Senior DevOps & Data Engineer — AWS/EKS Lakehouse

Alder; United States; Hybrid; USD 175,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work opportunities

Health, dental, and vision insurance

Job summary

Alder is building an intelligent eldercare platform on AWS with a data lakehouse core. The Principal DevOps & Data Engineer owns the platform and the data infrastructure, ensuring reliability, security, and cost efficiency while enabling analytics at scale.

You will work closely with data and application engineers to maintain a compliant, observable pipeline, leveraging Kubernetes, dbt, and S3 medallion concepts to empower AI features.

Qualifications

• 8+ years across DevOps/platform and data engineering.
• Strong AWS experience: multi-account, IAM, EKS, S3, Athena/Glue.
• IaC with Terraform/CDK/CloudFormation and CI/CD design.
• Production Kubernetes operations with observability tooling.
• SQL, data modeling and batch/streaming pipelines.
• Python and shell scripting; read Java services.
• HIPAA-aware security mindset; experience with regulated data.
• Excellent written and verbal communication; hybrid in Greater Boston.

Responsibilities

• Own and evolve AWS multi-account environments across stages.
• Manage Kubernetes platform (EKS/Istio) and GitLab CI/CD pipelines.
• Define reproducible, auditable infrastructure as code.
• Improve observability, reliability, cost and security across services.
• Operate data lakehouse on S3 with dbt and Athena ingestion.
• Build reliable data pipelines with data contracts and lineage.
• Collaborate with engineers on event-sourced models and warehousing.

Skills

DevOps

Data Engineering

AWS

Terraform/CDK

CI/CD

Kubernetes

Security & Compliance

Python

Tools

Terraform

CDK

CloudFormation

GitLab CI

Prometheus

Grafana

OpenTelemetry

dbt

Athena

S3

Istio

Job description

Alder is building an intelligent eldercare platform on AWS with a data lakehouse core. The Principal DevOps & Data Engineer owns the platform and the data infrastructure, ensuring reliability, security, and cost efficiency while enabling analytics at scale.

You will work closely with data and application engineers to maintain a compliant, observable pipeline, leveraging Kubernetes, dbt, and S3 medallion concepts to empower AI features.