Staff Forward Deployed Engineer (Real-Time Data)

Location: Hybrid, working out of the London, UK office; occasional travel within Europe for quarterly executive meetings.

Company

hirify.global provides an agentic experience platform that uses AI and real-time customer intelligence to support autonomous, ROI-driven marketing across web, mobile, and desktop.

What you will do

• Partner with enterprise customers' engineering and data teams to discover and frame complex real-time data problems.
• Translate ambiguous business objectives into technical problem statements, architecture, scope, and measurable success criteria.
• Design and validate streaming architectures for personalization, push notifications, dynamic offers, and event-triggered marketing.
• Address late-arriving events, schema drift, backpressure, partial failures, and sub-second SLA requirements.
• Drive technical decisions across customer systems and hirify.global's real-time platform engineering teams.
• Productize generalizable solutions through reference architectures, implementation guides, and decision frameworks.

Requirements

• 8+ years of software or data engineering experience, including at least 2 years in customer-facing, embedded, or solutions engineering.
• Hands-on experience with streaming and event-driven architectures, including Kafka, Flink, Kinesis, Spark Streaming, DynamoDB, or Redis.
• Fluency in AWS and experience designing scalable data architectures and pipelines using services such as Lambda and Kinesis.
• Strong data engineering fundamentals, including pipeline design, SQL, Python, schema modeling, and data quality.
• Experience with CDP, marketing automation, or behavioral data-management platforms.
• Ability to lead technical workshops, work directly in code, and communicate complex architectures to senior stakeholders.

Nice to have

• Experience with real-time personalization, push notification pipelines, cart-abandonment, or trigger-based marketing systems.
• Experience with Kotlin, Node, JavaScript, Java, or Scala.
• Familiarity with ML model serving in streaming contexts, including feature stores and real-time inference.
• Previous experience at a data platform, CDP, or martech company.

Culture & Benefits

• Permanent, open-ended role combining approximately 40% customer engagement and 60% engineering.
• Salary sacrifice pension plan with a 7% employer match.
• Supplemental medical and dental coverage, life cover worth 5x annual salary, and RSUs.
• Up to 26 weeks of paid parental leave and access to global reproductive health and family-building support.
• Inclusive environment focused on ownership, diverse perspectives, initiative, and innovation.