Posted last month
MLOps Engineer - INTL India
@ Insight Global
Vancouver, British Columbia
Overview
Insight Global is hiring an AI DevOps / MLOps Engineer on contract for a platform engineering team at a AAA gaming company. The role keeps Kubernetes-based AI and cloud-native services stable, secure and reliable, covering CI/CD, incident response and day-to-day troubleshooting across global teams. The posting states the role is an INTL India contract position.
Pay:
From $22 an hour
Responsibilities:
- Maintain Kubernetes-based deployments across dev and production
- Manage and troubleshoot GitFlow CI/CD pipelines
- Support AI services, RAG pipelines and model evaluation workflows
- Build monitoring, alerting, dashboards and runbooks
- Serve as technical resource during production incidents
Requirements summary:
- 5+ years in DevOps, MLOps, SRE or cloud engineering
- 2-4 years with Docker, Helm, ArgoCD and CI/CD
- Experience with Kubeflow or similar orchestration platforms
- Experience with Azure OpenAI, Azure AI Search and RAG
- Experience with OpenCity or similar developer platforms
Tools & skills
Source and dates
Source type not verified · insightglobal
- Employer posting date
- 2026-09-29
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-03
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Insight Global
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Insight Global is a talent, consulting, and AI company.
Full company description
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering deliver solutions tailored to each customer’s needs. As those needs evolve, so do we. As we evolve, though, we stay true to our purpose: to develop people personally, professionally, and financially so they can be the light to the world around them. It shows up in everything we do, from investing in our people to delivering results for our customers to making a meaningful impact in our communities.
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- 1224 Hammond Drive, Suite 1500, Atlanta, Georgia 30346, US
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- Business categories
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- Other recorded names
- Insight Global
- Specialties
- Consulting
- Talent Services
- Staffing
- and International Staffing
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world. We obsess over solving problems and building solutions that move our customers further, faster. With access to top talent in more than 50 countries, our tech-enabled recruiters can build teams quickly. Our technical experts across Cloud, AI, Data, Enterprise Operations, and Applied Engineering…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 1,001-5,000 employees |
| Headquarters | Atlanta, Georgia |
| Organization type | Privately Held |
| Year founded | 2001 |
| Specialties | ConsultingTalent ServicesStaffingand International Staffing |
| Open jobs on Jobsy | 275 |
| View page |
- 5+ years of experience in DevOps, MLOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Engineering, with strong hands-on production Kubernetes experience.
- 2-4 years of experience building, deploying, and supporting containerized applications using Docker, Helm, ArgoCD, CI/CD pipelines, and GitFlow methodologies.
- Experience with Kubeflow or similar machine learning workflow orchestration platforms.
- Experience supporting applications and services within Azure environments, including familiarity with Azure OpenAI, Azure AI Search, RAG architectures, and LLM-powered services.
- Experience operating production systems with monitoring, alerting, incident response, operational support, observability tooling (logs, metrics, dashboards, alerts), and runbook creation.
- Experience with OpenCity or similar internal developer platforms and cloud enablement tools.
- Strong troubleshooting skills across Kubernetes, networking, infrastructure, secrets management, cloud dependencies, and application services.
- Understanding of reliability engineering principles including scaling, health probes, retries, timeouts, failover, recovery, rollback strategies, and graceful degradation.
Job Description
Insight Global is seeking an seeking an AI DevOps / MLOps Engineer to join a platform engineering team for a AAA gaming company focused on maintaining and supporting production AI and cloud-native applications. This is a hands-on operational role responsible for keeping Kubernetes-based services stable, secure, and reliable across global engineering teams.
Key Responsibilities:
- Maintain and support Kubernetes-based application deployments across development and production environments.
- Manage and troubleshoot GitFlow-based CI/CD pipelines used by multiple engineering teams.
- Support containerized workloads using Docker, Helm Charts, ArgoCD, and Kubernetes.
- Perform platform maintenance activities including security upgrades, patching, dependency updates, and infrastructure improvements.
- Partner with engineering teams across North America and Eastern Europe to resolve production issues and operational challenges.
- Troubleshoot application, infrastructure, networking, and deployment issues across Kubernetes clusters.
- Support AI services, model evaluation workflows, RAG pipelines, automation services, and related cloud-native applications.
- Improve reliability through monitoring, alerting, health checks, readiness probes, retries, scaling strategies, and rollback procedures.
- Build and maintain operational dashboards, logging, metrics, alerts, and runbooks.
- Investigate incidents, identify recurring failure patterns, and implement operational improvements to increase platform resiliency.
- Provide day-to-day support for engineering teams during active troubleshooting scenarios, serving as a technical resource when production issues arise.
- Collaborate with platform, AI, and operations teams to establish operational best practices for running production services.
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