Urwah Admin

DigitalOcean

DigitalOcean provides a unified cloud platform designed for running AI products at scale. It offers a range of services including cloud compute resources, managed databases, and tools for developers, all integrated to enhance performance and reduce costs. The platform supports various AI workloads with features like managed agents and an inference engine, enabling businesses to build, deploy, and scale intelligent applications efficiently.

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a <b>Senior Engineer 2</b> to join our <b>AI Inference Data Plane</b> team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2>
<ul><li><b>Technical Leadership:</b> Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li><b>System Design:</b> Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li><b>Performance Optimization:</b> Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li><b>Collaboration:</b> Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li><b>Distributed Serving at Scale:</b> Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.</li>
<li><b>Flow Control &amp; Load Balancing:</b> Solve the distributed-systems problems unique to LLM serving &mdash; inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead.</li>
<li><b>Open Source Contributions:</b> Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities.</li>
<li><b>Mentorship:</b> Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li><b>Operational Excellence:</b> Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Bring to DigitalOcean:</b></h2>
<ul><li><b>AI/ML Domain Knowledge:</b> Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT.</li>
<li><b>Inference Frameworks:</b> Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li><b>Inference Engine Depth:</b> Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching.</li>
<li><b>Distributed Inference Fluency:</b> Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL).</li>
<li><b>Upstream Track Record:</b> Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred.</li>
<li><b>Architecture Proficiency:</b> Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li><b>Software Engineering:</b> Expert-level proficiency in <b>GoLang or Python</b> and familiarity with gRPC.</li>
<li><b>Cloud Operations:</b> Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li><b>Open Source Mindset:</b> Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$139,200 - $174,000</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7624</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Senior Software Engineer I - AI Inference Data Plane

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a <b>Senior Engineer 2</b> to join our <b>AI Inference Data Plane</b> team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2>
<ul><li><b>Technical Leadership:</b> Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li><b>System Design:</b> Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li><b>Performance Optimization:</b> Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li><b>Collaboration:</b> Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li><b>Distributed Serving at Scale:</b> Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.</li>
<li><b>Flow Control &amp; Load Balancing:</b> Solve the distributed-systems problems unique to LLM serving &mdash; inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead.</li>
<li><b>Open Source Contributions:</b> Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities.</li>
<li><b>Mentorship:</b> Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li><b>Operational Excellence:</b> Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Bring to DigitalOcean:</b></h2>
<ul><li><b>AI/ML Domain Knowledge:</b> Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT.</li>
<li><b>Inference Frameworks:</b> Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li><b>Inference Engine Depth:</b> Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching.</li>
<li><b>Distributed Inference Fluency:</b> Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL).</li>
<li><b>Upstream Track Record:</b> Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred.</li>
<li><b>Architecture Proficiency:</b> Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li><b>Software Engineering:</b> Expert-level proficiency in <b>GoLang or Python</b> and familiarity with gRPC.</li>
<li><b>Cloud Operations:</b> Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li><b>Open Source Mindset:</b> Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$139,200 - $174,000</li>
</ul>
<ul><li>This is a hybrid role</li></ul>
<p>
JR: 2026-7624</p>
<p><i>
#LI-Hybrid</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Senior Engineer, Inference Data Plane

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
At DigitalOcean, Senior Deployment Engineers play a critical role in building and scaling the physical infrastructure that powers our cloud platform. Our Deployment team is responsible for new data center builds, infrastructure expansions, hardware deployments, cabling validation, site readiness, and repeatable execution standards that enable DigitalOcean to grow quickly and reliably.</p>
<p>
From leading deployment workstreams to validating infrastructure readiness, driving contractor execution, troubleshooting complex blockers, and training local teams, our Senior Deployment Engineers operate across the full deployment lifecycle. You'll join a collaborative, fast-moving team with opportunities to support large-scale deployments, new data center expansions, and next-generation infrastructure.</p>
<h3 class="jobSectionHeader"><b>
This role requires significant onsite deployment support and requires very high levels of domestic and international travel based on project needs.</b></h3>
<h2 class="jobSectionHeader"><b>What You'll Be Doing</b></h2>
<ul><li>Leading deployment workstreams for new data center builds, expansions, hardware rollouts, rack buildouts, cluster deployments, and high-density compute infrastructure</li>
<li>Acting as a senior onsite deployment resource for build quality, infrastructure validation, cabling validation, training, and site readiness</li>
<li>Validating vendor and contractor rack and stack work against DigitalOcean design standards, rack elevations, cabling plans, labeling requirements, and deployment procedures</li>
<li>Verifying physical readiness, including power feeds, redundancy, load balancing, rack layout, hardware placement, cable routing, labeling, and infrastructure documentation</li>
<li>Validating front-end and back-end cabling against design, port mapping, LLDP output, link checks, and internal validation workflows</li>
<li>Running and interpreting LLDP checks, automation scripts, tooling outputs, logs, and hardware diagnostics to confirm connectivity and deployment readiness</li>
<li>Identifying and driving correction of miswires, optic issues, link inconsistencies, communication errors, hardware faults, provisioning blockers, and physical layout issues</li>
<li>Troubleshooting complex issues across hardware, cabling, network-adjacent systems, Linux OS, tooling, and site conditions during high-pressure deployment windows</li>
<li>Coordinating contractors, vendors, and internal employees in a project capacity to complete assigned deployment workstreams</li>
<li>Sequencing work, assigning tasks, validating quality, tracking progress, and escalating blockers for assigned deployment areas</li>
<li>Training new DigitalOcean engineers, local Data Center Operations teams, vendors, and contractors on rack and stack standards, cabling patterns, validation workflows, and basic troubleshooting</li>
<li>Maintaining and improving deployment runbooks, validation workflows, operational procedures, checklists, and handoff documentation</li>
<li>Updating and validating DCTrack, NetBox handoff requirements, asset records, inventory systems, and deployment documentation</li>
<li>Providing daily status updates for assigned workstreams, including progress, risks, blockers, vendor issues, and recommended mitigation steps</li>
<li>Partnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, Procurement, and vendors to drive deployment readiness</li>
<li>Supporting operational readiness and handoff for newly deployed infrastructure</li>
<li>Participating in lessons learned and driving improvements that reduce repeat issues across future deployments</li>
<li>Supporting planning and preparation for upcoming deployments during offsite periods</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<ul><li>4+ years of experience deploying, operating, or supporting infrastructure in large-scale data center, cloud, lab, networking, or technical operations environments</li>
<li>Strong understanding of data center infrastructure, including compute, networking, storage, GPU hardware, cabling, power, rack layouts, and physical deployment standards</li>
<li>Experience deploying and troubleshooting high-density compute platforms, GPU infrastructure, and related hardware</li>
<li>Experience working with or supporting liquid-cooled infrastructure preferred</li>
<li>Strong Linux knowledge and command-line experience, including familiarity with bash scripting, logs, and diagnostic workflows</li>
<li>Strong troubleshooting skills across hardware, cabling, Linux OS, network connectivity, optics, provisioning, and tooling</li>
<li>Strong understanding of data center cabling plans, port mapping, front-end and back-end network patterns, labeling standards, and deployment best practices</li>
<li>Ability to lead assigned deployment workstreams independently in ambiguous, high-cadence environments</li>
<li>Ability to direct contractors and vendors professionally, validate completed work, correct quality issues, and drive task completion</li>
<li>Ability to evaluate deployment issues, identify root cause, leverage data, and drive timely resolution</li>
<li>Ability to communicate clearly with leadership and cross-functional partners regarding status, risk, blockers, and recommended next steps</li>
<li>Ability to update, review, and improve deployment documentation, runbooks, validation workflows, and operational procedures</li>
<li>Experience training and developing junior engineers, local site teams, vendors, and contractors</li>
<li>Ability to operate and navigate effectively through ambiguity while maintaining safety, quality, and execution standards</li>
<li>Strong ownership mindset with the ability to see deployment issues through to resolution</li>
<li>Ability to identify repeat deployment issues and recommend scalable process, tooling, or documentation improvements</li>
<li>The ability to travel domestically and internationally based on deployment needs</li>
<li>Support deployment schedules that include extended onsite periods, non-standard hours, or project-based rotations</li>
<li>Valid driver's license and comfort with driving as needed</li>
<li>Ability to remain on your feet throughout the workday</li>
<li>Ability to lift objects up to 50 lbs</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$105,600 - $132,000</li>
</ul>
<ul><li>This is a onsite role</li></ul>
<p>
JR: 2026-8035</p>
<p><i>
#LI-Onsite</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Senior Deployment Engineer

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><h2 class="jobSectionHeader"><b>
We are looking for a Staff Engineer who is passionate about the Linux kernel.</b></h2>
<p>
As a Staff Engineer at DigitalOcean, you will work as a high-level technical leader responsible for designing, optimizing, and maintaining Linux kernels for our compute and GPU fleets. You will optimize and enhance core system performance, resiliency, and security, ensuring our products consistently exceed customer expectations. You will bridge hardware and software, driving system-level architecture, debugging performance bottlenecks, and mentoring senior engineers.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2>
<ul><li>Optimize kernels for performance and resiliency across the DigitalOcean fleet for storage, networking, and virtualization</li>
<li>Drive cross-functional engineering initiatives and influence hardware roadmaps without direct authority</li>
<li>Define low-level software architecture</li>
<li>Tune kernels for low latency, high throughput, and power efficiency</li>
<li>Diagnose and resolve issues in the kernel</li>
<li>Deliver critical kernel fixes and security mitigations with kernel live patches</li>
<li>Investigate and resolve virtual machine downtime and kernel issues in our production environment</li>
<li>Implement monitoring and alerting of key metrics to drive resiliency of compute infrastructure</li>
<li>Improve tooling and automation for testing and deployment of Linux kernels</li>
<li>Lead initiatives to enhance shared infrastructure, balancing performance optimization with rigorous security standards</li>
<li>Work cross-functionally to harness new performance capabilities from evolving hardware architectures</li>
<li>Participate in on-call rotations as needed to support system reliability</li>
<li>Work with Linux kernel community to push changes upstream</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean:</b></h2>
<ul><li>Bachelor's or Master's degree in Computer Science, Mathematics, or Computer/Electrical Engineering or equivalent work experience</li>
<li>Experience maintaining Linux kernels for large-scale cloud infrastructure, with a deep understanding of operating system internals</li>
<li>Broad knowledge of the Linux kernel and kernel subsystems</li>
<li>Demonstrated experience with kernel patching and debugging</li>
<li>Debugging skills with Linux kernel and kernel drivers</li>
<li>Expertise in C/C++ programming and one or more scripting languages</li>
<li>Familiarity with compiler toolchains, build environments</li>
<li>Experience with Linux virtualization using KVM, QEMU</li>
<li>General understanding of Linux kernel security mechanisms and common security concepts</li>
<li>Familiarity with x86_64 and/or ARM architectures</li>
<li>Experience contributing patches to the upstream Linux kernel community is highly preferred</li>
<li>Demonstrated ability to solve complex problems at scale</li>
<li>Excellent cross-team collaboration and communication skills</li>
<li>Professional-level written and spoken English with strong presentation abilities</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$191,200 - $239,000</li>
</ul>
<ul><li>This is a hybrid role</li></ul>
<p>
JR: 2026-7920</p>
<p><i>
#LI-Hybrid</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Staff Software Engineer

Join DigitalOcean and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DigitalOcean

About Company

Senior Software Engineer I - AI Inference Data Plane

Senior Engineer, Inference Data Plane

Senior Deployment Engineer

Staff Software Engineer