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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering & DevOps - **Company:** OPIE, SARAH J - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** Testing (Software), Application Programming Interfaces (APIs), Agile Methodology, Business Analytics Applications, Data Analysis, ARM Architecture, Confluence, JIRA, Cloud Engineering, Code Review, Collaborative Software, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Database Development, DevOps, Github, JSON, Python (Programming Language), Machine Learning, Metadata, Operational Data Store, Systems Development Life Cycle, Release Management, Shell Script, Software Deployment, Software Engineering, Data Processing, Data Ingestion, Large Language Models, Snowflake, Prompt Engineering, Git, Deployment Automation, Apache Kafka, Database Replication, Video Streaming, Software Version Control, Data Pipelines, Jenkins, Servicenow - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/ae305f58-1b92-4d23-8682-b609c49012cb ## About the Role * We are looking for a motivated and technically curious Data Modeler/Al Engineer with approximately 3-7 years of experience to join our growing team. The successful candidate will help accelerate the onboarding of new data sources into the Lighthouse platform, design semantic data models for Al consumption, and contribute to the continued evolution of OpsRadar's Al capabilities., Core Technical Skills: * 3-7 years of software engineering, data engineering, or platform engineering experience. * Strong knowledge of Snowflake including SQL development, data modeling, and platform administration. * Experience with Snowflake Cortex Al capabilities or a strong desire to leam Al technologies. * Understanding of Al and machine learning concepts, including Large Language Models (LLMs), Retrieval-Augmented * Generation (RAG), Al agents, and prompt engineering. * Experience designing logical and physical data models. * Familiarity with semantic modeling concepts and business-facing data abstractions. * Strong SQL development and data analysis skills. SDLC & Engineering Practices: * Experience working with Git-based source control. * Familiarity with CI/CD concepts and tools such as Jenkins, GitHub Actions, or similar platforms. * Experience working within Agile SDLC processes. * Familiarity with Jira, Confluence, and related engineering collaboration tools. * Understanding of software testing, release management, and deployment best practices. Desired / Preferred Skills: * Experience with Kafka or other event-streaming technologies. * Experience with HVR or similar data replication tools. * Experience building ETL/ELT pipelines. * Familiarity with Linux/Unix environments and shell scripting. * Experience with Python for automation and data processing. * Knowledge of APis, JSON, and integration patterns. * Experience working with data governance, metadata, lineage, or data quality frameworks. * Exposure to cloud-native architectures and modern data platforms. Preferred Domain Knowledge: * IT Service Management (ITSM) concepts and platforms such as ServiceNow Operational analytics, observability, monitoring, and incident management. * SRE and operational support practices. * Asset, configuration, change, incident, and problem management data domains. * Enterprise-scale date and analytics platforms. What We Are Looking For * Strong problem-solving and analytical skills. * Curiosity and a willingness to learn emerging Al technologies. * Ability to communicate effectively with both technical and non-technical stakeholders. * Self-motivated and collaborative team player. * Passion for building innovative solutions that deliver measurable business value. * Ability to work across multiple projects in a fast-paced and evolving environment. ## Description * OpsRadar is an Al-powered operational intelligence platform that enables users to interact with enterprise operational data using natural language. Built on Snowflake Cortex Al technologies, semantic data models, and a growing ecosystem of operational data sources, OpsRadar provides intelligent insights across incidents, changes, alerts, assets, configuration data, and other operational domains., Data Onboarding & Platform Development: * Support the onboarding of new operational datasets into the Lighthouse data platform. * Partner with data owners and subject matter experts to understand date structures, business processes, and use cases. * Develop and maintain scalable ingestion pipelines and data processing workflows. * Implement data quality controls, validation checks, and reconciliation processes. * Support operationalization of new datasets from development through production deployment. Semantic Data Modelling: * Design and maintain semantic models that enable natural language querying through Al applications. * Define business entities, metrics, relationships, dimensions, and business terminology. * Collaborate with stakeholders to ensure semantic models accurately reflect operational processes. * Validate Al-generated results and continuously improve model quality and usability. * Help build reusable semantic modelling standards and best practices. Al & Snowflake Development: * Develop and enhance capabilities leveraging Snowflake Cortex Al services. * Support the configuration and testing of Cortex Agents, semantic views, and Al-driven workflows. * Assist in prompt development, evaluation, and optimization activities. * Contribute to the design of Al-powered solutions that improve operational efficiency and user experience. * Participate in experimentation and adoption of emerging Al technologies and methodologies. Software Engineering & DevOps: * Contribute to all phases of the Software Development Lifecycle (SDLC). * Develop, test, deploy, and support production quality solutions. * Build and maintain CI/CD pipelines and automated deployment processes * Participate in code reviews and engineering best practices. * Support troubleshooting, monitoring, and operational support activities ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)