Degreed is the upskilling platform that fuels growth and innovation through lifelong learning. We bring together everything you need to learn and advance: LMSs, courses, videos, articles, projects, and real-world skill insights, matching you with opportunities that align with your skills, role, and goals.
For businesses, Degreed helps build a culture of learning that attracts, develops, and retains top talent, driving both individual and company success.
We believe learning is the key to unlocking opportunities. Our mission is to discover, empower, and celebrate the next generation of global expertise.
Join us in shaping the future of learning and workforce development!
We are seeking a forward-thinking Senior Full-Stack Engineer to own and lead the development of our new Client-Facing Observability Platform. This platform will provide our clients with deep transparency into integrations, SSO, APIs, and reporting health—and will become a core part of how they trust and operate Degreed.
This is a platform-level role, not just a feature team position. You will help define the technical direction, architecture, and standards for how we capture, process, and present telemetry to enterprise clients.
Unlike traditional engineering roles, we view AI as a strategic partner. We are looking for an engineer who embraces tools like Claude Code, GitHub Copilot, Cursor, or similar assistants to accelerate design, coding, debugging, and documentation. We don’t just allow these tools; we expect you to use them thoughtfully—to improve code quality, iterate on architecture, and deliver value faster while maintaining high standards.
You will transform how our clients experience system reliability by improving observability in key areas such as integrations and reports. You will develop a solution that delivers comprehensive visibility into system components, including:
- Integration Observability: Real-time insights into SSO, webhooks, and API traffic.
- Reporting Health: Visibility into FTP files, report generation pipelines, and job statuses.
- Automated Insights: Infrastructure for future AI assistants, anomaly detection, and custom alerts for our clients.
Key Skills
Experience:
5+ years of professional software engineering experience preferred.
Strong 3–5 year candidates will also be considered, depending on scope and impact of prior work.
Tech Stack Proficiency:
- Strong backend skills in C# / .NET (8+).
- Competence in frontend development with Angular (or React/Vue with a willingness to switch and ramp quickly).
- Solid SQL experience (PostgreSQL/MS SQL) for schema design, performance tuning, and query optimization.
Observability Mindset:
Experience with, or a strong desire to learn, observability tools such as SigNoz, Datadog, Prometheus, or OpenTelemetry. You understand or are eager to learn how logs, metrics, and traces work together to diagnose issues in distributed systems.
AI Adaptability:
A demonstrated track record or strong enthusiasm for using AI tools to enhance productivity. You treat AI as an active collaborator—for exploring designs, generating tests, refactoring code, and documenting systems—while applying strong engineering judgment to validate results.
Learning Agility:
Ability to quickly bridge skill gaps. If you don’t know a specific library or tool, you know how to use documentation and AI assistants to come up to speed quickly and safely.
- Contributions to open source projects, especially in the observability, developer tools, or telemetry space.
- Experience building developer tools, admin dashboards, or analytics products.
- Familiarity with event-driven architectures and data pipelines.
Key Responsibilities
Full-Stack Development
Develop robust backend services using C#/.NET and build intuitive, performant client-facing dashboards using Angular. Ensure the platform scales to support many enterprise customers and large volumes of telemetry data.
Observability Implementation
Integrate open-source observability stacks (specifically OpenTelemetry and SigNoz) to capture traces, metrics, and logs from distributed systems.
Define and champion instrumentation standards, naming conventions, and best practices that other product teams can adopt.
AI-First Engineering
Actively utilize AI coding assistants (Copilot, Cursor, Claude, etc.) to:
- Generate boilerplate and scaffolding
- Write and improve unit/integration tests
- Refactor legacy code safely
- Explore alternative designs
Do this while carefully reviewing, validating, and owning the final solution.
System Architecture
Design scalable RESTful APIs and microservices that can handle high-scale data processing for client integrations and telemetry.
Think in terms of multi-tenant architecture, data modeling for time-series/health data, and resilience.
Help define SLIs/SLOs for the observability platform and integrate them with our monitoring strategy.
DevOps & Reliability
Collaborate with DevOps, SRE, and platform teams on containerization (Docker/Kubernetes) and deployment pipelines to ensure the observability platform is as reliable, secure, and performant as the systems it monitors.
Participate in incident reviews and continuously improve the platform based on real-world issues.
We value practical output over rote memorization. During the evaluation:
- AI Usage is Encouraged: You will be allowed (and encouraged) to use tools like GitHub Copilot, Claude code or similar tools during coding exercises to demonstrate how you leverage them to solve problems efficiently.
Focus: We will assess your ability to prompt, validate AI output, and integrate solutions into a larger architecture.
Benefits
We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success.
View the full details here: https://px.sequoia.com/globalcompanybenefits
🌍 Diversity & Inclusion – We celebrate diverse perspectives and backgrounds, fostering an inclusive environment where everyone can thrive and contribute.
📈 Growth Mindset – Learning is at the heart of what we do. We empower our employees to continuously develop their skills and grow their careers in alignment with their unique strengths and aspirations.
🤝 Collaboration – The best ideas come from working together. We cultivate a culture of open communication, teamwork, and shared success.
By joining Degreed, you’ll be part of a community that values learning, collaboration, and meaningful impact. If you’re passionate about driving change through upskilling and workforce transformation, we encourage you to apply and contribute to our mission.
Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements.
For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively.
We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work.
Degreed is an equal opportunity employer committed to fostering a workplace free from discrimination and harassment. We do not discriminate based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all aspects of employment, including recruitment, hiring, career development, compensation, and training.
💡 Accessibility & Accommodations – We are dedicated to full inclusion and will provide reasonable accommodations for applicants with disabilities throughout the hiring process. If you need assistance, please let us know.
🔍 Fair Hiring Practices – In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records.
📄 E-Verify Participation – Degreed participates in the E-Verify employment verification program.
If you’re applying from specific regions, your personal data may be processed in line with applicable privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). To understand how we handle applicant data, please review our Global Data Privacy Notice and related policies:
• Global Privacy Notice
• DPR Compliance Details
By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws.
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Degreed will never:
❌ Conduct recruitment via WhatsApp, Telegram, or direct-messaging platforms.
❌ Request sensitive personal or financial information in unsolicited communications.
❌ Offer jobs requiring upfront payments or promising unrealistic returns.
✅ Official Degreed communications will always come from a @degreed.com email address or phone number during the hiring process.
If you encounter suspicious activity, please report it immediately. Stay vigilant and protect yourself from fraud.
