7 дней назад
Staff Software Engineer (Cloud Infrastructure & Systems Engineering)
130 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Cloud Infrastructure & Systems Engineering): Building and operating secure, highly available AWS infrastructure, deployment pipelines, observability, and AI-enabled systems with an accent on infrastructure automation, reliability, security, and disaster recovery. Focus on designing scalable cloud architectures, implementing AI DevOps practices, and solving complex distributed-systems problems across engineering, security, and compliance.
Location: Salt Lake City, United States; hybrid model with 3 days in-office and 2 days working from home or flexibly
Base salary: $130,000–$210,000 per year
Company
develops an AI-enabled platform that automates tax reporting and compliance for digital assets, payments, and other financial transactions.
What you will do
- Design, build, and operate secure, highly available AWS infrastructure for the platform and products.
- Own infrastructure as code with AWS CDK or Terraform and build reliable CI/CD pipelines with GitHub Actions.
- Define backup, disaster recovery, data storage, and processing strategies for scalable and cost-efficient cloud systems.
- Implement centralized logging, monitoring, observability, and security guardrails across the development lifecycle.
- Automate infrastructure provisioning, deployments, and operational workflows while resolving complex distributed-systems issues.
- Develop AI DevOps practices for deploying, monitoring, and operating AI-enabled systems and pipelines in production.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- Significant systems or infrastructure engineering experience with deep hands-on AWS expertise.
- Strong programming skills in Python, TypeScript, or an equivalent language.
- Hands-on experience with CI/CD, GitHub, and infrastructure as code; AWS CDK is preferred and Terraform is acceptable.
- Experience with backup and disaster recovery, data architecture, observability, workflow automation, and debugging distributed systems.
- Understanding of AI governance and AI security risks, including access controls, prompt injection, and secure AI tooling.
Culture & Benefits
- Hybrid work with flexibility in how work is performed.
- Equity through RSUs and a competitive benefits package.
- 401(k) plan with access to crypto and financial wellness benefits.
- Discretionary time off and paid parental leave.
- Fertility benefits, team lunches, snacks, and drinks.
- Autonomous work in a collaborative, fast-paced environment.
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