Application Guide
How to Apply for Sr. Staff SRE
at Archer
🏢 About Archer
Archer is revolutionizing urban transportation by developing climate-friendly electric vertical takeoff and landing (eVTOL) aircraft, positioning itself at the forefront of sustainable air mobility. The company combines aerospace engineering with cutting-edge technology to solve complex transportation challenges in an inclusive, mission-driven environment focused on making urban air travel accessible and environmentally responsible.
About This Role
As a Sr. Staff SRE at Archer, you'll be responsible for ensuring the reliability, scalability, and security of critical systems supporting both aerospace operations and internal AI services like their LLM-powered chat platform. This role directly impacts flight safety and operational efficiency by maintaining robust cloud-native infrastructure on Amazon EKS and implementing comprehensive observability solutions for their unique aerospace technology stack.
💡 A Day in the Life
A typical day involves collaborating with aerospace engineering teams to ensure flight-critical systems maintain 99.9%+ availability while working on infrastructure automation for their EKS clusters. You might troubleshoot a data pipeline issue affecting their LLM chat service, implement new Grafana dashboards for better system observability, and participate in architecture reviews for upcoming aircraft software deployments.
🚀 Application Tools
🎯 Who Archer Is Looking For
- Has 3+ years of hands-on experience with Amazon EKS cluster provisioning, management, and troubleshooting in production environments
- Demonstrates extensive expertise implementing observability solutions using Prometheus, Grafana, and ELK stack for complex distributed systems
- Possesses proven experience designing and maintaining data pipelines with Kafka, Airflow, or Spark in cloud-native architectures
- Shows passion for both aerospace innovation and AI/ML infrastructure, with experience supporting LLM services or similar AI workloads
📝 Tips for Applying to Archer
Highlight specific EKS experience with metrics - mention cluster sizes, availability SLAs, and automation tools you've used (like eksctl, Terraform, or Crossplane)
Detail your observability implementation experience with concrete examples of how you've used Prometheus/Grafana to solve reliability issues in production systems
Demonstrate understanding of Archer's dual focus by connecting your SRE experience to both aerospace reliability requirements and AI/ML infrastructure needs
Include examples of data pipeline work with Kafka/Airflow/Spark that show scalability and fault tolerance for critical business systems
Reference Archer's sustainability mission and explain how your SRE practices align with their climate-friendly technology goals
✉️ What to Emphasize in Your Cover Letter
["Your experience with Amazon EKS in production environments and how you've ensured high availability for critical systems", 'Specific examples of implementing observability solutions that improved system reliability or reduced incident response times', "How your data pipeline experience supports scalable AI/ML services similar to Archer's LLM-powered chat service", "Why you're passionate about applying SRE principles to aerospace technology and sustainable transportation solutions"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Archer's Midnight aircraft specifications and how their eVTOL technology differs from traditional aviation
- → The company's recent partnerships with United Airlines and other stakeholders in urban air mobility
- → Archer's sustainability reports and their specific environmental impact goals
- → Recent technical blog posts or conference talks by Archer engineers about their infrastructure challenges
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Generic SRE experience without specific examples related to EKS, observability tools, or data pipelines mentioned in the requirements
- Focusing only on traditional web applications without demonstrating understanding of aerospace reliability requirements or AI/ML infrastructure needs
- Presenting yourself as purely operational without showing experience in infrastructure-as-code, automation, and proactive reliability engineering
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!