Senior Engineer, Cloud Infrastructure

Identify high‑value Cloud Infra workflows (e.g., incident triage, change impact analysis, runbook execution, capacity/cost recommendations) that can be automated using AI agents .

Design and implement agentic workflows (single and multi‑agent) using modern AI orchestration patterns and frameworks (e.g., tool‑calling, planners, evaluators, guardrails).

Integrate agents with existing cloud APIs, observability tools, ticketing systems, and runbooks to provide end‑to‑end, human-in-the-loop automation.

Define and enforce safety, security, and approval guardrails for AI‑driven actions (RBAC, policy checks, dry‑runs, explicit approvals, audit logging).

Measure and communicate impact of AI automation (MTTR reduction, hours saved, error reduction, cost optimization, improved engineer experience).

Own the reliability and performance of services you build – from design through deployment and production operations.

Implement and tune monitoring, logging, alerting, and SLO/SLA dashboards for Cloud Infra services (Datadog/Splunk/CloudWatch or similar).

Participate in the on‑call rotation , lead troubleshooting for complex AWS infrastructure incidents, and drive post‑incident reviews and preventative improvements .

Proactively identify technical debt and reliability risks in infrastructure and drive remediation plans.

Act as a technical mentor to Engineer I/II teammates on AWS fundamentals, automation patterns, and AI‑driven operations.

Help define and evolve paved road standards for AWS infrastructure, automation, and AI agent usage across Cloud Infrastructure.

Contribute to runbooks, design docs, knowledge base articles, and internal training sessions, including AI and automation best practices

Experience in a large-scale SaaS or multi‑tenant environment.

Exposure to cost optimization / FinOps in AWS (right‑sizing, storage optimization, data transfer analysis, automated cleanup).

Experience with security engineering concepts such as least‑privilege IAM design, KMS usage patterns, and network security controls.

Experience integrating AI agents with ticketing and workflow platforms (Jira/ServiceNow, Slack/MS Teams bots, internal tools).

AWS certifications (e.g., Solutions Architect – Associate/Professional , Security – Specialty , or Advanced Networking ) or equivalent experience.

In your first 12–18 months, success looks like:

You are a go‑to engineer for complex AWS infrastructure questions in your domain.

You have delivered at least one or two production AI‑agent workflows that measurably improve Cloud Infra operations (e.g., reduced MTTR, reduced manual toil, or better cost visibility).

Your infrastructure services are well‑documented, observable, and resilient , with clear runbooks and strong hand‑offs to on‑call engineers.

You are actively mentoring Engineer I/II teammates and influencing our standards for AWS, automation, and responsible AI usage.

Design, develop, and troubleshoot automation jobs for complex workflows across AWS accounts and regions.

Create and assign Jira tasks to drive progress with clear ownership and follow‑through.

Create and maintain wiki documentation / README files for workflows, procedures, and tooling enhancements.

Identify gaps in runbook coverage and author new runbooks that enable repeatable, reliable operations.

Display mastery of service(s) within a single pillar (e.g., Networking, Compute, Storage, Security, Orchestration).

Demonstrate competency across multiple pillars , understanding how services interact end‑to‑end.

Collaborate effectively across CloudOps, SRE, Security, Product Engineering, and other technology teams .

Anticipates customer needs and delivers services beyond expectations , with a strong internal customer mindset.

Uses customer insights and data to influence and guide new infrastructure and automation offerings.

Serves as a strategic partner to build, grow, and maintain long‑term, sustainable, and profitable relationships.

Troubleshoot high‑complexity issues, including multi‑service and multi‑region incidents.

Coordinate and troubleshoot issues involving 3rd‑party vendors , assisting in vendor relationship management.

Provide guidance and mentoring to junior engineers on troubleshooting, design, and best practices.

Share knowledge broadly (e.g., lunch‑and‑learns, mentoring, internal training, documentation ).

Perform as an individual contributor on high‑complexity tasks, owning them end‑to‑end.

Act as primary point of contact for internal and cross‑tech (CTC) level projects in your domain.

Help allocate work across individual contributors and identify when additional support is needed.

Recognize when project timelines are at risk and partner with leadership to adjust scope or approach.

Communicates progress, risks, and needs clearly to management and stakeholders.

Contribute to an inclusive, collaborative, and respectful organizational culture .

If you’re passionate about Cloud Infrastructure , enjoy building automation and tools , and are excited about applying AI agents and orchestration to real‑world infrastructure problems , we’d love to talk to you.