City Of Westminster, London
Amazon TA
EU OPS Integration DEA team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost.
EU OPS Integration DEA team is looking for a Senior Software Development Engineer who joins us in our quest to give our customers the best fulfillment experience in the world. It is our mission to delight our customers by providing capabilities, tools and mechanisms to fulfillment operations. As OPS DEA Senior SDE, you will be providing resources and expertise for our analysis (statistical approach) as well as Machine Learning products and tool development including their frontend. On top of your internal customers, you will leverage your experience and skills on projects requiring partnership across the org, with a wide range of departments within the company, mainly Amazon Transportation Services (ATS-Sortcenter, -Linehaul), Amazon Logistics and Global transportation services. You will be in close collaboration and interactions with Operations, thus you will need to gain in-depth understanding of product flow and process, all along the distribution chain. The EU OPS DEA team is recognized for their expertise and excellence in creating solutions which improve massively the customer experience. Several of the team’s developments for EU, are rolled out in other regions with some of them becoming worldwide standard. You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management.
As an experienced developer, you will be part of a team that regularly delivers well-tested and reviewed releases and responds quickly to customers’ needs. The successful candidate will be able to work with minimal instruction and oversight, manage multiple tasks and support projects simultaneously. Maintaining your relationships with the customers in operations and within the team, while owning deliverables end-to-end is expected. Critical to the success of this role is your ability to work with big data, contribute to the building of solutions both in terms of back- & frontend, develop insightful analysis, communicate findings in a clear and compelling way and work effectively as part of the team, raising the bar and insisting on high standard.
Key job responsibilities
• Design, develop and maintain scalable, automated, user-friendly solutions, enabling stakeholders to manage their business and make effective decisions.
• Work with program managers and partner with Operations, Finance, Technology, Change Management and Customer Experience teams in understanding the business requirements and implementing solutions to support analytics and reports.
• Conduct ad hoc data analysis and data quality investigations.
• Implement training and documentation solutions that enables stakeholders to get the most out of our tools.
• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS – Demonstrated Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights
– Experience with AWS technologies (e.g. Lambda, SQS, Kinesis, EKS)
– Coding experience in frontend development (React, Typescript, JavaScript)
– Coding experience in any backend programming language (Python, Go, Java) and infrastructure as code
– Ability to self-direct, multitask, and prioritize a constantly evolving workload.
– Proven ability to meet tight deadlines, multi-task, and prioritize workload.
– Experience working directly with business stakeholders to translate between data and business needs
PREFERRED QUALIFICATIONS – Master’s degree in Computer Science, BI, Finance, Engineering, Statistics, Mathematics or related field required.
– Proficient experience in the development and operations of container-based web applications
– Experience in designing and delivering cross functional custom solutions.
– Proficient on building machine learning models for business application experience
– Applied knowledge of agile software development methodologies and architectural patterns
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