Note: The job is a remote job and is open to candidates in USA. Redwood Software provides an orchestration platform for automating mission-critical business and IT processes. The Site Reliability Engineer / DevOps Engineer will ensure the stability, performance, scalability, and reliability of the company’s SaaS platform by managing incidents, automating operations, maintaining cloud infrastructure, and strengthening observability.
Responsibilities
- Provide day-to-day management of system alerts, monitor system health, and escalate issues as necessary to maintain high availability
- Participate in a 24x7, team-shared on-call rotation for critical SaaS platform incidents and provide support during emergencies
- Lead incident response efforts to ensure fast and effective mitigation and resolution of production issues
- Perform thorough Root Cause Analysis (RCA) and lead blameless post-mortems to identify systemic weaknesses and establish corrective actions that prevent recurrence
- Collaborate with engineering teams to establish and enforce error budgets derived from Service Level Objectives (SLOs), balancing development velocity with system stability
- Automate routine operational tasks to reduce manual effort and toil while increasing team efficiency
- Design, deploy, and maintain cloud infrastructure using Infrastructure as Code (IaC), leveraging Terraform and Helm for deployment to EKS/Kubernetes clusters
- Design, secure, and troubleshoot AWS cloud network architecture, including VPCs, subnetting, routing, security groups/NACLs, load balancers (ALB/NLB), and VPN/Transit Gateway connectivity across a multi-region, multi-account environment supporting EKS and Docker Swarm on EC2
- Improve infrastructure health by developing and implementing checks, scripts, and automated remediation to proactively address known issues and enable platform self-healing
- Maintain, develop, and evolve Continuous Integration/Continuous Delivery (CI/CD) deployment code and pipelines
- Maintain existing infrastructure running on Docker and Docker Swarm while contributing to migration strategies toward EKS/Kubernetes
- Implement and integrate new technologies and services into Redwood’s cloud infrastructure to enhance platform capabilities and resilience
- Design and implement comprehensive observability strategies across metrics, logs, and traces
- Create and refine robust monitoring and alerting configurations within the EKS/Kubernetes ecosystem
- Utilize and maintain Datadog to gather performance data, create synthetic tests, configure monitoring, and visualize system health through dashboards
- Leverage existing monitoring solutions, including Grafana and Prometheus, while supporting the migration or integration of data into a unified observability platform
- Document issues, remediation steps, system architecture, and runbooks to support knowledge transfer and rapid incident response
- Collaborate closely with Support, Customer Success, Migration, and Professional Services teams to deliver a high level of SaaS service and minimize customer impact during changes
- Maintain a strong customer focus when planning deployments and updates, considering the impact on end users before implementing changes
Skills
- * 5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles, ideally supporting a production SaaS platform
- * Hands-on AWS Cloud Engineering experience with strong working knowledge of the AWS ecosystem, including AWS IAM roles and policies
- * Strong knowledge of AWS cloud networking, including VPC design and peering, subnetting, security groups/NACLs, route tables, ALB/NLB load balancers, Transit Gateway/VPN connectivity, and Route 53 DNS
- * Ability to design and troubleshoot connectivity across multi-region, multi-account AWS environments
- * Proficiency with EKS/Kubernetes (K8s) and container orchestration technologies
- * Demonstrated experience with Infrastructure as Code (IaC), specifically Terraform and Helm
- * Working experience with Docker and maintaining systems using Docker Swarm
- * Expertise in implementing and managing logging, monitoring, and observability solutions
- * Direct experience with Datadog, including APM, infrastructure monitoring, synthetic testing, and custom dashboards
- * Proficiency working in Linux environments with strong Bash and/or Python scripting skills for automation and troubleshooting
- * Operational experience with relational databases in production environments, such as AWS RDS/PostgreSQL, including performance tuning, backup and restore, and troubleshooting under load
- * Experience providing product or application support for high-availability SaaS products
- * Experience designing, implementing, and operating within a DevSecOps environment
- * Excellent written and verbal communication skills, with the ability to clearly explain complex technical issues and Root Cause Analyses to both technical and customer-facing audiences
- * Experience with Grafana and/or Prometheus is a plus
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