[Hiring] Senior Data & Integration Engineer @Coderio

Role Description

We are looking for a Senior Data & Integration Engineer to design and deliver our new centralized Incident Management Platform (Vantage). In this high-impact role, you will bridge the gap between production backend systems, operational tools, and cloud data platforms. You will connect alerting tools, Jira, and LLM-powered AI agents directly into our Databricks lakehouse to turn incident lifecycles into reliable, auditable, and well-governed data products. The contract will initially be for 3 months, with the possibility of being extended to 6 months.

Responsibilities

• End-to-End System Integration:
  • Design, build, and maintain production-grade API and webhook integrations linking alerting systems, Jira Cloud/JSM, and internal services with our data platform.
• AI-Agent & Workflow Engineering:
  • Implement Jira AI-agent integrations featuring tool calling, structured outputs, auditable write-backs, and human-in-the-loop approval workflows.
• Lakehouse Pipeline Engineering:
  • Build robust, incremental data pipelines into Databricks (Delta Lake, PySpark, SQL) ingesting from AWS S3, ensuring idempotency, schema evolution, and reconciliation.
• Governed Incident Data Models:
  • Design curated datasets powering critical SRE and operational metrics (MTTD, MTTR, incident coverage, recurring-issue analysis) with documented data lineage, access controls, and retention policies.
• Testing, Recovery & Handover:
  • Take full ownership of testing suites, failure recovery/backfill procedures, and operational runbooks to ensure seamless handover to internal operations.

Qualifications

• 5+ years in Data Engineering or Backend Integration Engineering, with a proven track record delivering production-grade data pipelines and services.
• Hands-on mastery of Databricks, Delta Lake, and PySpark/Spark SQL in production environments (jobs, workflows, medallion architectures, incremental ingestion).
• Demonstrable experience building and maintaining production REST APIs, webhooks, and lightweight backend services in Python (FastAPI, Flask) with proper authentication, retries, rate-limiting, and idempotency.
• Hands-on experience with core AWS services, primarily S3 and IAM, for secure storage and data ingestion.
• Practical experience integrating LLMs/AI agents into real workflows, specifically implementing human-in-the-loop validation, tool calling, and full audit logging.
• Strong background in Git, CI/CD automation, automated testing (unit/integration), and drafting clear operational documentation/runbooks.
• Advanced professional English proficiency (written and spoken) to collaborate daily with multicultural, globally distributed teams.

Nice to Have

• Direct integration experience with Jira Cloud / Jira Service Management APIs and Webhooks.
• Experience implementing data governance tools (such as Databricks Unity Catalog, row/column masking, and PII protection).
• Familiarity with SRE/incident response metrics (MTTR, MTTD) and observability tools (CloudWatch, Datadog, or New Relic).
• Background in fintech, payment platforms, or regulated data environments.

Benefits

• 100% remote
• Strategic, high-visibility role within a modern engineering culture
• Collaborative international team with strong technical leadership
• Career development and growth opportunities within Coderio