Endava plc

AI Ops Engineer

Endava plc • $100K — $120K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field; equivalent experience considered.
  • 2-4 years of professional software engineering experience.
  • Strong programming skills in Python.
  • Hands-on experience developing AI applications using Google Agent Development Kit (ADK) or similar frameworks.
  • Experience deploying applications within Google Cloud Platform (GCP).
  • Familiarity with REST APIs and distributed applications.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities within Agile teams.

Responsibilities

  • Design and maintain AI applications using Python and ADK.
  • Deploy and monitor AI workloads in Google Cloud Platform (GCP).
  • Build scalable, secure cloud-native AI services.
  • Collaborate with stakeholders to create AI solutions.
  • Integrate AI into existing business workflows.
  • Develop Infrastructure as Code (IaC) with Terraform.
  • Troubleshoot production issues and optimize performance.
  • Engage in Agile practices, including code reviews and design discussions.

Benefits

  • Competitive salary package and performance bonuses.
  • Career coaching and global career advancement opportunities.
  • Access to training, certifications, and development programs.
  • Flexibility with hybrid work schedules and hours.
  • Comprehensive wellbeing programs and health resources.
  • Engagement in tech communities, hobby clubs, and diversity initiatives.
Full Job Description
Job Description

NO C2C / UNABLE TO PROVIDE SPONSORSHIP OR WORK ON TRANSFERS AT THIS TIME

We're seeking an AI Operations Engineer with experience building AI-powered applications using Python and Google Cloud Platform (GCP). In this role, you'll design, develop, deploy, and support intelligent AI agents that improve business and operational processes while working with modern cloud infrastructure and emerging agentic AI technologies.
  • 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.


Qualifications
  • 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 Qualifications
  • Experience with Terraform and Infrastructure as Code (IaC).
  • Experience with containerization technologies such as Docker or Kubernetes.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Mobile development experience (Android and/or iOS).
  • Experience integrating AI models into enterprise applications.
  • 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


Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:
  • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.


Additional Employee Requirements
  • Participation in both internal meetings and external meetings via video calls, as necessary.
  • Ability to go into corporate or client offices to work onsite, as necessary.
  • Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
  • Ability to bend, kneel, crouch, and reach overhead, as necessary.
  • Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
  • Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.
  • For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
  • For positions that require business travel and/or event attendance, a valid driver's license and acceptable driving record are required, as driving is an essential job function.

About Endava plc

Endava is a multinational IT services company headquartered in London, United Kingdom. The company provides digital transformation consulting, agile software development, and testing services to clients in various industries including finance, insurance, healthcare, retail, media and technology. Endava has delivery centers in Romania, Moldova, Bulgaria, Serbia, North Macedonia, Argentina, Uruguay, Venezuela, Colombia, Mexico, and Peru. The company was founded in 2000 and went public on the New York Stock Exchange in July 2018.
Learn more about Endava plc
Size
11,001 employees
Market Cap
$4.3 billion
Industry
Information Technology
Net Income
$35.2 million
5 Year Trend
+32.7%
Revenue
$383 million
NASDAQ
DAVA
* Ladders Estimates

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