hirly

Flowcode

Senior SRE Engineer

New York, Hybrid

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Role family
Engineering
Seniority
Senior
Country
US
Work mode
Remote-friendly
First seen by hirly
4 Sept 2026

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the posting

Senior SRE Reliability Engineer

  • Location: New York, NY (Hybrid) / Remote
  • Department: Engineering

The Role

Flowcode is seeking a Senior Site Reliability Engineer (SRE) to work on reliability and infrastructure efforts across our platforms. This role will help grow and drive our infrastructure strategy, operational rigor and observability while building and supporting the systems and tooling required to support Flowcode’s continued growth.

As an individual contributor within our engineering organization, you will develop and operate scalable cloud infrastructure, establish best practices around deployment and reliability, and partner closely with engineering teams to ensure systems are scalable, resilient and observable.

What You’ll Do

Reliability & Infrastructure

Improve system availability, scalability, and resilience across Flowcode's platforms

Own key pieces of our EKS-based infrastructure end-to-end

Contribute to incident response and postmortems, turning findings into durable fixes

Support engineering teams with infrastructure questions, escalations, and day-to-day unblocking

Cloud & Platform Engineering

Manage and scale our core AWS footprint (EKS, VPC, RDS) through Infrastructure as Code (Terraform)

Enhance disaster recovery and failover mechanisms to protect mission-critical workloads

Collaborate with product engineering to streamline and optimize internal developer experience

CI/CD & Deployment Automation

Design and scale deployment pipelines using GitHub Actions

Expand GitOps practices and tooling through ArgoCD

Facilitate secure delivery with automated validation and progressive rollout strategies

Observability & Monitoring

Oversee and optimize the organization's monitoring, logging, and alerting infrastructure

Develop high-signal metrics, tracing, and visualization dashboards while minimizing operational noise

Establish and monitor Service Level Objectives for managed platform components

Qualifications

Required

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

Experience maintaining and scaling CI/CD automation using GitHub Actions within collaborative environments

Proven track record of leading infrastructure initiatives from initial design through to long-term operation

Background in supporting large-scale distributed systems within high-availability production environments

Adept at navigating interrupt-driven workflows, balancing strategic project delivery with day-to-day operational support

Preferred

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

Flowcode is not for everyone. We hire with a pinhole lens — only those with the rare combination of intellectual horsepower, execution velocity, and uncompromising drive will thrive here. If you are seeking to operate at the highest levels of performance and impact, we want to meet you.

How to Apply

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

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