Staff Engineer (Platform)

Later•Vancouver, BC

2d•$175,000 - $250,000•Hybrid

About The Position

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com. We are seeking a Staff Engineer with a strong background in modern web development technologies and a passion for building high-quality, distributed applications within our Platform’s Shared Services group. The ideal candidate is a problem solver who thrives in a fast-paced environment, takes ownership of their work, and collaborates well with peers, including coaching junior team members.

Requirements

7+ years of professional experience in software development, with a strong background in distributed systems, platform engineering, and driving architectural decisions.
Proficiency with typed, functional programming in Haskell, Scala, C#, or TypeScript.
Strong experience with SQL and NoSQL databases, with PostgreSQL expertise preferred.
Expertise in system architecture, designing secure, scalable, and maintainable platforms.
Broad experience with Docker, Kubernetes, and AWS (or equivalent cloud).
Strong knowledge of DevOps practices (Git, CI/CD, Infrastructure as Code).
Expertise in application and infrastructure security best practices.
Strong understanding of testing and automation practices.
Experience in performance optimization for reliability and scalability.
Proficiency in third-party API integration and management.
Experience (or strong interest) in AI/ML applications in production systems.
Demonstrated mentorship ability, helping elevate the technical impact of the team.
Proven experience working in ambiguous, complex problem spaces with strong problem-solving skills.

Nice To Haves

A strong appetite for learning and personal growth.

Responsibilities

Design scalable, maintainable, and secure service architectures.
Identify opportunities for platform-wide improvements, new service development, and reduction of technical debt.
Contribute to long-term platform vision and help shape standards for engineering excellence.
Build backend services using C# in a Functional Programming paradigm or TypeScript for web and background worker applications.
Work with both SQL and NoSQL databases; PostgreSQL expertise preferred.
Design, containerize, and deploy services with Docker and Kubernetes.
Build and optimize cloud infrastructure using AWS or similar platforms.
Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code.
Apply security best practices across applications and infrastructure (secure coding, vulnerability assessments, secrets management).
Ensure reliability and scalability through test automation, performance profiling, and optimization.
Integrate and manage third-party APIs with robust monitoring and management practices.
Explore and implement AI/ML-driven features or integrations into applications.
Act as a technical mentor, multiplying team impact by elevating skills and practices of peers and junior engineers.
Collaborate with Product Managers, other Staff Engineers, and cross-functional teams to define requirements, scope projects, and deliver platform solutions.
Work closely with stakeholders to debug, troubleshoot, and resolve complex backend issues across the stack.
Contribute to engineering culture by modeling ownership, accountability, and a growth mindset.
Stay current on emerging technologies in distributed systems, cloud infrastructure, and secure software practices.
Share learnings and elevate engineering standards across teams.
Continuously improve system performance, scalability, and developer experience.
Identify and advocate for adoption of new technologies that create leverage for the business.