The Sr. DevOps Engineer designs, builds, and administers continuous integration and continuous delivery (CI/CD) solutions for applications and infrastructure in alignment with Assurant standards and the approved technology stack. The primary function of this role is to own and operate a shared, high-availability Azure API Management (APIM) platform, ensuring availability, performance, security, and compliance (including TLS certificate lifecycle management) for SLA/SLO-backed, high-priority clients. The role also supports application deployments and release activities (for example, deployment planning, release coordination, and release automation), builds Azure cloud and platform capabilities, and standardizes and automates delivery and operational workflows (for example, automated quality gates, self-service provisioning, and standardized deployment processes). The role maintains configuration and automation tooling to establish repeatable practices and standards. Training: Develops and promotes software-defined operations and infrastructure-as-code practices. Troubleshoots complex system and pipeline issues, shares lessons learned, and contributes to team enablement through documentation, pairing, and knowledge transfer. Strategy: Leads automation of configuration management and CI/CD across development, QA, UAT, pre-production, and production environments, including infrastructure-as-code (IaC) services. Owns the operational strategy for the shared Azure API Management (APIM) platform, including platform health, scaling/performance, upgrades/patching, certificate currency, and change practices required to meet stringent SLAs. Follows the defined SDLC and leverages reusable components to accelerate delivery. Owns ongoing improvements to configuration management tools, shared modules, and pipeline templates to streamline implementation, improve reliability, and reduce operational toil. Design and Development: Builds and optimizes enterprise-grade automation platforms and pipelines. Defines scaling, resilience, and deployment strategies; develops automation scripts and solutions to streamline provisioning, implementation, and testing of technology services. Creates self-service capabilities that enable engineering teams to deliver at speed with quality and reliability. Provides architectural input and technical leadership for DevOps tooling and platform standards. Collaboration and Support: Partners with application, security, and infrastructure teams to design and implement CI/CD, IaC, and operational practices. Develops and maintains reusable tools and patterns (for example, shared pipeline tasks and modules). Supports application deployments and release execution by coordinating cutovers, implementing deployment strategies (blue/green, canary, rolling), and improving release automation and operational readiness (runbooks, validations, and rollback). Implements automated controls for releases and deployments and produces audit evidence to support audit review and compliance requirements. Performs cross-coverage support for deployments when other DevOps and Release Engineering team members are unavailable to ensure release continuity. Provides implementation support, operational documentation, and on-call/incident support as needed to meet quality, security, and reliability standards. Knowledge: Stays current on industry best practices and emerging technologies related to CI/CD, IaC, cloud platforms, observability, and secure software supply chains, including responsible and enterprise-safe use of AI-assisted developer tools. Researches, pilots, and helps operationalize improvements (for example, metrics/telemetry and automated quality gates) that can be reused across software delivery efforts. Promotes modern ways of working and continuous improvement. Key Skills: AI & Process Automation Responsible use of AI-assisted developer tools (for example, GitHub Copilot, Claude Code, or similar) to accelerate scripting, pipeline/IaC development, troubleshooting, and documentation. Enterprise-safe usage patterns: data-handling awareness, prompt hygiene, code review expectations, and validation/testing of AI-generated output. Automation-first mindset: standardize and automate delivery and operations workflows (self-service provisioning, automated quality gates, deployment automation, and operational runbooks). Process automation and integration across toolchains (CI/CD, ITSM/change processes, notifications/ChatOps, and observability) to reduce toil and improve reliability.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior