Cloud Engineer

Information and data are at the core of the organisation’s operations, and as a result, needs to develop and maintain a range of software systems and capabilities to enable end-to-end collection, processing, storage and analysis of clinical samples and genetic sequencing data. Systems developed and used by the company must ensure the security, integrity and availability of data and services at every stage of the process.

We require an experienced AWS DevOps engineer to support the deployment and operation of key applications and systems require to support company operations.

The applicant must be able to demonstrate a solid track record in working with AWS in a DevOps capacity as they will play a significant role in developing the AWS DevOps capabilities of the company.

 

Duties and Responsibilities

  • Scripting of deployment and management processes for both infrastructure and application components.
  • AWS services, application and network configuration and administration.
  • Working with development teams to ensure AWS oriented application design and implementation.
  • Developing and maintaining Infrastructure Components for Data Pipelines and Data Analysts.
  • Contribution to and enforcement of technical standards and best practices.
  • Technical investigation and problem resolution for AWS-based solutions.
  • Creating and maintaining technical documentation.
  • Contribute to the development and maintenance of policies and procedures.
  • Developing and maintaining the Kubernetes infrastructures
  • Developing and maintaining our configuration management systems
  • Improving and automating backend processes
  • Acting on operational incidents that occur and in turn enable alerts on those incidents

 

Qualifications:

  • Bachelor’s degree (minimum) or equivalent in Computer Science.
  • AWS Certifications to Professional level.
  • Minimum of two years’ industry experience in a Cloud/DevOps role.
  • Experience of leveraging AWS native services and features.
  • Designing and implementing AWS infrastructure solution in line with best practice.
  • Detail knowledge and use of a full range of AWS services (Lamba, RDS, SQS, SNS, Pipelines, CloudFormation, etc.)
  • Experience of working in an Agile DevOps focused team.

Preferred Experience

  • Demonstrated ability to work independently, negotiate obstacles and figure out solutions.
  • Ability to plan, coordinate and prioritise tasks and achieve project deadlines.
  • Excellent communication skills including written and verbal English skills.
  • Detail-oriented and conscientious.
  • Organisational and time management skills are essential.
  • Excellent problem solving and troubleshooting skills.
  • Self-motivated and proactive with the ability to manage own workload effectively.
  • Significant hands-on experience with Amazon Web Services
  • Experience with containers and container orchestration, preferably Kubernetes
  • Proven experience in delivering projects and services at Enterprise level.
  • Experience with commercial monitoring and security applications such as DataDog, ELK Stack, Tenable.

 

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EEO Policy Statement: It is the policy of Genuity Science to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Genuity Science will provide reasonable accommodations for qualified individuals with disabilities.

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Improving Lives Through Genomics

At Genuity Science, our mission depends on the shared commitment of our people, dedicated to helping us create a new reality for the future of health.

We serve the world’s leading life sciences companies including biotechnology, pharmaceutical companies and medical research centers. Our partners all use insights from genomic data to improve health. Our capabilities include providing access to population-scale patient cohorts for research, next generation sequencing (NGS) labs globally, and a team of the world’s leading genomic analysis and A.I. experts and technologies for organizing, mining and sharing genomic and disease biology data.

Employee Benefits include:

  • Private Health Insurance
  • Pension
  • Life Insurance
  • Stock Options
  • Generous Holiday Policy
  • Income Protection
  • Cycle to Work Scheme
  • Commuter Saver Scheme
  • Healthy Snacks
  • Office Shower Access