Sr Software Engineer (AIopsMLops)

About Gartner IT

Join a world-class team of forward-thinking engineers dedicated to delivering innovative digital solutions that empower our analysts and clients. At Gartner IT we drive organizational transformation through advanced technology fostering a culture of continuous innovation outcome-oriented execution and the belief that impactful ideas can originate from any team member.

About the Role:

AIOps Engineer - We are seeking an AIOps Engineer to drive the implementation and optimization of AI-powered operations for agentic systems across our cloud infrastructure. This role combines expertise in cloud services machine learning operations and automation to enable intelligent self-managing systems that enhance our operational efficiency and reliability. You will be instrumental in building and maintaining the infrastructure that powers our next-generation AI agents and automated workflows.

Key Responsibilities:

• Design develop and deploy scalable AIOps solutions leveraging AWS services including SageMaker S3 Glue Kinesis ECS and EKS for intelligent automation and monitoring.

• Build and maintain contact center solutions at scale integrating AI-driven capabilities for enhanced customer experience and operational efficiency.

• Implement and manage container orchestration using Kubernetes across multi-cloud environments ensuring high availability and scalability of AI services.

• Develop and maintain machine learning pipelines for model training deployment and data management across cloud-native and cloud-agnostic environments.

• Design and implement ChatOps solutions integrated with AIOps automation to enable conversational interfaces for operational tasks and incident management.

• Architect and build data lake solutions data pipelines and inference pipelines using event driven architectures to support real-time AI decision-making.

• Automate model lifecycle management including versioning CI/CD testing deployment observability monitoring and governance aligned with enterprise standards.

• Integrate Generative AI capabilities (LLMs multimodal models) into business workflows to enhance automation productivity and decision intelligence.

• Develop Python-based automation scripts and tools for rule management system integration and orchestration of cloud services.

• Maintain robust CI/CD pipelines using Kafka Azure DevOps and AWS DevOps for continuous delivery of AIOps solutions.

Required Qualifications:

• 4 years of experience in cloud engineering DevOps or ML engineering with focus on operational automation.

• Hands-on experience with AWS services including SageMaker S3 Glue Kinesis ECS and EKS.

• Proficiency in container orchestration with Kubernetes and experience in multi-cloud environments.

• Strong programming skills in Python with experience in automation integration and API development.

• Experience with ML model deployment and monitoring in production environments.

• Knowledge of event-driven architectures and streaming technologies (particularly Kafka).

• Familiarity with CI/CD practices using Azure DevOps and AWS DevOps.

• Understanding of data pipeline architectures and experience building ETL/ELT workflows.

• Experience with API development using frameworks like FastAPI or Flask.

• Knowledge of infrastructure as code and configuration management tools.

Preferred Qualifications:

• Experience with MLOps/GenAIOps tools and frameworks (MLflow SageMaker Bedrock LangSmith LangGraph).

• Hands-on experience implementing ChatOps solutions and conversational AI interfaces.

• Experience conducting research and proof-of-concepts for emerging GenAI tools (LangChain MS Copilot OpenAI Agent Builder).

• Knowledge of workflow orchestration frameworks (Airflow Prefect).

• Experience with contact center technologies and solutions.

• Familiarity with observability platforms and AIOps monitoring tools. Understanding of model governance explainability and responsible AI practices.

• Experience with vector databases and RAG architecture.

• Cloud certifications (AWS Certified Solutions Architect Machine Learning Specialty).

Dont meet every single requirement We encourage you to apply anyway. You might be the right candidate for this or other roles.

#LI-VG1

Who are we

At Gartner Inc. (NYSE:IT) we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable objective business and technology insights helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979 weve grown to 21000 associates globally who support 14000 client enterprises in 90 countries and territories. We do important interesting and substantive work that matters. Thats why we hire associates with the intellectual curiosity energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work

Our vast virtually untapped market potential offers limitless opportunities opportunities that may not even exist right now for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together our singular unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies cultures religions ethnicities races genders sexual orientations abilities and generations.

We invest in great leaders who bring out the best in you and the company enabling us to multiply our impact and results. This is why year after year we are recognized worldwide as a great place to work.

What do we offer

Gartner offers world-class benefits highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment we provide the flexibility and support for you to thrive working virtually when its productive to do so and getting together with colleagues in a vibrant community that is purposeful engaging and inspiring.

Ready to grow your career with Gartner Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race color creed religion sex sexual orientation gender identity marital status citizenship status age national origin ancestry disability veteran status or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Companys career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at 1 or by sending an email to.

By submitting your information and application you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link: efficient navigation through the application please only use the back button within the application not the back arrow within your browser.