Cloud Site Reliability Engineer (SRE)
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ECS Tech Inc
Arlington, VA, US
Summary
The role involves designing and building automated self-healing systems to ensure operational readiness and reliability for federal cloud platforms. You will define SLOs, enforce infrastructure-as-code standards, and lead incident management processes to minimize manual intervention.
Job Description
Everforth ECS is seeking a Cloud Site Reliability Engineer (SRE) to work in our Arlington, VA office/remotely.
Our Philosophy
We believe the job of an SRE is to engineer the cloud to run itself. That means writing software and automation that lets systems detect and recover from failure on their own, rather than relying on someone to notice an alert and manually fix it. When something breaks, self-healing comes first, deep root-cause debugging happens after service is restored, not instead of it. We’re looking for someone who automates the operational task by default, not documents the runbook for doing it by hand.
About the Role
This role owns reliability and operational readiness for production systems across our federal cloud platform (AWS GovCloud, IL5 zero-trust). You’ll define what “reliable enough” looks like for our services, build the automation that gets us there, and do it all on an infrastructure-as-code (IaC) foundation.
Responsibilities
Self-Healing Operations
- Design and build automated remediation so systems detect, respond to, and recover from failure without manual intervention
- Shift the team’s posture from “is it running, how do we fix it” to “how do we make it fix itself”
- Automate service restoration first; investigate root cause after
Uptime Goals & Reliability
- Define reasonable, data-driven SLOs and error budgets for critical services alongside the teams that own them
- Use live metrics to decide what’s “reliable enough” and where to invest next
Infrastructure
- Enforce infrastructure-as-code and configuration-as-code, no manual tech change
- Own Terraform standards and reusable modules adopted across programs
- Drive a containerization-first approach with production-scale Kubernetes (multi-tenancy, security policies, advanced scheduling)
- Set CI/CD and pipeline-as-code standards, including progressive delivery
Observability & Incidents
- Build monitoring, logging, alerting, and tracing (Datadog, Splunk) that gives automation the signal it needs to self-correct
- Own the incident framework: escalation, restoration, root cause analysis, and post-incident review that closes the loop with more automation
Collaboration & Leadership
- Partner with development and contractor teams leads to embed reliability and automation across the software
- Mentor engineers toward this same automation-first philosophy
- Support ATO/RMF and FedRAMP High compliance as it relates to infrastructure and automation
Salary Range: $130,000 - $180,000
General Description of Benefit
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent practical experience)
- 5+ years of SRE experience (or equivalent), with demonstrated technical leadership
- 10 years of general work experience
- Track record building self-healing/auto-remediating systems, not just dashboards
- Jenkins experience
- Expert AWS knowledge, GovCloud experience strongly preferred
- Deep Kubernetes and Terraform expertise at production scale
- Strong software engineering background (Python and/or Go)
- Experience operating observability platforms (Grafana, Splunk, Prometheus, Loki, etc.)
- Proven incident command and postmortem experience
- Strong communication skills across technical and federal leadership audiences
- Ability to obtain/maintain required government clearance or suitability (CAC/PIV as applicable)
- US Citizenship
