Description:
    The successful candidates will be responsible for designing, developing and maintaining mission-critical DevSecOps applications and managing systems that allow for the efficient integration and delivery of software services. They will lead the technical scoping, design and delivery of a product deliverable/workstream, and will act as lead technical teams of 3-5 associates.
 
Primary duties may include but are not limited to:
	- Design and implement of all aspects of DevSecOps automation capabilities for applications and ML applications.
 
	- Build DevSecOps automations on cloud (AWS, Azure, or GCP):
 
	- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
 
	- Data science models testing, validation and tests automation.
 
	- Communicate with a team of data scientists, data engineers and architect, document the processes.
 
	- Build CI/CD pipelines orchestration by OpenShift, Tekton, GitLab, GitHub Actions, Circle CI, Airflow or similar tools.
 
	- Automate all aspects of software delivery lifecycle.
 
	- Drive implementation and maintenance of cloud native solutions and practices.
 
	- Develop and strengthen technical skills of team members through coaching and mentoring.
 
	- Work with business stakeholders to ensure alignment of DevSecOps objectives with overall business objectives.
 
	- Collaborate with other technology teams such as development, infrastructure, and QA to ensure smooth deployment and delivery of releases.
 
	- Ensure stable and scalable operation of systems through proactive monitoring, analysis, and problem-solving.
 
	- Ensure best practices are followed in areas such as security, infrastructure, and code quality.
 
	- Foster a culture of automation, continuous improvement, and experimentation.
 
 
Leadership:
	- Provide mentorship to junior associates.
 
	- Identify skills gaps within the team and coordinate training or learning opportunities to address.
 
	- Navigate complex or ambiguous problems and guide the team towards effective solutions.
 
	- Facilitate discussions to resolve technical disagreements, guiding the team towards alignment whilst considering diverse viewpoints.
 
	- Identify potential risks, dependencies and challenges early, working with the team to mitigate them and develop contingency plans.
 
	- Identify performing outliers and proactively highlight to management to ensure appropriate development plan.
 
	- Active contribution to team building initiatives to support team growth and create process efficiencies.
 
 
 
Communication:
	- Communicate with all levels in the company and adjust content to the audience as necessary.
 
	- Engage with the agile team and cross-functional stakeholders to interpret and understand project requirements and business context for potential data solutions.
 
	- Provide impactful insights based on analysis/build outcomes and make recommendations to leadership and influence the team to increase business impact.
 
	- Provide clear executive communication to senior leadership as required to ensure awareness of key product updates and provide a channel of communication between senior leadership and the project team.
 
	- Communicate with cross-functional stakeholders to understand data content and business requirements.
 
	- Articulate clearly the business requirements, project scope and individual responsibilities to the workstream.
 
	- Present technical findings internally.
 
	- Seek and provide regular feedback amongst colleagues and actively share feedback on technical team with the respective managers.
 
 
Requirements:
	- Bachelor’s degree and 5+ years of relevant experience in a DevSecOps or Cloud Engineering role or related field.
 
	- Experience with DevSecOps Frameworks (Gitlab/Github/Tekton/etc),
 
	- Experience with Ansible, ArgoCD and ArgoWorkFlow.
 
	- Experience with Docker and Kubernetes/OpenShift.
 
	- Skillset:
 
	- YAML pipeline design and implementation on GitHub/Gitlab/Tekton or similar.
 
	- Hands on programming – Python/Go/Ruby.
 
	- Serverless stack AWS, AWS SageMaker, GCP.
 
	- Containerisation.
 
	- Experience with AWS/GCP/Azure.
 
	- CloudFormation/Terraform.