Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Endava

AI Ops Engineer

Endava

AI Ops Engineer developing and maintaining AI applications using Python and Google Cloud Platform. Collaborate with stakeholders to integrate AI capabilities into enterprise applications.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI applications using Python and the Google Agent Development Kit (ADK), while effectively deploying and managing AI workloads in Google Cloud Platform (GCP). Proficient in Infrastructure as Code (IaC) with Terraform and experienced in Agile methodologies for collaborative software development.

Highest-signal resume keywords
Python ProgrammingGoogle Agent Development Kit (ADK)Google Cloud Platform (GCP)Infrastructure as Code (IaC)Terraform

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Application DevelopmentREST API DevelopmentCloud ServicesDistributed ApplicationsApplication Performance OptimizationSoftware TestingMonitoring Best Practices
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills
Tools & Technologies
TerraformDockerKubernetesCI/CD Pipelines
Certifications & Qualifications
Google Associate Cloud EngineerGoogle Professional Cloud DeveloperGoogle Professional Cloud Architect
Industry Keywords
Agile MethodologiesCloud-Native ServicesAI Development StandardsEnterprise Applications Integration

Tech Stack

Tools & technologies
AndroidCloudDockerGoogle Cloud PlatformiOSKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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