
51 - 200 employees
Founded 2013
🤝 B2B
📚 Education
☁️ SaaS
💰 $100k Debt Financing on 2018-05
B2B • Education • SaaS
Almabase is a company that provides a digital engagement platform designed to maximize donor participation and streamline event management for educational institutions. Their services include an alumni directory, job board, mentorship programs, business directory, and tools for personalized communication and gift data management. By integrating with CRMs like Raiser’s Edge, Almabase helps clients maintain a consistent data set, turning constituents into active donors through tailored strategies for alumni engagement and fundraising.
🕒 April 13
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51 - 200 employees
Founded 2013
🤝 B2B
📚 Education
☁️ SaaS
💰 $100k Debt Financing on 2018-05
B2B • Education • SaaS
Almabase is a company that provides a digital engagement platform designed to maximize donor participation and streamline event management for educational institutions. Their services include an alumni directory, job board, mentorship programs, business directory, and tools for personalized communication and gift data management. By integrating with CRMs like Raiser’s Edge, Almabase helps clients maintain a consistent data set, turning constituents into active donors through tailored strategies for alumni engagement and fundraising.
• Ensuring Data Integration with Third-Party CRMs: Design and own solutions that integrate customer data seamlessly and reliably with various CRM systems. • Enhancing Event and Fundraising Management Tools: Drive improvements to our event and fundraising tools, with a focus on reliability and scale. • Owning Payment and Communication Systems: Take end-to-end ownership of systems that handle payments and user communications, including resilience and failure handling. • Maintaining and Improving System Uptime: Lead reliability efforts in your areas of ownership, proactively identifying and resolving issues before they impact customers. • Own Features End-to-End: Design, build, and maintain features independently — from requirements to production — with minimal supervision. • Drive System Reliability: Proactively identify performance bottlenecks, reliability risks, and scalability gaps and address them systematically. • Debug Production Issues Independently: Investigate and resolve complex production issues using logs, metrics, and structured debugging approaches. • Code Review and Quality: Conduct and participate in code reviews, raise the quality bar, and help define good engineering practices within the team. • Collaborate Cross-Functionally: Work closely with product managers, designers, and other engineers to deliver high-quality software that meets user needs. • Contribute to Architecture: Participate actively in design discussions, propose solutions to technical problems, and think through trade-offs clearly. • Continuous Improvement: Stay current with engineering best practices and apply that knowledge to improve the systems you own.
• 3–4 years of full-time software engineering experience • Hands-on experience with backend development in Java, Python or Go • Experience with frontend development using React or similar frameworks • Strong understanding of HTTP, REST APIs, and client–server architecture • Experience designing data models and writing complex SQL queries • Proven ability to build and own distributed systems or microservices in production • Experience designing APIs and backend systems for scale • Ability to debug and resolve complex production issues independently • Hands-on experience with performance tuning — query optimisation, caching strategies, and async processing • Experience using Git, writing tests, and participating in code reviews • Comfortable working with minimal supervision and taking ownership of outcomes. • Experience with Redis or similar in-memory data stores for rate limiting, caching, or queuing • Familiarity with observability tools — metrics, distributed tracing, alerting (e.g. Datadog, Sentry, Prometheus) • Exposure to database sharding, partitioning, or replication • Experience with background job systems, message queues, or event-driven architecture (e.g. Celery, RabbitMQ, SQS) • Prior experience in a SaaS product environment • Curiosity about how systems fail at scale and how to design around those failure modes.
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