---
title: 'Senior Software Engineer II, Managed Databases at DigitalOcean'
canonical: 'https://feeny.ai/job/senior-software-engineer-ii-managed-databases-digitalocean-denver-pfzpb89704pt'
type: 'job'
last_seen: '2026-11-10'
---

# Senior Software Engineer II, Managed Databases at DigitalOcean

- **Company:** DigitalOcean
- **Location:** Denver, CO
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-11-10
- **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=8256139

## Job description

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 Software Engineer II to join our Managed Databases (DBaaS) engineering organization. Managed Databases delivers fully managed Postgres, MySQL, and related database services so customers can run production data workloads—and increasingly AI inference and data-intensive applications—without operating clusters themselves.

In this high-impact IC4 role, you will apply advanced subject-matter expertise across distributed control planes, database platform infrastructure, and production reliability. You will bridge product and system requirements with concrete architecture, lead complex technical projects across DBaaS and adjacent platform boundaries (e.g., Networking, Droplets, Storage, engine teams), and mentor engineers to elevate standards on the team. You should be comfortable independently moving from ambiguous problems to design, implementation, launch, and long-term operation.

## What You’ll Do

- Architect and implement DBaaS platform systems: Design and build scalable control-plane and infrastructure components that improve throughput, multi-region operability, and reliability for managed database workloads.
- Turn ambiguous requirements into deliverable architecture: Deconstruct customer and system needs into clear technical designs and workstreams that drive predictable delivery with product and engineering partners.
- Own performance and resiliency outcomes on your services: Improve resource utilization, fault tolerance, and availability—using profiling and targeted changes against I/O, CPU, and network bottlenecks under real production load.
- Strengthen lifecycle capabilities: Ship improvements to automated failover, continuous backups, point-in-time recovery (PITR), and maintenance workflows so clusters handle higher data volumes and tighter SLAs.
- Scale for data-heavy and AI-adjacent demand: Expand and harden control-plane and infrastructure pieces that support compute-heavy and high-concurrency customer workloads.
- Raise the team engineering bar: Guide technical decisions for engineers on the squad through design and code reviews; contribute clear design docs for the initiatives you lead.
- Mentor team members: Coach engineers through technical guidance, architectural reviews, and code-quality standards to accelerate growth and execution velocity.
- Operate what you build: Establish observability, failover, and recovery practices; participate in on-call; turn incident learnings into durable platform improvements.

## What You’ll Bring

- Experience: 8+ years of professional software engineering experience building and operating large-scale distributed systems or data-plane/control-plane infrastructure (SaaS/PaaS or equivalent).
- Production depth: Proven track record diagnosing and solving complex, high-concurrency engineering problems in production cloud environments.
- Database platform fluency: Working knowledge of relational database engine internals—specifically PostgreSQL and/or MySQL—including query performance, replication, and scale (preferred).
- Distributed systems mastery: Strong understanding of concurrency, failure modes, multi-region concerns, and performance optimization in production Linux/cloud environments.
- Scale for data & AI workloads: Experience scaling services for compute, memory, and networking demands of data-intensive or AI inference-adjacent workloads (preferred).
- Collaboration & mentorship: Track record of driving complex cross-team technical projects, mentoring engineers, and communicating tradeoffs clearly with partners and leadership.
- Growth mindset: Appetite for feedback and a “leave it better than you found it” approach to architecture and maintainability.

Compensation Range:

- $167,200 - $209,000

*This is a remote role

JR: 2026-8312

#LI-Remote

## Why You’ll Like Working for DigitalOcean

- We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
- We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
- We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

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.

## About DigitalOcean

## Company Overview
- **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services.
- **Entity Type**: Public (NYSE: DOCN)
- **Headquarters**: New York, NY, USA
- **Founded**: 2012
- **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer

## Core Business
- **Primary industry**: Cloud computing, AI infrastructure
- **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises)
- **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about)

## Products & Services
- **Droplet**: Simple, scalable virtual machines for any workload.
- **Managed Kubernetes**: Container orchestration with easy management.
- **App Platform**: Fully managed platform for building, deploying, and scaling apps.
- **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/)
- **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees.
- **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN)
- **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
- **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials.
- **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview.

## Competitive Advantages
- **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers.
- **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees.
- **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/)
- **Community**: Strong open-source and developer community contributions.

## Strategic Focus
- Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications.
- Expanding inference and managed agent capabilities to attract digital native enterprises.
- Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion.

## Why Work Here
- **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big.
- **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP).
- **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection.
- **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities.
- **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell.

## Sources
1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers)
2. [DigitalOcean About Page](https://www.digitalocean.com/about)
3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/)
4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
5. [DigitalOcean Open Roles](https://www.digitalocean.com/careers/open-roles)

## Other roles at DigitalOcean

- [Senior Data Center Engineer - Alpharetta, GA](https://feeny.ai/job/senior-data-center-engineer-alpharetta-ga-digitalocean-alpharetta-pjjcnh54gyjm) — Alpharetta, GA
- [Director, Sales](https://feeny.ai/job/director-sales-digitalocean-new-york-5nwss1gbw200) — New York, NY
- [Director, Sales](https://feeny.ai/job/director-sales-digitalocean-san-francisco-q1kd7ga5nbct) — San Francisco, CA
- [Senior Data Center Engineer - Atlanta](https://feeny.ai/job/senior-data-center-engineer-atlanta-digitalocean-atlanta-bsq0ncbjt28m) — Atlanta, GA
- [Senior Data Center Engineer - Kansas City](https://feeny.ai/job/senior-data-center-engineer-kansas-city-digitalocean-kansas-city-683y5fw4aypa) — Kansas City, MO
- [Senior Data Center Engineer - Wenatchee](https://feeny.ai/job/senior-data-center-engineer-wenatchee-digitalocean-wenatchee-wgwnqs2t2m0s) — Wenatchee, WA
- [Senior Data Center Engineer - Richmond](https://feeny.ai/job/senior-data-center-engineer-richmond-digitalocean-richmond-cx3rpery04dz) — Richmond, VA
- [Senior Data Center Engineer - Memphis](https://feeny.ai/job/senior-data-center-engineer-memphis-digitalocean-memphis-wdptn4staz1k) — Memphis, TN
- [Data Center Manager - Richmond](https://feeny.ai/job/data-center-manager-richmond-digitalocean-richmond-vr16g21tyhn7) — Richmond, VA
- [Data Center Manager - Kansas City](https://feeny.ai/job/data-center-manager-kansas-city-digitalocean-kansas-city-r78ek8e5hjr4) — Kansas City, MO