Software Engineer II, Cloud Operations

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

We are seeking a Software Engineer with Data Scientist interests to enhance our internal cost management software ecosystem and apply machine learning techniques to analyze large datasets related to costs and customer usage. In this role, you will collaborate with internal engineering teams to deliver data-driven insights that inform both operational and strategic business decisions.

You will be joining a small, diverse, and close-knit team operating in a fast-paced, agile environment. As an engineer, you are encouraged to bring fresh, innovative ideas to the table while working alongside your peers to improve our tools and advance our AI/ML capabilities.

WHAT YOU'LL DO

• Collaborate with engineering leaders to understand their domain, facilitate usage forecasting, analyze service level trends, and ensure the efficient utilization of cloud resources by advocating FinOps best practices.

• Take a proactive approach in identifying opportunities for optimization by applying data science methodologies & business context to analyze logs, metrics, costs, and other data sources.

• Contribute to the creation and enhancement of internal tools, including scripts, backend systems, full-stack applications, and AI/ML solutions.

• Automate repetitive tasks and design innovative workflows to improve efficiency and productivity.

• Oversee complex processes involving collaboration with members from multiple teams across the organization.

• Engage with individuals across the technical spectrum, from junior engineers to senior leaders, and effectively communicate complex technical concepts.

WHO YOU ARE

Required skills

• Familiarity with FinOps and/or Site Reliability Engineering (SRE) concepts.

• Associates degree or relevant experience.

• Proven experience in analyzing large datasets and deriving actionable insights.

• Proficiency in SQL and general database management; experience with BigQuery is a plus.

• Strong skills in using spreadsheets for data analysis and reporting.

• Proficient in Python.

• Excellent communication skills, with the ability to convey complex ideas effectively.

• Working knowledge of Kubernetes and its infrastructure.

Preferred skills

• Experience with financial or unit-based forecasting.

• Proficiency in data modeling and scenario analysis.

• Hands-on experience with data visualization tools, such as Tableau or Looker.

• Understanding of public cloud platforms, preferably Google Cloud Platform (GCP), but experience with AWS is also valued.

• Terraform Experience.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 2 days per week, with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.