2 hours ago
Mexico (city not specified)Senior
Responsibilities
- Design, build, and maintain highly available AWS infrastructure using services including ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, IAM, and networking capabilities.
- Modernize and operate CI/CD pipelines with reusable workflows, automated testing, security controls, deployment automation, and rollback strategies.
- Develop Terraform Infrastructure as Code modules, testing practices, versioning, and safe deployment patterns.
- Build and maintain Docker-based containerized and serverless application delivery systems.
- Support AI-enabled applications through secure model and API integrations, evaluation workflows, observability, and deployment controls.
- Design and automate corporate IT and TechOps systems, including identity and access management, SSO, SaaS administration, endpoint management, onboarding, offboarding, and access reviews.
- Maintain monitoring, alerting, dashboards, and logging using Datadog or similar observability platforms.
- Lead incident response, root cause analysis, postmortems, and corrective actions across production and corporate technology systems.
- Apply security-first infrastructure, IAM, networking, software delivery, and corporate systems practices supporting ISO 27001, SOC 2, HIPAA, and other requirements.
- Collaborate with Engineering, Data, Security, and business teams to improve developer experience and reduce operational complexity.
- Provide advanced technical support, documentation, playbooks, architectural discussions, and knowledge sharing.
Requirements
- 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, Cloud Engineering, Systems Engineering, or related production infrastructure roles.
- Expert hands-on experience with AWS infrastructure and services, particularly ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, IAM, and networking.
- Advanced experience designing and managing CI/CD pipelines with GitHub Actions or similar technologies.
- Strong proficiency with Terraform for Infrastructure as Code, including reusable modules, testing, and environment management.
- Hands-on experience with Docker, container registries, and AWS container services.
- Strong scripting and automation skills with Bash, Python, Ruby, or Go.
- Experience managing identity management, SSO/MFA, SaaS administration, endpoint management, and automated employee lifecycle processes.
- Experience with AI-assisted development tools such as GitHub Copilot or coding agents and familiarity with infrastructure for AI-enabled applications.
- Experience building reliable and observable systems using Datadog or similar platforms for metrics, logs, traces, and alerting.
- Strong understanding of distributed systems, Linux, networking, DNS, security, autoscaling, and cloud-native operations.
- Strong debugging, problem-solving, and incident response skills across application, infrastructure, and corporate technology environments.
- Experience supporting AI/LLM applications, Amazon Bedrock, model APIs, AI evaluation pipelines, or AI-specific observability is preferred.
- Experience managing Kubernetes/EKS, Helm, KEDA, cluster operations, and workload management is preferred.
- Experience with Okta, Google Workspace, Microsoft 365, Jamf, Intune, or equivalent identity and device management platforms is preferred.
- Experience with cloud cost optimization, regulated environments, Snowflake, PostgreSQL, Redis, RabbitMQ, Bottlerocket, Puma, Ruby-based applications, or prior Software Engineer/Full Stack Engineer work is preferred.
Benefits
- Flexible, collaborative work culture with emphasis on teamwork and ownership.
- Professional growth, continuous learning, and skill advancement opportunities.
- Global career opportunities across multidisciplinary technology teams.
- Innovative, high-impact work environment and global community of creators and technology leaders.
- Competitive total compensation and comprehensive employee benefits, with specifics tailored to location and contractual employment type.
Tech Stack
AWSBashDatadogDockerGitHub ActionsGoHelmKubernetesLinuxPostgreSQLPythonRabbitMQRedisRubySnowflakeTerraform
Categories
DevOpsSite Reliability
About Wizeline
Wizeline is a global technology services firm that designs and builds digital products and platforms for enterprises, offering product development, UX, cloud/DevOps, data, and AI services. It works on a consulting and managed-services model to modernize core systems and deliver measurable outcomes. Founded in 2014 and headquartered in San Francisco, it operates internationally and is privately held.
