Role Description As a Senior Platform Engineer on our Data & Performance Enablement team, you will take a significant role in designing and implementing the platforms that manage all distributed event streaming technologies at HCD. You will own the development of key features for our database, messaging, and data warehouse platforms. Your work will directly enable our engineering teams to build high-performance, data-intensive applications. You will mentor other engineers, collaborate with customer teams, and contribute to the technical roadmap for your area. - Design, build, and maintain key components of our data platform automation for provisioning, backups, and user management. - Troubleshoot and resolve complex performance and reliability issues in our data systems, often serving as an escalation point for the team. - Proactively identify opportunities to improve data streaming services, security, scalability, and automation. - Participate in an on-call rotation to support the team's critical services. - Mentor junior engineers on the team, providing guidance on database administration, query optimization, and DBRE principles. - Contribute to the technical roadmap by researching new data technologies and proposing innovative solutions. Qualifications - 5 years of applicable experience - Strong experience with messaging platforms (Kafka/Redis) - Experience with Infrastructure as Code (IaC) - Proficient in at least one scripting language (e.g., Bash, Python) - Solid experience with at least one major cloud provider (Azure or AWS preferred) and their managed offerings Requirements - A product mindset and empathy for developer customers, with experience helping teams design scalable data models. - A pragmatic approach to problem-solving and a proven ability to deliver complex technical projects. - Experience with GitHub Actions or similar pipeline technologies. Education - Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience. Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility.

• Lead the design and evolution of scalable data, analytics, and AI platforms • Architect and optimize Databricks-based data pipelines and enterprise data platforms • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities • Deliver actionable insights and executive-level reporting • Establish engineering standards, governance frameworks, and best practices for data quality • Partner across Product, Operations, Engineering, and AI teams • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists

• Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations • Architect and optimize Databricks-based data pipelines and enterprise data platforms • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities • Deliver actionable insights and executive-level reporting that inform strategic decision-making • Establish engineering standards, governance frameworks, and best practices for data quality • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists

• Administer and maintain IBM/Software AG WebMethods environments. • Manage platform configuration, performance tuning, and capacity planning. • Monitor system health, availability, and performance. • Manage middleware infrastructure across development, QA, UAT, and production environments. • Coordinate platform upgrades, patches, hotfixes, and security updates. • Perform server provisioning, decommissioning, and lifecycle management. • Support infrastructure modernization and migration projects. • Manage user accounts, roles, permissions, and authentication mechanisms. • Coordinate platform security reviews and compliance activities. • Collaborate with Cybersecurity teams to address vulnerabilities and remediation plans. • Troubleshoot connectivity issues involving: Firewalls, VPNs, Load balancers, DNS, SSL/TLS, Reverse proxies, External partner integrations. • Serve as Level 3 support for platform and infrastructure incidents. • Analyze logs, diagnostics, and performance metrics to identify root causes.