VMware Staff Engineer (CloudHealth Data Group) - Opportunity for Working Remotely in Boston, Massachusetts
What is primary need, technical challenge, and/or problem you will be responsible for? Our data platform teams are responsible for the architecture, design, implementation and operation of features and functions that process and analyze the entirety of our customer’s cloud data.The CloudHealth service platform manages data from multiple cloud providers in support of our 18,000+ customers. Our data platform teams are developing the capabilities that have allowed us to support the world’s largest cloud consumers and reach over $12 billion cloud spend under management annually.This team is leveraging the latest technologies to build the features our customers use to understand the different facets of their cloud costs, operations, security, and governance. If you thrive in a fast-paced environment that moves at the speed of the cloud, and love solving problems at scale in a rapidly expanding 24/7 SaaS environment, this team is for you! Success in the Role: What are the performance goals over the first 6-12 months you will work toward completing? You will be expected to work towards a deep understanding of your team’s Spark and Hadoop based systems and services, as well as neighboring systems.You will be expected to produce software designs that deliver the CloudHealth DataPlatform roadmap and vision. You will develop APIs and functionality that will drive our data pipeline and allow our customers to have visibility into their cloud infrastructure (SaaS, IaaS, and PaaS). You will also deliver automated tests to ensure high quality releases.You will be responsible for designing and delivering the supporting infrastructure functions to deliver your solutions at cloud-scale, including features such as usage tracking, throttling, monitoring and alerting.You will be regularly evaluated on the quality of the product you create and the code you write to ensure continued advancement of your technical skills in an environment that looks to expand them. Why we're excited about you: You have an analytical mind and a passion for the craft of software engineering. Technologies come and go, but that excites you because of the endless possibilities it creates. You want to successfully drive definition, architecture, and timely delivery of software in an Agile environment. You’re excited by Data Analysis, Systems Management, Cloud Computing, and the customer experience in everything you construct. You’re looking for a collaborative environment whose teams care about the product they are creating, how they create it, and the impact it has on customers’ business objectives. You Will:
Collaborate with your Tech. Lead, Product Management, Architects, and teammates to design, develop, and publish Big Data software solutions to a highly available, fault-tolerant SaaS platform.
Produce software designs to support long-term maintainability and extensibility of code.
Provide technical leadership on large complex technical projects.
Mentor less senior members of the team.
Produce high quality and well-documented code in an automated CI/CD environment.
Participate in all phases of the software development cycle as part of a Scrum team.
Work in multi-functional agile teams to regularly experiment, iterate, and deliver on new product objectives with end-to-end responsibility for your team’s goals.
Obsess over quality in the code you write and the product you create.
Advance your technical and interpersonal skills in an environment that looks to expand them.
10+ years of commercial software development experience.
2+ years of production work developing Big Data or Data processing systems.
Experience writing technical design documents
Knowledge about microservices hosted in leading cloud environments (AWS, Azure or GCP, preferred).
Backend development experience (Scala, Java, Ruby).
Familiarity with cloud security and best practices.
Experience with API-first REST-based microservice development.
Experience with cloud-based distributed application scaling and data processing.
Experience with big data technologies (Spark ,Hadoop, AWS EMR, Presto, Athena)
Have worked with data stores (MySQL/Postgres).
Experience with containerized applications (Docker, Kubernetes or similar, preferred).
Worked in a multi-threaded programming environment.
An understanding of team and individual goals and are motivated to accomplish them.
Strong communication and problem-solving skills.
A desire to work in an environment where you will teach and lean.
An understanding of why comparative analysis is key to continuous improvement, innovation, quality, and success.
Category : Engineering and Technology
Subcategory: Software Engineering
Experience: Business Leadership
Full Time/ Part Time: Full Time
Posted Date: 2021-10-08
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