Senior Engineering Manager - Chapter Lead, Workflow at Commonwealth Bank
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Design, Test Automation, Orchestration, Artifactory, Kafka, Data Engineering, Aggregation, Mongodb, Artificial Intelligence, Apache Camel, Encryption, Data Transformation, Python, Databases, Relational Databases, Languages, Data Warehousing, Software Engineers, Security

Industry

Information Technology/IT

Description

SENIOR ENGINEERING MANAGER - CHAPTER LEAD, WORKFLOW

  • You are collaborative and enjoy solving problems to help our team to reach highest potential
  • We’re one of the biggest workflow practices across Australia
  • Together we can build state-of-the-art solutions for people

TECHNICAL SKILLS

We use a broad range of tools, languages, and frameworks. We do not expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this team!

  • Hands-on engineering manager that can lead software engineers in building cloud scalable platforms.
  • Expertise with API specification, design, registration and tooling (eg OpenAPI, AWS Gateway)
  • CI/CD: expertise with usage and configuration of fully automated pipelines is useful. This includes GitHub Actions, Artifactory and GitRepo.
  • DevOps: Familiarity with DevOps-managed environments. Specifically, around observability tools (Splunk, Grafana, Promethius, PagerDuty)
  • Language orientation: Experience on C#, .NET Framework Core, essential. SOAP/REST APIs, Microservices and containerisation a plus. Node, Python and scripting knowledge useful
  • Artificial Intelligence: Sound knowledge in AI technologies, particularly around tooling enhancements will be valued.
  • Data engineering: Knowledge in building a data lake using real-time and near real-time services, along with data transformation, aggregation, and offering through API endpoints
  • Test Automation: Unit/Integration/Acceptance/Performance testing experience in API.
  • Security: Defence in depth, including identity management, encryption and public cloud security obligations
  • Experience in distributed, low latency environments.
  • Databases: Relational databases (e.g. Postgres / Oracle), as well as data warehousing and No-SQL databases (MongoDB).
  • Familiarity in event-driven architectures (Kafka, MQ) and orchestration (Apache Camel, Temporal, Mulesoft)
Responsibilities

Please refer the Job description for details

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