DevOps Engineer

Role Overview This is a hands-on leadership role that owns the

architecture, reliability, scalability, security, and cost of Rezolve.ai’s production platform across

Vercel, Supabase, Azure AKS, Azure Postgres, GCP Compute, and adjacent services . You will design and operate infrastructure that is

auto-scaling, auto-healing, observable, and compliant by default , and you will lead the team’s transition from manual ops to

AI-assisted and agent-driven operations — where routine investigation, remediation, capacity tuning, and incident triage are increasingly performed by AI agents under engineering oversight. You will also be a customer-facing technical voice: engaging with enterprise prospects and customers on architecture deep-dives, security posture, and deployment options. This is

~80% an individual contributor role — you will be hands-on in code, IaC, pipelines, and production systems daily. The remaining ~20% is

cross-functional collaboration with Engineering, Security, Product, Sales, and Customer Success.

Strong ownership of timelines and a track record of consistently delivering complex platform/infra initiatives on schedule is essential and will be weighed heavily in the hiring decision.

Key Responsibilities Infrastructure, Architecture & Multi-Cloud Operations · Own the end-to-end architecture of the Rezolve.ai platform across

Vercel (edge/app), Supabase (auth, Postgres, edge functions), Azure AKS (containerized workloads), managed Postgres, and GCP Compute . · Build and maintain

auto-scaling, auto-healing infrastructure: horizontal/vertical scaling policies, pod/node autoscaling on AKS, self-healing controllers, circuit breakers, graceful degradation, and capacity headroom modeling. · Drive Infrastructure-as-Code (Terraform preferred) as the single source of truth — no manual cloud console changes in production. · Design for

multi-region availability, disaster recovery, and data residency , with measured RPO/RTO and regularly rehearsed failover drills. · Lead capacity planning, performance optimization, and

FinOps / cloud cost governance across all clouds.

CI/CD & Release Engineering · Define, build, and continuously optimize

CI/CD pipelines (GitHub Actions / Azure DevOps / equivalent) covering build, test, security scan, artifact signing, environment promotion, and rollback. · Implement modern release strategies:

blue-green, canary, progressive delivery, feature flags , and automated rollback triggers tied to SLO breach. · Embed

automated quality and security gates (SAST, SCA, secret scanning, container scanning, IaC scanning, license checks) into every pipeline. · Reduce mean lead time and change-failure rate, and publish DORA-style metrics for engineering. Observability, Alerting & Auto-Healing · Build first-class observability across

metrics, logs, traces, and events (Datadog / Grafana / Prometheus / OpenTelemetry / Azure Monitor / GCP Operations or equivalent). · Define and own platform

SLIs, SLOs, and error budgets ; tie alerting to user-impacting signals, not noise. · Implement

auto-healing workflows — automated remediation for known failure modes (restart, drain, reroute, scale, failover) with audit trails. · Lead incident response: on-call rotations, runbooks, blameless RCAs, and conversion of every recurring incident into automation

Security, Privacy & Compliance · Own platform-level controls required for

SOC 2 Type II, ISO 27001, GDPR, HIPAA , and other certifications relevant to enterprise and regulated customers. · Partner with Security and Legal to maintain control evidence, audit readiness, vendor risk reviews, DPIAs, and data residency commitments. · Enforce least-privilege IAM, secrets management, key rotation, network segmentation, encryption at rest/in transit, and supply-chain security (SBOM, signed builds). · Ensure

processes are followed — not just documented — across change management, access reviews, vulnerability management, backup/restore, and incident response.

AI-Native Platform Engineering · Treat AI as a core capability of the platform team: use

AI coding assistants, agentic copilots, and LLM-driven tooling (e.g., Claude Code and similar) to accelerate IaC authoring, runbook generation, log/trace analysis, alert triage, and incident summarization. · Build internal

agentic workflows for routine ops — cost anomaly investigation, drift detection, IAM review, dependency upgrades, capacity tuning — with humans in the loop for high-blast-radius changes. · Evaluate, pilot, and roll out new AI/DevOps tooling; set the bar for

safe, auditable AI use in production operations.

Customer & Stakeholder Engagement · Engage directly with

enterprise customers and prospects in architecture reviews, security questionnaires, and solution discussions; present Rezolve.ai’s platform, compliance posture, and deployment options with credibility. · Partner with Engineering, Product, Security, Sales, and Customer Success to unblock enterprise deals and global expansion. · Continuously scout, propose, and pilot

new tools, processes, and platform innovations ; champion a culture of automation and operational excellence.

Required Qualifications · 8–10 years in DevOps, Platform Engineering, Cloud Infrastructure, or SRE roles, including time as a tech lead. · Production experience operating workloads on

at least two of : Azure (AKS strongly preferred), GCP, AWS, Vercel, Supabase. · Strong hands-on with

Kubernetes (AKS preferred), containers, service meshes, and ingress/edge platforms. · Deep experience with

Terraform (or equivalent IaC) and GitOps-style workflows. · Proven track record building

CI/CD pipelines in GitHub Actions, Azure DevOps, or similar; familiarity with progressive delivery tooling. · Strong experience with

Postgres at scale — performance, HA, backups, PITR, and migrations (Supabase / Azure / self-managed). · Hands-on with observability stacks (Datadog, Grafana, Prometheus, ELK, OpenTelemetry, Azure Monitor, or GCP Cloud Operations). · Demonstrated, recent use of

AI engineering tools (Claude Code, Cursor, Copilot, agentic assistants) to materially improve infra automation, troubleshooting, or productivity — bring concrete examples. · Strong grasp of

SOC 2, ISO 27001, GDPR, HIPAA controls in a cloud SaaS context, including evidence collection and auditor engagement. · Excellent written and verbal communication; comfortable presenting architecture and security to enterprise customers. ·

Demonstrated ability to plan, manage, and deliver complex platform/infra programs on committed timelines — prior track record of consistently shipping on schedule is highly valued.

Preferred Qualifications · Experience operating

multi-tenant, multi-region SaaS with stringent availability and data-residency commitments. · Azure certifications (AZ-305, AZ-400) or equivalent AWS/GCP certifications. · Experience with

FinOps , cost attribution, and unit-economics work. · Exposure to building internal developer platforms (IDPs), policy-as-code (OPA/Conftest), and signed/attested supply chains (SLSA, Sigstore). · Experience integrating AI agents into ops workflows (alert triage bots, autoremediation agents, AI-assisted RCAs).

About Rezolve.ai Rezolve.ai is an Agentic AI-powered SaaS platform that automates IT and HR service desks for global enterprises. Our platform is built on a modern, multi-cloud stack and serves customers under strict security, privacy, and availability obligations. As we scale, we are hiring a Lead Platform & DevOps Engineer who can build and operate this platform in an AI-native way — using AI agents and copilots as first-class tools alongside the human team.