Staff Systems Engineer

Posted 19 Days Ago
Be an Early Applicant
Dublin, IRL
Hybrid
Mid level
Artificial Intelligence • Fintech • Software
Founded in 2017, Inscribe is trusted by leading fintechs like Navan, Plaid, Bluevine, and Ramp.
The Role
Own and scale infrastructure supporting real-time APIs and internal services. Lead cloud architecture, deployment automation, observability, datastore optimization, capacity planning, reliability, and performance initiatives. Improve uptime, latency, cost efficiency, and developer velocity while driving infrastructure projects from roadmap through rollout. Collaborate on backend and distributed systems, mentor engineers, and establish operational best practices.
Summary Generated by Built In
About Inscribe

At Inscribe, we're on a mission to catch fraud with confidence. In 2017, we set out to build the first document fraud detection product. Today, we process millions of applications each year and work with many of the leading fintechs and banks across the U.S. We believe the game of cat-and-mouse in fraud requires a fundamentally new approach. With care for our customers, attention to detail, and grounded execution, we’re reimagining how fraud is detected and prevented.

Inscribe is trusted by leading banks and fintechs, including Coinbase, Plaid, Bluevine, and Ramp. Inscribe is backed by Threshold Ventures, Uncork Capital, Y Combinator, Crosslink Capital, and Foundry, and is headquartered in San Francisco, CA.

The Opportunity

Inscribe is scaling quickly, and our platform sits at the heart of our customers’ fraud workflows. We’re hiring a Staff Systems Engineer to take ownership of the systems and infrastructure that support our real-time API product and internal services.

This role blends DevOps, site reliability, cloud architecture, backend engineering, and datastore optimization. You'll work across the entire stack to drive performance, observability, scalability, and operational rigor. You'll be instrumental in ensuring that as our customer base and data volumes grow, our systems stay fast, stable, and cost-efficient.

We’re looking for a high-agency engineer who can evaluate what exists today, identify what won’t scale, and execute improvements aligned with our business goals. This is a hands-on role for someone who thinks in systems, builds with urgency, and raises the engineering bar across the company.

Responsibilities
  • Lead design, implementation, and scaling of core infrastructure across compute (ECS), data (Postgres, Redis), observability (Datadog, Grafana), and networking layers

  • Optimize deployment pipelines, test environments, and release automation to improve developer efficiency and reduce operational risk

  • Monitor and improve production system uptime, latency, and cost performance

  • Collaborate with engineers to tune service performance, database access patterns, and caching strategies

  • Own capacity planning, system reliability, and on-call best practices — proactively preventing incidents, not just reacting to them

  • Drive architectural decisions for high-throughput API services, balancing long-term scalability with short-term velocity

  • Contribute to tooling and processes that foster operational excellence across the engineering organization

  • Lead infrastructure projects from roadmap through rollout, always anchored in business impact and product goals

  • Mentor teammates and model a high standard for engineering quality, documentation, and decision-making

Tech Stack

We don't expect candidates to know everything, but experience in most of these areas will be helpful:

  • Cloud: AWS (ECS, S3, Bedrock, etc.)

  • Infrastructure: Terraform, Docker

  • Observability: Datadog, Grafana

  • Datastores: Postgres, Redis

  • Languages: Python (Django), VueJS

  • AI Platforms: Anthropic, AWS Bedrock

About You
  • 4+ years of hands-on experience across systems engineering, DevOps, SRE, or cloud architecture

  • Proven ability to scale production systems and infrastructure in high-growth environments

  • Deep familiarity with distributed systems, event-driven architectures, and data-heavy backend systems

  • Strong backend development skills in Python, with an ability to get deep into the codebase

  • Passion for reducing toil, automating operational tasks, and improving engineering velocity

  • Business-aware mindset: You can align infrastructure decisions with product goals and growth strategy

  • Pragmatic, high-agency problem solver — able to balance short-term delivery with long-term vision

  • You’re energized by wearing many hats, pushing technical boundaries, and leading by example

Interview Process
  1. Initial Screen with the Hiring Manager to talk through the role and your experience (30 min)

  2. Check In Call with HR to understand and align motivations and expectations (30 minutes)

  3. Take Home Technical Exercise followed by a live discussion with 1-2 team members to review the test and assess your technical ability (1 hour)

  4. Meet our CTO to discuss Inscribe’s vision and align on values (30 minutes)


Benefits

At Inscribe, we are building a company and culture where everyone can produce their best work. Here are a few of our benefits and perks:

  • Competitive salary and meaningful equity

  • Comprehensive healthcare

  • Unlimited vacation policy

  • 401(k) and pension plans

  • Complete work setup

  • Monthly wellness stipend

Inscribe provides equity employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type with regards to  race, color, religion or religious belief, ethnic or national origin, nationality, sex, genetics,  gender, gender identity, sexual orientation, disability, age, military or veteran status, disability status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy.

Skills Required

  • 4+ years of hands-on experience across systems engineering, DevOps, SRE, or cloud architecture
  • Experience scaling production systems and infrastructure in high-growth environments
  • Familiarity with distributed systems, event-driven architectures, and data-heavy backend systems
  • Strong backend development skills in Python and ability to work deeply in a codebase
  • Ability to automate operational tasks and improve engineering velocity
  • Business-aware mindset aligning infrastructure decisions with product goals and growth strategy
  • Pragmatic, high-agency problem-solving ability balancing short-term delivery with long-term vision
  • Experience with AWS, infrastructure as code, containers, observability tools, datastores, Python, or AI platforms
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
60 Employees
Year Founded: 2017

What We Do

Inscribe is an AI-powered Risk Intelligence platform that helps risk and ops teams identify trustworthy and creditworthy customers — without the pain and uncertainty of manual document reviews. With 99% precision, Inscribe customers can catch more fraud and credit abuse while improving employee efficiency. Inscribe is backed by Threshold Ventures, Uncork Capital, Y Combinator, Crosslink Capital, and Foundry. Learn more at inscribe.ai.

Why Work With Us

We believe celebrating diversity (in all its forms) leads to more innovation, a better community, and a more fulfilling workplace. Inscribe is committed to fostering inclusive, collaborative, and discrimination-free working conditions for every member of our team.

Gallery

Gallery

Similar Jobs

Quora Logo Quora

Machine Learning Engineer

Artificial Intelligence • Consumer Web • Digital Media • Machine Learning • Software
In-Office or Remote
4 Locations
240 Employees
220K-329K Annually
In-Office
Dublin, IRL
8768 Employees
109K-164K Annually

Analog Devices Logo Analog Devices

Staff Engineer

Artificial Intelligence • Hardware • Automation • Manufacturing
In-Office
Glasnevin, Dublin, IRL
20292 Employees

LiveKit Logo LiveKit

Staff Software Engineer

Artificial Intelligence • Cloud • Information Technology • Software
In-Office or Remote
30 Locations
83 Employees
135K-300K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account