
11 - 50 employees
Founded 2023
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 Seed Round on 2026-05
SaaS • Enterprise • Artificial Intelligence
data² is a decision‑intelligence software company that provides reView™, a governed decision layer that connects enterprise systems, data lakes, BI tools, documents and sensors so existing AI and analytics can reason across structured and unstructured evidence. The platform produces an auditable Decision Record™ with traceable sources, relationship paths, rules, provenance and human-review workflows to make AI outputs defensible and operational at scale. Typical outcomes highlighted include earlier risk detection, recoveries on capital programs, consolidated P&L reasoning, and faster, reviewable findings without replacing customers’ existing tools.
🕒 September 2
🇺🇸 United States – Remote
⏰ Full Time
🟢 Junior
⛑ DevOps & Site Reliability Engineer (SRE)
🚫👨🎓 No degree required
👻 Ghost score 30%
Where this job comes from
Posted on data²'s careers page, not through a job board
First seen by Remote Rocketship September 2

11 - 50 employees
Founded 2023
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 Seed Round on 2026-05
SaaS • Enterprise • Artificial Intelligence
data² is a decision‑intelligence software company that provides reView™, a governed decision layer that connects enterprise systems, data lakes, BI tools, documents and sensors so existing AI and analytics can reason across structured and unstructured evidence. The platform produces an auditable Decision Record™ with traceable sources, relationship paths, rules, provenance and human-review workflows to make AI outputs defensible and operational at scale. Typical outcomes highlighted include earlier risk detection, recoveries on capital programs, consolidated P&L reasoning, and faster, reviewable findings without replacing customers’ existing tools.
• Support implementation and operation of reView CI/CD pipelines • Build and maintain pipeline configurations using established platform patterns • Automate source, build, test, package, deployment, and promotion activities • Maintain pipeline variables, configurations, triggers, dependencies, and reusable components • Troubleshoot pipeline failures and support Engineering with build and deployment issues • Improve pipeline execution speed, reliability, and visibility • Maintain automated application and container build processes • Build and maintain Docker configurations and container workflows • Support artifact versioning, storage, promotion, and release traceability • Implement container scanning and artifact-signing processes • Generate and maintain SBOMs and build provenance for released artifacts • Maintain reproducible build and packaging processes, including offline installation bundles and mirrored dependency and registry content • Maintain automated deployment workflows for development, test, staging, and production environments • Support Kubernetes/EKS deployment configurations and application runtime configuration • Support on-premises and air-gapped deployment paths • Assist with Infrastructure as Code changes using established modules, standards, and review processes • Maintain environment variables, secrets integration, and configuration patterns • Support automated deployment, rollback, and recovery workflows, including stateful services • Integrate QA automated tests into CI/CD workflows • Maintain automated quality and release gates • Support SAST, dependency, secrets, and container-security scanning • Maintain traceability of pipeline results, builds, artifacts, and releases • Support evidence for SOC 2 change-management controls and applicable NIST 800-171/CMMC requirements • Monitor pipeline health, execution results, failures, and performance • Investigate recurring failures and implement approved improvements • Maintain CI/CD documentation, procedures, templates, and runbooks • Identify opportunities to automate repetitive delivery activities • Support release activities and provide pipeline and deployment evidence • Continuously improve delivery automation across Global Product and Federal delivery tracks
• Authorized to work in the United States and eligible to work within U.S.-controlled development and federal software-delivery environments, including access to export-controlled technical data • 1–3 years of experience in CI/CD, DevOps, cloud engineering, software engineering, systems engineering, or a related technical role • Working knowledge of CI/CD concepts and pipelines • Experience with Git-based development workflows • Working knowledge of AWS • Experience with or understanding of Docker and containerized applications • Familiarity with Infrastructure as Code concepts • Basic scripting or automation skills using Python, Bash, or similar languages • Understanding of software build, test, deployment, and release processes • Ability to troubleshoot technical issues using logs and system information • Care with production access and change control, including comfort working within review, approval, and least-privilege boundaries • Strong willingness to learn modern cloud, platform engineering, DevOps, and DevSecOps practices • Strong written and spoken English for collaboration across a distributed engineering organization
• Hands-on experience across AWS, CI/CD, Docker, Kubernetes, Infrastructure as Code, DevOps, and DevSecOps practices • Contribution to production software delivery • Work across Global Product and Federal delivery tracks
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