Role Description As a Lead PHP Full Stack Developer, you will work closely with other developers, DB developers, business analysts, and QA analysts on features and watch them go from conception to deployment in weeks. You will be responsible for developing & implementing projects required to deliver committed customer enhancements, migrations, and new program launches, including interfaces to clients, hubs, data aggregator/analysis companies, and payment processors while ensuring data accuracy and data integrity. - Participate and contribute in the full project life cycle, including: - Gathering requirements - System design - Implementation - Testing - Deployment - Support of applications using PHP, JavaScript - mostly jQuery library - Participate in estimating assigned work effort and be accountable for completion dates - Document code so other engineers can reuse and support components in the future - As needed, help and mentor more junior developers on implementation - Troubleshoot critical production issues if needed - Production release management and support as needed - Follow standard software development methodologies and SDLC and Agile practices to produce high-quality applications in an efficient manner - Effectively manage multiple project deliverables concurrently Qualifications - PHP Full Stack experience with jQuery, JavaScript is required - 2-5 years Application DBA with SQL and experience with POSTGRES desirable - GIT - source control, pull request, and release management - Angular, Bootstrap, and Python skill set are desirable - Data normalization experience - Unix/Linux command line experience is desirable - Python experience is desirable - AWS experience is desirable, but client is willing to bring up to speed - Agile / Scrum Experience - Understanding of process models and methodologies Knowledge - Conceptual knowledge of database normalization as well as implementation - Stored procedures, triggers, and functions - Working knowledge of AWS or other Cloud Computing environments strongly preferred Core Competencies - Very fast-paced environment with tight client deadlines - Effective time management and organizational skills - Accountability for project results - Interpersonal management, communication, and problem resolution

Role Description We are seeking a Backend/DevOps Engineer to join the Infrastructure and Platform tools team. The ideal candidate will have a solid foundation in Java, Lua, Go, CI/CD pipeline creation and will contribute to the design, development, and maintenance of our REST API SDLC tooling. Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. You will collaborate with cross-functional teams to ensure that our platform tooling ecosystem is robust, scalable, and efficient. Your work will directly impact the developer experience and the overall performance and security of our APIs. Qualifications - Minimum of 3 years of experience in software development, with a focus on Java, Lua, Go and infrastructure tools. Requirements - Develop and maintain tools and libraries for REST API creation and management using Java SpringBoot, Lua and Go. - Experience with creation and deployment of CI/CD pipelines and stages. - Create and maintain guides and best practices for REST API schema design, implementation and consumption. - Establish and maintain processes for schema change control, breaking change detection, and error sanitization. - Update and publish REST API schema and security standards, including application security configurations. - Create and maintain systems for monitoring error rates, latency metrics, and field usage. - Implement and manage a schema registry, ensuring seamless schema proposals, changes, and version control. - Work closely with other engineers, product managers, and stakeholders to define and prioritize features and improvements. Benefits - Excellent programming skills with Java/Lua/Go. - Experience with unit testing, integration testing, and end-to-end testing frameworks. - Proficiency with database technologies such as MySQL. - Understanding of Service Oriented Architecture (SOA) to aid in debugging. - Proficiency with Git and experience managing code in a collaborative environment. - Excellent communication skills and the ability to work effectively in a team environment. Bonus Skills - Proficiency with creating CI/CD pipelines and stages with Harness using YAML templates. - Kong plugin development using Lua or Go. - Experience with Package Managers like LuaRocks. - Experience with containerization (Docker), and orchestration tools (Kubernetes). - Experience with cloud platforms such as AWS, Google Cloud, or Azure. - Familiarity with monitoring and logging tools like Datadog and OpenTelemetry.

• Desenvolver e evoluir funcionalidades dos produtos internos da Platform Services utilizando Go, Java e Python, conforme o contexto das soluções • Projetar, implementar e manter APIs, serviços e automações que apoiam os times de engenharia da Sensedia • Atuar com desenvolvimento backend, escrevendo código limpo, testável e de fácil manutenção, seguindo as boas práticas de engenharia de software • Desenvolver e manter testes automatizados para garantir a qualidade e a confiabilidade das entregas • Participar de code reviews, refinamentos e discussões técnicas, contribuindo para a evolução da arquitetura e das soluções do time • Contribuir para a evolução do motor de provisionamento, automações e demais componentes da plataforma, utilizando tecnologias como Docker, Kubernetes e AWS quando necessário • Colaborar com os times de engenharia na evolução de soluções, APIs e integrações, utilizando práticas de CI/CD, Git e GitOps • Explorar e aplicar ferramentas e agentes de IA para aumentar a produtividade, qualidade do código e automação do desenvolvimento

• A durable, multi-source ingestion pipeline that connects to external sources, transforms and deduplicates events, and routes them to multiple specialized stores • A web application that visualizes and queries that data, including interactive views. • A data access layer spanning relational, graph, and analytical stores - designed to respect each engine’s strengths rather than flatten them behind a lowest-common-denominator API. • Cloud deployment on managed Kubernetes, with reproducible builds and a strong supply-chain story. • Observability end to end - traces, metrics, logs, and the dashboards that turn them into something use.