Technical Architect

Responsibilities:

• Lead and mentor a team of 5-8 senior engineers across AI, Salesforce, and full-stack development.
• Drive technical strategy and architectural decisions, including backend, API design, and system design for EDMO's product portfolio.
• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular.
• Define and implement telemetry, observability, and monitoring standards (logging, tracing, and alerting) across services.
• Foster a culture of innovation, continuous learning, and technical excellence.
• Manage sprint planning, code reviews, and technical delivery timelines.
• Collaborate closely with product management and design teams.
• Guide technical hiring and team scaling decisions.
• Ensure code quality, security, and performance standards.
• Lead technical discussions with university clients and stakeholders.
• Drive adoption of best practices, tools, and development methodologies.

Requirements:

• 10+ years of software development experience with 6+ years in backend development.
• Must have: Proven track record of leading high-performing technical teams.
• Must have: Experience energizing and motivating senior engineers to achieve exceptional results.
• Experience with Agile/Scrum methodologies and DevOps practices.
• Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.
• Experience with performance management, career development, and team building.
• Strong problem-solving skills and ability to make decisions under pressure.

Technical Stack Must-Have:

• Node.js and NestJS production-grade backend services, microservices, and API design.
• TypeScript (good to have).
• React or Angular front-end development and component architecture.
• Backend and system architecture designing scalable, maintainable, distributed systems.
• Telemetry and monitoring hands-on experience with logging frameworks, distributed tracing (e. g., OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines.
• Cloud platforms: GCP preferred; AWS or Azure acceptable.
• Databases: PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing.
• CI/CD: GitHub Actions, Cloud Build, or equivalent pipelines.

Additional Technical Background:

• Strong background across multiple domains: AI/ML integration, web development, and cloud-native architecture.
• Microservices patterns, API gateway design, event-driven architecture.

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies.
• Background in AI/ML or emerging technologies.
• Experience scaling engineering teams from startup to growth stage.
• Knowledge of the Salesforce ecosystem and integrations.
• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE).
• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks).
• MBA or advanced degree in technology or business.
• Track record of successful product launches and customer implementations.
• Experience working with US-based clients and distributed teams.

Leadership Philosophy We Seek:

• Servant Leadership: Empowering team members to achieve their best work.
• Technical Excellence: Setting high standards while maintaining development velocity.
• Growth Mindset: Continuously learning and helping others grow.
• Results-Oriented: Delivering measurable business outcomes through technology.
• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment.