Staff Site Reliability Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Site Reliability Engineer based in the United States.

The Staff Site Reliability Engineer will drive the reliability, security, and operational excellence of mission-critical cloud-native platforms supporting enterprise software solutions. In this senior technical role, you will design and evolve the foundational infrastructure, automation, and engineering practices that enable teams to deliver secure, scalable, and reliable software. You will take ownership of production resilience across AWS and Kubernetes environments, improving observability, deployment strategies, and incident management processes. Working closely with Engineering, Security, Platform, and Product teams, you will establish reliability standards, define service level objectives, and strengthen distributed system performance. You will also develop secure CI/CD pipelines, reduce operational complexity, and promote automation and self-service capabilities across engineering teams. This is an opportunity to influence technical strategy, mentor engineers, and shape the infrastructure and reliability practices of a global technology organization. Accountabilities

You will lead strategic and hands-on reliability engineering initiatives, ensuring production systems remain secure, resilient, scalable, and efficient. Your responsibilities will include:

• Drive site reliability engineering initiatives and operational excellence across mission-critical services running on AWS and Kubernetes.

• Design, implement, and continuously improve deployment, release, and rollback strategies for complex distributed systems.

• Build and maintain secure-by-default CI/CD pipelines with robust automation, governance, and policy-driven controls.

• Improve platform observability through metrics, logging, distributed tracing, and actionable alerting.

• Define, implement, and continuously mature Service Level Indicators (SLIs), Service Level Objectives (SLOs), and organization-wide reliability standards.

• Lead responses to high-severity production incidents, ensuring timely resolution, effective communication, and comprehensive post-incident reviews.

• Identify opportunities to reduce operational toil, improve system performance, and strengthen platform resilience.

• Partner with engineering teams to establish platform standards, optimize runtime performance, and integrate reliability best practices into the software development lifecycle.

• Architect and maintain scalable distributed systems and cloud infrastructure, with a focus on AWS and Kubernetes optimization.

• Implement infrastructure automation and secure operational workflows to support reliable and efficient software delivery.

• Mentor and guide engineers on cloud-native technologies, SRE principles, incident management, and operational excellence.

• Promote a culture of continuous improvement, accountability, technical collaboration, and knowledge sharing.

• Contribute to internal developer platforms and self-service engineering capabilities that improve developer productivity.

Requirements

The ideal candidate combines extensive Site Reliability Engineering experience with strong software engineering, cloud infrastructure, and technical leadership capabilities. You should bring:

• At least 8 years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or related cloud-native engineering roles.

• Deep expertise in AWS services, including EKS, IAM, VPC, Lambda, CloudFront, and S3, along with cloud networking and security best practices.

• Advanced hands-on experience operating, managing, and scaling production Kubernetes environments.

• Strong experience with Istio service mesh, including traffic management, security, observability, and resilience.

• Proven expertise in Infrastructure as Code (IaC), preferably using AWS CDK.

• Experience designing, building, and maintaining CI/CD pipelines using GitHub Actions or similar platforms.

• Strong troubleshooting, performance optimization, and incident management skills across distributed systems.

• Hands-on experience designing and operating monitoring, logging, tracing, and alerting solutions for cloud-native platforms.

• Strong knowledge of AWS CloudWatch, OpenTelemetry, AWS X-Ray, and Kubernetes observability tools.

• Experience defining and operationalizing SLIs, SLOs, alerting strategies, runbooks, and reliability metrics.

• Ability to use observability data to improve service reliability, minimize incident impact, and optimize operational performance.

• Strong proficiency in TypeScript and Node.js for platform engineering, automation, and operational tooling.

• Experience developing and maintaining scalable backend services, APIs, and event-driven systems.

• Deep understanding of Kubernetes architecture, controllers, Gateway API, ingress management, and service networking.

• Experience implementing zero-trust architectures, mutual TLS (mTLS), and service-to-service security controls.

• Commitment to high-quality engineering practices, including automated testing, code reviews, and observability-driven development.

• Strong understanding of resilience engineering, including autoscaling, disruption management, failure testing, and safe deployment strategies.

• Excellent communication, collaboration, mentoring, and technical leadership skills.

Additional experience and qualifications that would be advantageous include:

• Experience with progressive delivery strategies, including canary releases, blue/green deployments, and feature-flag-based releases.

• Previous experience in regulated, compliance-driven, or security-sensitive SaaS environments.

• Familiarity with FinOps principles and cloud infrastructure cost optimization.

• Experience building internal developer platforms and self-service engineering tools.

• Cloud-native certifications such as CKA, CKAD, CKS, KCSA, or KCNA.

• Kubestronaut certification or equivalent advanced Kubernetes expertise.

Benefits

• Annual base salary ranging from CAD 140,000 to CAD 155,000.

• Eligibility for discretionary bonuses and/or commission.

• Additional comprehensive employee benefits.

• Flexible working arrangements and remote work opportunities.

• Generous paid time off.

• Employee recognition programs.

• Professional development and career growth opportunities.

• Opportunities to work with innovative AI-powered technologies and contribute to meaningful product transformation.

• Collaboration with a diverse, international team that values knowledge sharing and different perspectives.

• An inclusive working environment that encourages innovation, professional growth, and employee well-being.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.