Senior Cloud Migration Architect and DevSecOps Engineer responsible for designing, automating, and executing application migration to Azure and AWS platforms, implementing CI/CD pipelines, Kubernetes deployments, observability, and security best practices for Bupa LATAM modernization programs.
Responsibilities
Design and build CI pipelines in Azure DevOps for Angular, Ionic, .NET Framework and .NET
Automate Docker image generation and publish to Azure Container Registry and Amazon ECR
Design and build CD pipelines for automated deployments to Azure AKS and AWS EKS
Manage configurations using Azure DevOps Libraries, Helm Charts and DevSecOps practices
Participate in migration and modernization initiatives of monolithic applications to cloud-native microservices and container architectures
Lead the design and development of full stack features for an AI-powered web application, define technical vision for AI/ML systems, and drive innovation in cloud architecture.
Compensation
The total target cash compensation for this role is $160,000 - $195,000 CAD, based on experience.
Responsibilities
Leading the design and development of full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS
Defining the technical vision and architectural principles for AI/ML systems
Driving innovation by researching and prototyping cutting-edge AI technologies
Ensuring security, scalability, and observability best practices across cloud architecture
Working within a cross-functional environment partnering closely with product, design, and business teams
A highly skilled full stack developer-combat coder who focuses on building and integrating mission-critical systems in disconnected and resource-constrained environments to support the US Air Force.
Locations (2)
Beale AFB, California, United States
Marysville, California, United States
Compensation
Pay Range $131,300.00 - $237,350.00
Responsibilities
Integrate systems and data flows using Python, NiFi, and other integration frameworks.
Engineer resilient solutions that can operate in austere, bandwidth limited, or air gapped conditions.
Collaborate with cross functional teams to rapidly prototype and deliver mission critical capabilities.
Troubleshoot and optimize code and workflows in real time, often with incomplete information.
Document and harden solutions for long term maintainability in the field.
This posting lists multiple AI-related engineering roles including Software Engineer, AI Deployment Strategist, Founding Engineer, Forward Deployed Engineer, and AI Product Engineer across various startup stages.
Locations (2)
New York City, NY, United States
San Francisco, California, United States
Responsibilities
Build production web applications
Develop modern interactive frontends and backend systems
Handle product and UX judgment for complex, data-dense applications
The Software Development Engineer II on the Seller Compliance team will design, build, and deliver features to solve complex regulatory challenges across Amazon's EU marketplace.
Responsibilities
Design and implement software solutions across major portions of your team's systems, balancing new feature development with refactoring and operational improvements to maintain a healthy and extensible codebase.
Collaborate with customers, stakeholders, and cross-functional peers to understand business and customer needs, ensuring the solutions you deliver are well-aligned with both technical and product requirements.
Mentor and coach other engineers through code reviews, design discussions, and hands-on guidance, raising the quality bar for the team and helping newer team members ramp up effectively.
Identify root causes of operational issues and drive permanent fixes, contributing to your team's operational excellence and reducing recurring support costs.
Evaluate emerging tools and approaches — including generative AI capabilities — to improve development workflows, and make recommendations for adoption that increase team productivity and code quality.
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