Senior Full Stack Software Engineer

As a Full-Stack Engineer, you are responsible for the entire data and product experience that supports key digital asset operations. You will design and build micro-services to turn raw event streams into reliable data models, develop strong ETLs and enrichment pipelines, and create user-friendly, high-performing interfaces for review, automation, and operations. You will also set clear service contracts and manage reliable, auditable workflows, making sure every step from data ingestion to action is observable, testable, and traceable.

You will work with engineering, product, and customer-facing teams to design user-focused workflows such as approvals, exceptions, backfills, and re-categorization. You will also help put strong controls and auditability in place, and work to improve performance, reliability, and cost efficiency throughout the stack.

• →Build resilient adapters/indexers to ingest, normalize, and reconcile on‑chain events across multiple networks; handle reorgs, idempotency, lag, pagination/backfills, and data quality checks
• →Architect scalable micro-services with clear contracts and consistent domain models; bake in security, access controls, and audit checkpoints
• →Work with event sourcing/CQRS architecture and materializers, read models, replays, and eventual consistency
• →Design long‑running workflows with retries, compensations, and versioning; automate cross‑service processes and external integrations with strong error handling and SLAs
• →UI/UX delivery: Ship intuitive, performant interfaces for review, categorization, reconciliation, approvals, and operational insights with real‑time feedback and accessible patterns
• →Instrument tracing/metrics/logs; define SLIs/SLOs; create actionable dashboards and alerts; maintain integration/load/contract tests and backward compatibility under load
• →Work closely with product, finance/ops, and customer‑facing teams; communicate trade‑offs, risks, and decisions; write concise specs, runbooks, and postmortems
• →Triage ambiguous production issues across data, workflows, and services; deliver pragmatic fixes and long‑term improvements; own features through rollout, monitoring, incidents, and iteration
• →Contribute documentation, patterns, and reviews; mentor peers and elevate engineering standards

• Frontend: Vue 3, TypeScript, Composition API, Vue Router, API integration, performance profiling
• Backend: Go, GraphQL/REST/gRPC, NodeJS, concurrency/performance tuning, JavaScript/TypeScript proficiency
• Event Sourcing/CQRS: Streams, materializers, read models, idempotency, replay/backfills, consistency
• Middleware/Orchestration: Temporal.io (workflows, activities, retries, signals/queries, versioning); GCP Workflows
• Data systems: Strong SQL/NoSQL, Postgres/AlloyDB, Spanner, Firestore, BigQuery, ETL
• Cloud/observability: GCP IAM/Secrets/KMS
• Observability: New relic, Grafana, Prometheus, GCP, Tracing/Monitoring/Logging

• Blockchain: EVM/UTXO/account-based models, node ops, RPC/mempool nuances, contract execution patterns, custodial/non-custodial workflows