Senior Platform Engineer

🕒 June 11

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MOXFIVE

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

Cybersecurity • SaaS • B2B

MOXFIVE is a cybersecurity incident response and resilience provider that helps organizations rapidly manage ransomware attacks and other cyber incidents. They combine a proprietary platform with expert Technical Advisors to centralize incident management, forensics, recovery, and remediation while providing visibility into milestones, costs, and workstreams. MOXFIVE also delivers advisory services to improve security posture and business resilience, and serves enterprise and SMB clients through B2B engagements.

📋 Description

• Own and improve the platform foundation that helps a high-velocity engineering team ship safely across cloud infrastructure, Kubernetes, IaC, secrets, networking, access controls, CI/CD, observability, and production guardrails. • Build internal tooling for an AI-enabled engineering workflow, including automation, repo and CI feedback loops, agent-ready development environments, and safeguards that let engineers move quickly without weakening production discipline. • Strengthen operational readiness through better logging, metrics, tracing, alerting, runbooks, and incident follow-up. • Harden production access with least-privilege IAM, secure secret management, auditability, and controlled break-glass paths. • Set pragmatic platform standards that help a small team move quickly today while avoiding infrastructure, reliability, and security debt tomorrow.

🎯 Requirements

• 5+ years of experience in platform engineering, DevOps, SRE, infrastructure engineering, or backend-adjacent cloud operations. • A track record of owning production systems where reliability, security, and developer velocity all matter. • Hands-on experience with cloud infrastructure, Kubernetes, infrastructure-as-code, CI/CD, secrets management, access controls, and observability. • Experience building internal developer tooling, platform automation, or AI-assisted development workflows. • Comfort designing safe release processes with deployment gates, smoke tests, rollback paths, and clear ownership. • Practical experience supporting relational databases and production data changes. • A security-minded approach to infrastructure, including least privilege, auditability, secret handling, and controlled production access. • Clear written communication for runbooks, deployment notes, incident follow-ups, and engineering decisions.