[Hiring] Staff Software Engineer, Infrastructure - Rad AI | Remote - US | Salary $175K - $230K | JobSetuu
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Job Description
## **About Rad AI** At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI‑driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting‑edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one‑third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and [AuntMinnie](https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software), and ranked by [Deloitte](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html) as the 19th fastest‑growing company in North America, we are building AI‑powered solutions that make a real impact. Most recently, Rad AI was named to [CNBC’s Disruptor 50](https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html) list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! **Why Join Us** The Platform Engineering organization at Rad AI builds the foundations that power all of our products—Reporting, Impressions, and Continuity—and enables product teams to ship reliably, safely, and at scale. Within Platform, the Infrastructure team owns our core cloud infrastructure, platforms, and reliability practices. We’re hiring a Staff Software Engineer to help us design and operate robust, scalable systems. In this role, you’ll contribute to infrastructure architecture, reliability practices, and thoughtful improvements to our workflows. If you’re passionate about building resilient platforms and enjoy collaborating across functions, we’d love to hear from you. **What You’ll Be Doing:** - Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite. - Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products. - Work closely with Platform leadership, product engineering, data, and ML teams to design systems that are robust, observable, and compliant in a healthcare environment. - Define and drive infrastructure strategy for the Platform org—partnering with engineering leadership to align roadmaps, set standards, and sequence work for maximum business impact. - Secure networking, identity, and access patterns across environments. - Improve reliability and operational excellence by defining SLOs, SLIs, and error budgets for core platform services. - Leading and participating in blameless post‑incident reviews and translating learnings into systemic improvements. - Own observability and monitoring strategy across logging, metrics, and tracing, ensuring we can detect, debug, and prevent issues efficiently. - Mentor and level up engineers across Platform and product teams—reviewing design docs, guiding architecture decisions, and modeling high standards for reliability, security, and maintainability. - Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements. - Advocate for and implement developer experience improvements, such as better CI/CD workflows, faster feedback loops, and tooling that reduces cognitive load for product teams. **Who We’re Looking For** - Bring 8+ years of hands‑on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud‑native environments, with a track record of owning critical systems in production. - Have deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services. - Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred). - Extensive experience building tooling and automation for other engineers. - Have strong experience with Kubernetes, containers (Docker), and container orchestration, and understand how to operate these systems reliably at scale. - Are comfortable with Infrastructure as Code (Terraform preferred, Pulumi, or similar) and Git‑based workflows. - Possess solid Linux fundamentals and are comfortable debugging issues at the OS, networking, and application layers. - Have demonstrable experience leading complex, cross‑team initiatives from design through rollout—communicating tradeoffs, aligning stakeholders, de‑risking launches, and measuring impact. - Communicate clearly and empathetically with both technical and non‑technical partners, and enjoy mentoring engineers at multiple levels. - Take a data‑informed, pragmatic approach to decision‑making—balancing ideal architecture with business needs, delivery timelines, and team capacity. **Nice to Haves** - Experience in regulated environments (e.g., HIPAA) or prior work in healthcare or healthtech. - Background in platform or security engineering, especially around access control, encryption, auditability, and compliance. - Experience working closely with ML / data teams or with ML platforms (e.g., Airflow, Ray, ML pipelines, model serving stacks). - Familiarity with observability stacks (CloudWatch, New Relic, Grafana, OpenTelemetry, etc.). - Experience designing or operating internal developer platforms, SDKs, or reusable frameworks that standardize how services are built and deployed. - Prior experience at a fast‑growing startup where you’ve helped scale infrastructure, processes, and teams. Join our world‑class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit [https://www.radai.com/life-at-rad-ai](https://www.radai.com/life-at-rad-ai). **For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:** - *Comprehensive Medical, Dental, Vision & Life insurance* - *HSA (with employer match), FSA, & DCFSA * - *401(k)* - *11 Paid Company Holidays* - *Flexible PTO policy* - *Annual company‑wide offsite* - *Periodic team offsites* - *Annual equipment stipend* - *For roles based outside the US, your recruiter can share more details* **At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.**Expert Career Tips for [Hiring] Staff Software Engineer, Infrastructure - Rad AI | Remote - US | Salary $175K - $230K Roles
To succeed in a competitive market as a [Hiring] Staff Software Engineer, Infrastructure - Rad AI | Remote - US | Salary $175K - $230K, you need more than just technical skills. Here are some expert strategies to elevate your profile:
- Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
- Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
- Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with [Hiring] Staff Software Engineer, Infrastructure - Rad AI | Remote - US | Salary $175K - $230K requirements.
- Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
- Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.
Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.
Salary & Compensation
Salary not disclosed; typically competitive for the role.
Work Arrangement
Type: On-Site
Standard business hours at the office.
Comprehensive Application Strategy & Hiring Process
Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:
1. Initial Research & Tailoring
Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.
2. The Perfect Cover Letter
If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.
3. Navigating the Multi-Stage Interview
Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.
4. Post-Interview Follow-Up
Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.
By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.
Typical Interview Process
- Resume screening
- HR call
- Skill interview
- Final manager interview
- Offer
Tip: Research the company's products and culture.
Global Market Intelligence & Relocation Insights
At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:
The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.
Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.
Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.
Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.
Skills & Competency Roadmap for Professional Development
To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:
- Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
- AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
- Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
- Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.
By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.
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