Role Description We’re looking for a backend-heavy full-stack developer to partner with a design-first founder building custom software for service-industry clients. The current projects are mostly B2B workflow apps: - Dashboards - Intake flows - Technician/admin portals - QR-code-based forms - Status tracking - Photo/documentation workflows - Client-specific tools - Lightweight integrations The ideal person is a technical build partner who can: - Take a clear prototype and spec - Design the backend architecture - Build the Supabase infrastructure - Connect the frontend - Push back when something should be done differently The first engagement will likely start with a smaller QR-code workflow app for service companies, with potential to grow into larger projects and a long-term collaboration. Responsibilities - Design and build backend infrastructure using Supabase, PostgreSQL, Auth, RLS, Storage, Realtime, and Edge Functions. - Create clean database schemas with proper relationships, indexes, constraints, and migration planning. - Write secure Row Level Security policies for user-facing tables. - Set up authentication flows, permissions, sessions, and access logic where needed. - Build TypeScript/Deno Edge Functions for business logic, webhooks, scheduled jobs, and API integrations. - Integrate third-party tools such as Stripe, Twilio, OpenAI, SendGrid/Resend, Zapier/Make, or client-specific APIs. - Connect React/Tailwind frontends to the backend and help bridge the handoff between UI and infrastructure. - Review existing backend work and suggest improvements without overcomplicating the product. - Help turn prototypes into stable, scalable, production-ready applications. Qualifications - 3–6+ years of experience building production full-stack or backend-heavy web applications. - Deep hands-on experience with Supabase, including real shipped apps using RLS, Edge Functions, and Auth. - Strong PostgreSQL fundamentals: schema design, indexes, query optimization, constraints, and ability to read an EXPLAIN plan. - TypeScript / Node / Deno competence for building backend logic and Edge Functions. - Strong security instincts: RLS, input validation, permissions, and secrets management should be part of your default approach. - Clear written and spoken English for async handoff, documentation, and weekly Google Meet syncs. - Self-directed working style: able to take a spec doc and prototype, move independently, and surface questions in batches. - Strong communication skills, including the ability to explain tradeoffs and push back constructively when a better technical path exists. - A portfolio, case study, clickable prototype, or live/repo link that shows how you think and build. Nice to have - Experience with third-party API integrations such as Stripe, Twilio, OpenAI, SendGrid/Resend, Make/Zapier, or client-specific tools. - Comfort with React + Tailwind so you can help wire frontends to the backend. - Experience with service-industry tools, such as CRMs, scheduling systems, operations dashboards, intake forms, or field-service workflows. - A point of view on workflow and process design, including state flows, approval chains, dashboards, or operational logic. Benefits - Long-term, ongoing contractor relationship — not a one-off project. - Remote work, with LATAM timezone overlap preferred. - Flexible part-time setup: starting around a 10-hour weekly retainer, with potential to grow depending on fit and project flow. - High ownership and influence over technical direction. - Collaborative, low-bureaucracy environment.

Role Description Claritas Rx has a data pipeline and software modules for ingesting, validating, mastering, analyzing, and reporting on complex health care data. The software transforms disparate data into actionable, meaningful insights for our customers. You will be a critical member of an engineering team that is building a unique healthcare software solution. As a Senior QA Engineer, you will establish and implement the Quality Assurance strategy for Claritas Rx. Key Accountabilities - Develop Quality Assurance strategy for Claritas Rx - Develop test plans, test data and test cases for new features, end-to-end system tests and regression tests - Execute all tests - Automate unit tests, on path to CI/CD - Test for production quality, both pre & post deployment - Work with development, product and customer teams to research existing data issues and suggest solutions - Verify the quality of data, ensure incoming data matches existing data specifications, verify functionality and data output against requirements, using complex SQL scripts as needed - QA review queries created by developers for adherence to standards and performance issues - Report on testing status, milestones and issues to project stakeholders - Support off-hours launch and monitoring of systems with teams as needed Qualifications - Experience in setting up and maintaining QA Environment and Test Data Management - Experience in system testing, regression testing, functional testing, black box testing and white box testing - Experience with automated end-to-end testing tools/frameworks - Good SQL experience querying and extracting data from databases - Basic programming skills in Python - Data concepts (ETL, data structures, metadata and workflow management) - Solving complex data and technology problems - Experience working with data integration tools like Talend - Experience working with cloud platforms like AWS - Ability to work in a fast paced, dynamic and team-oriented environment - Excellent communication skills Requirements - B.S. in computer science, engineering or related degree Benefits - Competitive salary of $115,000 to $130,000 - Benefits package - Opportunity to make a significant impact on a first-in-industry digital health solution

Role Description Data engineering at Paystack focuses on building and extending platforms for managing data at scale. This involves data ingestion, processing, storage and egress. Data engineers are also responsible for creating and maintaining the infrastructure our data platforms run on. Data engineers operate across a diverse tech stack. They are expected to be adaptable and drawn to learning new skills and technologies. The role requires a proactive individual who can work independently and collaboratively within a remote-first environment, has a strong software engineering background with good experience building and maintaining data pipelines, expertise in Python and experience in streaming technologies. Key Responsibilities - Data Pipeline Development: - Design, develop, and maintain robust data pipelines using ETL and ELT methodologies to process and integrate data from various sources into a data lake, a central data warehouse, operational data stores, analytical data marts and various application interfaces. - Streaming Data Processing: - Implement and manage real-time data streaming solutions utilising Kafka, Debezium, Kafka Connect. - Workflow Orchestration: - Build, schedule and maintain custom workflows using Apache Airflow to ensure timely and accurate data processing and delivery. - Database Management: - Work with a variety of database technologies, including relational databases (MySQL, PostgreSQL), NoSQL databases (MongoDB) and analytical/big data systems (Redshift, BigQuery, SingleStore). - Infrastructure as Code: - Employ tools like Terraform, Kubernetes, and Helm to manage and provision infrastructure efficiently. - CI/CD Implementation: - Develop and maintain continuous integration and deployment pipelines to streamline development processes. - Testing and Quality Assurance: - Conduct unit and integration testing to ensure high code quality, data integrity and system reliability. - Collaboration: - Engage with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions. - Documentation: - Maintain clear and comprehensive documentation of data processes, workflows and systems. - Monitoring and Support: - Monitoring system performance and addressing faults and failures in production systems as part of an on-call rotation. Qualifications - Bachelor's degree in Computer Science, Engineering or a related field. - Proficiency in Python is essential. JavaScript and Scala development experience is advantageous. - Minimum of 3 years of experience in data engineering roles, with a focus on building and managing data pipelines. - Minimum of 2 years experience in software and/or application development roles (can be concurrent with data engineering experience). - Hands-on experience with Kafka, Debezium, and Kafka Connect. - Proficiency in a data pipeline orchestration tool or suitable workflow orchestration tool like Apache Airflow (preferred), Databricks, Dagster or Airbyte. - Strong understanding and hands-on experience working with various database technologies, including MySQL, PostgreSQL, MongoDB and Redshift (BigQuery and SingleStore advantageous). - Experience with Terraform, Kubernetes, and Helm for infrastructure management. - Solid knowledge of cloud computing concepts, with experience in AWS services being advantageous. - Ability to write complex SQL queries across different dialects. - Familiarity with unit and integration testing methodologies. - Experience in setting up and maintaining CI/CD pipelines. - Exposure to analytical systems and basic data science tooling. Familiarity with basic machine learning and analytical modelling concepts advantageous. - Exposure to self-service reporting tools like Tableau, Looker and DOMO. Soft Skills - Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. - Demonstrated ability to work collaboratively within a team and across departments. - Comfortable working in a fast-paced environment with changing priorities, technologies and tooling. Life-long learners will do well here. - Strong analytical and problem-solving skills. Company Core Values - Transparency: We encourage open sharing of work, seeking feedback and having honest conversations promptly. - Clear Communication: We simplify ideas, communicate directly and confirm understanding to ensure clarity. - Kindness: We value positive vibes, generosity and empathy, both within the team and with customers. - High Standards: We insist on delivering consistent excellence, taking ownership and striving to be domain experts. - Pursue Growth and Learning: We view every situation as a learning opportunity, encouraging experimentation and continuous improvement. - Embrace the Mission: We find joy in our work and recognise the company's broader impact.

• Develop and maintain type curves, production forecasts, and economic evaluations for undeveloped inventory within multiple development scenarios. • Analyze production and subsurface data to identify optimization opportunities related to spacing, landing targets, completions, and overall field development strategy. • Conduct competitor benchmarking and analyze public data sources to evaluate industry performance trends, development strategies, and emerging best practices, incorporating insights into asset optimization and planning efforts. • Design, evaluate, and monitor pilot programs to test emerging concepts, technologies, and industry best practices. • Support reserves booking, budgeting, capital planning, and long-range development planning activities. • Translate technical and operational data into clear, actionable recommendations that drive value creation and capital efficiency. • Communicate technical assumptions, risks, results, and recommendations effectively to leadership and cross-functional stakeholders. • Collaborate closely with drilling, completions, geology, midstream, business development, and operations teams to support integrated asset development. • Utilize large datasets and modern analytical techniques, including machine learning and data-driven modeling where applicable, to improve forecasting and operational performance. • Demonstrate strong ownership, analytical rigor, attention to detail, and adaptability within a fast-paced, lean organization.