• Analyze requirements and propose innovative AI-native solutions to technical problems • Write clean scalable code • Test and deploy features & services • Optimize the performance of our AI systems • Respond to critical system issues and ensure continuous system reliability • Mentor team members and collaborate across teams, especially with product and subject matter experts • Work to understand the needs of our users and think creatively about how to solve design challenges in your work

• Own and scale the Client Portal Notifications System, ensuring reliable, real-time delivery across in-app, push, email, and other channels within Courses, Communities, and GoKollab. • Design and optimize high-throughput, event-driven backend services that process 10M+ notifications daily, maintaining high availability, ordering guarantees, and minimal latency. • Implement features such as multi-channel routing, message deduplication, rate limiting, personalization, and delivery tracking to improve user engagement and system efficiency. • Build robust observability into the notification pipeline—covering monitoring, logging, and distributed tracing—to proactively detect failures and improve delivery success rates. • Ensure data security, privacy compliance (CAN-SPAM, GDPR), and safe storage of user communication preferences and delivery metadata. • Collaborate with product, infrastructure, and frontend teams to design APIs, event schemas, and SDKs that simplify notification integration across all Client Portal products. • Participate in architecture reviews, on-call rotations, and incident retrospectives to uphold operational excellence and continuous improvement.

Role Description We are looking for a Senior BackEnd (Java) Engineer to join Mal team. As our Backend Engineer, you'll design and build the infrastructure that powers our intelligence layer — from real-time APIs and large-scale distributed systems to AI-integrated services. You'll own the architecture behind how our models, data, and products connect — ensuring reliability, scalability, and performance at every layer. What you’ll be responsible for: - Build and scale backend systems and APIs in Java, with a focus on modular, type-safe design. - Architect services for large-scale distributed systems — high throughput, fault tolerance, and horizontal scalability. - Use Terraform or CloudFormation to define and deploy infrastructure as code. - Design event-driven architectures using SNS/SQS, EventBridge, and Kafka for resilient, scalable data flows. - Model and tune data in relational databases (PostgreSQL, MySQL, or Aurora) with strong schema design, indexing, and query optimization. - Integrate AI capabilities — from LLM-based services to retrieval-augmented pipelines — safely and efficiently. - Design APIs that maintain context awareness and state across user sessions. - Implement CI/CD pipelines for automated testing, build, and zero-downtime deployment. - Embed observability — metrics, logs, and traces — into every service you deploy. - Collaborate with AI, data, and product teams to deliver intelligent, adaptive backend systems. Qualifications - 7+ years of experience in backend or cloud engineering, ideally in high-growth or AI-enabled environments. - Deep understanding of Java, the JVM, concurrency, and distributed design patterns. - Strong experience building large-scale distributed systems — handling high traffic, replication, and consistency trade-offs. - Hands-on expertise with event-driven systems, relational databases, and distributed system design. - Solid grasp of CI/CD principles, TDD/BDD, and infrastructure automation. - Familiarity with AI integrations — connecting APIs to LLMs or context-aware services. - Strong debugging, profiling, and optimization skills for cloud-native environments. - Pragmatic problem-solver with an eye for clean design, reusability, and long-term maintainability. Requirements - Bonus points if you have built retrieval-augmented or context-aware APIs integrating AI or data enrichment layers. - Contribute to open-source backend or infrastructure projects. - Bring experience in blue/green deployments, feature flags, or canary release strategies. - Have deep familiarity with observability stacks (OpenTelemetry, CloudWatch, structured logging). - Care about building infrastructure that's not only fast — but ethical, secure, and transparent. Benefits - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - 11+ fully paid public holidays. - Compensation for health insurance and sport club membership. - Ability to work from home or remotely.

• Designing, developing, testing, maintaining, and supporting secure, scalable, and robust data solutions. • Collaborating on the development of data solutions. • Developing basic to complex Python code & designs to maintain new and existing technology systems following company standards. • Accountable to develop and deliver technical documentation. • Undergoing peer code and design reviews to ensure stable and high-quality production-ready code. • Building and maintaining data solutions that meet or exceed industry regulatory requirements. • Ensuring compliance with established SDLC frameworks, including requirements gathering, analysis, design, development, testing, release management, and deployment. • Ensuring compliance with all the audit and security requirements of the company. • Participating and following established Agile standards (including attending all Agile events) to create a collaborative and efficient development environment and meet project goals and delivery dates. • Leading a team with meeting project commitments, such as project goals, objectives, and corresponding delivery dates. • Providing engineering leadership and mentorship to junior level engineers. • Fostering innovation to improve on existing challenges and to realize new opportunities. • Collaborating with Architects to develop and review intended solutions. • Traveling as needed to perform position responsibilities. • Availability to be on-call as needed. • Performing other duties as assigned.