Manager, Engineering - DevOps

insightsoftware provides reporting, analytics, and performance management solutions that help finance and data teams operate more effectively. The Manager, Engineering - DevOps will lead a 10-person DevOps team, oversee the reliability and cost of AWS and Azure SaaS environments, and guide infrastructure, CI/CD, observability, security, and incident response practices. The role combines people leadership with hands-on technical involvement and cross-functional collaboration.

Responsibilities:

• Lead, coach, and grow a team of DevOps engineers — hiring, career development, performance, and the everyday work of making a team effective
• Own the reliability, performance, and cost of our AWS and Azure production environments for our SaaS products
• Partner with Product and Engineering leadership to translate roadmap goals into infrastructure and deployment plans
• Set the technical direction for CI/CD, Infrastructure as Code, observability, and incident response — and drive continuous improvement across all four
• Mature the team’s ITIL-aligned service management practices, including on-call, change management, and post-incident review
• Partner with Security to embed compliance requirements (SOC 2, SOX, ISO 27001, HIPAA) into how we build and operate
• Own FinOps for your environment: monitor spend, drive cost efficiency, and forecast cloud costs against the roadmap
• Participate in the on-call rotation for mission-critical production services
• Set clear team and individual objectives, and communicate progress, tradeoffs, and decisions clearly to engineers, peers, and executives

Requirements:

• 4+ years experience managing engineering teams
• 10+ years in infrastructure, systems, or DevOps engineering
• Deep hands-on experience running production workloads on AWS and Azure, including cloud networking (VPC/VNet, private connectivity, DNS), compute, storage, and identity and access management
• A keen interest in AI and how it can be used to innovate and DevOps engineering
• Strong background in Infrastructure as Code — Terraform, with CloudFormation or Bicep a plus — and one or more configuration management tools (Ansible, Chef, Puppet, or Salt)
• Proven CI/CD pipeline ownership at scale, including Jenkins, GitHub Actions, and modern Git-based workflows (GitHub, GitLab, or Bitbucket)
• Fluency in at least one scripting language for automation (Python preferred; Bash, PowerShell, or Ruby also welcome)
• Experience designing andoperatingfor high availability, disaster recovery, and backup and retention on cloud platforms
• Experience with containerized workloads and Kubernetes orchestration (EKS, AKS, or self-managed clusters)
• Working experience with modern observability practices — metrics, logs, traces, SLIs and SLOs, and alert design.DataDogexperience is a strong plus
• Working knowledge of cloud security fundamentals across AWS and Azure: WAF, threat detection (GuardDuty, Defender for Cloud), vulnerability management, endpoint protection, CSPM tooling, and compliance frameworks (SOC 2, SOX, ISO 27001, CIS, HIPAA)
• Excellent written and verbal communication — you can explain a complex tradeoff to an engineer and to a VPin the same day
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent hands-on experience