Expert Manager, Platform Engineering
at BAIN COMPANY
Melbourne VIC 3000, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Nov, 2024 | Not Specified | 09 Aug, 2024 | 3 year(s) or above | Good communication skills | No | No |
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Description:
ABOUT US:
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.
Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
Bain & Company Australia is an equal opportunity employer, committed to ensuring diversity and inclusion in our workplace. We encourage applications from all backgrounds, including those of Aboriginal & Torres Strait Islander descent.
Responsibilities:
WHAT YOU’LL DO
As a Lead Platform Engineer you will design and build cloud-based distributed systems that solve complex business challenges for some of the world’s largest companies. You will draw on your deep software engineering, cloud engineering, and DevOps expertise to design and build technology stacks and platform components that enable cross functional AI Engineering teams to create robust, observable and scalable solutions. As a member of a diverse and globally distributed engineering team, you will participate in the full engineering life cycle which includes designing, developing, optimizing, and deploying solutions and infrastructure at the scale of the world’s largest companies.
CORE RESPONSIBILITIES:
- Cloud solution and distributed systems architecture for full stack AI software and data solutions
- Implementation, testing and management of Infrastructure as Code (IAC) of cloud-based solutions that may include CI/CD, data integrations, APIs, web and mobile apps, and AI solutions
- Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud and Azure
- Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics and AI features and functionality that meet business requirements and user needs.
- Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
- Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
- Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
- Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
- Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
- Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
- Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
- Influence, educate and directly support the analytics application engineering capabilities of our clients
REQUIREMENT SUMMARY
Min:3.0Max:10.0 year(s)
Computer Software/Engineering
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
Melbourne VIC 3000, Australia