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DevOps & Cloud Infrastructure Engineer

  • Posted 6 hours ago
  • Be among the first 10 applicants

Job Description

About The Company

Our client is a global industrial technology company operating across dozens of countries, with expertise in automation, digital solutions, and engineering services for the energy and industrial sectors.

About The Role

This role is responsible for the deployment, technical support, and continuous improvement of a cloud-based digital platform used to monitor and manage the performance of renewable energy assets.

This is a hands-on, cross-functional role that combines data analytics, software troubleshooting, cloud operations, and customer-facing technical support.

Job Responsibilities

  • Provide Level 1 and Level 2 technical support for a cloud-based software platform, including troubleshooting application, database, and integration issues.
  • Investigate software issues through log analysis, debugging, data validation, and root cause analysis.
  • Support software deployments, upgrades, releases, and maintenance activities across development, test, and production environments.
  • Monitor application, database, and cloud infrastructure health to ensure system availability and reliability.
  • Support cloud-based deployments on Microsoft Azure and AWS, including monitoring, security, and access management.
  • Analyze operational and performance data from renewable energy assets such as solar PV, wind, battery energy storage systems (BESS), substations, and related infrastructure.
  • Develop data processing workflows, ETL pipelines, and analytical models to improve asset performance and operational efficiency.
  • Design and optimize SQL queries for data extraction, reporting, and troubleshooting.
  • Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Grafana.
  • Analyze database performance, integrity, and data quality using PostgreSQL, SQL Server, MySQL, and Elasticsearch.
  • Troubleshoot networking and communication issues involving TCP/IP, DNS, VPN, SSL/TLS, WebSocket, MQTT, AMQP, and industrial protocols such as OPC UA, Modbus TCP, and IEC 60870-5-104 (preferred).
  • Collaborate closely with software developers, DevOps engineers, product managers, and renewable energy domain experts to validate fixes, improve platform capabilities, and deliver customer solutions.

Job Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related field.
  • Experience supporting enterprise or cloud-based software platforms.
  • Experience with renewable energy, industrial software, SCADA, or asset performance management platforms is an advantage.
  • Knowledge of renewable energy KPIs such as Availability, Performance Ratio (PR), Capacity Factor, Curtailment, and Forecast Accuracy is an advantage.
  • Familiarity with machine learning, forecasting, and anomaly detection techniques is an advantage.
  • Technical Skills:
  • DevOps - Cloud & Infrastructure
  • Microsoft Azure, AWS, Windows Server & Linux
  • Virtual machines, storage, networking, IAM, and monitoring
  • Git, Azure DevOps, CI/CD pipelines, Octopus Deploy
  • Networking & Integration
  • TCP/IP, DNS, VPN, firewalls, SSL/TLS
  • Reverse proxy & load balancing
  • WebSocket, MQTT, AMQP, TCP/UDP, OPC UA, Modbus TCP, IEC 60870-5-104, DNP3 (preferred)
  • Programming & Analytics
  • Strong Python & SQL programming skills.
  • Working knowledge of JavaScript.
  • Experience with Pandas, NumPy, and statistical analysis.
  • Experience developing ETL workflows and data pipelines is an advantage, but not required.
  • Databases: PostgreSQL, Microsoft SQL Server, MySQL, Elasticsearch

COMPETENCIES

  • Strong analytical and problem-solving abilities.
  • Methodical approach to root cause analysis and troubleshooting.
  • Customer-focused, with excellent communication skills.
  • Ability to work effectively within cross-functional teams.
  • Strong prioritization and incident management skills.
  • Continuous learning mindset.

To apply, please send your updated CV to Khanh Nguyen at [Confidential Information], quoting the job title or Click Apply Now.

Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified.

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Job ID: 152990357

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