Senior Java Engineer

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.. About the role Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - Kubernetes, Docker, etc.  We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.  Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What You'll Be Doing * Collaborate closely with cross-functional teams (Product, Design, and QA) to conceptualize, design, and deliver high-impact features. * Architect and build scalable, high-performance backend services using Java and Spring Boot. * Produce clean, maintainable, and well-documented code with a strong emphasis on reliability and testability. * Seamlessly integrate third-party services and APIs, ensuring robust error handling and graceful degradation. * Continuously enhance system performance and developer experience through thoughtful automation and refactoring. * Diagnose and resolve complex issues across the stack while proactively identifying opportunities for technical improvements. * Actively contribute to code reviews and architecture discussions, promoting engineering best practices across the team. * Maintain clear documentation of technical decisions, systems, and processes to support transparency and long-term scalability. What We're Looking For * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline. * 5+ years of hands-on professional experience in software engineering, with a strong emphasis on backend development. * Deep expertise in Java and Spring Boot, with a solid grasp of modern backend architecture and engineering best practices. * Proven experience designing, building, and scaling web services, RESTful APIs, and distributed systems. * Working knowledge of Agile development methodologies and CI/CD pipelines. * Strong proficiency with relational databases and ORM frameworks (e.g., Hibernate). * Exposure to frontend technologies such as AngularJS or React is a plus. * Excellent debugging and troubleshooting abilities, with a structured approach to problem-solving. * Strong communication skills and a collaborative, team-first mindset. Our Tech Stack As part of our engineering team, you’ll work with modern technologies and tools that enable us to build scalable, reliable, and high-performing systems. Some of the technologies you’ll be hands-on with include * Java (latest versions): Powers our core backend systems with a strong emphasis on performance, scalability, and maintainability. * Spring & Spring Boot: Enables the development of modular, production-ready microservices with robust dependency management. * Docker & Kubernetes: Supports containerized deployments and orchestration, ensuring consistent and scalable environments across development, staging, and production. * PostgreSQL & DynamoDB: Leverages both relational and NoSQL databases to efficiently manage structured data and dynamic scaling requirements. * Elasticsearch: Delivers fast, flexible full-text search and real-time analytics across large datasets. * AWS Cloud Infrastructure: Facilitates cloud-native deployment and management of microservices designed for high availability and global scalability. What we can offer you * Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave, plus other benefits. What to expect in the hiring process Our interview process is designed to be thoughtful, transparent, and candidate-friendly, allowing you to showcase your strengths while getting to know us better: * Initial Conversation: A brief introductory call with our recruiter to learn more about your background, career goals, and to share insights about the role and our team. * Technical Assessment: A practical, take-home coding exercise that reflects real-world challenges. You'll have ample time to complete this in your own environment * Deep Dive Technical Interview: A focused session with our Engineering Team, where we'll explore system design, architecture, and problem-solving approaches. * Final Interview: A combined technical and behavioural conversation with a member of our Executive Team, aimed at understanding your alignment with our values, vision, and culture Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. #LI-Remote

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc.  We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.  Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What You'll Be Doing * Collaborate with cross-functional teams (product, design, QA) to define, design, and ship high-impact features. * Design scalable architecture and implement performant backend services using Java and Spring Boot. * Write clean, maintainable, and well-documented code with a strong focus on reliability and testability. * Integrate third-party services and APIs while ensuring robust error handling and graceful degradation. * Continuously improve system performance and developer experience through automation and refactoring. * Debug complex issues across the stack and proactively identify opportunities for technical improvement. * Participate in code reviews, architecture discussions, and share best practices with the team. * Document technical decisions, systems, and processes for future team reference and transparency. What We're Looking For * BS/MS in Computer Science, Engineering, or a related technical field. * At least 5+ years of professional experience in software engineering, with a strong focus on backend systems. * Expertise in Java and Spring Boot; solid understanding of modern backend architecture and best practices. * Experience building and scaling web services, APIs, and distributed systems. * Familiarity with Agile development methodologies and CI/CD pipelines. * Proficient with relational databases and ORM frameworks (e.g., Hibernate). * Exposure to frontend frameworks like AngularJS or React is a plus. * Strong debugging skills and a methodical approach to problem-solving. * Excellent communication skills and a team-first attitude. Our Tech Stack As part of our engineering team, you’ll work with modern technologies and tools that enable us to build scalable, reliable, and high-performing systems. Some of the technologies you’ll be hands-on with include * Java (latest versions): Powering our core backend systems with a focus on performance and maintainability. * Spring & Spring Boot: Building modular, production-grade microservices with robust dependency management. * Docker & Kubernetes: Containerized deployments and orchestration for consistent, scalable environments across dev, staging, and production. * PostgreSQL & DynamoDB: A combination of relational and NoSQL databases to handle structured data and dynamic scaling needs. * Elasticsearch: For fast, flexible full-text search and analytics across large datasets. * AWS Cloud Infrastructure: Deploying and managing microservices using a cloud-native architecture that supports global scalability. What we can offer you * Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave plus other benefits. What to expect in the hiring process Our interview process is designed to be thoughtful, transparent, and candidate-friendly, allowing you to showcase your strengths while getting to know us better: * Initial Conversation: A brief introductory call with our recruiter to learn more about your background, career goals, and to share insights about the role and our team. * Technical Assessment: A practical, take-home coding exercise that reflects real-world challenges. You'll have ample time to complete this in your own environment * Deep Dive Technical Interview: A focused session with our Engineering Team, where we'll explore system design, architecture, and problem-solving approaches. * Final Interview: A combined technical and behavioural conversation with a member of our Executive Team, aimed at understanding your alignment with our values, vision, and culture Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Prolific

SENIOR DATA ENGINEER       Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for a Senior Data Engineer to help build scalable data solutions that serve teams across the business – from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud native environment where privacy, security, and good data practices are part of how we build. What you’ll bring to the role * Technical Expertise: 3+ years building and shipping production grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.) * Familiarity with cloud-native infrastructure - ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters. * Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. * A thoughtful approach to data quality, privacy, and security - you understand that how data is used is as important as how it's moved. * Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product. * A pragmatic, curious mindset - you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works. * Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability. * Quality Focus: Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews. * Documentation: Meticulous approach to creating and maintaining architecture and systems documentation. * Problem-Solving: Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions. * Independence: Capability to ship medium features independently while contributing to the team's overall objectives. What you’ll be doing in the role  * Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications - from internal databases, SaaS sources, and streaming systems through to the teams and services that consume them. * Evolve our data platform alongside cloud platform engineers, using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve. * System Architecture: Design and implement scalable data infrastructure that accommodates our growing data volume and complexity. * Develop data services and APIs that expose trusted data to product applications, bridging analytical and operational systems. * Own data quality and observability, putting monitoring, testing, and alerting in place so issues are caught early and trust in the data stays high. * Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs and design the right solutions – not just the quickest ones. * Uphold strong data privacy, security, and compliance practices in everything you build, particularly where data flows into product-facing contexts. * Technical Documentation: Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing. * Security and Compliance: Ensure all data systems adhere to security best practices and compliance requirements. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits  External Handbook  Website  Youtube  Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.