Senior Engineer II, Platform Cloud

of observability platforms, such as OpenTelemetry, CloudWatch, New Relic, Prometheus Understanding of modern AI concepts, including agentic systems, orchestration, and automation workflows. Knowledge of migration strategies for legacy workloads to AWS Knowledge of common patterns and software architecture Familiarity with scripting in Bash/POSIX Shell Experience developing services/libraries across multiple languages (Python, TypeScript, Go, and C# are relevant to our current stack) Experience with Terraform, Helm, and Kustomize (CDK experience is a plus) Demonstrated expertise with Linux and Kubernetes Structured approach to troubleshooting Practical experience with networking and storage The base salary range for this role is $165,000 - $185,000 per year. Actual compensation will be determined based on a candidate's skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian's comprehensive benefits program, which includes health, retirement, and wellness offerings. To apply for this position or view Acadian's open roles, please visit the Careers section of our website at: http://www.acadian-asset.com/careers/Job-opportunities . We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com. Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

members to build out services and tooling that advance our cloud capabilities using AWS services like EKS, ECS, EC2, Lambda, Bedrock, and ParallelCluster Design, build, and maintain agentic AI systems and automated workflows that augment decision-making and operational efficiency Work closely with our partners at AWS to leverage architecture and support services Review, comment, and approve pull/merge requests Drive automation of the entire software delivery lifecycle Proactively improve and modernize our tech stack Ensure observability and availability of the investment systems Troubleshoot and resolve operational issues Mentor junior members of the team Rotate through an on-call schedule with your team members to provide afterhours support when needed We're Looking for Teammates With: BS in Computer Science or related field preferred with at least 5 years of prior experience (Financial services exposure is a plus), Proven record of building scalable and durable services in AWS Knowledge