Senior Site Reliability Engineer; Terraform & AWS

Senior Site Reliability Engineer (Terraform & AWS)

Location: New York, NY 10007

Work Arrangement: Hybrid, onsite Tuesday through Thursday

Employment Type: Full-time, Permanent

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time

About the Role

We are seeking a Senior Site Reliability Engineer to help build, scale, and operate secure, reliable cloud infrastructure and internal developer platforms supporting healthcare products used by enterprise physician groups.

This is a hands-on individual contributor role for an engineer who combines strong software development skills with deep cloud infrastructure expertise. You will take ownership of infrastructure automation, platform engineering, data infrastructure, and production reliability, helping engineering teams deliver software faster and more safely.

Strong, practical experience with Terraform and AWS is essential
. We are looking for someone who builds scalable solutions, improves engineering standards, and takes ownership of systems from design through production operations.

Key Responsibilities

• Cloud Infrastructure & IaC: Design, build, and maintain secure, scalable AWS infrastructure using Terraform, reusable modules, and standardized deployment patterns.
• Platform Engineering: Build and improve internal developer tooling, CI/CD pipelines, automated testing, and local and ephemeres development environments.
• Reliability & Observability: Establish monitoring, alerting, and distributed tracing standards using Datadog. Improve system availability, performance, and operational resilience.
• Data Infrastructure: Own and improve PostgreSQL, Amazon RDS/Aurora, DynamoDB, and Snowflake environments, with a focus on high availability, backups, disaster recovery, and database migrations.
• Automation & Software Engineering: Develop Python-based automation and infrastructure tooling while maintaining high standards for code quality, testing, maintainability, and security.
• Security & Compliance: Strengthen IAM, network security, and sensitive data protection practices in a regulated healthcare environment, supporting HIPAA and SOC 2 requirements.
• Engineering
  
  Collaboration:
  
  Partner with product and engineering teams to remove technical bottlenecks, establish best practices, and build reusable platform capabilities.
• AI-Assisted Development: Use AI coding tools such as Claude Code to accelerate development, review, and troubleshooting, with appropriate validation and engineering oversight.

Required Qualifications

• 6+ years of software engineering experience, including at least 3 years in Dev Ops, Site Reliability Engineering, platform engineering, or cloud infrastructure.
• Strong, hands-on experience with Terraform and Infrastructure as Code
  , including infrastructure provisioning and reusable modules.
• Solid experience designing, deploying, and operating production workloads on AWS.
• Proficiency in Python 3, scripting, and automation.
• Experience with AWS services such as ECS/Fargate, Lambda, and Step Functions.
• Experience with Docker, containerized workflows, Git Hub, and CI/CD pipelines, including Git Hub Actions.
• Experience with Datadog or comparable observability platforms for monitoring, alerting, and tracing.
• Working knowledge of PostgreSQL and cloud database services, ideally Amazon RDS/Aurora, including reliability, backups, and recovery.
• Experience building and operating production systems with a focus on security, performance, and reliability.
• Strong problem-solving skills, engineering judgment, and a demonstrated sense of ownership.

Preferred Qualifications

• Experience with Snowflake or similar cloud data platforms and DynamoDB.
• Familiarity with workflow orchestration tools such as Temporal or Apache Airflow.
• Experience working in healthcare, financial services, or another regulated industry.
• Familiarity with HIPAA, SOC 2, IAM, network security, and sensitive data handling.
• Experience building self-service developer platforms and improving engineering productivity.
• Familiarity with AI-assisted software development tools and practices.

What Makes This Opportunity Interesting?

• Take ownership of cloud infrastructure and platform capabilities rather than simply maintaining existing systems.
• Influence engineering standards, automation practices, and production reliability.
• Work across cloud infrastructure, software engineering, developer tooling, and data platforms.
• Help strengthen the security and resilience of technology…