The Adobe Ethos team is looking for a senior software engineer to work on our cloud efficiency team. Are you interested in Kubernetes, contributing to cloud infrastructure, and writing efficiency tools and APIs using node.
js? If so, this could be the perfect position for you to make a business-critical impact on Adobe’s cloud infrastructure!
Ethos deploys Adobe-wide software and infrastructure technology, promoting containerization, clusterization , and continuous integration / continuous deployment (CI / CD).
We create tools, processes, and workflows that connect and empower hundreds of internal development teams.
We are looking for a deeply technical individual contributor who is able to drive modifications to our Kubernetes infrastructure to promote efficiency, including custom and off-the-shelf components such as Descheduler and Cluster Autoscaler .
You will also contribute to internal developer tooling to help us manage, report, and remediate on cloud efficiency blockers from both a service and cluster level perspective.
The ideal candidate is passionate about improving efficiency while ensuring service availability and reliability on business-critical workloads.
What You’ll Do
Deep dive on specific technical areas blocking efficiency and analyze solutions
Make meaningful contributions to our Kubernetes infrastructure to improve efficiency
Use data to make decisions on where to invest and iterate on our efficiency tools
Iterate rapidly in the efficiency / reliability continuum to find optimal solutions
Work directly on a small team of efficiency engineers contributing to Ethos
Collaborate with adjacent scrum teams & other Adobe products on driving efficiency
What You Need to Succeed
Minimum of 5 years of experience working in software development for cloud applications
Minimum of 2 years of experience working with Kubernetes, at least comfortable with architectural patterns and tools as a consumer, ideally as an infrastructure contributor
Strong software development skills in Python, Node.js, Go, or similar language
An interest in the DevOps mindset and best practices from a software engineering perspective
Basic familiarity with AWS Lambda, Serverless, DynamoDB and / or Postgres
Understanding of cloud network architectures (VNET / VPC / Nat Gateway / Envoy etc.)
A working knowledge of time-series monitoring tools (such as Prometheus, Grafana, etc.)
Comfortable with taking initiative, owning technical areas, and working independently
Excellent communication skills (we’re a geographically distributed team)
BS Degree in computer science is preferred or minimum 6 years’ equivalent experience in software engineering
Nice to have : experience in the cloud efficiency space
Some of the technologies we work with :
About the Team
We’re building the platform to run Adobe's web, big data, and machine learning services.
Our team of 80+ people works in smaller groups of 3-6 developers. This allows us to be agile while working within a larger organization.
We're globally distributed : the group is in India, Romania, New York City, Lehi, Seattle, and San Jose just to name a few!
Our product and teams are growing quickly. Though we are established and iterating in production, there are plenty of challenges to overcome, decisions to be made, and new development to do.