Manager, Infrastructure & Security

Nue, LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 225K

Job location

Remote

Tech stack

Salesforce Object Search Language (SOSL)
Java
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Confluence
JIRA
Software as a Service
Cloud Computing Security
Databases
Continuous Integration
Cursor (Graphical User Interface Elements)
Github
Identity and Access Management
Key Management
PostgreSQL
Network Segmentation
Node.js
Systems Development Life Cycle
Salesforce
TypeScript
Data Logging
Apex Code
React
System Availability
Spring-boot
Software Security
Deep Learning
Backend
Amazon Web Services (AWS)
WebPack
Gitlab-ci
Material Design
Kafka
Salesforce Object Query Language (SOQL)
GraphQL
Front End Software Development
Functional Programming
Cloud Optimization
REST
Amazon Web Services (AWS)
Terraform
Dynatrace
Docker
Jenkins
ServiceNow
Static Application Security Testing
Dynamic Application Security Testing

Job description

Nue is the AI-powered revenue architecture platform that unifies CPQ, billing, and revenue lifecycle management into a single system. It enables companies to simplify complex pricing, automate monetization, and gain full control over how they generate and scale revenue. Working with customers such as OpenAI, Chilipiper, Glean, HootSuite, and Mews. Nue helps sales, operations, and finance teams gain revenue acceleration, operational efficiency and revenue controls at speed and scale. Senior Manager, Infrastructure & Security Reports to: Senior Director of Engineering, Platform & Infrastructure What You'll do Lead Cloud Infrastructure & SRE

  • Lead Cloud Infrastructure & SRE: AWS (ECS, EKS, networking, VPCs, IAM), databases (PostgreSQL, Kafka, DynamoDB), IaC standards, SLOs, error budgets, DR/BCP, and a sustainable on-call program
  • Own CI/CD & Developer Experience: GitLab CI across ~150 repos: build speed, reliability, test signal, release safety, environments, and paved roads for new services
  • Drive Observability & Cloud Cost: high signal logging/metrics/tracing/alerting stack, SLO instrumentation, cloud cost attribution by team/service, FinOps practice
  • Lead Application & Cloud Security end-to-end: secure SDLC, SAST/DAST/SCA, vuln triage and SLAs, secrets hygiene, IAM, CSPM
  • Partner with IT to support compliance program, customer security questionnaires, and pen-test remediation
  • Own Vendor & Tooling Portfolio: build-vs-buy decisions, vendor selection, POCs and lifecycle across observability, CI/CD, security, and incident management

Grow and Develop the Team

  • Hire, onboard, and mentor engineers. Actively participate in recruiting; interview candidates, provide calibrated feedback, and raise the bar.
  • Conduct regular 1:1s, provide actionable feedback, and support career development for each team member.
  • Build a culture of urgency, ownership, customer empathy, and continuous improvement., * Incident command - you've run customer-facing major incidents both as incident commander and as the manager supporting the team. You know the difference between those roles.
  • Application security - you've embedded security into the SDLC: SAST/DAST/SCA, vuln management with SLAs, and threat modeling as a team practice, not a checkbox.
  • Cloud security posture - you own IAM, secrets management, network segmentation, and CSPM. You've hardened an AWS environment and can explain the tradeoffs you made.
  • Compliance partnership - you've worked alongside IT on compliance programs (SOC 2, ISO 27001, or similar) and know how to translate requirements into engineering work.
  • Deeply hands-on - you've kept your technical edge as your teams have grown, and you're still close enough to the work to spot problems early and earn credibility with your engineers.
  • Bias for action - you default to doing, not delegating. When something is broken, you dig in. When a process isn't working, you fix it. You don't wait to be told.
  • Active AI adoption - you use AI-assisted tools (Claude Code, Copilot, Cursor, Windsurf, or similar) as part of your daily workflow for incident diagnosis, IaC authoring, runbook generation, or log and metric analysis. You can describe specifically how, not just that you do.

Preferred

  • B2B SaaS experience with Salesforce coupling - managed packages, org provisioning, integration patterns
  • CPQ, billing, or revenue domain - high-stakes correctness, audit-relevant data
  • Experience standing up a Platform Engineering practice or internal developer platform (Team Topologies, paved roads)

Tech Stack

  • Salesforce Platform: Apex, Lightning Web Components (LWC), SOQL, Flows, managed packages
  • Backend: Java (Spring Boot), Node.js, REST APIs, GraphQL
  • Frontend: React 16, TypeScript, Material-UI, Webpack
  • Database: PostgreSQL (AWS RDS), Salesforce SOQL/SOSL
  • Infrastructure: AWS (Lambda, SQS, S3), Kafka, Docker, GitLab CI/CD
  • AI Tooling: Claude Code, Windsurf, Copilot (used daily across engineering)
  • Collaboration: Jira, Slack, Gem, Fellow, Confluence, Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation The Principal Platform Architect will provide technical advisory for customers using ServiceNow, ensuring alignment with business goals and leading digital transformation projects. Responsibilities include managing technical governance, developing customer relations, and mentoring team members. Top Skills: Ai-Enhanced TechnologyCloud Application TechnologyServicenow, ServiceNow, Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation The Principal Platform Architect guides customers in digital transformation, ensuring effective use of the ServiceNow platform through technical governance and strategic project delivery. Responsibilities include aligning technology with business goals, managing architectural solutions, and providing expert insight on platform health and best practices. Top Skills: AIServicenow Platform Fluent, Inc.

Requirements

  • 7+ years of infrastructure or SRE engineering experience, with at least 3 years managing platform, infra, or SRE teams in a product-focused SaaS environment.
  • Production AWS ownership - you've run HA workloads on AWS at scale, covering high availability, governance, compliance, and a 24/7 on-call program.
  • Infrastructure as code - you've built and scaled IaC practices using Terraform, and know enough about packaging tooling (Helm, Kustomize, or similar) to make good architectural decisions and hold the team to a high bar.
  • CI/CD fluency - you've built or owned pipelines in GitLab CI, GitHub Actions, Jenkins, or similar, and know where they break under scale.
  • Observability ownership - you've built or evolved an observability stack and made it materially better: alerting, SLOs, and distributed tracing for a real production system.

Benefits & conditions

  • Competitive compensation and benefits that reward your talent and impact.
  • Comprehensive health, vision, dental, and life insurance
  • A front-row seat in the Silicon Valley tech ecosystem, where you'll work on cutting-edge challenges shaping the future of SaaS, finance, and payments.
  • The opportunity to build truly groundbreaking products - your work won't just support the business; it will influence how companies around the world monetize and grow.
  • A high-energy, collaborative culture where smart, supportive teammates push each other to learn fast, think boldly, and do the best work of their careers.
  • Room to grow, lead, and make your mark in a fast-scaling company that values creativity, ownership, and ambition.

Nue.IO is an equal opportunity employer and welcome people of diverse backgrounds, perspectives, and skills. We will work with applicants to provide accommodations at any stage of the hiring process. If you require accommodations during the interview process, please email your Talent Partner, and we will work with you to meet your needs., 14 Hours Ago In-Office or Remote 180K-225K Annually Senior level 180K-225K Annually Senior level AdTech * Digital Media * eCommerce * Marketing Tech Lead the Data Science team to implement advanced ML models in AdTech, optimizing bidding strategies and enhancing decision-making through Deep Learning architectures while managing team performance and collaboration. Top Skills: DatabricksDeep LearningMachine LearningMlflowOnnxPythonPyTorchScikit-LearnTensorFlowTensorrtXgboost

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