Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Do you want to build the large-scale data systems that help millions of AWS customers cut their cloud costs and run more efficiently? Join a team that turns massive streams of infrastructure and usage data into the intelligent recommendations customers rely on every day.
We are the Optimization Data team, the data backbone behind AWS Compute Optimizer and AWS's broader cost optimization products. Our job is to identify customer resources, collect the utilization metrics that describe how they run, and turn that raw telemetry into clean, reliable, well-labeled signals that our science and engine teams use to model cost-savings recommendations. Every day we ingest and process enormous volumes of metrics and billing data across EC2, Auto Scaling groups, EBS, Lambda, ECS, EKS, RDS/Aurora, DynamoDB, and networking resources — sourcing data from internal systems like CloudWatch, EBS Stats, Lambda Stats, and the Fargate control plane, as well as third-party products such as Datadog. If you enjoy working at the intersection of big data, distributed systems, and real customer impact, this is the place for you.
Deeply understand the AWS services we optimize — how compute, storage, database, and networking services emit utilization and configuration data — and use that domain knowledge to design a high-throughput, highly available ingestion layer that reliably captures metrics for millions of resources with tight freshness SLAs
Design, build, and scale data pipelines and services that collect, clean, aggregate, and label huge volumes of metrics with high reliability and low latency
Own systems end to end — from architecture and implementation to deployment, monitoring, and operations across many regions, including GovCloud and isolated partitions
Partner with data scientists and engineering teams to define the data they need and deliver it in clean, well-structured, intelligently partitioned data lakes that fuel modeling and recommendations
Solve hard problems around data security, scalability, and cost efficiency, favoring serverless and decoupled distributed architectures so components scale independently and operational burden stays low
Establish and meet ingestion and publishing SLAs, build in backfill and data-correction paths, and continuously raise the bar on data quality, operational excellence, and the customer experience
You'll join a collaborative group of engineers who care deeply about doing things the right way — secure by default, reliable at scale, and always focused on the value we deliver to customers. We invest in your growth, give you real ownership from day one, and celebrate the impact you make.
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
2+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
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 - 143,700.00 - 194,400.00 USD annually
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