DigitalOcean
Software Engineer II (Growth) – DigitalOcean
Join a dynamic team dedicated to revolutionizing cloud computing and AI. As a Software Engineer II, you will be part of the Growth R&D engineering team, reporting to the Engineering Manager of Growth, and collaborating with cross‑functional partners to ship high‑impact product experiences and experiments.
What You’ll Do
Design, develop, and ship large‑scale multi‑product experiences across the DigitalOcean Cloud Console, primarily using React, TypeScript, GraphQL, and Go.
Own the full lifecycle of growth experiments—hypothesis formulation, implementation, statistical analysis, and iteration—to drive incremental improvements in 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 applications 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.
What You’ll Add To DigitalOcean
Bachelor’s and/or Master’s degree in Computer Science or equivalent practical experience.
2+ years of hands‑on experience as a full‑stack 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 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; you think from the customer’s perspective and balance 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
$109,920 – $137,280 (remote role)
Why You’ll Like Working for DigitalOcean
We innovate with purpose: simplify cloud and AI so builders can create software that changes the world.
We prioritize career development with opportunities for growth and learning.
We care about your well‑being with competitive benefits and flexible policies.
We reward our employees with competitive salaries, bonuses, equity, and an employee stock purchase program.
DigitalOcean is an equal‑opportunity employer; we do not discriminate on the basis of race, religion, color, ancestry, national origin, gender, sexual orientation, age, disability, or any other protected status.
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What You’ll Do
Design, develop, and ship large‑scale multi‑product experiences across the DigitalOcean Cloud Console, primarily using React, TypeScript, GraphQL, and Go.
Own the full lifecycle of growth experiments—hypothesis formulation, implementation, statistical analysis, and iteration—to drive incremental improvements in 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 applications 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.
What You’ll Add To DigitalOcean
Bachelor’s and/or Master’s degree in Computer Science or equivalent practical experience.
2+ years of hands‑on experience as a full‑stack 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 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; you think from the customer’s perspective and balance 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
$109,920 – $137,280 (remote role)
Why You’ll Like Working for DigitalOcean
We innovate with purpose: simplify cloud and AI so builders can create software that changes the world.
We prioritize career development with opportunities for growth and learning.
We care about your well‑being with competitive benefits and flexible policies.
We reward our employees with competitive salaries, bonuses, equity, and an employee stock purchase program.
DigitalOcean is an equal‑opportunity employer; we do not discriminate on the basis of race, religion, color, ancestry, national origin, gender, sexual orientation, age, disability, or any other protected status.
#J-18808-Ljbffr