DigitalOcean
San Francisco, California
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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. Scope And Mission Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. Drive architectural vision, technical excellence, and innovation across both backend systems and customer facing interactions. Key Responsibilities Architect and Build Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross agent interactions. Drive initiatives to deliver an architecture optimized for scalability, reliability, low latency, and cost efficiency. Manage and evolve our benchmarking system to continuously raise the bar on our experience. Roll out new services by taking on a hands on lead role as required to ensure timely delivery. Technical Leadership Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams. Establish best practices for design, testing, deployments, instrumentation, and performance tuning. Mentor other senior engineers, shaping the team's culture of architectural rigor and operational excellence. Cross functional Collaboration Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps. Guide customer facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. Reliability, Performance & Scaling Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. Oversee availability, performance tuning, fail over strategies, capacity planning, and disaster recovery. Drive AI driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations. Innovation & Future Road mapping Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering. Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them. Qualifications Domain Expertise: Hands on experience designing and operating production grade AI/ML platforms using the latest GenAI and agent development technologies. Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms. Leadership & Collaboration: Prior experience as a technical visionary in large scale, mission critical projects; ability to align technology strategy with business impact. Operational Excellence: Expertise in driving operational excellence via automation and best practices. Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams. Compensation Range $272,448 - $340,560 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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 meet ups to flexible time off policy, to name a few. We reward our employees. 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. Equal Opportunity Employer Statement DigitalOcean is an equal opportunity employer. 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.
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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. Scope And Mission Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. Drive architectural vision, technical excellence, and innovation across both backend systems and customer facing interactions. Key Responsibilities Architect and Build Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross agent interactions. Drive initiatives to deliver an architecture optimized for scalability, reliability, low latency, and cost efficiency. Manage and evolve our benchmarking system to continuously raise the bar on our experience. Roll out new services by taking on a hands on lead role as required to ensure timely delivery. Technical Leadership Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams. Establish best practices for design, testing, deployments, instrumentation, and performance tuning. Mentor other senior engineers, shaping the team's culture of architectural rigor and operational excellence. Cross functional Collaboration Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps. Guide customer facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. Reliability, Performance & Scaling Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. Oversee availability, performance tuning, fail over strategies, capacity planning, and disaster recovery. Drive AI driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations. Innovation & Future Road mapping Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering. Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them. Qualifications Domain Expertise: Hands on experience designing and operating production grade AI/ML platforms using the latest GenAI and agent development technologies. Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms. Leadership & Collaboration: Prior experience as a technical visionary in large scale, mission critical projects; ability to align technology strategy with business impact. Operational Excellence: Expertise in driving operational excellence via automation and best practices. Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams. Compensation Range $272,448 - $340,560 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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 meet ups to flexible time off policy, to name a few. We reward our employees. 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. Equal Opportunity Employer Statement DigitalOcean is an equal opportunity employer. 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.
DigitalOcean
San Francisco, California
Job Title: Senior Solutions Architect (AI/ML) Company: DigitalOcean Overview 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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges especially in the fast growing AI/ML space. As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Senior Manager of Solutions Architecture, you'll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions. You will influence both technical and business decisions, help customers modernize their workloads, and position DigitalOcean as the preferred cloud for their AI/ML and GPU needs. In this role, you will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives both new customer acquisition and the expansion of existing relationships. As the technical subject matter expert, you'll design, implement, and optimize cloud solutions that are high performing, resilient, and aligned to customer needs. Additionally, you will work cross functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean's products and services. Your technical leadership and consultative approach will be essential in building trusted relationships, influencing strategic decisions, and positioning DigitalOcean as the preferred cloud partner for growing businesses and strategic partners. This is an exciting opportunity to combine your technical depth, business acumen, and communication skills to drive meaningful impact on DigitalOcean's growth and success. What You'll Do Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU based workloads. Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals. Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proof of concepts, and executive briefings to accelerate adoption. Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine tuning LLMs and GenAI models. Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases. Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines. Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams. Provide customer feedback to shape product roadmaps and enhance platform capabilities. Support workload expansion, retention, and long term partnership growth through proactive technical engagement. Key Metrics Technical Growth Enablement - Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage. Reduction in Time to Value - Accelerate onboarding, POCs, and migrations for accounts. POC & Migration Success Rate - Percentage of proofs of concept and migrations completed on time and meeting defined success criteria. Product & Feature Advocacy - Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering. What You'll Add To DigitalOcean 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine tuning LLMs (DeepSeek, Llama, Claude, GPT 4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT). Hands on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud native practices. Excellent communication skills, comfortable engaging and presenting to both engineers and executives. Proven ability to lead complex technical engagements from discovery and solution design to post deployment success. Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives. Preferred Contributions to open source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi cloud or hybrid cloud architectures. Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD. Hands on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices. Active participation in cloud native or developer communities, including presenting at meetups, conferences, or contributing to forums. Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership. Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions. Compensation Range $141,120 - $176,400 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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. We reward our employees. 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. Application Limit 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. Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Internet Publishing Equal Opportunity Statement DigitalOcean is an equal opportunity employer. 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.
Job Title: Senior Solutions Architect (AI/ML) Company: DigitalOcean Overview 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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges especially in the fast growing AI/ML space. As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Senior Manager of Solutions Architecture, you'll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions. You will influence both technical and business decisions, help customers modernize their workloads, and position DigitalOcean as the preferred cloud for their AI/ML and GPU needs. In this role, you will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives both new customer acquisition and the expansion of existing relationships. As the technical subject matter expert, you'll design, implement, and optimize cloud solutions that are high performing, resilient, and aligned to customer needs. Additionally, you will work cross functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean's products and services. Your technical leadership and consultative approach will be essential in building trusted relationships, influencing strategic decisions, and positioning DigitalOcean as the preferred cloud partner for growing businesses and strategic partners. This is an exciting opportunity to combine your technical depth, business acumen, and communication skills to drive meaningful impact on DigitalOcean's growth and success. What You'll Do Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU based workloads. Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals. Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proof of concepts, and executive briefings to accelerate adoption. Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine tuning LLMs and GenAI models. Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases. Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines. Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams. Provide customer feedback to shape product roadmaps and enhance platform capabilities. Support workload expansion, retention, and long term partnership growth through proactive technical engagement. Key Metrics Technical Growth Enablement - Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage. Reduction in Time to Value - Accelerate onboarding, POCs, and migrations for accounts. POC & Migration Success Rate - Percentage of proofs of concept and migrations completed on time and meeting defined success criteria. Product & Feature Advocacy - Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering. What You'll Add To DigitalOcean 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine tuning LLMs (DeepSeek, Llama, Claude, GPT 4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT). Hands on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud native practices. Excellent communication skills, comfortable engaging and presenting to both engineers and executives. Proven ability to lead complex technical engagements from discovery and solution design to post deployment success. Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives. Preferred Contributions to open source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi cloud or hybrid cloud architectures. Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD. Hands on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices. Active participation in cloud native or developer communities, including presenting at meetups, conferences, or contributing to forums. Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership. Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions. Compensation Range $141,120 - $176,400 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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. We reward our employees. 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. Application Limit 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. Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Internet Publishing Equal Opportunity Statement DigitalOcean is an equal opportunity employer. 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.
DigitalOcean
San Francisco, California
Senior Software Engineer, Security Products Get AI-powered advice on this job and more exclusive features. 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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast paced environment and is passionate about solving complex security challenges at scale. What you'll do Design and develop real time security detection engines using Apache Flink and Kafka for threat detection at cloud scale Build high performance security APIs and microservices using Go and JavaScript/Node.js Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence Architect and implement security solutions running on Kubernetes at hyperscale Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data Lead technical design for complex security platform features from conception to production Collaborate with security researchers, threat analysts, and cloud platform teams Mentor junior engineers on security engineering best practices and cloud native development What we'll expect from you 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions. Expert level Go and strong JavaScript/Node.js skills Proven track record of designing and implementing high throughput, scalable systems with large data requirements Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high volume event streams. Deep Kubernetes expertise running security critical workloads at scale Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as code expertise (Terraform, Helm, Chef) Experience building systems handling millions of events per second Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners). Excellent problem solving, analytical, and communication skills. Ability to thrive in a fast paced, dynamic, and rapidly evolving environment. Nice to Have Experience with distributed systems and microservices architectures. Knowledge of cryptography and secure communication protocols. Contributions to open source security projects. Compensation Range $133,680.00 - $167,100.00 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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. We reward our employees. 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. DigitalOcean is an equal opportunity employer. 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. Application Limit: 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.
Senior Software Engineer, Security Products Get AI-powered advice on this job and more exclusive features. 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-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast paced environment and is passionate about solving complex security challenges at scale. What you'll do Design and develop real time security detection engines using Apache Flink and Kafka for threat detection at cloud scale Build high performance security APIs and microservices using Go and JavaScript/Node.js Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence Architect and implement security solutions running on Kubernetes at hyperscale Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data Lead technical design for complex security platform features from conception to production Collaborate with security researchers, threat analysts, and cloud platform teams Mentor junior engineers on security engineering best practices and cloud native development What we'll expect from you 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions. Expert level Go and strong JavaScript/Node.js skills Proven track record of designing and implementing high throughput, scalable systems with large data requirements Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high volume event streams. Deep Kubernetes expertise running security critical workloads at scale Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as code expertise (Terraform, Helm, Chef) Experience building systems handling millions of events per second Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners). Excellent problem solving, analytical, and communication skills. Ability to thrive in a fast paced, dynamic, and rapidly evolving environment. Nice to Have Experience with distributed systems and microservices architectures. Knowledge of cryptography and secure communication protocols. Contributions to open source security projects. Compensation Range $133,680.00 - $167,100.00 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. 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. We prioritize career development. 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. We care about your well being. 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. We reward our employees. 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. DigitalOcean is an equal opportunity employer. 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. Application Limit: 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.
DigitalOcean
San Francisco, California
Senior Cloud Operations Engineer I at DigitalOcean. Join us to build the simplest scalable cloud. If you have a growth mindset, love to think big and bold, and thrive in a fast paced industry disruptor, you'll find your place here. We value winning together - learning, having fun, and making a profound difference for dreamers and builders in the world. We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale. We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Operational Readiness, the Operational Readiness Engineer builds software and processes to improve all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to gaps causing cloud wide disturbances. What You'll Do Ensuring maximum uptime for our global infrastructure Automating processes and building tools to improve operational efficiency Coordinating operational work across teams to improve the platform with minimal impact What You'll Add To DigitalOcean Solid experience with Linux operating systems or networking and day to day upkeep Familiarity with virtualization technologies and troubleshooting virtual machine instances Familiarity with containerization technologies and troubleshooting containers Familiarity with IPv4 networking and troubleshooting (CCNA equivalent) Basic storage concepts and technologies Experience with monitoring systems Experience scripting in Bash, Python, or Ruby Experience with configuration management systems A passion for good documentation and open communication Proven ability to learn! Compensation Range $123,600 - $154,500 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be part of a cutting edge technology company with an upward trajectory, proud to simplify cloud and AI so builders can create software that changes the world. We prioritize career development. You will work with some of the smartest people in the industry, and we provide resources for growth, such as logs and training. We care about your well being. Flexible time off, Employee Assistance Program, and local meetups support your well being. We reward our employees. The salary range reflects market data, and you may qualify for a bonus and equity compensation. DigitalOcean is an equal opportunity employer. We do not discriminate on any protected class. DigitalOcean is an equal oportunity employer. 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. Application Limit: You may apply to a maximum of 3 positions within any 180 day period.
Senior Cloud Operations Engineer I at DigitalOcean. Join us to build the simplest scalable cloud. If you have a growth mindset, love to think big and bold, and thrive in a fast paced industry disruptor, you'll find your place here. We value winning together - learning, having fun, and making a profound difference for dreamers and builders in the world. We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale. We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Operational Readiness, the Operational Readiness Engineer builds software and processes to improve all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to gaps causing cloud wide disturbances. What You'll Do Ensuring maximum uptime for our global infrastructure Automating processes and building tools to improve operational efficiency Coordinating operational work across teams to improve the platform with minimal impact What You'll Add To DigitalOcean Solid experience with Linux operating systems or networking and day to day upkeep Familiarity with virtualization technologies and troubleshooting virtual machine instances Familiarity with containerization technologies and troubleshooting containers Familiarity with IPv4 networking and troubleshooting (CCNA equivalent) Basic storage concepts and technologies Experience with monitoring systems Experience scripting in Bash, Python, or Ruby Experience with configuration management systems A passion for good documentation and open communication Proven ability to learn! Compensation Range $123,600 - $154,500 This is a remote role Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be part of a cutting edge technology company with an upward trajectory, proud to simplify cloud and AI so builders can create software that changes the world. We prioritize career development. You will work with some of the smartest people in the industry, and we provide resources for growth, such as logs and training. We care about your well being. Flexible time off, Employee Assistance Program, and local meetups support your well being. We reward our employees. The salary range reflects market data, and you may qualify for a bonus and equity compensation. DigitalOcean is an equal opportunity employer. We do not discriminate on any protected class. DigitalOcean is an equal oportunity employer. 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. Application Limit: You may apply to a maximum of 3 positions within any 180 day period.