Murex DevOps Engineer: CI/CD & Platform Automation Pro

Bounteous

Ciudad de México

Presencial

MXN 550.000 - 850.000

Jornada completa

14 días+

Generador de candidaturas

Una candidatura completa en un minuto: currículum y carta de presentación adaptados, listos para enviar.

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Descripción de la vacante

Bounteous is seeking a Murex DevOps Engineer to support the MX platform across SaaS, cloud and on‑premise environments. You will work closely with development, QA, product, support and client-facing delivery teams to ensure environments are stable, reproducible, secure and ready for project delivery.

The role requires hands-on experience with CI/CD, environment management, infrastructure automation, monitoring and production reliability.

Formación

3+ years of experience in DevOps, CI/CD, platform engineering or environment support.
Good understanding of CI/CD pipeline delivery including build, test, deployment, validation, smoke testing and rollback support.
Experience with CI/CD tools such as Jenkins, GitLab CI or Azure DevOps.
Strong working knowledge of Git, including branching, tagging, version control practices and artifact management.
Hands-on scripting experience using Shell, Python or Groovy.
Good understanding of Linux/Unix environments.
Exposure to cloud platforms, preferably AWS, with Azure or GCP considered advantageous.
Experience working with RDBMS databases, such as Oracle, PostgreSQL or similar.
Knowledge of monitoring, logging, alerting and observability concepts.
Exposure to SaaS, distributed architecture, multi-client or multi-environment delivery models would be advantageous.
Ability to troubleshoot issues across infrastructure, pipelines, databases and application environments.
Strong communication skills, with the ability to work with both technical and non-technical stakeholders.
Proactive, team-oriented mindset with a focus on continuous improvement, automation and operational reliability.

Responsabilidades

Design, implement and maintain CI/CD pipelines to support continuous integration, testing and deployment across multiple environments.
Support pipeline stability, performance and reliability, helping to minimise build failures and delivery delays.
Implement automated build, packaging and deployment processes.
Support release cycles, including validation, smoke testing, deployment coordination and rollback planning.
Maintain version control standards across branching, tagging, artifact management and Git-based delivery workflows.
Automate environment provisioning, configuration and upgrade activity.
Build reusable automation components to improve consistency, scalability and repeatability.
Reduce manual operational activity through scripting and process automation.
Deploy and manage MX environments across development, testing and production stages.
Support environment lifecycle activity including provisioning, configuration, upgrades, patching and decommissioning.
Ensure environments are standardised, reproducible, secure and compliant.
Support multi-client and multi-environment setups across SaaS and hybrid delivery models.
Implement and maintain monitoring, logging and alerting across platforms and pipelines.
Support end-to-end observability of environments, infrastructure and delivery pipelines.
Perform root cause analysis on incidents and contribute to long-term reliability improvements.
Support environment data lifecycle activity, including data provisioning, masking, sampling and reduction for non-production environments.
Assist with database operations such as migration, sanitisation and reconciliation.
Act as a technical escalation point for environment and platform incidents.
Troubleshoot technical issues across infrastructure, pipelines, databases and environments.
Coordinate with support, product, development and QA teams to resolve issues and maintain delivery continuity.
Maintain documentation, runbooks and knowledge-sharing material to support operational consistency.
Contribute to DevOps best practices including automation-first delivery, continuous integration, continuous delivery and shift-left testing.
Identify inefficiencies and propose improvements across internal tooling, documentation, standardisation and delivery processes.