Senior Infrastructure Engineer

Bastion

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in infrastructure engineering or DevOps roles
  • Strong expertise in AWS services and architecture
  • Proficient in infrastructure-as-code with Terraform
  • Hands-on experience with Kubernetes and CI/CD pipelines
  • Knowledge of observability tools like Datadog and Grafana
  • Solid grasp of security best practices in cloud environments

Responsibilities

  • Learn and navigate the existing infrastructure within the first month
  • Implement small infrastructure improvements to enhance functionality
  • Take ownership of a specific infrastructure domain by the 90-day mark
  • Lead medium-scope projects to improve deployment reliability and resource management
  • Drive platform-wide initiatives to standardize infrastructure and optimize performance
  • Collaborate with teams to make pragmatic decisions balancing reliability and cost
  • Shape infrastructure strategy through documentation and mentorship

Benefits

  • Flexible remote work options within the US
  • Opportunity to work in a fast-paced startup environment
  • Collaborative culture promoting learning and ownership
  • Access to cutting-edge technology and tools
  • Support for career growth and professional development
Full Job Description
Work to Be Done

Instead of a list of requirements, we want to give you a directional look into the first 30, 90, and 180 days on the job.

We are a startup, so the pace is fast and the specific work will change. You need to be okay with that.

If you think this is something you can handle, we will be excited to speak with you.

We are open to US remote and have an office in New York City.

First 30 days: Learn the infrastructure, ship confidently
  • Ramp on AWS architecture, Terraform patterns, Kubernetes setup, CI/CD pipelines, and observability stack
  • Ship a small infrastructure improvement: Terraform module refactor, monitoring enhancement, or CI/CD optimization
  • Add runbooks, alerts, or documentation for the infrastructure areas you touch
  • Outcomes
    • Multiple safe infrastructure changes deployed with verification
    • You understand our core infrastructure patterns and can navigate Terraform, K8s, and AWS resources
    • Updated documentation and/or infrastructure-as-code improvements that help the team
By 90 days: Own an infrastructure domain and raise the bar
  • Take ownership of an infrastructure area: CI/CD pipelines, observability stack, Kubernetes platform, or AWS security/networking
  • Lead a medium-scope project: implementing a reusable Terraform module, right-sizing service resources, or improving deployment reliability
  • Strengthen system reliability with better metrics, alerts, autoscaling policies, and failure recovery mechanisms
  • Outcomes
    • A delivered infrastructure improvement that enhances reliability, reduces cost, or improves developer velocity
    • You're a go-to person for your infrastructure domain
By 180 days: Drive platform-wide impact
  • Lead a platform-wide initiative: single immutable image pipeline, infrastructure standardization, database performance optimization, or security hardening
  • Shape infrastructure direction with design docs, RFC proposals, and mentoring engineering teams
  • Partner with engineering, security, and compliance teams to make pragmatic tradeoffs on reliability, cost, and regulatory requirements
  • Outcomes
    • A multi-sprint infrastructure delivery that improves system-wide reliability, security, or developer experience
    • Clear before/after improvements in deployment speed, cost efficiency, or operational stability
    • Patterns and tooling that enable engineers to ship faster and safer
Some problems you might work on
  • Building reusable Terraform modules that standardize service deployment patterns across dev, sandbox, and prod
  • Implementing single immutable image pipelines with built-in security scanning and promotion workflows
  • Right-sizing Kubernetes workloads and autoscaling policies to reduce cost while maintaining reliability
  • Designing and implementing database monitoring and performance optimization strategies
  • Hardening AWS infrastructure with security best practices: IAM policies, network segmentation, secrets management, and audit logging
  • Building observability infrastructure that gives engineers fast feedback on system health and performance
  • Improving CI/CD reliability and speed through better caching, parallelization, and failure handling
Our typical stack
  • Languages: Go and TypeScript/Node.js; some services in Rust as needed
  • Infrastructure-as-Code: Terraform
  • Cloud & Compute: AWS (ECS, EKS, Lambda, EC2), Kubernetes, Docker
  • CI/CD: GitHub Actions, container registries, automated testing and deployment pipelines
  • Data: Postgres (RDS), Redis, Kafka, Snowflake
  • Workflow Management: Temporal
  • Security: AWS Nitro Enclaves for hardware-backed key isolation, IAM policies, secrets management
  • Observability: Datadog, Grafana, Sentry, CloudWatch
  • Incident Management: Incident.io

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