DevOps Engineer

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Logo of Full Scale

Full Scale

201 - 500 employees

Founded 2018

💼 Consulting

☁️ SaaS

🏢 Enterprise

Consulting • SaaS • Enterprise

Full Scale is a staff augmentation company that focuses on providing exceptional tech talent to businesses across various industries. Founded by Matt Watson, a seasoned tech entrepreneur, Full Scale has partnered with over 200 tech companies since its inception, offering top-notch services while fostering a positive work environment for its employees. The company's commitment to corporate social responsibility is evident in its engagement in community outreach, environmental sustainability, and educational initiatives.

📋 Description

• Own and extend the GitOps deployment model — OpenTofu/Terragrunt for infrastructure, GitHub Actions and AWS CodePipeline for application delivery — across all environments and AWS accounts. • Maintain OIDC federation for deployment identity; enforce the zero long-lived-credentials standard across every pipeline and runner. • Build and maintain deployment pipelines for AWS Lambda services, API Gateway configurations, containerized workloads on EKS/ECR, and the PWA front end. • Implement progressive delivery for the real-time call path: canary and blue/green releases, automated rollback on error-rate or latency regression, and feature flags for risky changes. • Manage EAS build and over-the-air update pipelines as React Native/Expo mobile and kiosk surfaces come online. • Own the observability stack — CloudWatch, X-Ray, structured logging, metrics, and alerting — with particular attention to the WebSocket screen-pop path and the voice agent's prefetch cache. • Define and instrument SLOs for the call-intelligence path. Screen-pop time-to-first-render and voiceagent lookup latency are the two numbers that matter most; own them. • Build runbooks and on-call rotation practices. • Lead incident response and blameless post-incident reviews; drive corrective actions to completion. • Monitor and tune Redis caching, Aurora Serverless scaling behavior, and Lambda cold-start characteristics on latency-sensitive endpoints. • Operationalize defense-in-depth tooling: GuardDuty, Security Hub, Inspector, Macie, WAF/Shield, orgwide CloudTrail, and automated EventBridge remediation. • Own secrets management (AWS Secrets Manager / Parameter Store) and rotation for DMS, CRM, telephony, and payment integrations. • Integrate security scanning into the pipeline: dependency scanning, container image scanning, IaC policy checks, and secret detection on commit. • Support PCI-relevant controls on the secure payment link path and PII-handling controls across voice and call-intelligence services. • Track and report AWS spend by account, service, and workload; identify and implement optimization (right-sizing, Savings Plans, Spot for appropriate workloads, S3 lifecycle policies). • Provide capacity guidance ahead of new business-unit onboarding.

🎯 Requirements

• 4+ years in a DevOps, SRE, or Platform Engineering role with production ownership. • Deep, hands-on AWS experience — Lambda, API Gateway, ECS/EKS, ECR, S3, Aurora, VPC networking, IAM. • Strong Terraform or OpenTofu skills, including module design and multi-environment patterns. • Terragrunt experience strongly preferred. • Proven CI/CD ownership with GitHub Actions, CodePipeline, or equivalent. • Container fluency: Docker, and Kubernetes on EKS (Fargate and/or managed node groups). • Scripting and automation in Python and/or Node.js — enough to write real tooling, not just glue. • Practical observability experience: you have designed alerts people actually trust, not just dashboards. • Incident response experience in a system where downtime had immediate business consequences.

🏖️ Benefits

• Fully remote – work from anywhere in the Philippines • Work on a mature, serverless-first, GitOps-driven platform — not a legacy modernization project. • Hands-on collaboration with senior architects and data scientists on a small, high-autonomy team. • Opportunity to shape the operational practices of a platform that scales to multiple business units. • Documentation-first culture with implementation-level detail over slideware. • A team environment that values ownership, technical depth, and follow-through.

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