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:

• You will be responsible for the design, coding, documenting, and maintaining high-end computation platform development.
• You will own the architecture and design of some of the most advanced & complex software systems/products in the industry to create a company-wide impact
• You will be involved in continuously upgrading and building new technology skills and methodologies.
• You will be responsible for innovating, researching, proposing, and discussing the design with your peers.
• You must have the ability to take ownership of Modules delivery and lead a team.
• You will be a key member of the hiring panel across CIQ.
• You will be the gatekeeper of the tech decisions of the team and contribute heavily to the tech strategy, working closely with product and design teams.

• 5+ Years in developing in designing and developing complex and scalable software modules.
• The ideal candidate will be an experienced Java developer with exceptional software system design, problem-solving, and object-oriented coding skills.
• Good hands-on experience in data engineering - ETL pipelines, batch, and streaming data processing (Hadoop, Spark, Storm, Kafka, presto, etc), data analytics & reporting - prior experience with optimizing for storage space, compute time, etc
• Strong expertise in concurrency constructs and debugging memory leaks, expert-level skills in object-oriented, low-level class/interface designs.
• Hands-on experience with building high-performance, highly available, and scalable distributed systems, scaling and evolving them.
• Hands-on experience with one of the key cloud providers (AWS, GCP, Azure) for the creation and scaling of large-scale distributed systems (compute, messaging, notifications, caching, data stores, monitoring, CI/CD, etc).
• Exposure to multiple kinds of data storage and retrieval strategies - Relational, Non-relational, Document, Graph, Object, Time Series databases.
• BS or MS in Computer Science/Engineering, Mathematics, Statistics, or a similar degree will be considered