Coderio - Senior Data & Integration Engineer – Incident Management Platform
Requirements
• Experience: 5+ years in Data Engineering or Backend Integration Engineering, with a proven track record delivering production-grade data pipelines and services. • Databricks & Lakehouse: Hands-on mastery of Databricks, Delta Lake, and PySpark/Spark SQL in production environments (jobs, workflows, medallion architectures, incremental ingestion). • APIs & Backend Services: 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. • AWS Foundation: Hands-on experience with core AWS services, primarily S3 and IAM, for secure storage and data ingestion. • AI & Agentic Controls: Practical experience integrating LLMs/AI agents into real workflows, specifically implementing human-in-the-loop validation, tool calling, and full audit logging. • Engineering Discipline: Strong background in Git, CI/CD automation, automated testing (unit/integration), and drafting clear operational documentation/runbooks. • English Proficiency: Advanced professional English proficiency (written and spoken) to collaborate daily with multicultural, globally distributed teams. • 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.
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.
Benefits
• Strategic, high-visibility role within a modern engineering culture • Collaborative international team with strong technical leadership • Career development and growth opportunities within Coderio
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