Note: The job is a remote job and is open to candidates in USA. CSAA Insurance Group is a AAA insurer that builds innovative, human-centered solutions to help members prevent, prepare for, and recover from life's uncertainties. The Software Engineer III will lead the operational excellence, reliability, support, governance, and lifecycle management of enterprise AI/ML and data platforms. The role focuses on MLOps, automation, observability, incident resolution, deployment support, and collaboration across engineering, data, infrastructure, security, and product teams.
Responsibilities
- Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies
- Ensure platform reliability, scalability, performance, security, and operational readiness for production AI workloads
- Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services
- Establish operational standards, support models, service-level objectives (SLOs), and platform governance practices
- Design and implement automation, monitoring, observability, and operational tooling to improve platform reliability and efficiency
- Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks
- Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes
- Implement best practices for MLOps, model monitoring, model lifecycle management, and AI operational governance
- Serve as a senior escalation point for complex production issues involving AI platforms, machine learning workloads, cloud infrastructure, and data integrations
- Lead root cause analysis efforts and drive corrective and preventive actions to improve platform stability
- Solve performance, availability, deployment, and integration issues across AI and data ecosystems
- Partner with engineering and business teams to rapidly restore service and minimize operational risk
- Provide mentorship, technical guidance, and operational expertise to engineers and platform teams
- Influence platform strategy, architecture decisions, operational processes, and technology adoption
- Collaborate with team members to align platform capabilities with business priorities and AI adoption goals
- Communicate complex technical concepts effectively to both technical and non-technical audiences
- Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices
- Identify opportunities to improve operational efficiency, governance, security, and developer experience
- Champion modern engineering practices including automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps)
Skills
- * 3+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines
- * Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
- * Experience supporting production cloud-based applications and services in AWS environments
- * Strong experience with software engineering and automation using languages such as Python, Java, JavaScript/TypeScript, or Node.js
- * Experience with CI/CD, build, integration, and deployment tools such as Jenkins, Maven, GitHub Actions, or equivalent
- * Experience with cloud-native services including compute, storage, networking, databases, and serverless architectures
- * Experience building and maintaining operational monitoring, observability, and alerting solutions
- * Strong troubleshooting, incident response, and root cause analysis skills
- * Excellent communication, collaboration, and technical leadership capabilities
- Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska
- CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.)
- * Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks, or similar ecosystems
- * Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration frameworks, and Retrieval-Augmented Generation (RAG) architectures
- * Knowledge of MLOps practices including model deployment, monitoring, governance, experimentation, and lifecycle management
- * Experience with observability and monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, CloudWatch, or OpenTelemetry
- * Familiarity with AI governance, responsible AI principles, model risk management, and operational controls
- * Relevant cloud, AI/ML, DevOps, or platform engineering certifications
Benefits
- Annual bonus eligibility for most roles
- 401(k) with a company match
- Leaders and mentors partner with employees to align interests, unlock development opportunities, and support long‑term success
- Remote-first culture through our Flexible Workplace
- Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices
Company Overview