Principal Software Engineer Consultant

Who are we?

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

We empower our customers to simplify cloud adoption and accelerate digital transformation byleveragingemerging technologies, modern productivitytoolsand 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 andexpertisehashelped 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,passionateand committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored,innovativeand reliable solutions.

Role Purpose:

The Principal Cloud Native Developer willbe responsible forassessing 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.
- Analyzeexisting application architecture, infrastructure, and deployment processes.
- Identifygaps, risks, and opportunities for modernisation across the application portfolio.

Strategy & Roadmap Development:

- Define a cloud-native strategy aligned with businessobjectivesfollowing 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 applicationsleveragingAWS 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 maximise cloud-native benefits.
- Ensure solutions follow best practices for scalability, security, and cost optimisation.

AI-Accelerated Engineering

- Champion the adoption of AI toolchains such asAmazon 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.
- Proficiencyin 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 patternsexpertise.
- 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 withAmazon 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 withadditionalmodernisation-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 wedo

ONE TEAM - Everything we achieve we achieve as ONE TEAM

We'reCURIOUS

RE-IMAGINE the possible

PEOPLE are the heart ofCevo

OWN IT & GET IT DONE

Benefits

- Companyperksincluding 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 andexams
- The support of theCevoHive, helping each other tosucceed
- We reward and recognizeachievements
- Exciting start-up vibe with enterprise-level projects and clients.

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