AI Ops Engineer

🔥 14 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Endava

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2023-02

Healthcare • Marketing • Logistics

Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.

📋 Description

• Design, develop, and maintain AI applications and intelligent agents using Python and the Google Agent Development Kit (ADK) • Deploy, manage, monitor, and optimize AI workloads within Google Cloud Platform (GCP) • Build scalable, secure, and maintainable cloud-native AI services • Partner with business stakeholders, architects, software engineers, and data teams to translate business requirements into AI-enabled solutions • Integrate AI capabilities into existing enterprise applications and business workflows • Develop and maintain Infrastructure as Code (IaC) using Terraform to support automated cloud deployments • Troubleshoot production issues, optimize application performance, and continuously improve reliability and scalability • Participate in Agile ceremonies, sprint planning, code reviews, and technical design discussions • Contribute to engineering best practices, reusable frameworks, and AI development standards

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience) • 2–4 years of professional software engineering experience • Strong programming skills in Python • Hands-on experience developing AI applications using the Google Agent Development Kit (ADK) or similar agentic AI frameworks • Experience developing and deploying applications within Google Cloud Platform (GCP) • Experience working with REST APIs, cloud services, and distributed applications • Strong analytical and problem-solving skills • Excellent communication and collaboration skills within Agile teams • Preferred: Experience with Terraform and Infrastructure as Code (IaC) • Preferred: Experience with containerization technologies such as Docker or Kubernetes • Preferred: Familiarity with CI/CD pipelines and DevOps practices • Preferred: Mobile development experience (Android and/or iOS) • Preferred: Experience integrating AI models into enterprise applications • Preferred: Knowledge of software testing, monitoring, and production support best practices • One or more of the following certifications is a plus: Google Associate Cloud Engineer, Google Professional Cloud Developer, Google Professional Cloud Architect

🏖️ Benefits

• Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus • Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership • Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences • Hybrid work and flexible working hours, employee assistance programme • Global internal wellbeing programme, access to wellbeing apps • Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations