Forward Deployed Engineer

About the Role

Alvys is building the operating system for modern freight with a multi-tenant SaaS platform that streamlines day-to-day transportation operations. As a Forward Deployed Engineer, you will be the bridge between our customers and our engineering organization: owning product quality end-to-end, investigating customer issues with deep technical skill, and building the automation infrastructure that ensures reliability at scale.

This role is designed for engineers who want to sit at the intersection of quality engineering, customer proximity, and operational ownership, and who are excited to build with AI as a first-class part of the workflow.

We are moving quickly toward an AI-first operating model across the company. On the engineering side, we have shifted from a traditional model with many handoffs to a product engineering model where engineers are accountable for outcomes and leverage AI to accelerate delivery. Forward Deployed Engineers play a critical role in this model: you are the first line of defense for product quality and the voice of the customer inside engineering.

What makes this role different

This is not a junior product engineering role. Forward Deployed Engineers operate where product meets reality.

• You do not sit behind tickets or wait for someone else to triage defects.
• You investigate real customer behaviors in production and close the loop fast: investigate → fix → validate → automate.
• You implement small but high-leverage improvements (edge cases, validations, workflow gaps, integration mismatches) that protect daily operations.
• You build the automation and observability that prevents issues from recurring.

AI is a core part of how we build

We are building Alvys with AI as a first-class part of the workflow. As a Forward Deployed Engineer, you will use AI to move faster while keeping quality high, and you will still be accountable for outcomes.

You will be expected to be fluent in modern AI tooling and patterns, including:

• Using AI tools to accelerate test automation, issue investigation, and root cause analysis.
• Reviewing and hardening AI-generated test code with strong quality engineering judgment.
• Iterating quickly with customer feedback and production signal.
• Contributing to evolving team practices as the AI toolchain changes.

Industry Insight

Transportation logistics is massive, fragmented, and still underserved by modern software. The work is complex, the stakes are high, and the opportunity is huge: improving how freight moves impacts costs, service levels, and reliability across the economy.

Alvys is positioned at the center of this shift. We are a modern, cloud-native Transportation Management System (TMS) serving carriers and brokers, with growing adoption among larger fleets. As customers move upmarket, the required workflow sophistication increases dramatically—planning, execution, tracking, compliance, billing, and settlement all need to work together reliably.

For Forward Deployed Engineers, this means the quality bar is exceptionally high. Customers depend on Alvys for daily operations, and defects have real business impact. Your work directly protects customer trust and product reliability.

About Alvys

Alvys is on a mission to revolutionize transportation logistics. We are evolving from a delivery organization into a product engineering organization—one that blends technical excellence with deep product context and financial accountability.

We measure success by impact, not output. We balance innovation with sustainability—every feature we build comes with a maintenance cost we own. We think like operators, not just builders—reliability and performance are features, not afterthoughts.

Engineering Principles:

1. Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones.
2. Extreme Ownership and Empowerment — If it’s in production, it’s yours—quality, uptime, and results.
3. Technology Debt is Strategic, Not Accidental — We incur debt deliberately, and pay it down deliberately.
4. Simplicity Scales; Complexity Costs — We reduce complexity to lower cognitive load and speed up delivery.
5. Radical Transparency — We share context and data to drive alignment and decision-making.

Engineering Culture:

• Move Fast, Learn Fast — Speed is an advantage when paired with good judgment.
• Own the Outcome — We own outcomes end-to-end, not tickets.
• Engineering-Led, Customer-Driven — We lead with technical strategy, grounded in customer reality.
• Pragmatism Over Purism — Maintainability and business impact beat theoretical perfection.
• People Over Heroics — Sustainability matters; we don’t reward burnout.

Tech Stack

• Backend: .NET/C#, CosmosDB, Postgres, Elastic Search, Azure services
• Frontend: TypeScript, React, Angular
• Infrastructure & Ops: Azure, Azure Monitor, Application Insights, CI/CD through DevOps / GitHub Actions
• Testing & Quality: Playwright, automated test frameworks, performance/load testing tools, synthetic monitoring
• Integrations: Multiple third-party APIs and workflow systems

Responsibilities

• Production behavior ownership: Monitor real-world usage patterns and production signal. Investigate unexpected behaviors, workflow gaps, and small feature misalignments.
• Customer-embedded engineering: Partner with Support and Customer Success to understand impact, translate customer pain into actionable engineering work, and close feedback loops quickly.
• Small feature & UX fixes: Implement targeted fixes and workflow hardening (edge cases, validations, inconsistent states, minor UI behaviors, integration mismatches) that remove daily customer friction.
• Quality ownership (outcome-driven): Own quality for your product area end-to-end—from test strategy and automation design through release validation and production monitoring.
• Automation & infrastructure: Design, implement, and maintain automated test suites, quality infrastructure, and CI/CD quality gates that prevent defects at scale.
• Observability & operational rigor: Improve dashboards, alerts, and incident response workflows. Ensure every incident leads to prevention via automation and guardrails.
• Cross-functional collaboration: Partner closely with Product Engineering, Product, Design, Customer Success, and Support to ensure quality is built in, not tested in.
• Process improvement: Enforce and improve quality processes—release readiness, quality gates, incident response workflows, and post-incident reviews.
• Mentorship: As you grow, mentor other FDEs through code reviews, pairing, and setting high standards for automation and quality thinking.

Success in this role looks like

• Customer-reported issues decrease in your product area.
• Regressions are caught before customers see them.
• Automation coverage increases around fragile workflows.
• Support escalations and incident recurrence drop over time.

You are measured by reliability and customer trust, not by ticket count.

Minimum Qualifications

• 3+ years of professional experience in software quality engineering, test automation, or a similar technical role with ownership of quality outcomes.
• Strong proficiency in at least one modern programming language (C#, TypeScript, Python, Java, etc.).
• Experience designing and implementing automated test suites (unit, integration, and/or end-to-end) using frameworks such as Playwright.
• Experience investigating and debugging production issues, including reading logs, tracing workflows, and reproducing customer-reported defects.
• Familiarity with CI/CD pipelines and how quality gates integrate into the release process.
• Strong collaboration and communication skills. You can clearly communicate quality status, risk, and findings to engineering and non-engineering stakeholders.

Note: We care more about demonstrated ability to ship quality outcomes and advocate for customers than a specific degree or background.

Preferred Qualifications

• AI-first quality engineering experience: You have actively used AI to accelerate test generation, issue investigation, or automation development, and you have refined your workflow over time.
• Customer-facing technical experience: You have worked directly with customers or support teams to investigate and resolve production issues, and you understand how to translate customer pain into engineering action.
• Experience building and operating quality infrastructure at scale (Playwright-based E2E automation, performance testing, synthetic monitoring, chaos engineering).
• Experience with observability and operational rigor (dashboards, alerting, incident response, post-incident reviews).
• Experience with React/TypeScript or Angular for front-end test automation.
• Experience mentoring engineers and raising quality culture across a team.
• Experience in logistics or transportation software is a plus.

Equal Employment Opportunity

Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

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