201 – 500 Zaposleni
Sponzor vizuma za kvalificirane delavceObjective Corporation develops software for managing information, documents and business processes. Its products support organisations that need to capture, govern and access records across their operations. The company operates in enterprise software, with a team of 201–500 employees; the supplied profile does not specify current roles or hiring locations.
Principal AWS Platform Engineer
Shape AWS, DevOps and AI infrastructure as a Principal Platform Engineer. Build secure developer platforms for Objective’s SaaS products serving government and regulated industries.
Opis
- Design and advance secure, high-performing cloud platforms, automation and developer tools.
- Set the architecture, standards and roadmap for AWS platforms, DevOps tools and internal developer platforms.
- Create scalable infrastructure and developer tools that teams can use independently.
- Set practices for CI/CD, Infrastructure as Code, repository management and automated deployments.
- Build and operate infrastructure for AI/ML workloads, LLM management, model deployment and AI service orchestration.
- Integrate security, governance, scalability and operational resilience into platform design and engineering.
- Work with senior technology leaders, mentor engineers and guide architecture across product teams.
- Improve platform efficiency, reliability and AWS resource use.
- Assess emerging technologies in cloud, platform engineering and AI.
- Report to the Cloud Operations Director and collaborate with the CTO, CISO, Cloud Operations and Product Engineering teams.
Zahteve
- Hold a valid NV1 clearance or be able to obtain one.
- Bring extensive experience designing and architecting complex, production-grade AWS environments.
- Have strong hands-on platform engineering experience, including internal developer platforms, self-service infrastructure and reusable engineering capabilities.
- Have deep expertise in DevOps, CI/CD and Infrastructure as Code, using Terraform, CloudFormation and GitLab.
- Have experience with modern cloud architectures, including microservices, containers, serverless technologies and distributed systems.
- Have experience managing AI/ML infrastructure and LLM platforms, including model deployment, AI service integration or orchestration.
- Have strong programming and automation skills in Python, Go or Java.
- Understand cloud security, identity and access management, networking and compliance frameworks.
- Have experience with developer portal technologies such as Backstage or similar tools.
- Be able to influence technical strategy, mentor engineers and collaborate with senior stakeholders.
- Experience with security frameworks such as ISO 27001, IRAP, NZISM or Essential Eight is valued.
- Experience with cloud cost optimisation practices is valued.