Senior Software Engineer

About the Role

Key Responsibilities

• Design and manage scalable Kubernetes infrastructure across cloud (AWS) and edge environments for large-scale data workloads.
• Develop automation and infrastructure tooling in Python, enabling self-service deployment, monitoring, and orchestration for engineering and data teams.
• Define and manage infrastructure as code using Terraform, ensuring reproducibility and security.
• Collaborate with stakeholders to align infrastructure with dynamically evolving requirements.
• Implement robust observability, monitoring, and alerting across heterogeneous environments.
• Support visualization and presentation tools that help Scientists and Engineers realize value from data.
• Work with operations teams to diagnose and resolve complex network connectivity and bandwidth issues in remote and constrained environments (e.g., aircraft hangars, mobile units, trucks), ensuring reliable data transmission between edge devices and central infrastructure.
• Diagnose and resolve production issues, drive root cause analysis, and advocate for continuous improvement.
• Mentor engineers and champion best practices in infrastructure development and operational excellence.

Requirements

• University degree in computer science, computer engineering, physics, mathematics, or similar field.
• 6+ years of experience in relevant industry.
• Strong system software development background, with experience building automation tools, services, or internal platforms using Python and/or Bash.
• Deep hands-on experience with Kubernetes, including both cloud-native and edge (e.g., K3s, MicroK8s) deployments.
• Proficiency in Terraform and version-controlled infrastructure as code practices.
• Extensive experience with AWS, including EKS, EC2, IAM, S3, VPC, and related services.
• Strong understanding of Linux systems administration and security best practices.
• Deep knowledge of networking, including VPC architectures, VPNs, routing, and troubleshooting techniques.
• Ability to support and work closely with colleagues in aircraft design, systems engineering, test engineering, flight test operations, data analytics, and machine learning.
• Experience operating and supporting reproducible, scalable 24x7 systems.

Nice to Have

• Familiarity with observability tools such as Prometheus and/or Grafana.
• Experience using Ansible for complex configuration management projects.
• Understanding of database concepts and experience with SQL and/or time series databases.

Qualifications

• Educational background with a university degree in relevant fields such as computer science, engineering, physics, or mathematics.

Benefits & Perks

• Competitive compensation including base pay and Restricted Stock Units (RSUs).
• Target base pay range of $132,200 - $176,200 per year, determined by experience and skills.
• Comprehensive benefits package including paid time off, healthcare benefits, 401(k) plan with company match, employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.