DevOps Engineer

Datavault AI Inc.•Atlanta, GA

21h•Onsite

About The Position

Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions. Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical discipline, or equivalent professional experience.
5+ years of professional DevOps, SRE, platform, or infrastructure engineering experience operating production systems, with at least 2 years of production Kubernetes ops.
Hands-on production experience operating Kubernetes (any distribution) and writing or maintaining Helm charts.
Deep Linux fundamentals: shell scripting (Bash), systemd, networking (iptables/nftables, routing, DNS), filesystem and storage layout, process and memory debugging, log management, package management on Debian/Ubuntu and/or RHEL family.
Strong AWS experience: EC2, VPC, managed databases, object storage, IAM, security groups, OIDC. You can wire all of this up and understand the failure modes.
Hands-on CI/CD experience designing and maintaining pipelines in Bitbucket Pipelines, GitLab CI, GitHub Actions, or comparable platforms.
Container experience: Docker, image registries, and Kubernetes workload patterns (Deployments, StatefulSets, Jobs, CronJobs).
PostgreSQL operational experience: backup/restore, replication, migration tooling, basic tuning.
Strong systems-thinking mindset; able to reason about failure modes, blast radius, and reversibility before taking destructive action.
Strong written and verbal communication skills — comfortable working closely with an architect and other engineers, raising questions early rather than guessing.

Responsibilities

Operate our Kubernetes clusters: node lifecycle, upgrades, ingress (cert-manager, external-dns), in-cluster secrets operator, default-deny NetworkPolicies, Kubernetes management UI administration.
Maintain and extend our parameterized Helm charts; manage Argo CD applications and the GitOps platform repo; execute deploys as values-file commits.
Run database schema migrations through Argo CD lifecycle hooks.
Maintain and improve our CI/CD pipelines (build, test, scan, push to our container image registry).
Administer Linux server nodes end-to-end on the command line: systemd, networking, firewalling, package management, log management, kernel tuning, troubleshooting production incidents.
Keep the AWS footprint healthy: EC2 (Kubernetes nodes), VPC, security groups, managed PostgreSQL, object storage, IAM, OIDC roles for CI deploys, DNS.
Operate and extend our self-hosted secrets platform; manage machine identities and environment-scoped secret delivery into the cluster via the operator.
Operate and extend our OpenTelemetry collector and ELK observability pipeline; ensure new services have proper instrumentation, log shipping, and dashboards.
Contribute to infrastructure-as-code coverage where it’s missing today, under direction from the architect.
Improve deploy reliability: progressive rollouts, rollback paths, pre/post-deploy checks, migration safety, deploy observability.
Keep the developer experience tight: fast pipelines, useful CI signals, reproducible local dev, painless secret rotation.
Serve as an escalation point for infrastructure issues; participate in incident response and contribute to actionable postmortems