Software Development Manager, AWS Billing Data, Billing Data Services
Amazon is hiring a Software Development Manager, AWS Billing Data, Billing Data Services in Seattle, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions data engineering, leadership and distributed systems among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead a software engineering team owning foundational systems that ingest, store, and serve critical AWS billing data.
Our services sit upstream of bill computation systems. We ingest billing data from across AWS (such as pricing, subscriptions, entitlements) persist them as a single source of truth, and serve them to the teams and pipelines where that data that is joined with usage to synthesize customer-facing billing artifacts. We operate at the scale of all of AWS, where correctness is non-negotiable and a single bad record can ripple into thousands of customer bills.
Key job responsibilities
* Lead and mentor a team of software engineers: Foster a collaborative and high-performing team environment, providing guidance and support to your engineers to help them achieve their full potential.
* Define the technical vision and roadmap: Work closely with product managers and other stakeholders to define the technical roadmap for your area of responsibility, ensuring alignment with overall business goals.
* Own the software development lifecycle: Oversee the entire software development lifecycle, from requirement gathering and design to development, testing, and deployment.
* Champion best practices and innovation: Drive the adoption of best practices and emerging technologies within your team, promoting continuous improvement and innovation.
* Collaborate with cross-functional teams: Work effectively with product managers and software engineers on other Commerce Platform teams to ensure successful delivery of features.
* Communicate effectively: Clearly communicate technical decisions and progress to both technical and non-technical audiences.
A day in the life
- You might start the morning reviewing ingestion and data quality dashboards before joining a design review for a new storage or serving path
- By midday, you're working with a downstream team on a schema or data contract change, making sure the migration is backward compatible and won't disrupt their pipelines
- In the afternoon, you're with your engineers on an approach to cut serving latency or raise ingestion throughput, then aligning with a partner team on an upstream event format change
- You balance long-term platform investments with the immediate needs of the teams that depend on your data
About the team
- We own the systems that hold and serve the authoritative billing facts for AWS Commerce Platform services
- We sit upstream of the bill computation systems, so our data quality and freshness affect SLAs for systems downstream
- We're a team that treats correctness and operational rigor as first principles, but moves quickly when downstream teams and customers need us
- We solve problems at the intersection of large-scale data systems, durable storage, and the trust customers place in their bill
- This is a space where being right matters more than anything, and where the data we own touches every Billing team
Basic qualifications
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Preferred qualifications
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, AWS Billing Data, Billing Data Services at Amazon rates 10 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.
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