Why This Job is Featured on The SaaS Jobs
This role stands out in SaaS because it sits close to the operational backbone of a high-volume data platform. Building the next iteration of a scheduling system for a product that processes millions of pages daily is a classic scale problem in SaaS, where reliability and throughput directly influence how well the platform can serve a growing set of customers and internal teams.
From a career perspective, it offers durable experience in designing systems that coordinate large numbers of jobs safely and efficiently, a recurring challenge across analytics, monitoring, data ingestion, and automation products. The combination of hands-on engineering and technical leadership also maps well to SaaS organisations where senior engineers are expected to shape architecture, align stakeholders, and improve delivery practices alongside writing code.
The strongest fit is for an engineer who enjoys owning a system end to end, from product-facing requirements through to operational health, and who is comfortable guiding other engineers without stepping away from implementation. It will particularly suit someone drawn to platform-style work, pragmatic trade-offs, and the day-to-day discipline of keeping critical services dependable at scale.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Role:
The e.fundamentals Digital Shelf Analytics platform gathers almost 4 million web pages per day from around 500 retailers worldwide. Gathering data on such a massive scale demands specialised tools for scheduling and reviewing thousands of individual tasks.
The Scheduling team is responsible for devising, building and supporting these tools. The team creates applications and services that enable our internal users to manage tasks safely and efficiently at scale. We’re looking for an experienced senior Software Engineer to lead the team as we develop a brand new iteration of our scheduling system to meet the demands of our rapidly growing customer-base.
What You'll Do:
- Lead a team of talented engineers, empowering them to deliver a flexible and highly-scalable scheduling system
- Take responsibility for the health and success of the team; maintain and foster a positive and collaborative culture
- Balance hands-on development alongside team leadership responsibilities
- Participate in critical technical and strategic discussions with stakeholders across the product engineering organisation. Help define and maintain a vision and roadmap for the team
- Be responsible for all aspects of the team’s delivery and development cycle; leading and championing agile processes, and driving continuous improvement
- Collaborate with senior engineers to define a target architecture for the system and identify a route towards its delivery
- Champion the work of the team; ensure its successes are celebrated
- Be an advocate for the individuals within the team. Guide them in their personal development, and help them to grow and maximise their opportunities within CommerceIQ
- Participate in engineering and architecture forums to help build a culture of excellence within the engineering organisation
What You'll Bring:
- Extensive experience of using JavaScript, React and Node to build rich applications and supporting back-end APIs
- A track record of building full-stack products at scale
- A background leading other engineers
- Significant experience working with Linux/Unix
- A strong understanding of web technologies: HTML, DOM, HTTP, and CSS
- A strong understanding of modern coding practices and standards
- Great interpersonal and communications skills
- A passion for delivering quality software
Nice to Haves:
- Experience with TypeScript
- Experience of building services in the cloud, especially with Google Cloud Platform
- Experience of containerisation using Docker and Kubernetes
- Experience of building infrastructure as code, especially with Terraform
- Knowledge of web-scraping and its challenges
- Data analysis and SQL skills
