Lead Site Reliability Engineer

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

Q2 isseekinga highly motivatedLead Site Reliability Engineer – Cloud Platform (AWS)to lead the engineering, operations, and continuous improvement ofhighly available, scalable, secure, and resilient cloud infrastructure supporting our mission-critical financial services platform.

As atechnical leadwithin the Platform Engineering organization, you will drive the adoption of Site Reliability Engineering (SRE) principles, champion automation, and build resilient cloud-native infrastructure withAWS as the primary cloud platform. You will also contribute to Azure-based initiatives as business needs evolve and should be comfortable working in a multi-cloud environment. Exposure to Google Cloud Platform (GCP) is a plus.

You will collaborate closely with Product Engineering, DevOps, Security, Architecture, and Infrastructure teams to build reliable platform services, improve developer productivity, and deliver secure, scalable cloud solutions.

Key Responsibilities

Technical Lead & Engineering

• Serve as the technical lead for cloud platform engineering initiatives.

• Drive the design, implementation, and continuous improvement of cloud platform services.

• Champion Site Reliability Engineering (SRE) principles, reliability engineering, and operational excellence.

• Define engineering standards, platform best practices, and technical roadmaps.

• Provide technical guidance and mentorship to engineers across Platform Engineering teams.

• Lead technical design discussions, architecture reviews, and implementation planning.

• Drive cloud modernization, automation, and reliability engineering initiatives.

Cloud Platform Engineering

• Design, build, andoperatesecure, scalable, andhighly availableAWS infrastructure.

• Support Azure platform engineering initiatives and contribute to multi-cloud solutions as business needs evolve.

• Exposure to Google Cloud Platform (GCP) is desirable but notrequired.

• Design and manage AWS networking services includingVPC, Route 53, Transit Gateway, Security Groups, Network ACLs, NAT Gateways, Internet Gateways, VPNs, Direct Connect, and Application/Network Load Balancers (ALB/NLB).

• Build andoperateKubernetes platforms (Amazon EKS preferred; AKS experience is beneficial).

• Manage container platforms includingDocker, Amazon ECR (or equivalent container registries), container image lifecycle management, and artifact repositories.

• Design secure multi-account cloud environments with IAM, governance, networking, and security best practices.

• Build reusable Infrastructure as Code (IaC) using Terraform.

• Develop self-service platform capabilities that improve developer productivity and reduce operational overhead.

• Optimizecloud performance, scalability, availability, and cost using FinOps best practices.

• Implement backup, disaster recovery, and high availability strategies.

Reliability Engineering

• Define and measure Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.

• Improve platform reliability through automation and proactive engineering.

• Reduce operational toil by automating repetitive manual tasks.

• Leadproductionincident response, root cause analysis, and post-incident reviews.

• Drive capacity planning, resilience testing, disaster recovery readiness, and continuous service improvements.

Automation & Platform Engineering

• Develop platform automation using Python, Bash, or Go.

• Collaborate with DevOps and application engineering teams to integrate Infrastructure as Code, Terraform, Kubernetes, and platform services into CI/CD pipelines and deployment workflows.

• PromoteGitOpspractices and standardized deployment methodologies.

• Continuously improve platform automation and self-service capabilities.

Observability & Operations

• Design and implement end-to-end observability solutions usingOpenTelemetry(OTel), Amazon CloudWatch, Prometheus, Grafana, Datadog, ELK/OpenSearch, or similar platforms.

• Build monitoring, logging, tracing, dashboards, and alerting capabilities to improve platform visibility and reliability.

• Improve operational visibility and reduce Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR).

• Participate in an on-call rotation supporting business-critical production systems.

Security & Governance

• Implement AWS security best practices, IAM governance, encryption, and least-privilege access.

• Partner with Security teams to remediate vulnerabilities and maintain compliance.

• Support audit readiness, governance, and platform security initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• 8+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Cloud Infrastructure, or Infrastructure Engineering.

• 5+ years of experience with public cloud platforms, withstrongexpertisein AWS. Working knowledge of Azure is expected, and exposure to GCP is a plus.

• Strongexpertisewith AWS services includingEC2, VPC, IAM, EKS, ECS, S3, EBS, RDS, Route 53, CloudWatch, Auto Scaling, ALB/NLB, KMS, Transit Gateway, VPN, and Direct Connect.

• Strong understanding of AWS networking architecture, hybrid connectivity, DNS, routing, load balancing, and security.

• Hands-on experience with Kubernetes (Amazon EKS preferred; AKS experience is beneficial).

• Hands-on experience withDocker, Amazon ECR (or equivalent container registries), container lifecycle management, and artifact repositories.

• Hands-on experience with Infrastructure as Code usingTerraform.

• Experience integrating Infrastructure as Code, Kubernetes, and platform automation into modern CI/CD workflows using GitHub Actions, Jenkins, Azure DevOps, GitLab CI, or similar platforms.

• Strong scripting and programming skills usingPython, Bash, or Go.

• Strong Linux administration experience.

• Experience implementing monitoring, logging, tracing, and observability solutions usingOpenTelemetry(OTel), CloudWatch, Prometheus, Grafana, ELK/OpenSearch, Datadog, or similar technologies.

• Strong troubleshooting, production support, and incident management skills.

• Experience serving as atechnical lead,providingengineering guidance, and driving cross-functional technical initiatives.

Preferred Qualifications

• Experience working across AWS and Azure cloud environments.

• Experience withGitOpstools such asArgoCDorFlux.

• Experience with service mesh technologies such asIstioorLinkerd.

• Experience with distributed systems such asKafkaorRedis.

• Knowledge of Policy-as-Code and cloud security automation.

• Experience implementing FinOps practices and cloud cost optimization.

• Experience in financial services or other highly regulated industries.

• AWS Professional Certification preferred.

• Azure and/or Google Cloud certifications are a plus.

• Kubernetes certifications (CKAorCKS) are a plus.

Core Competencies

• Site Reliability Engineering (SRE)

• Platform Engineering

• AWS Cloud Architecture

• Azure Cloud

• Kubernetes (EKS/AKS)

• Docker & Container Platforms

• AWS Networking

• Terraform & Infrastructure as Code

• Automation & Scripting

• GitOps

• Observability (OpenTelemetry, CloudWatch, Prometheus, Grafana, ELK/OpenSearch)

• Cloud Security & Governance

• Incident & Problem Management

• Operational Excellence

• Technical Leadership & Mentoring

• Cross-functional Collaboration

Success Measures

• Improve platform availability, reliability, and resiliency.

• Reduce operational toil through automation.

• Increase platform scalability and engineering efficiency.

• Improve observability and reduce Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR).

• Optimizecloud performance and cost.

• Deliver secure, scalable, reusable platform services that improve the developer experience.

• Drive engineering excellence through technical guidance, automation, platform innovation, and operational best practices.