DigitalOcean
Join to apply for the
Software Engineer II (Growth)
role at
DigitalOcean .
Dive into an opportunity where you can build high-impact product experiences and drive growth through experimentation and data-driven innovation.
What You'll Do
Design, develop, and ship large-scale multi-product experiences across our Cloud Console, primarily using React, TypeScript, GraphQL, and Go.
Own the full lifecycle of growth experiments, from hypothesis formulation and implementation to statistical analysis and iteration, driving incremental improvements to activation metrics.
Leverage AI tools strategically in your development workflow to accelerate feature delivery while maintaining code quality, security, and best practices.
Collaborate closely with Product, UX Design, and engineering partners across multiple organizations to deliver customer-facing features that drive measurable business outcomes.
Contribute to operational excellence by improving our app and control plane platforms, architecture, and monitoring systems.
Champion data-driven experimentation and A/B testing methodologies across the team, sharing insights and learnings to elevate our experimentation practice.
Key Metrics
Activation rate improvement through shipped experiments and features.
Experiment velocity and quality (hypothesis clarity, statistical rigor, iteration speed).
Feature delivery timelines and technical quality.
Cross-functional collaboration effectiveness.
Contribution to platform improvements and operational excellence.
Qualifications
Bachelor's and/or Master's degree in Computer Science or equivalent practical experience.
2+ years of hands-on experience as a Fullstack Software Engineer in a fast-paced, high-growth tech environment building customer-facing products.
Strong proficiency in modern full-stack technologies, particularly React, TypeScript, JavaScript, Node.js, GraphQL, Go, and/or Python.
Demonstrated experience with experimentation frameworks: designing hypotheses, implementing A/B tests, analyzing results for statistical significance, and making data-informed product decisions.
Experience using AI-powered development tools (e.g., GitHub Copilot, Cursor) in professional settings, with examples of how you have safely accelerated your workflow while maintaining quality and security standards.
Understanding of AI tool governance and best practices, including code review processes, security considerations, and appropriate use cases for AI assistance.
Strong product sense and UX intuition, balancing user experience with technical constraints.
Analytical mindset with experience interpreting metrics, conducting A/B test analysis, and translating data insights into product improvements.
Ability to make effective trade-offs between engineering excellence and product velocity, balancing short-term delivery with long-term technical health.
Excellent collaboration and communication skills, with the ability to work effectively across technical and non-technical stakeholders.
Compensation Range
$91,600 - $114,400
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose and are dedicated to simplifying cloud and AI to empower builders worldwide.
We prioritize career development with resources for growth, including conference reimbursements, training, and access to continuous learning platforms.
We care about your well-being, offering a competitive benefits package and flexible time off.
We reward employees with a competitive package, potential bonuses, equity, and stock purchase program participation.
DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, gender identity, sexual orientation, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
#J-18808-Ljbffr
Software Engineer II (Growth)
role at
DigitalOcean .
Dive into an opportunity where you can build high-impact product experiences and drive growth through experimentation and data-driven innovation.
What You'll Do
Design, develop, and ship large-scale multi-product experiences across our Cloud Console, primarily using React, TypeScript, GraphQL, and Go.
Own the full lifecycle of growth experiments, from hypothesis formulation and implementation to statistical analysis and iteration, driving incremental improvements to activation metrics.
Leverage AI tools strategically in your development workflow to accelerate feature delivery while maintaining code quality, security, and best practices.
Collaborate closely with Product, UX Design, and engineering partners across multiple organizations to deliver customer-facing features that drive measurable business outcomes.
Contribute to operational excellence by improving our app and control plane platforms, architecture, and monitoring systems.
Champion data-driven experimentation and A/B testing methodologies across the team, sharing insights and learnings to elevate our experimentation practice.
Key Metrics
Activation rate improvement through shipped experiments and features.
Experiment velocity and quality (hypothesis clarity, statistical rigor, iteration speed).
Feature delivery timelines and technical quality.
Cross-functional collaboration effectiveness.
Contribution to platform improvements and operational excellence.
Qualifications
Bachelor's and/or Master's degree in Computer Science or equivalent practical experience.
2+ years of hands-on experience as a Fullstack Software Engineer in a fast-paced, high-growth tech environment building customer-facing products.
Strong proficiency in modern full-stack technologies, particularly React, TypeScript, JavaScript, Node.js, GraphQL, Go, and/or Python.
Demonstrated experience with experimentation frameworks: designing hypotheses, implementing A/B tests, analyzing results for statistical significance, and making data-informed product decisions.
Experience using AI-powered development tools (e.g., GitHub Copilot, Cursor) in professional settings, with examples of how you have safely accelerated your workflow while maintaining quality and security standards.
Understanding of AI tool governance and best practices, including code review processes, security considerations, and appropriate use cases for AI assistance.
Strong product sense and UX intuition, balancing user experience with technical constraints.
Analytical mindset with experience interpreting metrics, conducting A/B test analysis, and translating data insights into product improvements.
Ability to make effective trade-offs between engineering excellence and product velocity, balancing short-term delivery with long-term technical health.
Excellent collaboration and communication skills, with the ability to work effectively across technical and non-technical stakeholders.
Compensation Range
$91,600 - $114,400
This is a remote role.
Why You’ll Like Working for DigitalOcean
We innovate with purpose and are dedicated to simplifying cloud and AI to empower builders worldwide.
We prioritize career development with resources for growth, including conference reimbursements, training, and access to continuous learning platforms.
We care about your well-being, offering a competitive benefits package and flexible time off.
We reward employees with a competitive package, potential bonuses, equity, and stock purchase program participation.
DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, gender identity, sexual orientation, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
#J-18808-Ljbffr