Senior Platform Engineer

Huxley; Boston (OH); Hybrid; USD 165,000 - 185,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid leave

Job summary

Huxley seeks a Senior Platform Engineer in Boston, MA, focused on designing, building, and operating scalable cloud infrastructure in AWS within a fast-paced investment banking environment. The role emphasizes AWS, Kubernetes, and Infrastructure as Code (Terraform).

Candidates should have strong experience in AI/ML systems and tooling in Python. The position is hybrid, requiring 3 days onsite, and offers a competitive salary package along with bonuses and benefits.

Qualifications

• Strong AWS experience in production environments.
• Hands-on Kubernetes experience.
• Terraform or similar Infrastructure as Code (IaC) tools.
• Solid Python skills.
• Experience with observability/monitoring tools.
• Strong experience working with AI/ML systems.

Responsibilities

• Design and build AWS-based infrastructure (compute, networking, security).
• Deploy and manage Kubernetes-based applications.
• Drive Infrastructure as Code (Terraform).
• Build automation and tooling in Python.
• Support integration of modern AI/ML capabilities.

Skills

AWS experience in production environments

Kubernetes

Terraform or similar IaC tools

Python

Observability/monitoring tools

AI/ML systems experience

Job description

This is a Senior Platform Engineer role focused on designing, building, and operating scalable, high-performance cloud infrastructure in AWS within a fast-paced investment banking environment.

Title: Senior Platform Engineer

Location: Boston, MA - Hybrid (3 days onsite)

Salary: $165k - $185k (Up to $250k TC) + Bonus + Benefits

What You'll Do:

• Design and build AWS-based infrastructure (compute, networking, security)
• Deploy and manage Kubernetes-based applications
• Drive Infrastructure as Code (Terraform)
• Build automation and tooling in Python
• Support integration of modern AI/ML capabilities

What You Need:

• Strong AWS experience in production environments
• Hands-on Kubernetes experience
• Terraform or similar IaC tools
• Solid Python skills
• Experience with observability/monitoring tools
• Strong experience working with AI/ML systems

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.