Senior DevOps Engineer

About the job
As a Senior DevOps Engineer, you will be a critical member of our infrastructure team based in New York, providing earlier-hours coverage and support for our cloud-based platform as we scale into a multi-shard environment. You will work closely with software engineers to deploy code at scale, drive SRE practices, and lead infrastructure reliability, observability, and security initiatives.

This is a high-visibility, highly independent role that requires strong ownership. You will be instrumental in expanding our logging, monitoring, and observability tooling, and will also play a key part in setting up our Google Cloud Platform (GCP) infrastructure as we expand our AI capabilities.

This role requires 3 days in-office (Tuesday, Wednesday, Thursday).

What you’ll Do

Provide infrastructure support and on-call coverage from New York, ensuring east-coast availability during early business hours.
Manage and scale our multi-shard AWS environment, maintaining high availability, performance, and security.
Own SRE responsibilities: incident response, reliability engineering, and improving system uptime and resilience.
Build and expand logging, monitoring, alerting, and observability tooling across our cloud infrastructure.
Work with engineering teams to ensure new features are deployed quickly, safely, and easily.
Spearhead network security and compliance initiatives, implementing fine-grained access controls.
Lead the setup and configuration of GCP infrastructure, including permissions, IAM, and AI platform services (Gemini Enterprise Agent Platform / Vertex AI).
Design and implement automation and configuration management to streamline deployment processes.

Who you are

A self-starter comfortable working independently in a remote/New York setting, with strong ownership of your domain.
Passionate about automation, observability, and building reliable, scalable systems.
Experienced with SRE practices — you think about reliability, error budgets, and scalability proactively.
A clear communicator who works well across engineering teams and time zones.
Excited by multi-shard architectures and the infrastructure challenges that come with them.

Qualifications

B.S. in Computer Science or equivalent experience.
8+ years of DevOps/SRE experience in a production environment.
Deep experience deploying and managing infrastructure on Amazon Web Services (EC2, S3, RDS, EKS, Opensearch and related services).
Strong understanding of networking fundamentals, Linux systems administration, and modern web architectures (HTTP, REST).
Proficiency in shell scripting and at least one scripting language (Python, Ruby, etc.).
Hands-on experience building and maintaining logging, monitoring, alerting, and observability systems.

Nice to haves

Experience with Google Cloud Platform (GCP) — particularly IAM, networking, and managed services.
Familiarity with Gemini Enterprise Agent Platform or Vertex AI infrastructure setup.
Experience scaling infrastructure to support AI/ML workloads.
Database administration experience (PostgreSQL, MySQL, or similar).
Experience with automation and configuration management tools such as Ansible, Chef, or Puppet.
Experience with multi-shard or multi-tenant SaaS architectures.