Why this role matters:

We are seeking a Senior Golang Engineer for our Jumper AI / Conversational Commerce platform team to design and build backend systems that power a Journey Builder, a workflow orchestration engine used to model and execute complex, event-driven customer journeys. This role focuses on implementing advanced algorithms, orchestration logic, and distributed execution models that support branching, state management, retries, and long-running workflows. You will work on microservices built with Go (programming language) that coordinate events across multiple systems while meeting performance, reliability, and correctness requirements.

Your key responsibilities:

• Design and implement backend services using Go (programming language) and modern Go API frameworks such as Gin, Echo, or Fiber within a distributed microservices architecture.
• Build and operate core components of a Journey Builder/workflow orchestration platform.
• Develop execution models for stateful, long-running workflows, including branching, retries, fan-out, joins, and recovery.
• Design and implement routing, decision, and event-correlation algorithms with strong correctness and idempotency guarantees.
• Build event-driven and asynchronous pipelines using systems such as Apache Kafka, Amazon Simple Queue Service, or Amazon Simple Notification Service.
• Design and manage workflow state, execution history, and intermediate data using storage solutions such as PostgreSQL, Amazon DynamoDB, and Redis.
• Own backend services end-to-end, including deployment, monitoring, on-call support, and production incident resolution on Amazon Web Services.

What you'll bring

• 9+ years of backend engineering experience building production-grade systems.
• Strong proficiency in Golang and experience building REST APIs and microservices.
• Solid understanding of distributed systems, microservices architecture, and event-driven design.
• Experience building workflow engines, orchestration layers, rule engines, or state machines.
• Hands-on experience with asynchronous processing, retries, deduplication, and failure recovery.
• Strong data modeling skills using SQL and NoSQL databases such as PostgreSQL, DynamoDB, or Redis.
• Experience working with cloud infrastructure (AWS / GCP) and modern development practices, including CI/CD and containerization.

Experience we consider a plus:

• Experience with large-scale messaging or conversational platforms.
• Exposure to workflow engines, state machines, or rule-based execution systems.
• Hands-on experience with Google Cloud Platform and cloud-native services.
• Familiarity with SRE practices, observability, and production reliability engineering.

How you'll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process. 

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