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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering - **Company:** Goldin Vacationland, LLC - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $121,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Web Accessibility, Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Code Review, Data Infrastructure, Data Security, DevOps, Distributed Systems, Identity and Access Management, Role-Based Access Control, Site Reliability Engineering Practices, Web Content Accessibility Guidelines, Snowflake, Apache Spark, Data Lakes, Apache Kafka, Terraform, Databricks - **Published:** August 10, 2026 - **Apply:** https://walmart.wd504.myworkdayjobs.com/WalmartExternal/job/USA-VIZIO-SERVICES-DENVER-CO-DENVER-Home-Office/XMLNAME--USA--Senior-Manager--Software-Engineering_R-2586271-1 ## About the Role Position Summary...The Senior Manager, Software Engineering (Data Ops/Dev Ops), leads the Data Platform Operations team. This role is responsible for driving operational excellence across our Datalake and Data Platform ecosystem, with a strong focus on DevOps practices, security, cloud cost optimization, deployment reliability, monitoring, maintenance, automation, and AI-enabled optimization. This role partners closely with engineering, data, security, and infrastructure teams to ensure our data platform is secure, scalable, efficient, and highly reliable. The ideal candidate will bring a strong technical and operational mindset, along with proven leadership experience in mentoring engineers, managing complex initiatives, and building platform operations at scale., * Deep understanding of large-scale data platforms, data lakes, and distributed systems. * Hands-on experience with Databricks, Snowflake, Apache Spark, Airflow, Kafka, Delta Lake, Iceberg, or similar technologies. * Strong expertise in GCP-based data platform operations; Azure experience is a plus. * In-depth knowledge of IAM, data security, governance, compliance, and audit requirements. * Experience in cost optimization across storage, compute, and tooling. * Familiarity with SRE principles, automation, monitoring, and incident management. * Strong automation mindset enhancing operational efficiency. * Effective collaboration with cross-functional stakeholders and mentoring of technical teams. * Excellent communication, problem-solving, and strategic thinking skills., Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years' experience in software engineering or related area. Option 2: 7 years' experience in software engineering or related area. 2 years' supervisory experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. ## Description The Data Platform Operations team plays a pivotal role in ensuring the robustness and efficiency of our data ecosystem. Comprising experts in Data ops and DevOps, the team excels in managing a secure, scalable, and reliable platform that supports business-critical data processes. They leverage advanced tools and practices to enhance operational maturity. By fostering a culture of innovation and collaboration, the team partners with engineering, data, security, and infrastructure divisions to drive improvements in deployment reliability, cost efficiency, and data security, all while maintaining rigorous technical standards and continual mentorship. What you'll do: * Lead the Data Platform Operations team to drive operational strategy for the Data Lake and related services. * Enhance data security and governance by improving access provisioning and compliance standards. * Implement Infrastructure-as-Code (Terraform) and automation to streamline operations. * Improve cloud cost efficiency through tuning across storage, compute, and networking. * Collaborate with security teams to strengthen IAM, RBAC, and compliance. * Apply SRE practices for standardized deployments and improved resilience. * Enhance monitoring and observability for reliability. * Oversee maintenance, scaling, and automation of operational workflows. * Integrate AI-driven optimization for performance improvement * Mentor engineers, guide architectural decisions, promote technical quality through rigorous testing and code reviews. ## Related Videos - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)