Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
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, escalate 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.
Role Summary
Location
Mexico, Colombia, Chile
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Clouds & DevOps
Tech level
Middle
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.