Staff FinOps Engineer (Remote - Canada) at Confluent

Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, Data StreamingIndustries

Requirements

8+ years of experience in a Technical Program Management, Cloud Operations, or dedicated FinOps role
Deep expertise in AWS, Azure, and/or GCP cost management tools (e.g., Cost Explorer, Azure Cost Management, GCP Billing) and pricing models
Strong proficiency in SQL and experience with data visualization tools (Tableau, Power BI, Looker, etc.) to analyze large, complex datasets
A proven track record in stakeholder management, with the ability to lead effective virtual meetings and hold senior leaders accountable

Responsibilities

Own and operate the end-to-end FinOps program, defining the roadmap, goals, and metrics for success
Partner with senior executives and engineering leaders in Weekly Operational Reviews to translate complex cost data into strategic business insights and actionable plans
Effectively communicate program goals, progress, and risks to diverse stakeholders, from finance analysts to principal engineers
Build strong cross-departmental relationships to champion cost optimization efforts and facilitate collaboration between teams
Engage with cloud provider representatives (e.g., Technical Account Managers) to leverage their expertise, share best practices internally, and advocate for our needs
Own the systems to manage the cloud spend forecast, soliciting input from engineering teams and communicating expected spend to Finance for budgeting purposes
Develop and implement cloud governance best practices, including robust resource tagging strategies, cost allocation models, and showback/chargeback processes
Own our cloud savings targets, managing the portfolio of Reserved Instances, Savings Plans, and Committed Use Discounts to maximize ROI
Dive deep into our cost and usage data using advanced SQL and data analysis to identify and prioritize savings opportunities
Develop and maintain insightful dashboards and custom reports that empower engineers to manage their own cloud spend effectively
Analyze our architecture and infrastructure to provide expert recommendations for rightsizing, storage tiering, and architectural improvements
Solicit and evaluate cost-saving ideas from across the organization, estimating their potential impact and building a prioritized backlog of initiatives
Lead a federated community of Cost Ambassadors, chairing regular meetings to drive tactical savings efforts
Train and educate engineers on FinOps principles, tooling, and best practices for reviewing and tracking their cloud spending
Champion a culture of cost-consciousness where every engineer feels accountable for the financial impact of their code

Skills

FinOps

AWS

Azure

GCP

Cloud Cost Optimization

Program Management

Stakeholder Communication

Cost Metrics

Multi-Cloud

Confluent

Data streaming solutions for real-time processing

About Confluent

Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.

Mountain View, CaliforniaHeadquarters

2014Year Founded

$443.5MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Best Teammates on Planet Earth - Loving your job has a lot to do with the people around you. Luckily at Confluent, you will find some of the most genuine people who make you excited to come to work each day.

Adjustable Working Arrangements - While most of our employees work typical business hours, we encourage everyone to partner with their manager to make a schedule that works best for them and Confluent.

Robust Benefits - Health and wellness is important and Confluent is proud to offer a total benefits program that ranks in the top percentile of companies similar in size to our industry in our established geographies.

Rest and Recharge Days - Personal time off is great but it is even better when your whole team has the day. Each quarter, teams have three recharge days where the entire team logs off and refreshes before coming back to work.

Weekly Lunch Spend - At Confluent, we have a weekly lunch program called “No Pay Thursday.” On Thursdays, lunch is provided by Confluent at local restaurants and grocery stores, taxes may apply for some countries.

Flexible Paid Time Off (PTO) - Confluent employees work really hard to meet the needs of our growing and scaling business. To make sure that we don’t burn out, we encourage everyone to balance their PTO in an adequate way.

Risks

CTO Chad Verbowski's retirement may lead to a temporary leadership vacuum.

WarpStream acquisition may present integration challenges, disrupting operations.

Participation in MongoDB AI Program exposes Confluent to competitive pressures.

Differentiation

Confluent's platform is based on Apache Kafka, a leading open-source data streaming technology.

The company offers a subscription-based model, ensuring steady recurring revenue streams.

Confluent's solutions cater to diverse industries, enhancing real-time data processing capabilities.

Upsides

Increased adoption of Apache Flink complements Confluent's existing Apache Kafka-based solutions.

Integration with MongoDB's AI Applications Program enhances AI-driven data processing capabilities.

The OEM Program launch can drive new partnerships and expand market presence.

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