Platform & Infra Engineer: Kubernetes, AWS, Data

FORUS; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, vision, and dental

Equity

Unlimited PTO + 16 weeks parental-leav

401K plan

Commuter benefits

Office meals

Job summary

Forus seeks a Software Engineer, Platform & Infrastructure in New York to own the compute and data foundations the company runs on. You will manage the EKS platform, data layer (PostgreSQL, OpenSearch, BigQuery), and cloud spend, driving reliability, cost efficiency, and scalable architecture.

This high-autonomy role requires ownership, fast learning, and impactful work that accelerates growth while shaping the company’s technical direction.

Qualifications

• Experience operating production Kubernetes at scale with networking, autoscaling and reliability.
• Deep AWS expertise (EKS, VPC, IAM boundaries) and infrastructure-as-code with Terraform.
• Experience migrating relational stores under production load (Postgres preferred).
• Ability to simplify complex systems and reduce surface area.

Responsibilities

• Own compute platform including container orchestration, networking, autoscaling, service topology and ingress for reliability as we scale.
• Own data layer across Postgres, OpenSearch, and BigQuery; drive performance and cost efficiency.
• Lead cloud spend attribution and optimization across compute, data, and storage.
• Define and own platform reliability including SLOs, capacity planning, observability, and incident response.
• Build infrastructure-as-code and reusable primitives for safe provisioning by product teams.

Skills

Kubernetes at scale

AWS (EKS, VPC, IAM)

Infrastructure as Code (Terraform)

PostgreSQL

OpenSearch

BigQuery

Cost optimization

Observability / SRE

Tools

Terraform

PostgreSQL

OpenSearch

BigQuery

Job description

Forus seeks a Software Engineer, Platform & Infrastructure in New York to own the compute and data foundations the company runs on. You will manage the EKS platform, data layer (PostgreSQL, OpenSearch, BigQuery), and cloud spend, driving reliability, cost efficiency, and scalable architecture.

This high-autonomy role requires ownership, fast learning, and impactful work that accelerates growth while shaping the company’s technical direction.