8 часов назад
Senior Software Engineer (AWS/Kubernetes)
160 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AWS/Kubernetes): Building and operating resilient cloud infrastructure and platform systems for AI-powered healthcare products with an accent on Kubernetes, AWS, infrastructure as code, and production reliability. Focus on designing scalable platforms, improving developer tooling, leading blameless incident reviews, and managing monitoring and on-call operations.
Location: Remote, United States
Salary: $160,000–$215,000 estimated annual base salary, plus equity
Company
develops artificial intelligence solutions for radiology and healthcare, using proprietary radiology data and generative AI to improve reporting, patient care, and physician workflows.
What you will do
- Architect and evolve AWS cloud infrastructure across Kubernetes, Elastic Container Service, Lambda, EC2, and data stores.
- Collaborate with engineering leadership, machine learning, data science, and product partners on the platform vision.
- Develop tooling that improves engineering productivity and developer experience.
- Promote sustainable incident response and lead blameless post-incident reviews.
- Manage network and systems monitoring, design alert strategies, and participate in an equitable on-call rotation.
Requirements
- 6+ years of hands-on infrastructure or platform development experience in modern cloud-native environments, or equivalent practical experience.
- Experience owning critical production systems and operating Kubernetes in production, including cluster lifecycle management, scaling, and container security.
- Proficiency in Python and/or Bash, plus familiarity with infrastructure as code tools such as CDK, Terraform, or Pulumi.
- Strong familiarity with AWS and/or GCP, networking fundamentals, and command-line Linux environments.
- Experience designing complex systems, mentoring others in technical design, scoping project work, and delivering projects independently.
- Clear, respectful communication and collaboration skills, including delegation and feedback.
Nice to have
- Deep Linux troubleshooting, including kernel and driver debugging.
- Experience in regulated environments such as HIPAA or at early-stage startups.
- Healthcare, security, or machine learning background.
- Familiarity with HL7, radiology workflows, OpenTelemetry, Grafana, Spark, or Hadoop technologies.
Culture & Benefits
- Mission-driven work developing AI solutions for healthcare and radiology.
- Transparent, inclusive, and collaborative working environment.
- Medical, dental, vision, and life insurance for US-based full-time roles.
- HSA with employer match, FSA, DCFSA, 401(k), and 11 paid company holidays.
- Flexible PTO, company-wide and team offsites, and an annual equipment stipend.
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