Distinguished Software Engineer, SecurityScorecard

A.I

$350-400k

Plus stock options. For candidates based in Canada, the estimated total compensation range for this position is $400,000-$500,000 CAD, all base salary. This role also includes a substantial equity grant on top of cash compensation

AWS

Docker

Kubernetes

TypeScript

Whiteboard

Expert level

Remote from Canada, US

Cybersecurity ratings & risk management

Be an early applicant

Cybersecurity ratings & risk management

501-1000 employees

B2BData storageSecurityEnterpriseCyber Security

Be an early applicant

$350-400k

AWS

Docker

Kubernetes

TypeScript

Whiteboard

Expert level

Remote from Canada, US

501-1000 employees

B2BData storageSecurityEnterpriseCyber Security

Company mission

To make the world a safer place by transforming the way organisations understand, mitigate, and communicate cybersecurity risk to their boards, employees and vendors.

Job

Company

Role

Who you are

10+ years building and shipping production software, with a track record at strong engineering companies (big tech, high-growth startups, or both)
Evidence that you drove things. We want the people who set the direction on their teams, not the ones who rode along
Deep computer science and system design fundamentals. You can design a distributed system on a whiteboard and explain how it fails
Heavy, hands-on use of AI coding tools on real codebases, with opinions about what works and what doesn't
Experience building with LLMs: agents, tool use, evals, prompt, and context design
Proficiency in TypeScript and strong backend engineering fundamentals
Comfort with ambiguity and a team that changes shape. You'll help define the job as we go
Experience designing and operating distributed systems in cloud environments (AWS preferred)
Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices
Clear, direct communication with both technical and non-technical stakeholders

What the job involves

We're starting a new engineering team, and its job is to change how SecurityScorecard builds software. You'll be one of the first people on it
The team works out how a company our size should ship code now that agents can write most of it
That means real work on the codebase: running agentic coding workflows end to end, finding where they break, building the tooling and guardrails that fix those breaks, and turning what works into the way the rest of engineering operates
We'll pick product areas to test against as we go. Over time the team takes on real product ownership and folds back into the wider engineering org
We want strong engineers who went deep on AI coding because they couldn't leave it alone. You know how production systems fail and you've pushed agentic tools far enough to know where they still fall short. You also care about building a team you'd want to work on, and you'll stick around after the novelty wears off
This is greenfield. You'll report to our CTO or to an engineer leading the team, and the reporting lines will move as the team grows. If titles and org charts matter a lot to you, this role won't be a good fit. We care about execution and impact
Run agentic coding workflows on production code and find out what actually holds up at our scale
Build the tooling, guardrails, evals and review practices that let agents ship code we trust
Design systems that stay sound when most of the code is written by agents, and decide where humans need to stay in the loop
Ship real changes to our products, using them as test cases for the new way of working
Pair with engineers across the org, review their work and help them adopt what we learn
Raise the hiring bar: interview candidates and help decide who joins the team
Write down what we learn so other teams can use it without us in the room
Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end
Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights
Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation
Use AI-native development tools (Claude Code, Codex, Cursor, etc.) as a core part of your workflow, setting the standard for how this team builds
Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch
Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices
Our tech stack: TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Application process

Expect a system design round, a coding exercise where you're expected to use AI tools, and a deep dive into a project you led, including how you used AI on it. We'll ask follow-up questions until we understand the decisions you made and why

Our take

Organisations understand the value of data, and the business partnerships that will help them leverage it. However, involving more companies increases the risk of vulnerabilities and, therefore, costly data breaches. SecurityScorecard is a cloud-based enterprise SaaS solution that helps organisations assess and manage cybersecurity risks, offering analyses of potential partner companies using A-F security ratings.

SecurityScorecard looms over its competitors as it covers millions of companies, offering near-instant cybersecurity analyses and an array of capabilities. It has a large, global, and big-name customer base, including 9 of the top 10 pharmaceutical companies and 9 of the top 10 banking institutions - and it is likely to go public in the next few years.

The company has consolidated an impressive lead in a sector that will certainly continue to grow. It continues to bolster its offering, for example with the release of its supply chain cyber risk management platform, MAX, as well as through the acquisition of internet scanning startup Driftnet.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

62% employee growth in 12 months

Glassdoor (3.4)

Trustpilot (3.7)

Company

Funding (last 2 of 6 rounds)

Mar 2021

$180m

SERIES E

Jun 2019

$50m

SERIES D

Total funding: $292.2m

Company benefits

Stock options
12 weeks of paid maternity leave / 4 weeks paid paternity leave
Work from home opportunities
Medical, dental, and vision coverage
Unlimited PTO
401K
$3k annual education stipend per employee
Full access to our learning platform and company professional development events
Up to $10K referral bonus

Company HQ

Midtown South, New York, NY

Leadership

Aleksandr Yampolskiy

(CEO & Co-Founder)

Worked at Oracle and Goldman Sachs, before serving for 2 years as CISO of Gilt Group. Founded NYC Technology Startup, Meetup, in 2012 and then worked as CTO of Cinchcast.

Sam Kassoumeh

(COO & Co-Founder)

Progressed from Technology Compliance Manager to Head of Security and Compliance at Gilt Groupe within 4 years, and worked as Cyber Security Advisor for Billy.

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