DevOps Engineer

About Infosys

Infosys is a global leader in next generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI first core, empower the business with agile digital at scale and drive continuous improvement with always on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Role Description

The DevOps Engineer is a technical role responsible for supporting and enhancing the BHAT and UDL applications within the portfolio. Based in Perth, this full time position will play a key role in driving automation, infrastructure as code (IaC), CI/CD pipeline development, and cloud native application delivery. The role requires strong expertise in Python, AWS, Angular, Terraform, Docker, and SQL, with a focus on building scalable, reliable, and efficient solutions aligned with the organization's technology roadmap. Experience or contextual knowledge of Machine Learning is desirable and will support future innovation and platform evolution initiatives.

Location

Perth, Australia

Salary

AUD 108,571-119,893 Annual Gross (indicative range)

Flexible Working Arrangements

Hybrid, reviewed case by case basis.

Roles and Responsibilities

• Support and maintain the BHAT and UDL applications, ensuring high availability, performance, and reliability.
• Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.
• Develop, maintain, and optimise CI/CD pipelines to support automated software delivery and deployment processes.
• Build, deploy, and support cloud native applications and services hosted on AWS.
• Develop automation scripts and tools using Python to streamline operational processes and improve efficiency.
• Manage and support containerised environments using Docker across development and production platforms.
• Collaborate with development, business, and platform teams to deliver enhancements, releases, and operational improvements.
• Design, optimise, and troubleshoot SQL queries and database related components.
• Support the development and maintenance of Angular based application components where required.
• Monitor application and infrastructure health, proactively identifying and resolving issues.
• Apply DevOps best practices across automation, deployment, monitoring, security, and configuration management.
• Contribute to cloud platform modernisation initiatives and technology roadmap execution.
• Support Machine Learning related workflows and platforms where contextual knowledge is applicable.
• Create and maintain technical documentation, operational runbooks, and knowledge management artefacts.
• Participate in incident management, root cause analysis, and continuous improvement activities to enhance service quality.

Technical Expertise & DevOps Requirements

• Strong experience in AWS cloud services, including deployment, support, and management of cloud native applications and infrastructure.
• Proven expertise in Python, Terraform, Docker, and SQL for automation, IaC, containerisation, and database management.
• Hands on experience designing, implementing, and maintaining CI/CD pipelines to enable efficient and reliable software delivery.
• Experience supporting and enhancing modern web applications, with knowledge of Angular and full application lifecycle management.
• Strong understanding of DevOps best practices, including automation, monitoring, configuration management, incident resolution, and continuous improvement.
• Experience working in Agile environments and collaborating with cross functional teams to deliver scalable, secure, and high performing solutions.
• Contextual knowledge of Machine Learning concepts and platforms is desirable.

Essential

• Proven experience as a DevOps Engineer supporting enterprise applications in cloud based environments.
• Strong hands on expertise in AWS, Python, Terraform, Docker, SQL, and CI/CD pipeline implementation and support.
• Experience designing and managing Infrastructure as Code (IaC), automation frameworks, and cloud native application deployments.
• Experience supporting production environments, troubleshooting complex technical issues, and driving operational excellence.
• Knowledge of Angular based applications and modern software delivery practices.
• Experience working within Agile delivery teams and collaborating effectively with cross functional stakeholders.
• Contextual knowledge or exposure to Machine Learning platforms, workflows, or solutions is desirable.

Additional

• Excellent customer facing and stakeholder management skills.
• Excellent written and verbal communication skills.
• Strong attention to detail with outstanding analytical, troubleshooting, and problem solving capabilities.
• Ability to manage multiple priorities and work effectively in a fast paced environment.
• Strong commitment to continuous improvement, automation, and operational best practice.

Benefits

• Income Protection Insurance
• Paid Parental and Volunteer leaves
• Employee Assistance Program (EAP)Flexible working arrangements (hybrid, reviewed case by case basis)
• Health Insurance Discount and Well being Program
• Access to Fitness and Gym Memberships
• Salary packaging and novated leasing

EEO Statement

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.