Lead Cloud Native Consultant

Who are we?

Cevois a trusted leader in technology delivery on the AWS platform. Established in 2016, we're an Advanced AWS Consulting Partner, headquartered across Sydney, Melbourne, Brisbane and Canberra.

We empower our customers to simplify cloud adoption and accelerate digital transformation by leveraging emerging technologies, modern productivity tools and cloud native platforms.

Drawing on experience across diverse projects and customers, our consultants enable organisations to innovate through modernisation, data and artificial intelligence and advisory services, underpinned by AWS best practice.

Our AWS specialisation and expertise has helped more than 200 organisations stay competitive in a dynamic environment, ranging across start-ups, commercial, enterprise and government customers.

We are a diverse team of people with a shared passion for helping our customers move faster with confidence. Our skilled consultants are curious, passionate and committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored, innovative and reliable solutions.

Role Purpose:

The Lead Cloud Native Developer will be responsible for assessing the current cloud architecture and application landscape, defining a strategic roadmap for modernisation, and leading the implementation of cloud-native solutions on AWS. This role combines technical leadership, strategic thinking, and hands-on development to enable scalable, secure, and cost-efficient cloud solutions following AWS prescriptive modernisation pathways.

Key Responsibilities:

Current State Assessment:

- Conduct comprehensive application portfolio assessments using AWS prescriptive guidance frameworks. You will be the first to engage with new clients and be expected to shape the readiness and commencement of projects.

- Analyze existing application architecture, infrastructure, and deployment processes.

- Identify gaps, risks, and opportunities for modernisation across the application portfolio.

Strategy & Roadmap Development:

- Define a cloud-native strategy aligned with business objectives following AWS’s three-phase approach: Assess, Modernise, and Manage.

- Create a migration and modernisation roadmap for applications and services based on AWS prescriptive modernisation pathways.

- Prioritise applications for modernisation using AWS recommended assessment criteria and business value analysis.

- Develop phased modernisation approaches that balance risk, complexity, and business impact.

Solution Design & Implementation:

- Architect and implement cloud-native applications leveraging AWS services (e.g., ECS/EKS, Lambda, API Gateway, DynamoDB, RDS).

- Apply AWS modernisation patterns including monolith decomposition, microservices integration, and data persistence strategies.

- Design solutions that support AI/ML integration pathways for future innovation and competitive advantage.

- Implement event-driven architectures and serverless patterns to maximize cloud-native benefits.

- Ensure solutions follow best practices for scalability, security, and cost optimisation.

AI-Accelerated Engineering

- Champion the adoption of AI toolchains such as Amazon Q Developer, Bedrock-powered coding assistants and generative AI patterns.

- Help clients embed AI-enabled workflows into SDLC processes for speed, safety and reliability.

- Provide guidance on responsible AI use for engineering teams.

Leadership & Collaboration:

- Act as a technical lead for development teams, providing guidance on cloud-native patterns and AWS modernisation best practices.

- Coach teams on transitioning from monolithic to microservices architectures using AWS prescriptive guidance.

- Collaborate with stakeholders (engineering, security, operations) to align on modernisation priorities and deliverables.

- Drive cultural transformation to support modern software development practices and DevOps methodologies.

Governance & Standards:

- Establish coding standards, CI/CD pipelines, and DevOps practices.

- Implement observability, monitoring, and automated testing frameworks.

Required Skills & Experience:

Technical Expertise:

- Strong experience in AWS cloud services and cloud-native architectures with deep understanding of modernisation pathways.

- Proficiency in application portfolio assessment methodologies and the AWS 7 Rs migration framework.

- Experience with containerisation (Docker), orchestration (Kubernetes/EKS), and serverless technologies.

- Solid programming skills in languages such as Java, Python, or Node.js with modernisation patterns expertise.

- Knowledge of legacy system integration patterns and strangler fig modernisation approaches.

Architecture & Design:

- Experience designing distributed systems, microservices, and event-driven architectures following AWS Well‑Architected principles.

- Knowledge of modernisation design patterns including database decomposition, API gateway patterns, and data synchronisation strategies.

- Understanding of AI/ML integration architectures and data pipeline modernisation for future AI pathway enablement.

- Knowledge of security best practices in cloud environments and modernisation security considerations.

Leadership:

- Proven ability to lead technical teams and drive strategic initiatives.

- Excellent communication and stakeholder management skills.

Tools & Practices:

- Familiarity with Infrastructure as Code (Terraform, CloudFormation).

- Experience with CI/CD tools (GitHub Actions, Jenkins, CodePipeline).

- Hands‑on capability with Amazon Q Developer, GitHub Copilot, or similar AI‑powered engineering tools.

- Experience with AWS AI/ML services (Bedrock, Lambda‑based ML patterns, SageMaker experience welcomed but not essential).

Preferred Qualifications:

- AWS Certified Solutions Architect or AWS Certified Developer with additional modernisation‑focused certifications.

- Background in large‑scale application modernisation projects and portfolio transformation initiatives.

- Experience with multi‑cloud or hybrid environments and complex legacy system modernisation.

- Knowledge of AI/ML services integration and data modernisation for AI readiness.

- Background in Agile methodologies and DevOps culture with experience in organisational transformation.

Our Values

Our Values are intrinsic in everything we do

ONE TEAM - Everything we achieve we achieve as ONE TEAM

We're CURIOUS

RE‑IMAGINE the possible

PEOPLE are the heart of Cevo

OWN IT & GET IT DONE

Benefits

- Company perks including a technology allowance of $2,500

- Strong learning and development culture - $2,000 per year to spend on professional courses + 2 paid days off to attend course and exams

- The support of the Cevo Hive, helping each other to succeed

- We reward and recognize achievements

- Exciting start‑up vibe with enterprise‑level projects and clients.

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