Who We Are:
We believe that open-source software, open standards and APIs are the greatest transformational tools for organizations in the modern software development era.
Our mission at Diagrid is to provide developers with APIs and tools that help them focus on their code and not on infrastructure. As online digital services need to handle more load and run on multiple clouds or on-premises environments, programming to higher level abstractions delivers consistent, secure and reliable code that is easily portable and helps organizations de-risk their projects.
Diagrid is founded by the creators of the Dapr and KEDA open-source projects, and who led the user experience, design and development of hyper-scale infrastructure cloud services, serverless platforms and open-source projects at Microsoft.
We are backed by top VC firms and supported with industry leading investors and advisors including Joe Beda (Kubernetes Co-Founder, former Co-Founder / CTO at Heptio) Matt Klein (Creator of Envoy, Lyft), Mark Russinovich (CTO, Microsoft Azure), William Morgan (Creator of Linkerd, CEO Buoyant), Seth Vargo (Senior Staff Engineer, Google), Adam Gross (Former CEO, Heroku), Sri Viswanath (Former CTO, Atlassian), Adam Frankl (Dev Marketing Expert, Neo4J & JFrog), and Roopak Venkatakrishnan (Head of platforms, Bolt).
About the Role
As a Senior Software Engineer at Diagrid Cloud, you’ll be designing and implementing new systems and features, whilst maintaining and improving our existing systems' resilience and operational maturity. Your work will focus on delivering excellent user experience, security, performance and reliability. As well as development work, you and the team will be responsible for delivering and operating Diagrid's cloud services.
Diagrid Cloud currently offers 2 services:
Conductor, for operating Dapr in production.
Catalyst, serverless Dapr. This service is currently in public beta.
You will be a great fit if you are passionate about distributed systems, love shipping new features, bashing bugs and achieving operational excellence.
Responsibilities
Design and build cloud services that are scalable, secure and reliable
Analyse, debug and fix issues in the system
Design and implement operational excellence and best practices
Build a vibrant and exciting engineering culture
Promote and develop cloud-native and open source best practices
Help mature the engineering discipline across the organization
On call for incident response
Qualifications
5+ years of experience in designing and building distributed systems
2+ years operating a public cloud service or platform in production
2+ years of experience with Go
2+ years of experience with Kubernetes, Docker or other container based systems
2+ years of experience with Google Cloud or similar cloud provider
Solid understanding of computer science principles with a focus on distributed systems
Excellent communication skills
Ability to mentor early career engineers
Bonus: experience with Dapr
At Diagrid, we believe in using open-source tools and protocols to get the job done, while respecting the age-old "pick the right tool for the right job" saying. As such, we expect our tech stack to be dynamic and evolving in nature while retaining our open-source strategy.
Go
NodeJS
React
Kubernetes
Docker
MySQL/PostgreSQL
Cortex/Loki/Tempo
Kafka/Nats
Multiple Clouds (AWS and GCP primarily)
Diagrid Benefits:
Competitive compensation
Company equity
Remote first & flexible work environment
Flexible paid time off
Comprehensive healthcare for you and your dependents
Choice of hardware
$1000 for home office setup
Monthly WFH stipend
Team events & gatherings
Chance to collaborate with industry-leading figures
Diagrid, Inc. is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
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