Hybrid Cloud Platform Sr. Engineer

Unisys · Bogota, CUN, Colombia

hace 4 días

Más empleos de tecnología en Colombia

Es híbrido, con base en Bogota, CUN, Colombia.

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Lo publica Unisys y está vigente desde el 4 de noviembre de 2026.

Descripción del puesto

What success looks like in this role:

Manage and operate Azure-based infrastructure (IaaS / PaaS) ensuring high availability and reliability

Monitor and maintain SLA/SLO compliance for cloud services

Perform incident, problem, and change management aligned to ITIL practices

Troubleshoot and resolve complex production issues across hybrid environments (on-prem + Azure)

Ensure stabiliy, financial and security compliance across cloud workloads

Optimize operational performance, including:

Capacity management

Resource utilization

Cost control (FinOps alignment)

Design and implement cloud solutions in Azure (Landing Zones, networking, identity, compute)

Support delivery of cloud migration and modernization initiatives

Collaborate with architects and stakeholders to translate business requirements into technical solutions

Participate in solution validation, readiness, and go-live support

Ensure all solutions follow enterprise standards, governance, and security frameworks

Develop and maintain IaC templates using Bicep for Azure deployments

Standardize and automate:

Infrastructure provisioning

Configuration management

Environment consistency (Dev / Test / Prod)

Promote modular, reusable, and governed IaC practices

Integrate IaC into CI/CD pipelines (Azure DevOps)

Reduce manual provisioning and enforce repeatability and compliance

Design and implement CI/CD pipelines using Azure DevOps

Automate build, release, and infrastructure deployment processes

Enable GitOps / DevOps practices across cloud platform teams

Streamline operational tasks through scripting and automation (PowerShell / CLI)

Drive adoption of:

Automated testing

Version-controlled infrastructure

Continuous delivery

Implement and mature SRE principles across operations:

SLO / SLA definition and tracking

Error budgets

Reliability engineering practices

Drive automation-first approach to reduce manual intervention

Perform root cause analysis (RCA) and continuous improvement initiatives

Reduce incident volume and MTTR through engineering-driven solutions

Collaborate in blameless postmortems and reliability reviews

You will be successful in this role if you have:

Strong experience in Azure cloud operations and engineering, including management of IaaS/PaaS services in enterprise environments

Proven background in hybrid infrastructure environments (on-prem + Azure) with solid understanding of networking, identity, and security

Hands-on expertise in Infrastructure as Code (IaC) using Bicep (or ARM/Terraform), with focus on standardization, automation, and governance

Experience designing and implementing CI/CD pipelines using Azure DevOps, including automation of infrastructure and application deployments

Solid knowledge of cloud observability and monitoring practices, using tools such as Azure Monitor, Log Analytics, Application Insights, and/or Grafana

Experience applying Site Reliability Engineering (SRE) principles, including SLO/SLA management, incident reduction, and automation-driven operations

Strong troubleshooting and problem-solving skills across cloud and platform services, with ability to manage complex production environments

Familiarity with ITIL-based operational processes (Incident, Problem, Change), ensuring alignment between operations and engineering

Experience driving cloud optimization initiatives, including performance, scalability, and cost (FinOps awareness)

Ability to contribute to innovation and modernization initiatives such as IaC adoption, observability maturity, and AIOps

Strong collaboration and communication skills, with ability to work across engineering, operations, and customer stakeholders

#LI-DT1

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, ge

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