Top Senior Level DevOps Jobs in Salt Lake City, UT

As a Manager of Detection & Response Engineering at Expel, you will lead a team to enhance the detection and response capabilities of the Workbench platform, improve operational efficiency through automation, and collaborate with analysts to prioritize key security issues, ensuring a fast and effective response to potential security incidents.

As a Senior Software Engineer at Speechify, you will contribute to developing state-of-the-art voice cloning and low latency text-to-speech solutions. You will leverage AWS/GCS for service architectures, build scalable microservices, and write testable code, all while optimizing frontend and backend performance.

The Software Architect will oversee the technical development of features for a data privacy application, collaborating with engineers, product managers, and UX designers. Responsibilities include crafting production-quality code, leading design discussions, conducting code reviews, and creating automated unit tests, alongside troubleshooting customer issues.

The SAP S/4 Transformation Architect will lead and support large-scale Federal SAP S/4HANA transformation programs, ensuring inclusive design decisions and change management success. Responsibilities include aligning business processes with stakeholder needs, collaborating on architecture design, providing recommendations for application and infrastructure architecture, and guiding technology migration strategies.

The Senior Software Engineer will build new applications and drive design practices, develop efficient code, participate in code reviews, and support team members' growth. Responsibilities include collaborating in agile sessions, contributing to best practices, and guiding software development into production.

The Senior Software Engineer will support developer velocity, optimize CI build and test times, and enhance the development stack for internal and external contributors. This role requires hands-on experience in decentralized protocols and involves working with tools like Docker and Kubernetes.

The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.