performance in clinical contexts
Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety
Cross-functional Collaboration (20%)
Day-to-day interaction with engineering team to develop and refine architecture
Gather feedback from our physician network to identify improvement opportunities
Partner with engineering on integration between AI doctor and EHR system
Required Qualifications
Medical Background
MD, DO, or equivalent; completed residency in any specialty
Strong clinical decision-making skills with experience in urgent care, primary care, or internal medicine preferred
Technical Expertise
Data science background and a deep understanding of managing large databases
Demonstrated deep knowledge of AI and large language models
Experience with or strong interest in prompt engineering
Comfort with iterative testing and rapid prototyping
Familiarity with EHR systems and clinical workflows
Leadership Skills
Proven ability to manage multidisciplinary teams
Exceptional writing and editorial skills for medical content
Experience developing clinical protocols or guidelines
Preferred Qualifications
Previous experience at healthcare technology companies or digital health startups
Understanding of HIPAA compliance and healthcare data privacy
What We Offer
Direct impact on healthcare accessibility for millions of patients
Opportunity to shape AI medical standards at a pioneering company
Work with world-class AI technology unique in the industry
Competitive equity package
Salary commensurate with experience
About Doctronic
Doctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (doctronic.ai) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.
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Listed by Doctronic for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior AI Engineer
Doctronic · New York City, New York, United States
Pay
$95k–300k
Setting
On-site
Senior AI Engineer
Location
New York City
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
New York
$200K – $300K • Offers Equity
Overview
Application
Senior AI Engineer
New York City | Hybrid Onsite | Full Time
Mission
Let's make high-quality healthcare free and accessible to everyone through AI. Doctronic's AI doctor already handles millions of consultations; our goal is to scale to billions while continuously improving clinical safety and accuracy. That means advancing how AI systems reason, learn, retrieve evidence, and earn trust in real clinical care.
About the Role
Doctronic runs a real clinical practice, with patients consulting our AI doctor every day. That gives us a dataset no one else has to test ideas against. We're committed to publishing and open sourcing as we go.
You'll build the reasoning systems, learning methods, retrieval algorithms, and evaluation infrastructure that allow every component of Doctronic's clinical AI to improve with each iteration and earn greater autonomy over time.
This role blends research and engineering. What matters is real experimental or modeling work you can also ship, whether you come from applied ML or data science with strong engineering skills, or engineering with a research bent.
What You'll Build
Agentic Clinical Reasoning
Design and implement the next generation of the architecture behind Doctronic's AI doctor, including reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation.
Build systems in which specialized agents and models work together to make clinical decisions safely, reliably, and efficiently, with an architecture that supports self-improvement over time.
Evaluation and Measurement
Build the evaluation platform, rubrics, simulations, and experiments that measure how the AI doctor performs and know when a benchmark score rewards the wrong behavior.
Identify what should be improved, whether reasoning, retrieval, model behavior, data, or engineering, and determine whether each intervention genuinely made the system better.
Models and Learning
Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt and system optimization to improve specific components of the AI doctor.
Build the training data, feedback, reward, and experimentation pipelines that turn evaluation results and clinical expertise into system improvements.
Search, Retrieval, and Grounding
Build search, ranking, retrieval, and grounding algorithms that connect clinical reasoning to trusted medical evidence, partner-specific content, and patient context.
Improve and evaluate retrieval based on its effect on downstream clinical decisions, not only on document-relevance metrics.
Wherever you're working, you'll own the problem end-to-end, from framing it to measuring whether it worked.
How We Work
Builder-first org: senior engineers who take ownership of a problem and run with it
Autonomy here means moving fast on your own judgment and bringing in clinical, product, or engineering partners early when the problem calls for it, not after.
Who You Are
You are a research-minded engineer who wants to build intelligent systems and is equally serious about understanding and demonstrating their effectiveness.
You have deep experience in at least two of the following:
Agentic architectures, reasoning systems, and tool use
Model evaluation, experimentation, and rubric design
Model training, fine-tuning, distillation, or reinforcement learning
Search, ranking, retrieval, or RAG
You have strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation.
You're comfortable working in domains where ground truth is incomplete, and experts disagree, and where the right move is sometimes to question what "correct" even means before answering.
You think through the business impact of your work and scope and prioritize solutions accordingly.
You have strong engineering fundamentals, you build real systems, not just notebooks or one-off experiments.
You communicate clearly and collaborate well across engineering, clinical, and product teams.
Typically, candidates will have an advanced degree in a quantitative, computational, or scientific discipline and 3+ years of highly relevant applied or research experience in AI/ML; or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI.
We care more about the depth of your work than a specific credential or career path.
Bonus Points
Published research, patents, meaningful open-source contributions, or novel production ML systems
Experience building AI systems at an early-stage or high-growth company
Experience in healthcare, clinical AI, or another regulated or safety-critical domain, including familiarity with clinical workflows, healthcare data, or standards such as HIPAA, FHIR, EHR, and HL7
Experience with human-feedback systems, RLHF, simulation, or synthetic-data generation
Work in AI safety, bias detection, calibration, or fairness
What We Offer
Competitive salary plus meaningful equity with real upside as we grow
Build AI systems transforming healthcare for millions
High autonomy and end-to-end ownership on problems that matter
Work side by side with physician-scientists
Health benefits
Funding and Momentum
Doctronic is backed by Union Square Ventures, Lightspeed Venture Partners, and Abstract Ventures, with three rounds of financing completed between February 2025 and January 2026.
Doctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Listed by Doctronic for a position based in the United States. Employers on this board attest they are hiring domestically.
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