Position: Senior Backend Engineer (Marketplace)
Company: Indeedflex
Experience required: 3y
English level: fluent

**Description**

We are Indeed Flex. We Help People Get Jobs. Right now, we’re hiring!

The current staffing model is broken, with low wages and limited opportunities. As flexible work continues to grow, we’re taking a radically different approach: providing job seekers with control, ownership and choice, so employees can find the working patterns and scenarios to suit their lifestyles. In doing so, we aim to revolutionize the industry.

After demonstrating our approach throughout the UK under the Syft brand, we were acquired by Indeed.com in 2019 and we rebranded to Indeed Flex in 2020. With continued independence and phenomenal levels of support we’ve been able to accelerate our mission as we expand throughout the US as well as the UK. Fast growth creates tremendous opportunities - come and join a team of inquisitive, passionate, and driven individuals helping each other grow and building something meaningful!

**About the team**

The Matching team aims to enable Indeed Flex to balance Client and Workers' needs. We are building tools for decision-making and automated solutions to support the company goals. The team is responsible for designing and implementing intelligent, automated solutions, leveraging a wide range of algorithms to improve the quality of our matching and ranking logic: classifications, predictions, causal inferences, clustering, but also descriptive statistics, and simple heuristics with great visualizations.

**Requirements**
- Work with Machine Learning engineers to design, deliver, monitor and improve models in production to help employers and workers achieve their goals
- Work with engineering leadership and other Senior / Staff Engineers to evaluate technologies, infrastructure and architecture, driving improvements in all three
- Design and implementation of components to automate the different operations on our Marketplace
- Work with other Product/Engineering teams to integrate these components into their ecosystem

**Experience & Skills Required**
- Experience in dealing with various data sources to fetch the data you need (currently: S3, Postgres, Redshift, Parquet files…)
- Deep knowledge of Python
- Experience designing efficient data storage strategies to support complex workloads
- Deep understanding of best practices to design APIs and event-driven architectures
- Experience deploying and running Python components in AWS

**Nice to have**
- Experience building automated deployment pipelines in AWS
- Experience implementing data pipelines
- You know some of the critical aspects of delivering and running data-science components end-to-end: reliability, quality of service, storage management, short-term and long-term prioritization, roadmap consolidation...
- Experience in implementing Information Retrieval systems (search engines, recommender systems…), measuring their performances, and you understand how their behaviours are tied to business goals.

**Benefits**
- Competitive salary + pension
- Unique bonus structure for every employee - based on performance
- Private Medical Healthcare