• Join a world-class technology consultancy as a Senior Data Platform Engineer, bridging data and software engineering to build scalable, reliable infrastructure. • You'll design and maintain cloud-native data platforms using Python, Terraform, and Kubernetes while creating smooth data processing and deployment experiences. • You'll build software services and APIs using Python frameworks (ideally FastAPI) to create reliable data processing and deployment experiences. • The role involves designing and maintaining secure cloud infrastructure from a software engineering perspective, handling core networking components including WAF and CDN on Azure. • You'll use Terraform to manage infrastructure as code and deploy scalable services using AKS (Azure Kubernetes Service) and Docker. • Implementing end-to-end data solutions, you'll ensure data flows correctly across real-time streaming architectures (Kafka/Kinesis) and batch processing systems. • Working with data platforms like Databricks, Snowflake, and Airflow, you'll apply data modeling methodologies including Kimball, Inmon, and Data Vault. • Strong focus on CI/CD workflows, engineering principles, and architectural best practices to deliver high-impact solutions in fast-paced environments.

• Receive tasks and assignments from the Software Manager. • Develop and maintain backend systems and features. • Test, debug, and troubleshoot code to ensure quality and performance. • Ensure software runs properly, efficiently, and meets business requirements. • Collaborate with cross-functional team members as needed. • Design, build, and optimize database structures, queries, and stored procedures. • Contribute to full-stack development efforts, including integration with Angular-based frontends when needed. • Participate in system architecture design and technical decision-making. • Deploy, manage, and monitor applications within Microsoft Azure environments (as applicable). • Write clean, scalable, and well-documented code following best practices. • Perform code reviews and provide constructive feedback to other developers. • Identify performance bottlenecks and implement improvements. • Proactively identify issues and propose effective technical solutions. • Communicate progress, challenges, and solutions clearly to stakeholders and team members. • Take ownership of assigned tasks and deliver high-quality results within deadlines. • Perform other tasks related to the position.

• Own backend infrastructure and AI workflows that drive monetization impact • Build internal infrastructure and AI workflows that our Monetization team relies on daily • Build backend APIs and production-grade agentic AI workflows that help our monetization team move faster, run smarter experiments, and scale winning strategies across our app portfolio • Build and maintain backend services in Python • Design scalable APIs (FastAPI or similar frameworks) • Build and deploy agentic AI workflows in production (not just prototypes) • Work closely with Monetization stakeholders to translate business needs into scalable systems • Own backend architecture, delivery, reliability, and iteration speed • Improve observability, performance, and system robustness over time • Work with CI/CD pipelines and cloud infrastructure • Build services running on Docker / Kubernetes / Helm • Collaborate with engineers working on Go services (or grow into Go over time)

• Build & Architect Design and deliver scalable APIs, microservices, and integration pipelines • Develop cloud-native solutions in Microsoft Azure (App Services, Functions, Entra ID, API Management) • Lead architecture for event-driven and distributed systems • Drive AI & MLOps Innovation Implement AI/ML-enabled services and automation workflows • Build and scale MLOps pipelines (Azure ML, MLflow, Databricks) • Develop PoCs and bring emerging technologies into production • Guide and mentor engineers while remaining hands-on in code and design • Act as the escalation point for complex technical challenges • Foster a culture of ownership, innovation, and engineering excellence • Build systems aligned with HIPAA, PHI/PII protection, and healthcare standards • Implement interoperability frameworks such as FHIR, HL7, and EDI