DevOps Engineer at Daystar Power Energy Solution

Job summary:

• The DevOps Engineer will cover many software engineering domains – Cloud, Software development, Site Reliability Engineer (SRE) and manage associated Operational Risks and Controls.
• The job holder would be responsible for ensuring the reliability, scalability, and performance of critical systems and services. This role combines software engineering principles with operational expertise to automate processes, improve system resilience, and maintain high availability across cloud and on-premises environments.
• The job holder will be involved in building and operating comprehensive tools, platforms and infrastructure, playing a crucial part in supporting and enhancing the digital fabric of Daystar. He or She will utilize skills and passion to drive innovation and reliability in our digital operations whilst collaborate with team members to ensure the organization retains critical control points and technical knowledge, avoiding over-reliance on suppliers.
• A key requirement would be the ability to enable unlocking of value for the business through exploitation of Asset, Finance and general Business data utilizing Technologies such as AI & Hyper-automation.

Key Responsibilities:

• Carry out Site Reliability Engineer (SRE) activities for AWS/Azure Platform as may be needed.
• Develop and maintain in-house built applications and solutions.
• Manage associated Operational Risks and ensure Controls are designed and operate effective.
• Utilize AWS and Power BI for data acquisition, transformation, and visualization. Automate key business processes using Power Apps, Python and other technologies such as AI & Hyper-automation.
• Precisely capture business problems, value drivers, and functional/non-functional requirements, including health, safety, security, usability, data, and supportability considerations.
• Assess and model processes, data flows, and technology to understand the bottlenecks and identify opportunities for improvement.
• Gathers, analyses and models data and key performance indicators to develop quantitative and qualitative business insights in an agile fashion, identifies opportunities for improved data analysis.
• Ensure operation run books, support guidelines, and procedures are produced and maintained for use.
• Regular monitoring of the applications and landscape, health check reporting.
• Ensure compliance with security and governance standards.

Requirements

Education: Bachelor’s/ Master’s degree in ICT, Electrical/Electronic Engineering and Computer Science or a related discipline. Candidates with degrees in other subjects but with strong hands-on domain achievements and relevant certifications in the areas listed above are also acceptable.

Experience: Minimum 5 years of relevant experience as an SRE, DevOps Engineer and Application Development. in DevOps and Cloud Engineering roles - software engineering, software development, or system operations.

Knowledge and skills:

• Proficient in using Power Apps and Power BI.
• Demonstrable experience/skill in React.js, Next.js, GitHub and Python.
• Proven subject matter expertise working with cloud technologies like Azure/AWS Platform, MongoDB.
• Experience in supporting a diverse application landscape, including change management, application testing, data integrity management, patch management and end-user support and training.
• ITIL Certification (preferred).
• Proficiency in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).

• Familiarity with automation tools (Terraform, Ansible) and monitoring solutions (Prometheus, Grafana, ELK).
• Deep knowledge of Azure Power Platform (Power Apps, Power automate, Co-Pilot studio) Architecture.
• Communication Skills: Demonstrate excellent verbal and written communication skills
• AWS/Azure administration or system engineering certification and proven hands-on experience.
• Infrastructure as Code (IaC), Terraform and container orchestration tools preferably Kubernetes.
• Hands-on experience with Kubernetes, Docker, and monitoring tools like Prometheus, Elastic Stack, and Grafana.