Senior Software Engineer - HashiCorp FinOps
Introduction
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world's leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp's offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM's cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey.
Your role and responsibilities
About this Role
This engineering role is on a nascent, growing engineering team. The team is responsible for products that touch many areas of engineering organizations at HashiCorp, so applicants will need to excel at collaboration, have product-focused mindsets, and be comfortable iterating in an agile manner towards solutions.
In this role, you can expect to:Key Objectives:
- FinOps Fundamentals: Develop skills in FinOps practices and principles, with a focus on cloud infrastructure optimization.
- Data-Driven Decision Making: Learn to democratize cost and usage data to inform engineering decisions, promoting transparency and accountability.
- Cloud Efficiency: Understand how to strategically drive infrastructure efficiency improvements, developing dashboards to analyze costs and unit economics.
Key Responsibilities:
- Design and deliver solutions that improve FinOps capabilities and foster a FinOps engineering culture.
- Create dashboards and analytics to track cloud spend, identifying opportunities for optimization and cost savings.
- Collaborate with Engineering teams to develop product architecture that considers cost drivers and efficiency gains.
- Develop financial and usage dashboards, working with finance teams on budget forecasting and tagging.
- Establish policies, controls, and best practices to govern cloud spending across the organization.
Additional Tasks:
- Learn to develop solutions and frameworks for cost-effective testing, deployment, and monitoring of services.
- Work with engineering teams to identify opportunities for infrastructure efficiency improvements.
- Monitor cloud consumption at the account level, detecting anomalies and unplanned spikes.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- 5+ years of experience in professional backend software development in cloud environments
- Proficiency in Golang,Python or any other programming language is necessary.
- Proficiency in one or more major cloud platforms (AWS, Azure, GCP) and their associated services, pricing models, and management tools.
- Familiarity with Cost Management Solutions such as AWS CUDOS, CloudZero, etc.
- Experience with data visualization tools (Tableau, Qlik, PowerBI, etc...) is desirable
- Relevant certifications, such as AWS Solutions Architect Certification and FinOps Foundation Certified Practitioner, are a plus.
- Strong experience with Terraform, Kubernetes, GitHub, and configuration management tools such as Ansible is preferred
- Team player with effective interpersonal skills. Able to collaborate with remote teams effectively.
- Worked with SaaS or another type of managed software offerings
Preferred technical and professional experience
- Familiarity with HashiCorp products and services
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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