> Markdown version of [/jobs/ext/1466363-platform-data-ai-operations-engineer](https://www.wearedevelopers.com/jobs/ext/1466363-platform-data-ai-operations-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform, Data & AI-Operations Engineer - **Company:** Sincera Technologies, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), C++ (Programming Language), Cloud Engineering, Continuous Integration, Distributed Systems, Python (Programming Language), Management of Software Versions, Grafana, Backend, Kubernetes, Performance Monitor, Machine Learning Operations, Restful APIs, Data Pipelines, Golang, Programming Languages - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/175863eb-3227-4f9c-84e6-0872ae3c7a80 ## About the Role * Strong experience in building and managing backend services using REST APIs and streaming architectures * Hands-on expertise with Kubernetes for container orchestration and deployment * Proficiency in at least one programming language such as Python, Java, Go, or C++ * Experience designing and maintaining data pipelines and clip indexing systems * Solid understanding of MLOps practices, including: * Model registry and versioning * Model serving and deployment * CI/CD for ML workloads * Performance monitoring and lifecycle management Knowledge of cloud-native architectures and distributed systems Familiarity with automation, monitoring, and observability tools Strong problem-solving, communication, and collaboration skills ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes](https://www.wearedevelopers.com/videos/100356-super-scaling-for-the-super-bowl-how-to-survive-30-million-users-hitting-your-backend-in-30-minutes) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)