We are seeking an experienced Senior Data Platform Engineer to design and scale the robust, cost-efficient infrastructure powering our groundbreaking fraud prevention solution. In this role, you will architect distributed systems and cloud-native technologies to safeguard our clients' revenue while driving technical initiatives that align with business objectives and operational efficiency.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena
Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency.
High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions.
Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization.
Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena
Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency.
High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions.
Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization.
Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.
Requirements:
Experience: 5+ years of experience in data platform engineering, backend engineering, or infrastructure engineering.
Language Proficiency: Specific, strong proficiency in Python & software engineering principles.
Cloud Native: Extensive experience with AWS, GCP, or Azure and cloud-native architectures.
Databases: Deep knowledge of both relational (e.g., PostgreSQL) and NoSQL databases, including performance optimization, cost tuning, and scaling strategies.
Architecture: Strong experience designing and implementing RESTful APIs, microservices architecture, and event-driven systems.
Containerization & IaC: Experience with containerization technologies (Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform, CloudFormation).
System Design: Strong understanding of distributed systems principles, concurrency, and scalability patterns.
Nice-to-Haves
Strong Advantage: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark (Optimization), Message Queues (Kafka/Kinesis), Graph Databases (Experience with schema design, cluster setup, and ongoing management of engines like Amazon Neptune or Neo4j).
Tech Stack: Orchestration (Temporal/Dagster/Airflow), Modern Data Stack (dbt/DuckDB), Streaming (Flink/Kafka Streams), Observability (Datadog/Grafana).
Skills: FinOps (Cost Explorer/Spot instances), CI/CD & DevOps, Data Governance (GDPR), Pydantic, and Mentorship/Leadership experience.
Experience: 5+ years of experience in data platform engineering, backend engineering, or infrastructure engineering.
Language Proficiency: Specific, strong proficiency in Python & software engineering principles.
Cloud Native: Extensive experience with AWS, GCP, or Azure and cloud-native architectures.
Databases: Deep knowledge of both relational (e.g., PostgreSQL) and NoSQL databases, including performance optimization, cost tuning, and scaling strategies.
Architecture: Strong experience designing and implementing RESTful APIs, microservices architecture, and event-driven systems.
Containerization & IaC: Experience with containerization technologies (Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform, CloudFormation).
System Design: Strong understanding of distributed systems principles, concurrency, and scalability patterns.
Nice-to-Haves
Strong Advantage: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark (Optimization), Message Queues (Kafka/Kinesis), Graph Databases (Experience with schema design, cluster setup, and ongoing management of engines like Amazon Neptune or Neo4j).
Tech Stack: Orchestration (Temporal/Dagster/Airflow), Modern Data Stack (dbt/DuckDB), Streaming (Flink/Kafka Streams), Observability (Datadog/Grafana).
Skills: FinOps (Cost Explorer/Spot instances), CI/CD & DevOps, Data Governance (GDPR), Pydantic, and Mentorship/Leadership experience.
This position is open to all candidates.
