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Salary
≈ $40k – $106k per year (Estimated)
Location
Remote (Argentina, Brazil, Uruguay)
Seniority
Senior · 5+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. Coderio scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Coderio is a software development and staff augmentation company that builds nearshore engineering teams for clients in the United States and Latin America. It provides custom software development, digital channel and product engineering, site reliability and performance engineering, and dedicated development teams staffed largely from Argentina, Mexico, Peru and Uruguay. The company is headquartered in New York, New York, United States.

About Us

Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

More information: http://coderio.com

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.

What You Can Expect (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.

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.

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

Why join Coderio?

At Coderio, we value talent and excellence. While we are primarily a remote-first company, this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.

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