Senior DevOps Engineer, Platform Infrastructure

Reposted 23 Days Ago
New York City, NY, USA
In-Office
160K-200K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Retail • Business Intelligence • Conversational AI
We're building the future of Enterprise Intelligence.
The Role
As a Senior DevOps Engineer, you'll architect reliable infrastructure for autonomous AI systems, ensuring 99.97% uptime while handling high-volume data processing and implementing secure, compliant systems for major retailers.
Summary Generated by Built In

About Merciv

Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, consumer behavior — and surface the insights and automated workflows that used to take analysts weeks.

We raised $14M in seed funding, spent two years in stealth building the right thing, and we're now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the world's largest retailers.

We're a lean, high-ownership team. If you want to see your work matter immediately, this is it.

The Role

You'll own the infrastructure that keeps Merciv running at enterprise scale. You'll architect, build, and maintain the cloud systems that Fortune 500 retailers trust with their most critical data and decision-making. This is a hands-on, high-ownership role — you'll work closely with backend and ML engineers to ensure our platform is secure, scalable, and relentlessly reliable.

We believe in GitOps, infrastructure as code, and building systems that let engineering teams move fast without breaking things. You'll be the person who makes that real.

What You'll Do

  • Architect and build secure, scalable cloud infrastructure using IaC (Terraform/Terragrunt) on AWS

  • Design and maintain robust CI/CD pipelines; convert manual processes into automated, repeatable workflows

  • Own production reliability — set up observability stacks, define SLI/SLOs, and lead incident response

  • Implement and champion GitOps workflows for all infrastructure deployments

  • Build compliance-ready infrastructure (SOC 2, GDPR) with IAM best practices and secrets management

  • Optimize cloud costs while maintaining performance and reliability at scale

  • Create developer tooling and documentation that accelerates engineering workflows across the team

  • Mentor team members on DevOps best practices and guide infrastructure strategy

You May Be a Good Fit If

  • You have 4–7+ years of industry experience with at least 4 years in hands-on DevOps/infrastructure roles

  • You have 4+ years managing cloud infrastructure in production — AWS strongly preferred

  • You have 2+ years of production Kubernetes experience (EKS preferred)

  • You're deeply proficient in Terraform/Terragrunt and Infrastructure-as-Code principles

  • You have strong scripting skills in Python and Bash — you automate everything you can

  • You have experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar)

  • You have a security-first mindset with experience implementing compliance frameworks

  • Former technical founders are encouraged to apply — we care more about what you've built than how long you've been building

Bonus points for:

  • Experience supporting ML/AI workloads and GPU infrastructure

  • Familiarity with service mesh architectures and advanced networking

  • Experience with multi-tenant enterprise SaaS infrastructure

  • Background in cost optimization and FinOps practices

How We're Different

Most AI platforms bolt intelligence onto existing workflows. We're building the intelligence layer from scratch — connecting every data source an enterprise touches and making it actionable in real time. The infrastructure you build here doesn't just support a product — it's what makes autonomous enterprise intelligence possible at scale.

Why Merciv

  • Our platform drives 8-figure gross margin improvements for the world's largest retailers — you'll see real impact fast

  • Hard technical challenges at the intersection of agentic AI, distributed systems, and enterprise data

  • Small team, massive surface area — you own what you build

  • Competitive salary, meaningful equity, health/dental/vision, 401k, home office stipend, flexible PTO

  • A culture built on craft, intellectual honesty, and real human connection

Interview Process

  1. Application reviewed by a human

  2. Intro call with our recruiting team

  3. Technical conversation with an infrastructure lead

  4. On-site — meet the team, work through a real problem

We Encourage You to Apply

Strong candidates don't always meet every qualification listed. If you're excited about this problem space and have the infrastructure fundamentals, we'd rather talk to you than not. We're building a diverse team on purpose — different perspectives make the product and the company better.

Logistics

  • On-site in NYC, 3-5 days/week

  • Visa sponsorship available

  • Applications reviewed on a rolling basis

Skills Required

  • 6-10+ years of industry experience with at least 4 years in hands-on DevOps roles
  • 4+ years managing cloud infrastructure in production (AWS strongly preferred)
  • 2+ years of production Kubernetes experience (EKS preferred)
  • Strong Python and Bash scripting for automation and CLI tool development
  • Expert-level AWS knowledge (EC2, EKS, Lambda, S3, RDS, IAM, Secrets Manager, KMS)
  • Advanced Infrastructure-as-Code expertise with Terraform and Terragrunt
  • Advanced Docker knowledge and container debugging skills
Am I A Good Fit?
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The Company
7 Employees
Year Founded: 2022

What We Do

Merciv provides enterprises with an end-to-end intelligence platform that guides data through a complete journey—from raw information to clear insights, organizational knowledge, and predictive foresight. By seamlessly integrating vast data resources, offering natural language interaction, and delivering proactive, actionable intelligence, Merciv empowers organizations to unlock hidden opportunities, optimize operations, and shape their future in an increasingly complex, data-driven world.

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