Engineer II - Cloud Delivery Engineer

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Skills you'll use

What you'll do

• Deliver white-glove cloud delivery support during Experience-Based Acceleration (EBA / SBA) and other acceleration events — embedding with application teams to land workloads on AWS quickly and correctly
• Partner with less-funded / lean application teams to deliver their applications to the cloud: reference-architecture guidance, hands-on Terraform, and pairing that leaves the team able to run what you built together
• Engineer Infrastructure-as-Code solutions that operationalize AWS services — turning a raw AWS capability into a paved, reusable path consumable through the private Terraform module library
• Operationalize third-party systems on AWS (for example, Confluent Kafka and Kong) as Terraform-managed, supportable building blocks with clear runbooks and hand-off to the Support and Containers teams
• Support migrations of application workloads into the multi-account landing zone — coordinating cutover, validation, and hand-off
• Embed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self-service experience for internal customers
• Use agentic AI capabilities to accelerate delivery: AI-assisted Terraform authoring and refactoring, reference-pattern scaffolding, migration discovery and documentation, and MCP-driven self-service so the teams you help can keep moving after you rotate off
• Operate as a hands-on mid-level cloud engineer in the pod: spend the majority of your time in Terraform code, AWS console / CLI, design documents, peer code review, and incident response — execution and growth are the primary leverage points
• Personally participate in 24x7 on-call rotations as a primary responder for production incidents within the pod's scope; grow into senior responder framing over time with support from AVPs and VPs
• Consume the private Terraform module library and reference patterns to ship application-aligned infrastructure; raise small, well-scoped pull requests against shared modules and the Account Factory for Terraform (AFT) foundational base layer to improve what you use

Who can apply

• 3+ years of progressive technical experience in cloud infrastructure, platform engineering, or software engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
• 1+ years of hands-on production AWS in a multi-account environment with hands-on production Terraform delivered through Terraform Cloud and GitHub Actions; comfort consuming a private Terraform module library and raising well-scoped pull requests against shared modules
• Demonstrated track record of owning meaningful, well-scoped engineering work end-to-end under senior guidance — design, implementation, code review participation, and follow-through
• Experience participating in 24x7 production on-call rotations as a primary responder in a fast-paced, security-conscious environment (financial services preferred)
• Hands-on experience delivering application workloads to AWS in a consulting, professional-services, or platform-delivery capacity — including Infrastructure-as-Code delivery and, ideally, operationalizing a managed AWS service or a third-party system (e.g., Kafka, Kong, or similar) as reusable IaC

About LPL Financial

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