Sr Software Engr (Golang, Concurrency, 8+ Years)
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.
Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team
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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