Offer summary

Qualifications:

Proven experience with AWS platforms and cloud cost management tools., Strong software engineering background, particularly in Python., Excellent analytical skills for processing complex datasets., Strong communication and collaboration skills across teams..

Key responsabilities:

Design and implement solutions for collecting and analyzing cloud cost data.

Develop cloud cost management tools and dashboards for financial reporting.

Collaborate with teams to ensure transparent chargeback models for cloud costs.

Monitor service usage and spending to identify trends and cost-saving opportunities.

Job description

About Egen:

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

Meet Egen

Life at Egen

Culture and Values at Egen

Career Development at Egen

Benefits at Egen

About the opportunity:

We are seeking a highly skilled and motivated Cloud Cost (FinOps) Engineer to join our team, which develops cloud-based high performance computing (HPC) platforms supporting life sciences research and development.

As a Cloud Cost (FinOps) Engineer, you will:

● Design and implement solutions, and develop tools and systems to collect, process, and

visualize cloud cost data.

● Collaborate with FinOps analysts to manage and optimize cloud expenditures across our

scientific workflows and platforms.

Your contributions will enable effective monitoring of our computing platforms, enabling key

decision-making and financial accountability. You will collaborate closely with platform

engineers and computational scientists and researchers to ensure that the right metrics are

captured, and that key stakeholders have the information required to budget, plan, and monitor

computational projects with a high level of cost predictability.

Fully remote and offshore candidates are welcome however this role requires working during US

west coast standard working hours (9-5pm in PST/PDT or other continental US timezones).

Key Responsibilities:

Design and implement the collection and analysis of operational and financial data from AWS cloud services.

Design and implement robust cloud cost management tools and near real-time dashboards using platforms such as Grafana and Kibana, which will include regular reporting of financial summary information to stakeholders.

Develop automated solutions and scripts to enhance the efficiency of cloud cost monitoring and reporting systems.

Collaborate with project teams and departments to ensure transparent chargeback and showback models for cloud costs.

Collaborate with FinOps analysts to continuously monitor service usage and spending to identify trends, cost-saving opportunities, enable rapid response to unexpected cost events, and provide forecasts.

Work with platform teams to implement cost-saving opportunities, such as increased use of EC2 Reserved Instances, EC2 Spot Instances, or alternative silicon opportunities.

Required Skills:

Proven experience in AWS platforms, with a deep understanding of relevant features including defining and managing tagging strategies.

Prior expertise with cloud cost management tools and data sources related to cloud usage, such as AWS Cost Explorer, AWS Storage Lens, and IBM Cloudability.

Strong software engineering background with proficiency in a high-level programming language such as Python.

Experience creating and managing dashboards using reporting platforms such as Grafana and Elastic Stack/ELK.

Experience in automation and integrating various data sources and systems, using common patterns such as ETL/ELT.

Excellent analytical skills with the ability to process complex datasets and translate them into actionable insights.

Strong communication and collaboration skills, capable of working effectively across different teams.

Preferred Qualifications:

Experience: 5+ years working in engineering, solution architecture, or DevOps, with a track record of successfully delivering complex projects.

Team Player: Ability to work effectively in a collaborative team environment, as well as independently when required.

Preferred Skills (Nice to have):

Basic understanding of Unix concepts and Linux environments.

Basic understanding of high performance computing (HPC) concepts and environments.

Compensation:

Compensation will be commensurate with experience and skills and Egen’s operational considerations. We offer a competitive salary and benefits package, including health insurance, retirement plans, and professional development opportunities.

We believe in nurturing a culture of employee respect and well-being.

Check out our benefits here - >https://egen.ai/people/#benefits

EEO and Accommodations:

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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