Posted 2 d ago
Senior Data & Integration Engineer – Incident Management Platform
Posted by Coderio on 30 October 2026, 2 days ago. Still on their Lever board when we checked 51 min ago.
What the posting is about
Design and deliver a centralized Incident Management Platform, integrating alerting tools, Jira, and AI agents with Databricks lakehouse. Build robust data pipelines, govern incident data models, and ensure seamless handover to internal operations. Collaborate with multicultural teams in a strategic, high-visibility role within a modern engineering culture.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentContract
LocationBuenos Aires
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-30
Found vialever, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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.
Also open at Coderio
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