Senior Software Engineer II-Mongo/Aiven KTLO
DigitalOcean · Posted Sep 30
Cloud infrastructure, virtual machines, managed database, and AI inference services
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About the role
DigitalOcean is hiring into the team whose mission is to simplify the customer and developer experience so they can focus on building and operating their applications, working on a cloud DBaaS platform. The team builds control plane systems for database engines, telemetry and logging, and orchestration of database workflows. This role develops the control plane for the DBaaS platform, builds highly scalable distributed systems, provisions/scales/backs up database clusters, and automates database operations including upgrades and security patching.
What you will do
- Develop the control plane for a cloud DBaaS platform
- Build highly scalable distributed systems at scale
- Build and operate specific database engine controls to provision, destroy, scale, and backup clusters
- Build world class telemetry and logging to provide proactive signals and alerts to both engineering teams and customers if something isn’t right
- Orchestrate complex workflows for various database engines
- Automate and create playbooks for operations related to owning and running database engines that may include minor or major upgrades, security patching, and other maintenance events
- Stay current with trends in cloud-native infrastructure, Kubernetes operators, control plane patterns, and the DBaaS competitive landscape to inform long-term technical strategy.
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software engineering
- Experience delivering complex cloud-scale distributed systems, particularly in data and OLTP databases.
- Golang and gRPC experience
- Strong knowledge of K8s and deployment pipelines including Github Actions
- Systems thinking.
- Strong opinions, weakly held.
Preferred qualifications
- Preferred: Experience with orchestration engines such as Temporal
- Preferred: Operation experience with MongoDB
Benefits and support
- Bonus in addition to base salary, determined based on company and individual performance
- Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Employee Assistance Program
- Local Employee Meetups
- Flexible time off policy
About DigitalOcean
DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.
- Industry
- Cloud Computing
- Company size
- 1001-5000 employees
- Founded
- 2011-06-24
- Location
- Broomfield, Colorado, USA
- Funding stage
- Public Company
Funding
Public Company · $174M raised
- 2013-07-01Seed$3.2M
- 2014-03-01Series A$37.2M
- 2014-12-01Debt Financing$50M
- 2015-07-01Series B$83M
- 2016-04-01Debt Financing$130M
- 2020-05-01Venture Round$50M
- 2021-03-24IPO$775.5M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Technology Officer
Chief Marketing Officer
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