layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Engineer I, Platform, Cloud at Acadian Asset Management

Pair with your team members to build out services and tools that advance our cloud capabilities using AWS services like EKS, ECS, EC2, Lambda, Bedrock, and Parallel Computing Service (PCS)
Build and extend reusable infrastructure-as-code components — Terraform, CDK8s, Crossplane, etc — so product teams get secure, well-instrumented defaults out of the box
Operate and improve our GitOps delivery model on Kubernetes using ArgoCD, Helm, and Kustomize, and extend the cluster platform with Crossplane and EKS add-ons
Use AI-assisted development tooling in your daily work and help build the automation and guardrails that make it safe and repeatable for other teams
Support the infrastructure behind our AI and quantitative research workloads, including Bedrock-hosted models and HPC compute
Drive automation of the entire software delivery lifecycle in GitLab CI, including testing and policy checks for infrastructure code
Ensure observability and availability of the investment systems using OpenTelemetry, New Relic, and CloudWatch, and help define meaningful service-level objectives
Build security in by default — secrets managed through Vault and Secrets Manager, least-privilege IAM, and container and dependency scanning in the pipeline
Help keep cloud spend efficient through right-sizing, autoscaling, and cost visibility
Review, comment, and approve pull/merge requests
Proactively improve and modernize our tech stack
Troubleshoot and resolve operational issues
Contribute to runbooks, documentation, and team knowledge sharing
Rotate through an on-call schedule with your team members to provide after-hours support when needed
We're Looking for Teammates With: BS in Computer Science or related field preferred with at least 3 years of prior engineering experience (Financial services exposure is a plus)
Experience building and operating scalable, durable services in AWS
Demonstrated working experience with Linux, containers, and Kubernetes
Experience with Terraform, Helm, and Kustomize (CDK/CDKTF experience is a plus)
Experience developing services/libraries in Python and at least one of TypeScript, Go, or C# (all are relevant to our current stack)
Familiarity with CI/CD and GitOps tooling such as GitLab CI, and ArgoCD
Knowledge of observability platforms such as OpenTelemetry, CloudWatch, New Relic, Prometheus
Practical use of AI coding assistants in day-to-day engineering work, and a working understanding of modern AI concepts — LLM APIs, retrieval, agentic workflows, and tool/context protocols such as MCP
Familiarity with secrets management and cloud security fundamentals (Vault, IAM, least privilege)
Familiarity with scripting in Bash/POSIX Shell
Knowledge of common patterns and software architecture
Exposure to migration strategies for legacy workloads to AWS
Structured approach to troubleshooting
Practical experience with networking and storage

Senior Engineer I, Platform, Cloud

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