Full-Time

Staff Engineer

Availability

Posted on 1/7/2025

DigitalOcean

DigitalOcean

1,001-5,000 employees

Cloud platform enabling rapid app deployment

Compensation Overview

$161.3k - $201k/yr

+ Bonus + Equity Compensation

Seattle, WA, USA

Remote

The position is remote but the team is spread across North America and Europe.

Category
DevOps & Infrastructure (1)
Required Skills
Grafana
Git
Elasticsearch
Prometheus
Linux/Unix
Looker
Requirements
  • Significant experience using or administering Linux systems
  • Significant experience writing documents in English - especially technical documentation, post-mortems, and/or blogging
  • Significant experience reading, writing, and debugging code
  • Experience with incident management and incident response
  • A strong SRE background
  • Proficiency with shell & git
  • Proficiency with continuous integration systems and concepts
  • Experience leveraging monitoring systems (e.g. Grafana, Prometheus, Looker, Elasticsearch) for data-driven outcomes
  • Comfortable executing in an asynchronous remote environment
  • Transparency, honesty, and openness to constructive feedback
  • A desire to work with a respectful and inclusive team
Responsibilities
  • Improving toilsome availability-related policies & processes
  • Communicating incident status clearly to customers
  • Working with service teams to drive availability improvements
  • Communicating internally with tons of lovely engineers
  • Working collaboratively in a changing environment
  • Driving data-informed decision making
  • Responding to Slack messages & keeping up with various streams of conversation
  • Spending time on hackathons, education, employee groups, and open source projects
Desired Qualifications
  • Knowing any of the tools in DigitalOcean’s observability platform is a bonus

DigitalOcean provides cloud computing infrastructure for developers, startups and SMBs to build, deploy, and scale applications using Droplets, managed databases, Kubernetes, object storage, and networking. It offers simple provisioning via a dashboard and APIs with fully managed services so teams avoid managing underlying infrastructure. It differentiates itself through a focus on simplicity, a strong developer community, open-source alignment, affordable pricing, and responsive support. The goal is to free developers from infrastructure chores so they can focus on coding and growing their business.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2012

Your Connections

People at DigitalOcean who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Inference and core cloud generated 81% of $170 million AI ARR.
  • AI customer revenue grew 221% year over year in Q1 2026.
  • OpenCode integration can distribute DigitalOcean through developer workflows, not just cloud consoles.

What critics are saying

  • AWS, Google Cloud, and Microsoft Azure can outspend DigitalOcean on AI distribution.
  • Inference pricing competition can compress margins quickly if hyperscalers undercut DigitalOcean.
  • GPU expansion depends on scarce NVIDIA supply and expensive liquid-cooled infrastructure.

What makes DigitalOcean unique

  • DigitalOcean launched an AI-Native Cloud spanning infrastructure, inference, data, and managed agents.
  • The platform serves 640,000+ customers across 20 data centers in five regions.
  • Its stack emphasizes open platform control, no lock-in, and production AI economics.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote-first

Full health coverage

Wellness coverage

Flexible vacation time

Team-building & social events

401(k) plans

ESPP

Education support

Partner support

Employee giving

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
The Software Scout
Jun 4th, 2026
Railway vs DigitalOcean 2026: which should you deploy on?

Railway vs DigitalOcean 2026: which should you deploy on? By Ben / June 4, 2026 Railway and DigitalOcean both let you get an app online fast, but they sit at different points on the control-versus-convenience line. Railway is a modern platform built around developer experience, where you push code and it just runs. DigitalOcean gives you a broader cloud, from a managed app platform down to raw servers, with more control and more predictable pricing at scale. The right choice depends on whether you want to ship without thinking about infrastructure or keep your hands on the wheel. This comparison breaks it down. Quick verdict Railway is the better pick for most developers who want the fastest path from code to a running app, with a superb developer experience and instant databases. Choose DigitalOcean if you want more control, predictable flat pricing, and room to scale from a managed platform down to raw servers. At a glance. Try Railway Push your code and Railway builds, deploys, and runs it, with instant Postgres, Redis, and more. The fastest developer experience for getting an app live. How The Software Scout compared them. The Software Scout weighed what matters when you are choosing where to deploy: how quickly you get from a git push to a running app, the quality of the developer experience, how pricing behaves as you grow, how much control you have over the underlying infrastructure, the database and add-on story, and how each scales. Railway and DigitalOcean are both excellent, so this is about which trade-off between convenience and control fits your project. Railway. Railway is the modern deployment platform built around making developers productive, and that experience is why it is its default recommendation for getting an app live fast. Developer experience and databases. Railway's whole pitch is that you connect a repo, and it detects your stack, builds it, and deploys it without config files or YAML. Provisioning a Postgres, Redis, or MySQL database is a single click and it wires the connection variables in for you. Preview environments, instant rollbacks, a clean dashboard, and a capable CLI round it out. For solo developers, small teams, and anyone prototyping, the speed from idea to running service is genuinely the best in the category. Scaling and pricing. Railway scales services and databases without you managing servers, and its usage-based pricing means you pay for the compute and resources you actually consume. For small and mid-size projects that is efficient and often cheap. The trade-off is that usage-based billing is less predictable than a flat monthly fee, and at large, steady scale the convenience can cost more than running your own servers. You are also working at a higher level of abstraction, so you trade some low-level control for that simplicity. * Best-in-class developer experience * One-click databases with variables wired in * Git-push deploys, preview environments, rollbacks * Usage-based pricing is efficient for small projects * Usage-based billing is less predictable * Less low-level infrastructure control * Can cost more than raw servers at large scale DigitalOcean. DigitalOcean is a full cloud provider that spans the range from a managed app platform to raw virtual servers, which gives you more control and more predictable economics as you grow. From App Platform to Droplets. DigitalOcean App Platform is its managed PaaS, deploying directly from a repo with builds, scaling, and managed databases, much like Railway but a step less polished on developer experience. Below that sit Droplets, its straightforward virtual machines, plus managed Kubernetes, Spaces object storage, load balancers, and managed databases. That range means you can start on the App Platform and drop down to full server control whenever you need it, all within one provider and one bill. Pricing and control. DigitalOcean's pricing is famously simple and flat, so a Droplet or an App Platform tier costs a predictable amount each month regardless of spikes, which makes budgeting easy and is often cheaper at steady scale. The trade-off is responsibility: the more you move toward Droplets, the more you own patching, scaling, and configuration. The developer experience is good but more hands-on than Railway's, so you are trading some convenience for control and predictable cost. * Predictable, flat monthly pricing * Full range from managed PaaS to raw servers * More control over infrastructure * Often cheaper at steady, larger scale * Developer experience less polished than Railway * More ops responsibility as you move to Droplets * More setup to get to a running app Head to head. Developer experience. Railway wins. Git-push deploys, one-click databases, and zero config get you running faster than anything DigitalOcean offers, including App Platform. Pricing. DigitalOcean wins on predictability. Its flat monthly tiers make costs easy to forecast, while Railway's usage-based model is efficient for small projects but harder to predict and pricier at large steady scale. Control and flexibility. DigitalOcean wins. From App Platform down to Droplets and Kubernetes, you can take as much control as you want. Railway deliberately abstracts the infrastructure away. Scaling. It depends. Railway scales effortlessly with no ops for small to mid-size apps. DigitalOcean scales further and more cheaply at large, steady volumes if you are willing to manage more of the stack. Which should you choose? For most developers, Railway is the smarter choice, with the fastest path from code to a running app, instant databases, and a developer experience nothing else quite matches, which is ideal for solo developers, small teams, and prototypes. Choose DigitalOcean if you want predictable flat pricing, more control over your infrastructure, and the ability to scale from a managed platform down to raw servers within one provider. Both are excellent, so it comes down to convenience versus control. For more options, see its guide to the best hosting platforms for developers, and its Railway vs Render comparison. Get started with Railway Push your code and Railway builds, deploys, and runs it, with instant databases and zero config. The fastest way to get an app live. Frequently asked questions. Is Railway or DigitalOcean easier to use? Railway, clearly. Its git-push deploys, one-click databases, and zero-config workflow get you to a running app faster than DigitalOcean, including the App Platform. Which is cheaper? It depends on scale. Railway's usage-based pricing is efficient for small projects, while DigitalOcean's flat tiers are more predictable and often cheaper at steady, larger scale. Does DigitalOcean have a platform like Railway? Yes, DigitalOcean App Platform is its managed PaaS that deploys from a repo. It is close in concept to Railway but a step less polished on developer experience, and you can drop down to Droplets for more control. Which is better for scaling a large app? DigitalOcean tends to win at large, steady scale thanks to flat pricing and full infrastructure control, if you are willing to manage more of the stack. Railway scales effortlessly with no ops for small to mid-size apps. Can I run databases on both? Yes. Railway offers one-click managed databases with connection variables wired in, and DigitalOcean offers managed databases alongside App Platform and Droplets. The bottom line. Railway and DigitalOcean are both excellent places to deploy, and the right one comes down to how much control you want. For the fastest developer experience and the quickest path from code to running app, Railway is the better choice for most developers. DigitalOcean is the stronger pick if you want predictable flat pricing, full control, and room to scale from a managed platform to raw servers. Decide whether convenience or control matters more, and the right platform becomes clear.

IT Security News
Apr 7th, 2026
Scale smarter: A Practical Guide to Building with Akamai Object Storage.

Scale smarter: A Practical Guide to Building with Akamai Object Storage. 2026-04-07 18:04 Akamai Object Storage provides high-performance, cost-effective Amazon S3-compatible object storage. Here's what it's used for and how to set it up. Read the original article: Hacking & Cracking This post doesn't have text content, please click on the link below to view the original article. This article has been indexed from BlogRead the original article: Scale Faster: A Practical Guide to Building with Akamai Block Storage April 7, 2026 Learn about the early 2026 Terraform update, how the change will affect your workflow, and how to successfully navigate any issues that may arise. This article has been indexed from BlogRead the original article: Akamai Block Storage Makes Block Disk Encryption the Default in Terraform January 23, 2026 DigitalOcean announced Per-Bucket Access Keys for DigitalOcean Spaces, its S3-compatible object storage service. This feature provides customers with identity-based, bucket-level control over access permissions, helping to enhance their data security and simplifying management. Prior to the introduction of Per-Bucket Access Keys, many customers chose to limit the types of applications... January 23, 2025

Business Wire
Apr 3rd, 2026
DigitalOcean Acquires Katanemo Labs to Accelerate the Inference Cloud for the Agentic Era

DigitalOcean (NYSE: DOCN), the Agentic Inference Cloud built for production AI, today announced it has acquired Katanemo Labs, Inc., the models and research ...

Yahoo Finance
Mar 29th, 2026
How much higher can DigitalOcean stock go?

How much higher can DigitalOcean stock go? Anthony Di Pizio, The Motley Fool DigitalOcean (NYSE: DOCN) provides a suite of affordable cloud computing services exclusively to small and medium-sized businesses (SMBs). That was already a lucrative business model, but the company is now also helping its customers deploy artificial intelligence (AI) software, and demand is through the roof. The company's revenue growth accelerated last year, propelling its stock to a 41% gain. But it's up by a further 77% in 2026 already, as investors anticipate a continued surge in businesses' appetite for AI-related computing capacity. In fact, DigitalOcean recently announced plans to raise $800 million from investors to build more data center infrastructure. Will AI create the world's first trillionaire? Its team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue" Despite its recent gains, the stock is still trading at a relatively attractive valuation. So, how much higher can it go from here? AI for businesses of all sizes. The cloud computing industry is dominated by trillion-dollar hyperscalers like Amazon and Microsoft. Those providers usually compete for large customers with high spending potential, whereas SMB customers don't really move the needle for them in terms of revenue. As a result, SMBs often don't get the level of service they need from the hyperscalers. DigitalOcean exclusively targets those customers by offering cheap and transparent pricing, highly personalized service, and a simple dashboard which makes deploying cloud tools very straightforward. These features are ideal for start-ups and SMBs with limited financial and technical resources. The company is now helping its customers enter the AI era. Its Gradient platform provides them with access to the latest large language models (LLMs) from leading developers like OpenAI and Anthropic, which can be used as a foundation for developing AI software applications. DigitalOcean also operates data centers fitted with thousands of the latest AI chips from suppliers like Nvidia and Advanced Micro Devices, and it rents the computing capacity to SMBs for a fee. While hyperscale cloud providers try to lease thousands of chips to their customers at a time, DigitalOcean allows its customers to start with just one chip and scale as needed, which is plenty for small workloads like running an AI chatbot or deploying a few AI agents. The company says its prices are up to 75% cheaper than the hyperscale cloud providers for the same AI chips, which is a substantial saving for its budget-conscious customers.

Hawkdive
Mar 27th, 2026
GTC 2026 announces arrival of inference era: DigitalOcean confirms.

GTC 2026 announces arrival of inference era: DigitalOcean confirms. News GTC 2026 announces arrival of inference era: DigitalOcean confirms. March 27, 2026 8:1 pm Discover more Machine Learning & Artificial Intelligence At the recent NVIDIA GTC 2026 conference, the focus was on the evolution of AI from the training phase to the production inference phase. This shift signifies a significant development in the AI industry, moving beyond just developing faster chips and more intelligent models to addressing the challenges of running AI at scale in real-world applications. Inference, the stage where AI models are put into production to deliver real products and customer experiences, is now at the forefront of the AI conversation. Factors such as cost efficiency, latency, orchestration, and uptime are becoming just as important as the accuracy of the models themselves. The industry is now looking beyond just hardware advancements to the broader infrastructure needed to support AI-native companies. As AI becomes an integral part of business operations, the focus is on creating a cohesive system that encompasses chips, platforms, models, and applications to meet the demands of customers. DigitalOcean, in collaboration with NVIDIA, announced the launch of the Agentic Inference Cloud, aimed at helping AI developers transition from experimentation to production seamlessly. This initiative includes the introduction of a new data center in Richmond designed specifically for AI inference, equipped with NVIDIA HGX B300 systems and a high-speed RDMA fabric. Additionally, DigitalOcean is integrating NVIDIA Dynamo 1.0 into its Kubernetes platform and expanding model options optimized for various use cases. The momentum towards production-level AI deployment is already evident, with over 43,000 OpenClaw deployments on DigitalOcean, showcasing strong adoption from teams developing always-on assistants and agentic applications. To further explore the practical aspects of running AI inference at scale, leaders from NVIDIA, VAST Data, vLLM, Arcee AI, Character.AI, Workato, and more will be sharing insights at the upcoming DigitalOcean Deploy event in San Francisco on April 28, 2026. This event aims to provide valuable lessons on real-world architecture, performance, economics, and operational efficiency in the field of AI inference. For more Information, Refer to this article. You may also like these: Neil is a highly qualified Technical Writer with an M.Sc(IT) degree and an impressive range of IT and Support certifications including MCSE, CCNA, ACA(Adobe Certified Associates), and PG Dip (IT). With over 10 years of hands-on experience as an IT support engineer across Windows, Mac, iOS, and Linux Server platforms, Neil possesses the expertise to create comprehensive and user-friendly documentation that simplifies complex technical concepts for a wide audience. Discover more Machine Learning & Artificial Intelligence Watch & Subscribe Its YouTube Channel Latest from hawkdive. Neil S - March 27, 2026 10:1 pm Neil S - March 27, 2026 9:1 pm Neil S - March 27, 2026 8:1 pm Neil S - March 27, 2026 7:1 pm Neil S - March 27, 2026 6:1 pm Discover more Machine Learning & Artificial Intelligence

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