All remote jobs

Site Reliability Engineer

AI Summary
Orkes is seeking a senior Site Reliability Engineer to own the reliability, availability, and performance of a cloud-based distributed workflow platform. The role focuses on defining SLIs and SLOs, incident response, observability, automation, capacity planning, and operational tooling for Kubernetes-based systems. Candidates need at least five years of SRE, DevOps, platform engineering, or related infrastructure experience, with strong cloud and distributed-systems expertise. The position works closely with engineering teams and serves as an escalation point for complex production issues. It is a full-time remote role available in Australia and EMEA, with occasional travel of 15–20%.
Remote from
Australia, EMEA
Salary
USD 125k–250k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
10 Dec 2026
Listing views
38
Application actions
3
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

About this role.

Who We Are

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.

What You’ll Do

  • 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


What We’re Looking For

  • 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 Have

  • 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


Why Join Orkes?

  • Work alongside a deeply technical and collaborative engineering team

  • Solve complex distributed systems challenges at scale

  • High ownership and impact in a fast-growing company

  • Remote-friendly culture with strong engineering autonomy

  • Opportunity to help shape the future of cloud orchestration and AI workflows

More Details:

The base salary for this role is $125,000-250,000 USD. However, pay is variable and when determining compensation, a number of factors will be considered: skills, years of experience, job scope, location/cost of living, and competitive compensation market data for your country/role.

  • Start Date: ASAP

  • Status: Full-time

  • Type: Remote

  • Location: Australia, EMEA

  • Department: Engineering

  • Reports to: Head of Engineering

  • Travel: 15-20%

Benefits

  • Comprehensive health coverage including medical, dental, and vision

  • Flexible PTO

  • Support for personal development

At Orkes, we are committed to building a team that reflects a rich tapestry of perspectives, identities, and professional experiences. We believe that diversity is not just a checkbox, but a driving force behind innovation, creativity, and success. By embracing a variety of backgrounds, we cultivate an inclusive environment where every team member feels valued and empowered to bring their authentic selves to work.

Join us at Orkes and be a part of a team where your unique perspectives are not only welcomed but celebrated. Together we are shaping the future technology by leveraging the strength that comes from embracing diversity in all its forms. Your Journey with us is an opportunity to contribute to something greater and make a lasting impact.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior production-infrastructure role responsible for reliability of large-scale, mission-critical distributed systems. It requires deep hands-on expertise and calm, effective technical leadership during incidents.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$187,500
US market range (per year)$130k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly states a yearly base-salary range of USD 125,000–250,000. The midpoint is USD 187,500 per year; the estimated market range is USD 130,000–220,000 per year for a senior SRE, varying materially by eligible country, experience, and scope.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you introduce SLIs, SLOs, and error budgets for a critical workflow orchestration service?

I would identify user-impacting journeys such as workflow submission, execution, and completion, then define measurable availability, latency, and correctness indicators. I would set SLO targets from historical performance and customer expectations, create actionable alerts tied to error-budget burn, and review the results regularly with engineering teams.

Describe your approach to a high-severity production incident in a Kubernetes environment.

I first establish incident ownership, impact, scope, and a communication cadence. I use dashboards, logs, traces, deployment history, and Kubernetes events to isolate the likely failure domain, mitigate customer impact quickly through rollback, scaling, or traffic controls, then lead a blameless postmortem with clear follow-up actions.

How have you reduced operational toil through automation?

I identify repetitive work from incident records and operational requests, prioritize tasks with high frequency or risk, and automate them through infrastructure as code, scripts, CI/CD workflows, or self-service tooling. I also document runbooks and measure whether the automation reduces response time and manual intervention.

What observability design would you recommend for a distributed, event-driven platform?

I would implement the three core telemetry pillars: metrics for service health and SLOs, structured logs for diagnostic context, and distributed tracing for request paths across services. I would standardize correlation IDs, instrument critical workflow stages, build service dashboards, and configure alerts around meaningful user impact rather than raw infrastructure noise.

How do you balance reliability work with feature-delivery priorities?

I use error-budget consumption, incident trends, capacity risk, and customer impact to make reliability risk visible. When service health is within objectives, teams can move quickly; when the budget is exhausted or risks are material, I partner with product and engineering to prioritize resilience, remediation, and preventative work.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Next step

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Add alert
Jobs Talent AI Tools Salaries
Menu