Site Reliability Engineer

Orkes

7h•$180,000 - $250,000•Onsite

About The Position

Building the Backbone of Distributed Applications. At Orkes, we are reimagining how developers build reliable, scalable, event-driven applications without wrangling complex infrastructure. Born from Netflix's battle-tested open-source project, OSS Conductor, our platform is now powering billions of mission critical workflows across fintech, e-commerce, logistics, healthcare, and more. Our platform powers billions of mission critical workflows across industries like fintech, e-commerce, logistics, and healthcare helping companies run the core operations of their business with confidence. These are the workflows behind every transaction, every delivery, every patient check-in, quietly orchestrating our digital world. We’re solving some of the hardest infrastructure problems: how do you make distributed systems reliable, observable, and scalable – without every team having to reinvent the wheel? We absorb the complexity of distributed systems, letting teams build with confidence. We’re hiring a SRE to help us evolve and scale our platform. If you’re passionate about clean, efficient architecture, love solving tough distributed systems challenges, and thrive in an environment where your ideas actually shape the product then we’d love to talk. And the best part is we’re just getting started.

Requirements

5+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or related infrastructure roles
Strong experience with cloud platforms such as AWS, GCP, or Azure
Hands-on experience with Kubernetes and containerized environments
Strong understanding of distributed systems and microservices architecture
Experience with observability tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry
Proficiency with infrastructure automation and scripting (Terraform, Python, Bash, etc.)
Experience managing CI/CD pipelines and deployment automation
Strong troubleshooting and incident management skills
Ability to work cross-functionally and communicate effectively during high-pressure situations

Nice To Haves

Experience supporting large-scale SaaS or cloud-native platforms
Familiarity with workflow orchestration technologies such as Conductor, Temporal, or Camunda
Experience with Kafka, messaging systems, or event-driven architectures
Knowledge of security best practices and cloud infrastructure hardening
Open-source contributions or strong systems engineering background

Responsibilities

Own reliability, availability, and performance of production systems running in cloud environments
Define and monitor SLIs/SLOs and help manage error budgets across the platform
Lead incident response efforts including detection, triage, mitigation, and postmortems
Improve observability through logging, monitoring, alerting, and dashboards
Automate operational workflows and reduce manual toil wherever possible
Partner closely with engineering teams to improve system resiliency and scalability
Assist with capacity planning, infrastructure optimization, and performance tuning
Build internal tooling, runbooks, and operational best practices
Support Kubernetes-based infrastructure and distributed systems at scale
Act as an escalation point for complex production and platform issues