AWS Cost Optimization Engineer

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world's most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow's challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.   

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

We are hiring a AWS Cloud Cost Optimization Engineer to lead cost-efficiency efforts across our cloud environments, with a primary focus on AWS. In this role, you will analyze usage patterns and billing data to identify savings opportunities, including resource rightsizing, planning for Reserved Instances and Savings Plans, leveraging Spot capacity, and cleaning up unused resources. You will build automations to detect and clean up unused resources, enforce tagging policies for accurate reporting, and develop budget and dashboards that improve visibility into spend.

• Monitor and analyze AWS usage and billing data to identify trends, anomalies, and savings opportunities.
• Execute optimization strategies, including rightsizing and instance modernization; leveraging Reserved Instances, Savings Plans, and Spot capacity; recommending optimizations to container/Kubernetes requests and limits; and cleaning up ephemeral/abandoned resources (e.g. unattached volumes, stale snapshots, idle load balancers, orphaned pods).
• Build automations and workflows to detect and clean unused resources (e.g. automated cleanup of unused resources, anomaly detection, cost alerts).
• Partner with engineering teams to validate optimization opportunities, assess technical feasibility, and implement cost-saving measures.
• Work with finance teams to align forecasts and budgets with actual spend, improve variance analysis, and strengthen accountability for cloud cost performance across business units.
• Enforce cost policies and ensure tagging of resources is consistently applied, enabling accurate reporting and accountability.
• Create dashboards, alerts, and KPIs to track spend and measure the impact of cost-saving initiatives and R&D programs, ensuring savings are quantified and communicated.
• Stay current on AWS pricing models, tools, and discount programs; engage with vendor teams to leverage savings opportunities.

• 5–10+ years of experience in cloud cost optimization.
• Hands‑on experience implementing cost optimization measures (rightsizing, reservations, Spot, cleanup of abandoned resources).
• Proficiency with automation and scripting (e.g. Python, Bash).
• Experience with monitoring/alerting and workflow automation tools (CloudWatch, Lambda, Kubernetes tools, or equivalents).
• Ability to build clear reports and dashboards for technical and business stakeholders.
• Knowledge of AWS billing and native cost tool (Cost Explorer).
• Strong communication and collaboration skills; experience working with engineering and finance teams.

• Exposure to Azure or GCP cost models.
• FinOps Practitioner or cloud provider certifications.

Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.