• Support the reliability, scalability, and operational maturity of production MySQL environments and core production infrastructure • Manage and improve database replication, failover, backups, recovery, upgrades, and performance optimization • Contribute to cloud infrastructure, automation, observability, and operational tooling initiatives • Support infrastructure-as-code and automation efforts using Terraform and related technologies • Improve monitoring, alerting, and operational visibility across systems and applications • Troubleshoot database, infrastructure, and application-related issues in production environments • Partner with Engineering and Platform teams to improve reliability, scalability, operational efficiency, and production readiness • Support incident response, root cause analysis, and remediation efforts • Contribute to operational best practices and continuous platform improvements • Participate in an on-call rotation supporting production systems

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processing capabilities, connecting to complex data sources and delivering impactful analytics. As a Staff Software Engineer - Platform, you will be instrumental in designing and building the core platform services that support scalable data analytics and efficient user experiences. Working as a key technical leader, you will collaborate closely with cross-functional teams including product management, UX, and fellow engineers to architect and implement robust, high-performance platform components. You will focus on enhancing platform scalability, reliability, and extensibility, introducing modern cloud-native solutions and microservices architectures. Your responsibilities include evolving APIs, optimizing data pipelines, supporting multi-tenant environments, and integrating security best practices. You will also mentor and guide engineering teammates, ensuring high technical standards and effective collaboration. Your Qualifications & Skills: - Proficient in backend technologies with strong experience in JVM languages, particularly Java and Kotlin - Deep understanding of distributed systems, microservices, and cloud platforms such as AWS, Azure, or GCP - Experience building scalable, reliable platform services supporting data-intensive applications - Expertise in API design, data pipelines, and integrating security practices in platform development - Strong background in software design patterns, system architecture, and performance optimization - Demonstrated leadership and mentoring skills, with experience guiding engineering teams - Excellent communication and collaboration skills in a cross-functional and remote work environment - Passion for continuous improvement and adopting modern development methodologies like Agile and CI/CD You will thrive in a fast-paced, innovative environment where your contributions significantly impact the product and customers. A bachelor’s degree in Computer Science or equivalent experience, along with multiple years of senior software engineering experience, is expected.

• Develop and maintain reliable, scalable data pipelines, ensuring execution quality, performance, and observability; • Work on the ingestion, transformation, and provisioning of data for analytical consumption and internal applications; • Build and evolve reusable analytical datasets with semantic consistency and a focus on multiple use cases; • Operate and evolve the data stack (e.g., orchestration, transformation, storage), ensuring stability and efficiency; • Actively participate in resolving data incidents, handling diagnosis, remediation, and failure prevention; • Apply engineering best practices (testing, version control, code review, standardization) to ensure code quality; • Collaborate with Analytics Engineering, SRE, and product teams to ensure data meets business needs; • Use AI tools to increase productivity, code quality, and efficiency in problem solving; • Contribute to the evolution of the data platform as a product, improving usability, governance, and reliability

• As a Staff Platform Engineer, you are the owner of the mission-critical cloud infrastructure that powers the WunderGraph Cosmo platform for our enterprise customers. • Your primary responsibility is ensuring the reliability, performance, and scalability of this core platform by defining and meeting stringent SLOs. • You will not only architect our internal systems for scale but also build and operate key product infrastructure, including our customer-facing telemetry pipeline (built on OpenTelemetry and ClickHouse) and the AI pipeline that empowers our products. • You align with the Head of Engineering and collaborate closely with the engineering team and customers. • Enable our engineering teams to ship features for WunderGraph Cosmo fast, reliably, and with confidence through a world-class Internal Developer Platform (IDP). • Drive the architectural vision for the platform, making key decisions on technologies like Kubernetes, Infrastructure as Code, and our observability stack.