Senior Engineer I, Platform, Cloud

Acadian Asset Management; Boston (MA); Hybrid; USD 155,000 - 175,000; Full time

Job summary

Acadian Asset Management is seeking a Platform Engineer in Boston to build and operate cloud-native investment infrastructure on AWS and Kubernetes. You will create reusable templates, advance automation, and collaborate with Investment and Platform teams to speed delivery.

The role emphasizes GitOps, observability, security, and cost efficiency, with a hybrid on-site 3 days per week in Boston and strong benefits. Strong Terraform, Kubernetes, and cloud skills required.

Qualifications

• BS in Computer Science or related field; 3+ years of engineering experience.
• Experience building and operating scalable services in AWS.
• Solid Linux, containers, and Kubernetes fundamentals.
• Proficient with Terraform, Helm, and Kustomize; CDK/CDKTF a plus.
• Proficiency in Python and at least one of TypeScript, Go, or C#.
• Familiarity with CI/CD and GitOps tooling (GitLab CI, ArgoCD).
• Knowledge of observability platforms (OpenTelemetry, CloudWatch, New Relic).
• Experience with AI coding tools and modern AI concepts is a plus.
• Security basics: Vault, IAM, least privilege, secret management.

Responsibilities

• Build and support services enabling cloud capabilities across AWS and Kubernetes.
• Develop reusable IaC components (Terraform, CDK8s, Crossplane).
• Operate GitOps delivery models with ArgoCD, Helm, and Kustomize.
• Apply AI-assisted tooling to improve engineering workflows and guardrails.
• Support AI and quantitative workloads including Bedrock-hosted models.
• Automate the software delivery lifecycle in GitLab CI with tests and policy checks.
• Ensure observability and reliability with OpenTelemetry and CloudWatch.
• Embed security by default: Vault, IAM, and vulnerability scanning.
• Optimize cloud spend via right-sizing and autoscaling.
• Participate in on-call rotation and runbook/documentation creation.

Skills

Python

TypeScript

Go

C#

Kubernetes

AWS

CI/CD

GitOps

Linux

OpenTelemetry

CloudWatch

Education

BS in Computer Science or related field

Tools

Terraform

Helm

Kustomize

CDK/CDKTF

ArgoCD

GitLab CI

Crossplane

EKS

Job description

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $232 billion on behalf of leading institutions worldwide—including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.
What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian.
Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

Position Overview

The Platform team is responsible for building and supporting services that enable our development teams to leverage frameworks, tooling, and services across in-house and vendor PaaS/IaaS offerings. Platform defines the architectural roadmap, best practices, and provides education on these services. This position will work on a cross-functional team that is responsible for implementation and maintenance of our investment infrastructure, focusing on building reusable application templates, patterns of delivery, and operational support of our systems running in AWS and Kubernetes. You will partner with development teams in the Investment group and peers in Platform to improve how we operate our applications. Platform's goal is to enable our fellow product focused teams to deliver solutions faster through automation and engineering.
Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do

• 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

The base salary range for this role is $155,000 – $175,000 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.

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.