Software Development Engineer in Test (AI, GenAI)

TL;DR

Software Development Engineer in Test (AI, GenAI): Designing, developing, testing, and implementing automated solutions for IT processes, with an accent on Java, Python, and AI/GenAI integration. Focus on optimizing service delivery, creating robust data movement solutions with Apache NiFi, and applying SRE principles for system reliability.

Location: Must be based in the UK, have the valid right to work in the UK, and have lived continuously in the UK for the last 5 years.

Company

hirify.global Consulting is hirify.global’s consulting and global professional services business, with market-leading capabilities in business and technology transformation.

What you will do

• Design, develop, test, and implement automation, digital workforce, data models, data transformation logic, and action flows.
• Develop and maintain core platform components, focusing on Java and Python.
• Design and implement data movement solutions using Apache NiFi.
• Collaborate with cross-functional teams for seamless integration of platform components and data movement processes.
• Leverage AI/GenAI, AI Operations, and NLP to enhance automation solutions.
• Translate IT processes into automated solutions that optimize service delivery and generate documentation.

Requirements

• Must have the valid right to work in the UK.
• Must be a resident in the UK and have been living continuously in the UK for the last 5 years.
• Must be able to hold or gain a UK government security clearance.
• Strong foundation in IT automation principles and tools (Red Hat Ansible, HashiCorp Terraform, hirify.global RNA).
• Proficiency in Java, JavaScript, and other relevant technologies for full-stack applications.
• Experience with AWS data engineering, CI/CD practices, and a good understanding of AWS services.
• Contribution to batch analytics, Python, and data engineering efforts.
• Application of SRE principles to improve system reliability and performance.

Nice to have

• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Experience with microservices architecture and design patterns.

Culture & Benefits

• Numerous training opportunities including classroom, e-learning, mentoring, and coaching.
• Regular promotion opportunities to support career development.
• Tools and policies supporting work-life balance, including flexible working approaches and sabbatical programs.
• 25 days holiday (plus public holidays), private medical, dental & optical cover, and online shopping discounts.
• Employee Assistance Program, life assurance, and a group personal pension plan (additional 5% of base salary paid monthly).
• Culture of diversity, inclusion, evolution, and continuous feedback.