Senior DevOps Engineer

Newton Research•Needham, MA

About The Position

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products power a wide range of workflows across brands, agencies and publishers, assisting in each step of the media planning, buying and measurement lifecycle. We're looking for a Senior DevOps Engineer who thrives on automation, owns the reliability of our infrastructure, and isn't afraid to put AI to work as a daily tool in their workflow. This is a high-ownership role on a small, nimble team — you'll have a direct hand in shaping every decision, from tooling choices to architectural direction. There's no hiding behind the process here; you'll own problems end to end and have real autonomy over how our systems are built and run. You'll be responsible for building and maintaining the infrastructure that lets our engineering team ship with confidence — from provisioning to production observability.

Requirements

7+ years of experience in a DevOps, SRE, or infrastructure engineering role with demonstrated ownership of production systems at scale
Deep expertise in AWS with working knowledge of Azure and GCP
Strong hands-on experience with Terraform across multiple cloud providers
Production experience with both ECS and Kubernetes
Proficiency with CI/CD tooling, particularly GitHub Actions
Experience implementing and managing SSO via SAML 2.0 and/or OIDC with enterprise identity providers (e.g., Okta, Entra ID, Google Workspace); familiarity with Auth0 as a service provider is a plus
Experience supporting SOC 2 audits or similar compliance frameworks (e.g., ISO 27001)
Scripting and automation fluency in Python, Bash, or Go
Solid understanding of networking fundamentals (DNS, load balancing, firewalls, VPC design) including experience configuring and managing client and site-to-site VPN connections
Experience managing and supporting cloud data warehouse infrastructure (e.g., Snowflake, BigQuery, Redshift, Athena)
Comfort with Linux system administration
A track record of using AI as a practical tool in day-to-day work
Strong communication skills, including the ability to present technical tradeoffs to non-technical stakeholders

Nice To Haves

Familiarity with Auth0 as a service provider

Responsibilities

Architect, build, and maintain cloud infrastructure using Infrastructure as Code (Terraform), with a primary focus on AWS and supporting customer-installed environments on Azure and GCP
Own our container orchestration layer across both ECS and Kubernetes, ensuring workloads are reliable, scalable, and cost-efficient
Evaluate and recommend tooling, patterns, and platform investments that shape the direction of our infrastructure
Design and manage CI/CD pipelines (GitHub Actions) and own the release pipeline end to end — from code merge through staging validation to production rollout, including rollback strategies and release gating
Define and drive best practices for deployment safety, environment promotion, and release cadence
Instrument systems with robust monitoring, observability, and log aggregation tooling (Sentry, Better Stack, Prometheus, etc.), define SLOs/SLIs, and lead incident response and postmortem processes
Own and maintain SSO integrations, ensuring internal tooling and customer-facing applications support enterprise identity providers via SAML and OIDC, including customer onboarding for SSO in their installed environments
Maintain and advance our SOC 2 compliance posture — implementing and enforcing controls around access management, audit logging, change management, and encryption, and owning technical evidence collection for audits
Automate everything worth automating — if a process is manual and repeatable, find a way to script it, pipeline it, or eliminate it
Support and maintain data infrastructure including data warehouses and query engines (Snowflake, BigQuery, Redshift, Athena, etc.), ensuring reliable pipelines and access for analytics and product workloads
Actively leverage AI-powered tools (code assistants, automated review, intelligent alerting, generative AI for infrastructure analysis) and champion their adoption across the engineering organization
Collaborate with compliance and security stakeholders to close gaps and respond to auditor requests