Cloud Engineer

• Analyze legacy production workloads by reverse engineering Alteryx workflows, SSIS packages, and SQL Server jobs.
• Identify actual behavior, undocumented dependencies, historical fixes, and implicit business logic.
• Audit automated analysis reports against original source artifacts and resolve discrepancies, omissions, and unsupported assumptions.
• Define target lakehouse architecture, ingestion patterns, data types, partitioning strategies, naming conventions, and scalability standards.
• Establish data modeling, lineage, access, governance, and Unity Catalog security practices.
• Review and formally approve documented design plans before authorizing automated code generation.
• Resolve technical escalations, business ambiguities, and multi-agent system limitations requiring human intervention.
• Provide technical direction and unblock up to three engineers or developers simultaneously.
• Review and approve pull requests targeting protected branches such as preprod and main.
• Document assumptions, alternatives, trade-offs, and approvals for architecture decision traceability and auditability.
• Validate automated analysis and provide technical oversight within an AI-assisted modernization workflow.

Senior Data Architect – Azure, Lakehouse

• Take high-complexity delivery and tooling work from concept to production, often as the only engineer.
• Lead design discussions for build, test, and deployment systems; author architecture documents or RFCs.
• Own CI/CD pipelines end to end, including migration from Jenkins to GitHub Actions, performance improvements, automation, caching, repeatable releases, and rollback paths.
• Own developer environments and internal tooling, including local setup, standardized environments, CLIs, and scripts.
• Embed with engineering teams to identify and fix workflow friction.
• Build AI into development workflows for code review, testing, refactoring, and internal search.
• Drive incident response for the delivery toolchain and own post-mortem follow-ups.
• Measure build times, deployment frequency, and developer onboarding time before and after changes.
• Plan cross-team rollouts, manage dependencies, negotiate scope, lead migrations, and write documentation and runbooks.
• Mentor engineers on tooling, testing, and delivery practices through code review, pairing, and design feedback.
• Own how Traackr engineers build, test, and ship CI/CD pipelines, delivery infrastructure, developer environments, and test automation.

Software Engineer – Cloud, DevEx

• Design, build, and deploy secure, scalable, and resilient AWS cloud architectures
• Use Infrastructure as Code and modern microservices/serverless patterns
• Serve as the primary technical leader on strategic enterprise client engagements
• Translate complex business goals into high-performing AWS solutions
• Lead large-scale migrations from on-premises data centers or legacy platforms to AWS
• Re-architect legacy monolithic applications into modern serverless or containerized architectures
• Architect and deploy enterprise Generative AI and machine learning workloads
• Build data platforms and AI solutions using AWS services and vector databases
• Identify high-value cloud workloads and drive AWS consumption expansion
• Coach and mentor Cloud Engineers and Solutions Architects
• Develop internal accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices

Forward Deployed Engineer – AWS

• Own and resolve complex P1/P2 incidents affecting Azure-hosted .NET applications and integrations
• Provide deep technical troubleshooting across application, infrastructure, and platform layers
• Investigate issues involving Azure App Services, AKS, networking, identity, storage, APIs, and background services
• Receive escalations from L1 and L2 support teams and drive technical resolution from initial investigation through closure
• Coordinate incident response across Development, Infrastructure, Security, and Operational stakeholders
• Perform root-cause analysis for recurring incidents and high-impact outages using logs, metrics, traces, and distributed telemetry
• Create clear, detailed, and executive-ready root-cause analysis documentation
• Configure and tune Azure Monitor, Application Insights, Log Analytics, alerts, and operational dashboards
• Monitor and improve application performance, availability, resiliency, and operational efficiency
• Work with Development teams to identify and resolve code-level issues in C#, ASP.NET Core, REST APIs, integrations, and background services
• Recommend and implement improvements involving retry policies, circuit breakers, bulkhead isolation, caching, and asynchronous processing
• Use SQL to support production investigations and validate application or data-related findings
• Support vulnerability remediation, patching, and deployment troubleshooting when required
• Communicate technical findings, business impact, risks, and resolution plans to technical teams and senior stakeholders

Senior .NET Engineer – Azure

• Design, build, and deploy robust Python applications within an AWS cloud environment
• Process and manage large volumes of structured and unstructured data
• Implement and maintain CI/CD pipelines
• Leverage AWS compute services and big data tools to optimize application performance and data-processing workflows
• Collaborate with global teams in an international network of expertise

Cloud Engineer jobs in Mexico

Senior Data Architect – Azure, Lakehouse

Software Engineer – Cloud, DevEx

Forward Deployed Engineer – AWS

Senior .NET Engineer – Azure

Python Developer – AWS