or apply directly on Flowcode's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Flowcode's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 57% of Flowcode's roles list one
- Ghost-job risk at Flowcode
- high 5 stale, 0 reposted of 7 open
- Hiring momentum
- 10 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Flowcode's own greenhouse board since 2026-08-03. Full hiring picture for Flowcode.
About this role
The Senior Site Reliability Engineer (SRE) at Flowcode will focus on enhancing the reliability and infrastructure of the company's platforms. Daily responsibilities include managing AWS infrastructure, improving system availability, contributing to incident response, and optimizing deployment pipelines. The role requires collaboration with engineering teams to ensure systems are scalable and resilient, while also overseeing observability and monitoring practices.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Flowcode as an employer.
What you need
- 4+ years of professional experience across SRE, DevOps, or Platform Engineering domains
- Technical proficiency in Kubernetes, including cluster troubleshooting and managing controllers or CRDs
- Advanced Terraform or OpenTofu expertise, encompassing module architecture and production state management
- Hands-on operational experience with GitOps workflows via ArgoCD and Helm-based deployments
- Ability to author production-grade code in Go or Python alongside robust shell scripting
- Mastery of core AWS services, specifically EKS, Networking/VPC, RDS, and IAM
Nice to have
- Exposure to Crossplane or alternative Kubernetes-native solutions for infrastructure provisioning
- Deep observability experience utilizing Datadog or Prometheus to engineer SLOs, high-signal dashboards, and intelligent alerting
- Practical knowledge of modern secrets management frameworks and implementation
- Experience optimizing cluster efficiency through autoscaling technologies such as Karpenter or Cluster Autoscaler
Worth weighing
- No salary listed
- Company emphasizes a high-performance culture, which may not suit everyone
- Role requires balancing strategic projects with operational support, which can be demanding
Summarised from Flowcode's posting. Read the full original.
Listed by Flowcode on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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