DigitalOcean is welcoming a new technical engineering manager to support our engineers, grow our culture, and lead the team developing our managed Observability product offering. This person will be responsible for guiding the development of a mixed-skill engineering team, facilitating communications, providing clarity of vision and priority, and empowering the team to create creative solutions for our DigitalOcean customers.
The Insights team’s mission is to simplify the observability experience so DO customers can focus on building and operating their applications to Get Growing.
We are excited to meet candidates who share our passions for technology solutions, healthy services, and being loving service providers, team members, and leaders.
What You'll Be Doing:- Lead, mentor, and grow a high-performing, distributed team of 6-8 engineers on the Insights team.
- Provide technical vision and architectural leadership for our large-scale Customer facing Observability platform.
- Partner with product managers, designers, and other engineering teams to define the product roadmap and deliver a world-class observability experience.
- Champion Site Reliability Engineering (SRE) principles to ensure the reliability, scalability, and performance of our services.
- Drive the execution and delivery of high-quality software in a fast-paced, agile environment.
- Contribute to the broader engineering strategy at DigitalOcean, fostering a culture of innovation and continuous improvement.
- Significant experience in a software engineering management role, with a proven track record of leading and developing engineering teams.
- Deep, hands-on experience with the full observability stack and a strong understanding of its core pillars: metrics, logs, and traces.
- Practical experience with open-source observability tools such as Prometheus, Grafana, Loki, Jaeger, or similar technologies.
- Experience in designing, building, and operating highly available, large-scale distributed systems.
- Familiarity with defining and tracking Service-Level Indicators (SLIs) and Service-Level Objectives (SLOs) to maintain service health.
- Knowledge of various instrumentation techniques for applications and infrastructure to generate meaningful telemetry.
- A strong background in software development and cloud-native technologies; proficiency in Go is a plus.
- A customer-centric mindset with the ability to translate complex user needs into technical requirements.
- 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 $170,000 - $200,000 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.
- We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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.
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What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
