Senior DevOps Engineer

Cloud Bridge; Philippines; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Cloud Bridge seeks a Senior DevOps Engineer to lead the uplift and modernization of engineering capabilities, driving automation across development, testing and production delivery. You will guide strategy, educate global teams, and deliver measurable improvements in productivity, time to market and resiliency.

The role requires business-minded collaboration and strong communication to partner with developers and testers in DevOps principles, with hands-on execution and external partnerships as

Qualifications

• Bachelor's or Master's degree in Computer Science.
• 7–10+ years leading DevOps in finance or tech.
• Led transformation programs increasing DevOps and SDLC automation.
• Measured improvements via DevOps investments and metrics-driven practice.
• Familiar with modern DevOps and SRE principles.
• Deep AWS cloud platform experience.
• Automating and integrating testing into CI/CD pipelines.
• Experience with SAFe Agile and Lean Delivery.
• Knowledge of third-party automation tools for SDLC, CI/CD and observability.
• Experience with Windows Server, Amazon Linux, RHEL, Ubuntu.
• Scripting: Python, Go, PowerShell, Bash, Groovy.
• Programming: Java, C#, .NET, JavaScript, Ruby, C++.
• Developer tooling: GitLab, Jenkins, Nexus.
• Containerisation with Docker and Kubernetes deployment.
• Pipelines as code and observability tools: OpenSearch, Cribl, Grafana, Prometheus, CloudWatch.

Responsibilities

• Design DevOps modernization and adoption strategy with current industry practices.
• Engineer internal tooling to automate software development, testing and delivery.
• Fully automate release pipelines to reduce manual overhead.
• Improve production stability and resiliency with observability tools.
• Support application teams adopting tools and agile delivery in cloud and on‑prem environment.
• Engage vendors to accelerate internal tool adoption and best practices.
• Architect containerisation and serverless solutions where appropriate.
• Drive environment management, logging and monitoring automation.
• Fulfilling ad hoc duties to meet business needs.

Skills

DevOps leadership

Automation

CI/CD

SRE principles

Agile mindset

Metrics driven

Communication skills

Cloud architecture

Education

Bachelor's or Master's in Computer Science

Tools

AWS

Docker

Kubernetes

GitLab

Jenkins

Nexus

OpenSearch

Cribl

Grafana

Prometheus

CloudWatch

Windows Server

Amazon Linux

RHEL

Ubuntu

Python

Go

PowerShell

Bash

Groovy

Java

C#

JavaScript (Node.js)

Ruby

C++

Job description

Our client is seeking a Senior DevOps Engineer, the idealcandidate will be leading the uplift and modernization of engineering capabilities around automation of development, testing and production delivery for the client'splatforms. The candidate will provide hands-on as well as thought leadership in designing this strategy as well as executing with a combination of internal and external teams over the next two years. The candidate is able to educate and influence application development teams globally to adopt new tools and practices, and also demonstrate measurable improvements in productivity, time to market and operational resiliency.

The role requires a business minded, highly collaborative, team-focussed experienced DevOps engineer with exceptional communication skills to work with developers and testers in DevOps principles.

Role Responsibilities

• Design DevOps modernization and adoption strategy incorporating current industry practices and technologies
• Engineer internal tooling to implement automation in software development, testing and production delivery
• Reduce manual overhead involved in software releases by fully automating delivery pipelines that includes testing
• Improve production stability and resiliency through process improvement and adoption of better observability tools
• Support application teams in adopting a consistent set of tools, practices and technology to support an agile delivery model, including automation and incremental delivery of software in test and production environments running in the cloud and on-premise
• In order to operate at scale, engage with vendors and service providers to bring best in class industry practices, speed up internal build as well as accelerate company wide adoption of new tools and practices
• Assist and architect where appropriate solutions using containerisation and serverless technologies
• Drive automation for environment management, logging and monitoring
• To fulfil any additional / ad hoc duties as required to meet the needs of the business.

Experience / Competences

• Bachelors or Masters degree in Computer Science
• Over 7-10 yrs experience in practising and leading DevOps practice in leading Financial or Technology companies
• Demonstrated experience leading and executing transformation programs involving significant uplift of DevOps and SDLC automation capabilities
• Past experience delivering measurable process and productivity improvements via DevOps investments and driving a metrics driven practice of continuous improvement
• Intimately familiar with modern DevOps and SRE principles
• Deep and broad experience of AWS Cloud platform and services
• Previous experience in automating and integrating Testing into CI/CD pipelines (unit, integration, smoke testing)
• Previous experience working in development teams using Agile methodologies (e.g. SAFe) and practising Lean Delivery principles
• Knowledge of third party automation tools and technologies with relative pros and cons for all stages of SDLC, CI/CD pipelines and observability
• Platforms; Windows Server, Amazon Linux, RHEL, Ubuntu
• Proficiency in at least one of the following scripting languages; Python, GO, PowerShell, Bash, Groovy
• Programming language with a working knowledge in at least one of Java, C#, .NET Framework/Core), JavaScript (Node.js), Ruby, C++
• Developer tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype Nexus
• Knowledge and working experience of containerising application components including writing DockerFiles and deploying to Kubernetes
• Deep understanding of pipelines as code
• Observability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch