Bring modern SRE, distributed systems, observability, automation, and resilience practices to applications supporting financial-crime prevention and regulatory compliance.
Compensation
The annual base salary range is $125,000 to $140,000 per year. Total on-target compensation includes a base salary plus annual incentives that align with individual and company performance.
Responsibilities
Design, implement, and continuously improve the reliability, scalability, performance, and resiliency of Risk and Compliance platforms.
Establish and manage service level indicators, service level objectives, error budgets, recovery time objectives, and recovery point objectives for critical services.
Build observability solutions that provide visibility into both technical system health and business-processing health.
Develop monitoring, reconciliation, exception management, replay, recovery, and validation capabilities.
Design telemetry, dashboards, logging, distributed tracing, and alerting.
Oversee Stanford Health Care's cloud infrastructure, managing deployment, optimization, and support of cloud-native applications and services to ensure high performance and security.
Compensation
Base Pay Scale: Generally starting at $79.21 - $104.97 per hour
Responsibilities
Design, implement, and manage scalable cloud infrastructure (Azure/AWS/GCP) to support modern applications and AI/ML workloads
Create business cases for new technology solutions, including Generative AI initiatives
Collaborate with data engineering teams to improve data pipelines and maintain Databricks environments
Enable and maintain CI/CD pipelines and infrastructure-as-code (IaC) practices using tools like Terraform, GitHub Actions, or Azure DevOps
Provide technical support to internal teams and resolve cloud-related issues promptly
Requirements
BS DEGREE IN INFORMATION TECHNOLOGY, INFORMATION SYSTEMS, BUSINESS MANAGEMENT, BUSINESS ANALYTICS, BUSINESS ADMINISTRATION OR A DIRECTLY RELATED FIELD FROM AN ACCREDITED COLLEGE OR UNIVERSITY.
Hands‑on engineering role focused on designing, building, deploying, and improving automation, integrations, software, and AI‑enabled solutions that reduce avoidable support demand and employee effort.
Locations (3)
Center Valley, Pennsylvania, United States
Las Vegas, Nevada, United States
Toronto, Canada
Responsibilities
Partner with the VP and Support subject‑matter experts to translate prioritized contact reduction opportunities into clear technical requirements and solution options.
Validate feasibility using contact data, workflow observations, system behavior, and operational metrics; challenge assumptions when opportunities differ in practice from initial expectations.
Determine the simplest and most reliable intervention across software, integrations, workflow automation, self‑service, and AI, including recommending alternatives when automation is not the appropriate solution.
Build and manage Chipotle’s cloud and on-premises infrastructure, focusing on automation and scalability.
Compensation
A reasonable estimate of the current base pay range for this position is $87,000.00–$120,000.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Configure, deploy, and manage cloud infrastructure (Azure/AWS) and on-prem servers
Develop and maintain Infrastructure-as-Code templates and CI/CD pipelines
Leverage LLMs and hybrid AI models to accelerate engineering work
Implement and tune monitoring, logging, and alerting solutions
Troubleshoot complex infrastructure issues
Requirements
Bachelor's Degree (BA/BS) from 4-year college or university
The MEAL Assistant will support the day-to-day implementation of the project’s Monitoring, Evaluation, Accountability and Learning (MEAL) plan across five target districts in Karamoja, Uganda.
Locations (5)
Nakapiripirit, Karamoja, Uganda
Moroto, Karamoja, Uganda
Napak, Karamoja, Uganda
Nabilatuk, Karamoja, Uganda
Amudat, Karamoja, Uganda
Responsibilities
Security Automation Engineer
Pretium Enterprise Services, India · Posted Nov 9, 2026
About the Role
We are seeking a highly experienced and motivated DevOps Engineer to support the PumpTest project—a strategic initiative focused on pump performance testing and automation. This role is essential for ensuring reliable deployment, monitoring, and scaling of microservices across cloud environments. You will work closely with development teams to streamline CI/CD processes, manage infrastructure, and maintain high system availability.
Primary Technical Qualifications
Experience running and troubleshooting Kubernetes workloads in production
Should be able to handle local workload with K3S.
Proven experience deploying microservice applications in Docker containers
Deep understanding of Docker networking (host, bridge) and container troubleshooting
Hands-on experience with at least one programming language (e.g., Java, C#)
Strong knowledge of load balancing, auto-scaling, and Linux server administration
Ability to configure centralized logging, monitoring, and alerting using tools like Grafana, Prometheus
Active collaboration with development teams for successful deployments
Exposure to Kafka and Elastic search platforms
Secondary Skills (Preferred)
Familiarity with API Gateway, NGINX, and Nexus repository
Experience with Ansible for configuration management
Knowledge of Terraform and Puppet for infrastructure automation
Hands-on with Azure Infrastructure including AKS, Azure Container Registry, and Active Directory
CI/CD experience with tools like Jenkins, GitHub Actions, GitLab, or Azure DevOps