Senior Software Engineer II

StitcherAds

New York (NY)

On-site

USD 185,000 - 200,000

Full time

14 days+

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Job summary

Kargo is modernizing the Workflow Platform. As a Senior Engineer, you design and build distributed services that are reliable, observable, and scalable, owning projects end-to-end and collaborating with product, data, and fellow engineers.

You will reduce latency, improve fault tolerance, and advance observability while mentoring teammates and sharing best practices. Proficiency in TypeScript or Go and experience with microservices and cloud/container tech are expected.

Qualifications

5–8 years of software engineering experience in distributed or high-scale backends.
Proficiency in TypeScript or Go, with strong preference for both.
Strong knowledge of distributed systems concepts: consistency, availability, fault tolerance, event-driven architecture, and service orchestration.
Experience building and maintaining production-grade microservices at scale; async messaging with Kafka or Pub/Sub is a plus.
Experience with CI/CD, containers (Docker, Kubernetes), and cloud infra (AWS, GCP, or Azure); debugging with monitoring and tracing.
Active use of AI coding tools (Cursor, Copilot) with productivity gains.
BS or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience; AdTech or real-time systems experience a plus.

Responsibilities

Design and build distributed services for the Workflow Platform modernization, considering failure modes, retry logic, and observability from the start.
Own significant projects end-to-end—from design through deployment and post-launch optimization—with minimal hand-holding.
Improve platform health through latency reductions, fault tolerance, and observability enhancements with measurable outcomes.
Use AI-assisted development tools fluently to ship faster, and share what’s working with teammates.
Raise the quality bar through code reviews and design discussions, contributing well-reasoned opinions.
Partner with Product, Data, and cross-functional stakeholders, translating fluently between technical and non-technical.
Mentor less experienced engineers through pairing, documentation, and patient, constructive guidance.

Skills

TypeScript

Golang

Distributed systems

Microservices

CI/CD

Docker / Kubernetes

Cloud (AWS/GCP/Azure)

AI coding tools

Education

BS in Computer Science / Engineering / Mathematics

Tools

Kafka

Pub/Sub

Cursor

Copilot

Job description

Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our dynamic teams work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a Creative Science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Kargo is growing rapidly and currently has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.

Who We Hire

Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.

The Opportunity

The Kargo Workflow Platform powers our entire AdTech engine, and we're modernizing it. As a Senior Engineer on the team, you'll design and build distributed services that are reliable, observable, and built to last — owning projects end-to-end and partnering across engineering, product, and data. We're looking for a self-starter who finds problems, frames them, and fixes them, and who makes the engineers around them better in the process.

The Daily To-Do

Design and build distributed services for the Workflow Platform modernization, thinking about failure modes, retry logic, and observability from the start
Own significant projects end-to-end — from design through deployment and post-launch optimization — with minimal hand-holding
Improve platform health through latency reductions, fault tolerance, and observability enhancements with measurable outcomes
Use AI-assisted development tools fluently to ship faster, and actively share what's working with teammates
Raise the quality bar through code reviews and design discussions, contributing well-reasoned opinions
Partner with Product, Data, and cross-functional stakeholders, translating fluently between technical and non-technical
Mentor less experienced engineers through pairing, documentation, and patient, constructive guidance

Qualifications

5–8 years of software engineering experience, with meaningful time in distributed or high-scale backend systems
Strong proficiency in at least one modern, high-performance language; TypeScript and/or Golang strongly preferred
Solid understanding of distributed systems concepts: consistency, availability, fault tolerance, event-driven architecture, and service orchestration
Experience building and maintaining microservices in production at meaningful scale; async messaging (Kafka, Pub/Sub) or workflow engines a strong plus
Comfortable with CI/CD pipelines, containerization (Docker, Kubernetes), cloud infrastructure (AWS, GCP, or Azure), and debugging production issues using monitoring and distributed tracing
Active user of AI coding tools (Cursor, Copilot, or equivalent) with real, demonstrated productivity gains
B.S. or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience; AdTech, programmatic, or real-time systems experience a plus

In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible for variable compensation — either the Kargo Sales Incentive Plan (sales roles) or an annual discretionary bonus (all other roles). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills.

U.S Salary Range

$185,000 — $200,000 USD

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