Meteorologist, WWOS Resilience
Amazon is hiring a Meteorologist, WWOS Resilience in London, United Kingdom. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Radar, Satellite Imagery and Osint.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Produce tactical meteorological forecasts and weather briefings to protect global logistics operations and assets.
Amazon is looking for a Meteorologist (London based) in support of our Global Risk and Resilience team.
The Meteorologist, a member of the WWOS Meteorology team, will be an individual contributor (IC) responsible for (1) producing tactical meteorological forecast products in support of logistics operations across the EU and Rest of the World (RoTW) regions; (2) providing weather briefing support to operations stakeholders during large-scale disruptive weather events; and (3) end-to-end management of complex weather-related projects that strategically impact Amazon's Life and Safety, Operations, and Brand.
In this role, you will proactively identify, analyse, and inform relevant weather and climate trends and translate customer requirements into scalable, actionable solutions. You will leverage OSINT, climate radar and satellite imagery, and tradecraft to identify emerging threats, and produce written and oral briefs that help customers anticipate risks and look around the corner.
The ideal candidate thrives in a fast-paced, dynamic environment that demands critical thinking, deep-dive analysis, and the ability to manage competing priorities with exceptional attention to detail. They bring a genuine passion for delighting customers, collaborating across teams, and continuously raising the bar, always seeking opportunities to refine processes, close gaps, and deliver more impactful products.
The successful candidate must have a proven record of effective leadership capabilities and demonstrate good judgment while under pressure. The candidate will also be expected to operate autonomously, use discretion when dealing with sensitive and critical information, and apply sound business principles and data analysis to identify problems and initiate actions to address them.
This position will occasionally require working outside of normal business hours.
Key job responsibilities
• Conduct comprehensive meteorological risk analysis using advanced forecasting techniques and meteorological data systems to identify potential impacts to Amazon's operations across EU and RoTW regions
• Collect, analyze, and interpret climate data, radar, and satellite imagery using statistical methods and impact models
• Proactively identify and analyze relevant threats and trends and produce written and oral briefs, in a cohesive and concise format, to serve customers across business lines
• Monitor, forecast, and effectively communicate weather, water, and climate hazards globally, providing real-time analysis and recommendations during dynamic weather-related incidents
• Provide meteorological subject matter expertise to leaders and operations stakeholders at all levels during large-scale weather events, including support to Business Continuity Management (BCM), crisis, and security management teams
• Incorporate government-issued weather and environmental alerts and warnings into tailored weather forecast products
• Analyse weather-related trends and patterns to identify long-term risks and opportunities for improved operations resilience
• Contribute to complex weather, climate, and environmental risk assessments that consider operational vulnerabilities, historical impact data, and seasonal weather patterns across diverse geographic regions
• Engage with internal customers to understand their priorities and requirements, and collaborate with global stakeholders to establish clear operational risk thresholds and escalation paths that protect people, operations, assets, and brand
• Contribute to the development and implementation of crisis management protocols and response procedures across multiple organizational levels
• Design and implement automated solutions to streamline threat monitoring, risk assessment, and notification processes
• Develop and/or maintain advanced weather monitoring systems and information dashboards to track potential threats to Amazon facilities and operations
• Train and advise teams across the organization on weather-related risk identification, preparation, and crisis management
A day in the life
A typical day starts with reviewing overnight Kepler forecasts and any government weather alerts that have come in across EU markets. If Umbrella's automated run has fired overnight, we confirm protections deployed correctly and check for silent failures or coverage gaps. On a quiet day, the focus shifts to protection efficiency analysis, SOP development, or progressing the quarterly rules review cycle. On a live day, it moves fast. WWOS Met delivers an activation recommendation, we stand up the SEM within 60 minutes, populate the tracker, pull lanes via PRECOG, schedule the call, and start coordinating across EUCX, NetOps, and site ops. Throughout the day there are ad-hoc protection requests from stakeholders, weather reporting to distribute, and the constant balancing act of protecting DEA without over-constraining speed. Tuesdays are WBR day, which means the pack needs to land by Monday EOD with the week's protection performance, attribution data, and any callouts. No two days look the same, but the thread that runs through all of it is the same question: are we protecting the right customers, in the right places, at the right time, without slowing down the network more than we need to.
About the team
WWOS Resilience (formerly BCM) is the operational continuity function within Worldwide Operations Security. For weather, the team owns the end-to-end governance of severe weather response across the EU network, from meteorological intelligence through to customer-facing delivery protection. This includes the Severe Event Management (SEM) lifecycle for weather-driven disruptions, automated and manual protection deployment through the Umbrella platform (UDD/promise pads, transit time pads, and capacity constraints), quarterly protection rules governance, proactive weather communications to CX and operational stakeholders, and site closure processes for life-threatening weather events. The team works in partnership with WWOS Met (who provide meteorological expertise and forecasting) and coordinates directly with EUCX, ATS CX, 3PCC Quality, AMZL, NetOps Control Tower, and ECFT/NFM to ensure weather-related delivery risk is identified early, protections are deployed proportionately, and customer delivery promises are maintained. The operating principle is simple: protect the customer without over-constraining the network.
Basic qualifications
- Knowledge of Microsoft Office products and applications at an advanced level
- Experience in compliance, audit or risk management
- Bachelor's degree or equivalent
- Experience with monitoring natural hazards, guiding critical incident response, and supporting supply chain decisions
- Degree in meteorology, atmospheric science, or a related field
- Experience with radar, forecasting software, and spatial data tools like Geographic Information Systems (GIS)
Preferred qualifications
- Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent
- Master's degree or equivalent
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Meteorologist, WWOS Resilience at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where meteorology was part of your work. What did you do?
- Tell me about a project where risk analysis was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Walk me through how you've used Radar in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Meteorology, Risk Analysis, Forecasting, Data Analysis, and Radar. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new AI jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Other roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step