Site Reliability Developer

Job Description

We are seeking an SRE with strong software development skills, solid SRE fundamentals, and the ability to apply and evangelize AI/GenAI practices to improve reliability, operational efficiency, and developer productivity for Asset Hub services running in regulated/Gov environments. This role builds production‑grade engineering solutions (automation, tooling, reliability features) and helps teams adopt AI safely and effectively.

Key Responsibilities

• Build software to improve reliability: design and implement tools, services, operators/controllers, and automation to reduce incidents and manual operations.

• Operational excellence: define and improve SLIs/SLOs, error budgets, alerting, incident response, postmortems, and follow‑up remediation.

• Kubernetes cloud operations: support and harden workloads on Kubernetes (deployments, scaling, capacity, rollouts, networking).

• CI/CD and release engineering: improve build/deploy pipelines, release safety (progressive delivery, rollbacks), and environment promotion strategies.

• Security and compliance by design: implement secure defaults (RBAC, secrets handling, image scanning/signing as applicable), runtime hardening, and audit‑ready operational practices—especially for Gov/regulated realms.

• Observability engineering: build/maintain logging, metrics, tracing, dashboards, and actionable alerting.

• Reliability‑driven software changes: partner with developers to implement resilience patterns (timeouts, retries, circuit breakers, idempotency) and performance improvements.

• AI for SRE / AIOps enablement: identify and implement AI‑assisted workflows (e.g., incident summarization, log/trace analysis assistance, alert triage support, runbook automation), ensuring security/privacy compliance.

• AI evangelism: run internal enablement sessions (demos, brown bags, docs), share best practices/prompt patterns, and help teams adopt approved AI tools responsibly to reduce toil and improve quality.

• Strong software development experience in one or more languages (e.g., Java, Go, Python) with ability to deliver production‑quality code (testing, design docs, code reviews).

• Hands‑on SRE/production experience: on‑call participation, incident management, root cause analysis, and driving corrective actions.

• Experience operating services on Kubernetes (debugging, deployments, config, scaling, resource management).

• Solid Linux fundamentals; networking basics (DNS, TLS, load balancing); understanding of distributed systems failure modes.

• Experience with CI/CD systems and Infrastructure‑as‑Code (e.g., Terraform or equivalent).

• AI/GenAI fluency: ability to apply AI tools to engineering workflows and explain value, limitations, and risks clearly to others.

• Experience supporting services in regulated/Gov environments (change control, auditability, security constraints).

• Kubernetes security experience: RBAC, network policies, admission controls/policy‑as‑code, secrets management, image security.

• Observability stack experience and building high‑signal dashboards (metrics/tracing/logging).

• Experience with AIOps patterns (noise reduction, correlation, anomaly detection) and/or integrating AI into operational tool chains.

• Strong written communication and enablement skills (docs, training, internal community building).

• Establish or improve core SLIs/SLOs and operational dashboards for Asset Hub services.

• Deliver 1–2 high‑impact automation/software changes that reduce toil or prevent a class of incidents.

• Launch at least one AI enablement initiative (demo documented playbook) that measurably improves an operational workflow (e.g., faster triage, improved incident comms), aligned with internal security/compliance guidelines.

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

US:
Hiring Range in USD from: $86,400 to $199,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary…