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# Staff Platform Engineer

AI Summary Redox is seeking a Staff Platform Engineer to build and operate the cloud-native foundations behind a large healthcare data interoperability platform. This senior individual-contributor role owns ambiguous platform initiatives from experimentation through hardened production delivery, with emphasis on secure AI-agent enablement, reliability, scalability, automation, and cost visibility. The work centers on AWS, Kubernetes/EKS, Terraform, Helm, GitOps, CI/CD, observability, and production operations. Candidates need extensive hands-on platform engineering experience, sound security judgment, and the ability to influence technical direction in a fully remote, regulated environment. The role also includes on-call ownership, incident response, design reviews, and peer knowledge sharing.[Apply for this job](#job-application)[View company](https://jobicy.com/company/redox.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 185k–210k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished9 Nov 2026Apply before9 Dec 2026Listing views35Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

## About this role.

[Redox](https://jobicy.com/company/redox.md) is on a mission to accelerate healthcare’s transformation with useful data. Redox Engine, a flexible interoperability platform, connects and powers real-time healthcare data exchange. With just one connection, data can be orchestrated across a growing network of 12,000+ systems and organizations, including 100+ electronic health record systems (EHRs). Redox processes over 1.2 billion messages per month across our health tech vendor, provider, payer, EHR, and life sciences customers.

### Opportunity & Impact

Redox is on a mission to accelerate healthcare’s transformation with useful data. The Redox Engine, a flexible interoperability platform, connects and powers real-time healthcare data exchange. With just one connection, data can be orchestrated across a growing network of 12,000+ systems and organizations, including 100+ electronic health record systems (EHRs). Redox processes over 1.2 billion messages per month across our health tech vendor, provider, payer, EHR, and life sciences customers.

We’re a fully remote team within the U.S. that operates with radical transparency and a strong bias toward ownership.

### Impact on Team

The Platform Team at Redox Engineering builds the foundations that let application developers ship reliably: the automation, guardrails, and infrastructure that power how healthcare data moves securely through our systems.

The platform is entering a new chapter. We’re building toward a platform where AI agents take part in engineering, operations, and everyday work, alongside the people who build on it. Getting there means keeping security, stability, and scale as the baseline while traffic grows and agents gain autonomy, making costs knowable to the people who make decisions, and steadily simplifying the platform so the right thing is the easy thing.

We’re looking for a Staff Platform Engineer who is a highly capable, hands-on contributor. You’ll pick up an ambiguous lane of work, scope it, prototype and experiment, and then carry it all the way to production-ready code. You’ll bring deep cloud and Kubernetes experience and sound judgment, and you’ll work with the team to shape and align on where the platform goes next.

Software Platform/Tools: AWS, Docker, EKS; GitHub Actions (CI), ArgoCD (CD), Atlantis; Kyverno, Karpenter, KEDA, VPA, Velero, Crossplane; Prometheus, Grafana, InfluxDB, Sumo Logic, Mimir, OpenTelemetry; Terraform, Helm; Postgres, Redis; Kafka; Node.js/TypeScript and Python services.

### What you’ll be doing:

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Own an ambiguous lane of platform work end to end: scope it, prototype and experiment, then turn what works into production-ready code

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Build the foundations that let AI agents safely take part in engineering and operations: where they run, how they’re permissioned, and how their actions are observed and audited

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Keep security, stability, and scale as the baseline as traffic grows and agents gain autonomy, partnering with InfoSec to harden the platform and reduce single points of failure

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Simplify the platform over time: consolidate tools, vendors, and patterns so humans and agents can do the right thing because it’s the easy thing

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Automate recurring upkeep wherever practical, so necessary maintenance takes less human effort

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Help make platform and AI costs understandable to the people making commercial, operational, and technical decisions

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Co-create the platform’s direction with the team and our platform architect: bring informed opinions, calibrate with others, and align your work to where we’re headed

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Contribute hands-on across the platform, including infrastructure, CI/CD, container orchestration, and observability. This is an IC role.

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Participate in on-call and own the systems you build, including production incidents

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Share knowledge with a highly senior team of peers through pairing, design reviews, and documentation

### What you’ll bring:

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8+ years in cloud-native infrastructure or platform engineering roles, with demonstrable progression in technical scope and impact

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Deep, hands-on AWS experience running production systems, including networking, IAM, and managed services

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Production Kubernetes expertise, including cluster lifecycle, upgrades, node management, and autoscaling. You’ve operated it, not just deployed it.

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Strong infrastructure-as-code practice (Terraform/HCL, Helm) and experience with GitOps-style delivery

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A track record of automating operational work, with the testing and rollback safety that makes speed possible

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A security-minded approach to access, secrets, and configuration, ideally in a regulated environment

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High output on ambiguous problems: you’ve taken loosely defined work from prototype to production, and you know when an experiment is ready to harden

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Sound judgment and strong written communication: you write clear proposals with tradeoffs, calibrate with peers, and commit once a direction is set

### Nice to have in your background:

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Experience in a fully remote, growth-stage, or regulated-industry company (HIPAA, HITRUST, SOC 2)

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Building or operating AI agents in production, or applying AI to infrastructure and operations work

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Observability depth: OpenTelemetry, distributed tracing, or managed observability platforms

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Networking depth: site-to-site VPNs, IPsec, or high-throughput messaging systems

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Developer enablement work: you’ve thought about the internal developer experience, not just the ops side

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Cost visibility or FinOps experience in cloud environments

### Compensation

Compensation: The base salary range for this position is expected to be between $185,000 – $210,000 per year.

*The base salary range is subject to change and may be modified in the future. The actual offer may vary depending on multiple factors unique to each candidate, including but not limited to the level of job-related knowledge, skills, qualifications, education/certification, and interview assessment.

Please note that the compensation details listed above reflect the base salary only. Redox offers a total rewards package that includes stock options and employee benefits for full-time employees. Our total rewards package includes the following:

Benefits & Perks

• 100% remote first culture (must be based in the US)

• Unlimited Flexible Time Off

• 15+ Observed Holidays

• Rest & R^Charge days (guaranteed a 3-day weekend each month)

• R^Charge (6 weeks paid sabbatical + stipend)

• 401k match 50% for up to 8% on Day 1

• Medical/Dental/Vision Benefits on Day 1

• HSA & FSA, Life, Disability, Medical Travel & Employee Assistance Program

• Paid Parental Leave (16 weeks)

• Productivity Stipend & Wellness Fund

• Redox Issued MacBook

• Virtual and/or in-person Team & Company Events

• Stock Options

• Employee Referral Bonus Program

### Additional Information

About Redox – Take a look here: [https://youtu.be/4OjENXR6UXA](https://youtu.be/4OjENXR6UXA)

What We Do

Healthcare organizations and technology vendors connect to Redox once, then authorize what data they send to and receive from partners through a centralized hub. Redox’s cloud-based platform is vendor and standards-agnostic and enables the secure and efficient exchange of healthcare data.

This approach eradicates the need for point-to-point integrations and accelerates the discovery, adoption, and distribution of patient and provider-facing technology solutions. With hundreds of healthcare organizations and technology vendors exchanging data today, Redox represents the largest interoperable network in healthcare. Learn how you can leverage the Redox platform at [www.redoxengine.com](http://www.redoxengine.com).

Other Stuff About Us

Redox is an EEO company. We fully support the diversity of our team. As part of our ongoing work to build more diverse teams at Redox, you will be asked to complete a voluntary EEO survey when applying. This survey is anonymous, we cannot link your application record with your survey responses. We request that you complete this voluntary survey as we run monthly reports for each team which provides data for diversity in terms of gender and ethnic background in our Applicants and our Hired Redoxers. We take this data very seriously and appreciate your willingness and time to complete this step in the process.

Successful candidates must be eligible to be employed in the U.S. and must reside & work in the continental U.S.

Thank you for your interest in Redox!

#LI-TA1

Show more

[Apply now >](https://jobicy.com/jobs/160303-staff-platform-engineer-3.md)

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![Upload CV](data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2NSIgaGVpZ2h0PSI2NSIgZmlsbD0ibm9uZSIgeG1sbnM6dj0iaHR0cHM6Ly92ZWN0YS5pby9uYW5vIj48ZyBjbGlwLXBhdGg9InVybCgjQSkiPjxwYXRoIGQ9Ik0wIDBINjVWNjVIMFYwWiIgZmlsbD0iIzAyOWFlYiIvPjxnIGZpbGw9IiNmZmYiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIj48cGF0aCBkPSJNMzMuMDQ5IDE1LjQ1NGExLjQzIDEuNDMgMCAwIDAtMi4wOTcgMGwtNy41NzkgOC4xNDdhMS4zOCAxLjM4IDAgMCAwIC4wOSAxLjk3MyAxLjQ0IDEuNDQgMCAwIDAgMi4wMDgtLjA4OGw1LjEwOS01LjQ5MnYyMC42MWExLjQxIDEuNDEgMCAwIDAgMS40MjEgMS4zOTdjLjc4NSAwIDEuNDIxLS42MjUgMS40MjEtMS4zOTd2LTIwLjYxbDUuMTA5IDUuNDkyYTEuNDQgMS40NCAwIDAgMCAyLjAwOC4wODggMS4zOCAxLjM4IDAgMCAwIC4wOS0xLjk3M2wtNy41NzktOC4xNDZ6TTE2Ljc2OSAzOC40YzAtLjc3My0uNjItMS40LTEuMzg1LTEuNFMxNCAzNy42MjcgMTQgMzguNHYuMTAybC4yMTUgNi4yMjljLjIyMyAxLjY4LjcwMSAzLjA5NSAxLjgxMyA0LjIxOHMyLjUxIDEuNjA3IDQuMTcyIDEuODMzYzEuNi4yMTggMy42MzYuMjE4IDYuMTYuMjE4aDExLjI4bDYuMTYtLjIxOGMxLjY2Mi0uMjI2IDMuMDYxLS43MDkgNC4xNzItMS44MzNzMS41ODktMi41MzggMS44MTMtNC4yMThDNTAgNDMuMTEzIDUwIDQxLjA1NSA1MCAzOC41MDNWMzguNGMwLS43NzMtLjYyLTEuNC0xLjM4NS0xLjRzLTEuMzg1LjYyNy0xLjM4NSAxLjRsLS4xOSA1Ljk1OGMtLjE4MiAxLjM3LS41MTUgMi4wOTUtMS4wMjYgMi42MTJzLTEuMjI4Ljg1My0yLjU4MyAxLjAzOGMtMS4zOTUuMTktMy4yNDMuMTkzLTUuODkzLjE5M0gyNi40NjJjLTIuNjUgMC00LjQ5OC0uMDAzLTUuODkzLS4xOTMtMS4zNTUtLjE4NC0yLjA3Mi0uNTIxLTIuNTgzLTEuMDM4cy0uODQ0LTEuMjQyLTEuMDI2LTIuNjEyYy0uMTg3LTEuNDEtLjE5MS0zLjI3OS0uMTkxLTUuOTU4eiIvPjwvZz48L2c+PGRlZnM+PGNsaXBQYXRoIGlkPSJBIj48cGF0aCBmaWxsPSIjZmZmIiBkPSJNMCAwaDY1djY1SDB6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightЭто высокоуровневая staff-позиция, требующая более восьми лет практического опыта эксплуатации AWS и Kubernetes в production, а также самостоятельного ведения неоднозначных инициатив. Сложность повышают требования к безопасности медицинских данных, надёжности платформы, on-call и внедрению AI-агентов в инженерные процессы.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$197,500US market range (per year)$180k–$235k0$258.50k

AI insightРаботодатель указывает базовую годовую зарплату $185,000–$210,000 USD, с медианой $197,500. Это конкурентоспособный диапазон для Staff Platform Engineer в США; оценочный рыночный диапазон составляет $180,000–$235,000 в год и не включает опционы, бонусы или льготы.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Amazon EKS](https://jobicy.com/jobs?search_keywords=Amazon%20EKS.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[GitOps](https://jobicy.com/jobs?search_keywords=GitOps.md)[ArgoCD](https://jobicy.com/jobs?search_keywords=ArgoCD.md)[GitHub Actions](https://jobicy.com/jobs?search_keywords=GitHub%20Actions.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[OpenTelemetry](https://jobicy.com/jobs?search_keywords=OpenTelemetry.md)[Cloud Security](https://jobicy.com/jobs?search_keywords=Cloud%20Security.md)

Sample interview questionsHow have you taken an ambiguous platform problem from initial concept to reliable production implementation?I begin by clarifying the desired business and operational outcomes, documenting assumptions and risks, and building a small prototype to validate the highest-risk decisions. After gathering feedback and defining success metrics, I productionize the solution with automated testing, security controls, observability, rollback procedures, and clear ownership documentation.

Describe your experience operating Kubernetes clusters in production on AWS.

I have managed production Kubernetes environments across cluster lifecycle activities such as upgrades, node provisioning, autoscaling, workload reliability, IAM integration, networking, and incident response. I use infrastructure as code and GitOps workflows to make cluster changes repeatable, reviewable, and reversible.

How would you enable AI agents to perform infrastructure or operational work safely?

I would use least-privilege, short-lived identities, narrowly scoped tools, explicit policy controls, and isolated execution environments. Every action should be logged, observable, auditable, and protected by approval or escalation paths for high-impact changes, with tested rollback mechanisms and clear human ownership.

What approach do you use to improve platform reliability while reducing operational toil?

I prioritize recurring manual work and reliability risks using incident data, support burden, and service-level objectives. I then automate predictable tasks with guardrails, tests, alerts, and runbooks, while simplifying tooling and standardizing paved paths so engineers can make safe choices by default.

How do you communicate technical trade-offs to senior engineers and non-technical stakeholders?

I write concise proposals that state the problem, options, constraints, risk profile, cost implications, and recommendation. I tailor the level of detail to the audience, invite early feedback, and clearly document the final decision, its rationale, and the metrics used to evaluate it.

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