DevOps Engineer at Old Mutual

Job Description

Old Mutual’s longstanding history and unquestionable success in the financial services industry, provides a solid foundation for expansion of its digital platform. In support of this, the Data and Enterprise Services is a dynamic team within the Digital and Data division. We seek to create seamless and personalized experiences for our 13 million customers globally. Its core purpose is to design, implement and support key datasets that provides structured and timely access to actionable business information whilst championing the needs of the customer always. The Digital & Data team applies customer-focused design thinking, data management, cloud engineering, agile and lean development methodologies, and continuous delivery practices in its deliveries.

This team’s primary focus is to build and establish the data platform capability by applying industry knowledge, best practices and innovative ideas to take Old Mutual into the future through the use of best of the breed technologies and applied thinking and processes on its strategic journey to the cloud.

To complement the existing cross-functional team, Old Mutual is looking for a DevOps Engineer who will design and implement scalable and robust solutions to support the data engineering capability. This role will be responsible for designing, implementing and operationalising the environment within Data Platform. Use best practices in cloud engineering, data management and data storage to continue our drive to optimize the way that data is stored, consumed and ultimately democratized.

• Request For Change (RFC) management in Amazon Managed Services (AMS) (logging, escalation, resolution)
• Provisioning infrastructure in AWS (via RFC process, CloudFormation, Console)
• AWS Security Management (authoring IAM security policies, logging security requests, user management/permissions)
• Infrastructure As Code (development of CloudFormation templates )
• Development, deployment and management of CICD (Continuous Integration Continuous Deployment ) pipelines.
• Linux and Windows System Administration within AWS (SSH, RDP).
• New AWS account creation and initial setup (networking and VPC setup)
• FinOps - AWS Cost Management and Optimisation.
• Maintenance and Support of 3rd party applications:
• Installation of new functionality
• Upgrading the software
• Liaising with IT Security for permissions
• Migrate to Production environment – Development to Production
• Data promotions
• Diagnose internet issues eg vpc issues, networking issues

Role & Qualifications Requirements

• Minimum 3 years IT work experience and 2+ years of experience in a technical position in a relevant role e.g. System Administrator, Network Engineer, DevOps Engineer, Cloud Engineer.
• Tertiary qualification in ANY of the following:
• Degree in Information Technology or Computer Science
• Technical IT diploma from a recognised IT training institution
• International IT certification e.g. MCSE, RHCE, CCNA, AWS Engineer
• System administration experience at an intermediate level is required.

Proficiency and and experience in:

• Linux System Administration (e.g. LAMP, BASH scripting)
• Networking (e.g. LAN, WAN, DNS, TCP/IP, Routing, NAT)
• Firewall and Network Security (e.g. ACL, Port Filtering, Forward/Reverse Proxy)
• Windows System Administration (AD, DNS, DHCP, GPO)
• Python / shell experience
• Putty and winscp
• Need to know bash, python and linux centos commands
• Understanding AMS bastion EC2 access and making machines talk to each other
• Understanding networking, AMS VPC, HTTPS, SMTP, internet-of-things,
• Amazon AWS
• EC2
• VPC, Transit Gateway
• S3
• IAM
• Infrastructure As Code (e.g. CloudFormation)
• CodeCommit, CodePipeline, CodeBuild

Advantageous AWS experience

• Glue
• LAMBDA
• DynamoDB
• RDS (MS SQL, Oracle)
• Landing Zone, Control Tower
• AMS
• Experience with Dev/OPS architecture, implementation and operation.
• Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.
• Experience in applying SAFe/Scrum/Kanban methodologies.
• Strong problem solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution.

Closing Date

• 07 October 2022