Intermediate AI/AWS Support Engineer

SoftServe Inc.; Chile; Presencial; CLP 12.000.000 - 24.000.000; Jornada completa

Descripción de la vacante

SoftServe is hiring for a hands-on cloud operations specialist to support Databricks and AWS within NextEra Energy’s GSU ecosystem. You will own day‑to‑day operational health, manage incidents, and collaborate with L3 teams to troubleshoot end‑to‑end integrations.

You will leverage AI-assisted tools to accelerate troubleshooting, develop runbooks, and drive repeatable processes that reduce manual effort across data platforms and services.

Formación

• 3–5 years of experience in cloud operations, SRE, or DevOps with Databricks and AWS.
• Hands-on with Databricks jobs, clusters, Unity Catalog, Spark logs, and Spark UI.
• Strong SQL and Python for debugging and scripting; AWS services including Lambda, DynamoDB, Cognito, CloudWatch, IAM, and S3.
• Experience with ITIL-aligned incident and request management, including SLAs and RCA.
• Familiarity with GenAI, LLMs, prompts, and AI-assisted tooling.
• Clear written English and service-minded communication for tickets and runbooks.
• Exposure to Databricks Apps, Terraform, GitHub Actions, ServiceNow, and related tech is a plus.

Responsabilidades

• Monitor Databricks jobs, workflows, data pipelines, Oracle API ingestion processes, and AWS services, responding to failures and quality issues.
• Own incident and service request resolution within defined SLAs, performing approved remediation.
• Collaborate with internal and external stakeholders and L3 product teams to troubleshoot end‑to‑end integrations and validate fixes.
• Troubleshoot front‑end, API, backend, database, connectivity, and integration issues using logs, Spark UI, and diagnostics.
• Manage Databricks access and permissions across workspaces, Unity Catalog, groups, and service principals.
• Use AI‑powered engineering tools to accelerate troubleshooting, scripting, log analysis, and documentation.
• Develop automation scripts, runbooks, knowledge articles, and repeatable processes to reduce manual effort.
• Monitor platform health, performance, cost trends, dashboards, and contribute to RCA and continuous improvement.

Conocimientos

Databricks

AWS

SQL

Python

ITIL

React (front-end knowledge)

GenAI

Herramientas

Databricks

Unity Catalog

Spark UI

GitHub Copilot

Cursor

Terraform

ServiceNow

Descripción del empleo

About The Role

In this role you will provide hands‑on L1/L2 support for Databricks and AWS products within NextEra Energy’s GSU ecosystem, including the GSU data product, Allocation Hub, and Gateway. You will own day‑to‑day operational support, help keep critical applications and data services healthy, and use AI‑assisted practices to improve troubleshooting and reusable support knowledge.

Responsibilities

• Monitor Databricks jobs, workflows, data pipelines, Oracle API ingestion processes, and AWS services, responding to failures, alerts, performance issues, and data quality problems.
• Own incident and service request resolution within defined SLAs, performing approved remediation such as job reruns, cluster restarts, configuration updates, and resolution of known data issues.
• Collaborate with internal and external stakeholders and L3 product teams to troubleshoot end‑to‑end integrations, elevate complex or code‑level issues with clear evidence, and validate implemented fixes.
• Troubleshoot front‑end, API, backend, database, connectivity, and integration issues using logs, traces, Spark UI, browser developer tools, monitoring tools, and system diagnostics.
• Manage Databricks access and permissions across workspaces, Unity Catalog, groups, and service principals while supporting applications and data platforms.
• Use AI‑powered engineering tools such as GitHub Copilot and Cursor to accelerate troubleshooting, scripting, log analysis, and operational documentation.
• Develop automation scripts, operational tooling, runbooks, knowledge articles, known‑error documentation, and repeatable processes that reduce manual support effort.
• Monitor platform health, performance, capacity, cost trends, dashboards, and observability while contributing to root cause analysis, service reviews, backlog grooming, and continuous improvement activities.

Requirements

• 3–5 years of experience in cloud operations, application or data platform support, SRE, or DevOps, with Databricks and AWS as the main platforms.
• Hands‑on experience with Databricks jobs and Workflows, clusters, SQL warehouses, Unity Catalog, Spark logs, Spark UI, and familiarity with the bronze, silver, and gold medallion pattern.
• Strong knowledge of SQL, plus Python for debugging and scripting, and AWS services including Lambda, DynamoDB, Cognito, CloudWatch, IAM, and S3.
• Practical experience with integration and API troubleshooting, including logs, traces, browser developer tools, and understanding how React front ends interact with backend APIs.
• Working knowledge of GenAI and LLM applications, including prompts, RAG, tool or function calling, agents, production failure patterns, and AI‑assisted coding or operations tools.
• Experience with ITIL‑aligned incident and request management, including priority matrices, SLAs, escalation paths, and root cause analysis.
• Clear written English and a service‑minded approach, particularly for tickets, runbooks, end‑user communication, and white‑glove support for business users.
• Additional relevant exposure to Databricks Apps, Lakebase, Delta Live Tables or Lakeflow, Databricks Asset Bundles, GitHub Actions, Terraform, ServiceNow, MCP‑based integrations, Semantic Kernel, LangChain, LLM observability, Databricks AI features, SRE practices, or regulated industries is considered beneficial.

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.