Deployment & DevOps Engineer deploying BMI’s wireless and software solutions. Managing Kubernetes, CI/CD, Linux, networking, and customer integrations.
About the role
- Site Reliability Engineer managing AWS and Kubernetes reliability for Rentsync’s rental-property software products. Leading incident response, observability, automation, and infrastructure hardening.
Responsibilities
- Act as first responder for production alerts and incidents across services, from triage through resolution
- Diagnose and fix issues directly in AWS and Kubernetes, including failing pods, resource exhaustion, bad deployments, networking/DNS, database, and cache problems
- Roll back, scale, reconfigure, or patch infrastructure to restore service quickly
- Escalate to development teams only when a code change is needed, providing a clear diagnosis
- Own PagerDuty setup and business-hours incident response while reducing MTTD and MTTR
- Run blameless post-mortems and drive technical follow-up work
- Automate runbooks and repetitive operational work, including AI-assisted triage, investigation, and remediation
- Build and maintain monitoring for Kubernetes workloads and services using Prometheus/Mimir, Loki, Tempo, Grafana, and OpenTelemetry
- Monitor production releases and identify regressions in latency, errors, or resource usage
- Create and maintain synthetic checks, smoke tests, health checks, and load/performance tests
- Partner with engineering teams on performance and reliability issues and define SLOs, SLIs, and error budgets
- Harden the platform through Terraform changes, Kubernetes resource tuning, autoscaling, CI/CD checks, secrets, and IAM improvements
- Maintain service documentation and architecture decisions
Requirements
- 3+ years in a cloud engineering, DevOps, or SRE role supporting production web applications
- Hands-on production incident response experience, including diagnosing and fixing issues directly
- Strong hands-on AWS production experience with EKS, EC2, RDS, VPC networking, IAM, and CloudWatch
- Deep production Kubernetes experience, including troubleshooting, debugging, and monitoring workloads
- Experience identifying and resolving performance and reliability issues with engineering teams
- Experience with monitoring and observability tools such as Prometheus, Grafana, Loki, Datadog, or CloudWatch
- Experience with on-call and alerting tools such as PagerDuty
- Experience building automated production reliability tests or checks, including synthetic, smoke, health, or load tests
- Willingness to participate in a future after-hours on-call rotation
- Infrastructure as code with Terraform and comfort working in CI/CD pipelines
- Solid Linux, networking, and container fundamentals
- Scripting/automation in Bash, Python, or similar
- Calm, clear communication during incidents and across teams
- Preferred: AI tools for SRE work; Azure and possibly GCP; multiple technology stacks; AWS certification; LGTM or OpenTelemetry at scale; k6, Locust, or JMeter; MySQL/PostgreSQL operations; Redis/Memcached tuning; Cloudflare; cloud cost optimization and capacity planning
Benefits
- Remote position
- Preferential consideration may be given to individuals within a reasonable commuting distance of one of the offices
- Equal opportunity employer
- Unique accommodations available during the interview process
- Potential criminal background check in the final interview phase
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