We are seeking a DevOps Engineer to strengthen our software delivery and infrastructure operations capability. This role is responsible for designing implementing and maintaining scalable infrastructure automation frameworks and CI/CD pipelines that enable engineering teams to deliver secure and reliable software at speed.
The ideal candidate operates comfortably at the intersection of software engineering cloud infrastructure and operational reliability with a strong focus on automation observability and continuous improvement.
Key Responsibilities
Infrastructure & Platform Engineering
Design deploy and maintain cloud-native infrastructure using Infrastructure as Code (IaC) practices.
Manage and optimize environments across development staging and production.
Implement high availability scalability and fault tolerance in platform architecture.
Support containerized workloads using Docker and Kubernetes.
CI/CD & Automation
Build and maintain CI/CD pipelines to automate build testing and deployment workflows.
Integrate security testing and compliance controls into the pipeline (DevSecOps practices).
Reduce manual operational work through automation and scripting.
Monitoring & Reliability
Implement monitoring alerting and observability solutions.
Maintain platform reliability through incident response root cause analysis and continuous improvement.
Define and track SLOs SLIs and operational KPIs.
Collaboration & Engineering Enablement
Work closely with development teams to optimize deployment pipelines and runtime environments.
Support developers in adopting cloud-native and containerization best practices.
Contribute to internal documentation and knowledge sharing.
Required Qualifications
Education
Bachelors degree in Computer Science Software Engineering or related field or equivalent practical experience.
Experience
3 to 6 years experience in DevOps Site Reliability Engineering or Infrastructure Engineering.
Technical Skills
Strong experience with several of the following:
Cloud Platforms
Azure and AWS
Infrastructure as Code
Terraform
Containers & Orchestration
Docker
Kubernetes
Experience operating production Kubernetes clusters
CI/CD Platforms
Jenkins
Argo CD
Azure DevOps
Configuration Management
Ansible
Monitoring & Observability
Prometheus
Grafana
ELK / OpenSearch
Datadog or similar tools
Scripting & Development
Python
Bash
Version Control
Git and Git-based workflows
Preferred Qualifications
Experience implementing DevSecOps pipelines
Knowledge of zero-trust security models
Soft Skills
Strong analytical and problem-solving capability
Clear communication across engineering and operations teams
Ability to operate in high-availability production environments
Continuous learning mindset
Success Metrics
Performance in this role will typically be measured by:
Reduced infrastructure incidents and downtime
Increased automation coverage
Improved developer productivity and release velocity
Typical Tech Stack
Cloud: AWS / Azure
Containers: Docker Kubernetes
IaC: Terraform
CI/CD: Jenkins Argo CD
Monitoring: Prometheus Grafana
Logging: ELK Stack and Loki
Languages: Python Bash
Job Description - DevOps Engineer Position Overview We are seeking a DevOps Engineer to strengthen our software delivery and infrastructure operations capability. This role is responsible for designing implementing and maintaining scalable infrastructure automation frameworks and CI/CD pipeline...
Job Description - DevOps Engineer
Position Overview
We are seeking a DevOps Engineer to strengthen our software delivery and infrastructure operations capability. This role is responsible for designing implementing and maintaining scalable infrastructure automation frameworks and CI/CD pipelines that enable engineering teams to deliver secure and reliable software at speed.
The ideal candidate operates comfortably at the intersection of software engineering cloud infrastructure and operational reliability with a strong focus on automation observability and continuous improvement.
Key Responsibilities
Infrastructure & Platform Engineering
Design deploy and maintain cloud-native infrastructure using Infrastructure as Code (IaC) practices.
Manage and optimize environments across development staging and production.
Implement high availability scalability and fault tolerance in platform architecture.
Support containerized workloads using Docker and Kubernetes.
CI/CD & Automation
Build and maintain CI/CD pipelines to automate build testing and deployment workflows.
Integrate security testing and compliance controls into the pipeline (DevSecOps practices).
Reduce manual operational work through automation and scripting.
Monitoring & Reliability
Implement monitoring alerting and observability solutions.
Maintain platform reliability through incident response root cause analysis and continuous improvement.
Define and track SLOs SLIs and operational KPIs.
Collaboration & Engineering Enablement
Work closely with development teams to optimize deployment pipelines and runtime environments.
Support developers in adopting cloud-native and containerization best practices.
Contribute to internal documentation and knowledge sharing.
Required Qualifications
Education
Bachelors degree in Computer Science Software Engineering or related field or equivalent practical experience.
Experience
3 to 6 years experience in DevOps Site Reliability Engineering or Infrastructure Engineering.
Technical Skills
Strong experience with several of the following:
Cloud Platforms
Azure and AWS
Infrastructure as Code
Terraform
Containers & Orchestration
Docker
Kubernetes
Experience operating production Kubernetes clusters
CI/CD Platforms
Jenkins
Argo CD
Azure DevOps
Configuration Management
Ansible
Monitoring & Observability
Prometheus
Grafana
ELK / OpenSearch
Datadog or similar tools
Scripting & Development
Python
Bash
Version Control
Git and Git-based workflows
Preferred Qualifications
Experience implementing DevSecOps pipelines
Knowledge of zero-trust security models
Soft Skills
Strong analytical and problem-solving capability
Clear communication across engineering and operations teams
Ability to operate in high-availability production environments
Continuous learning mindset
Success Metrics
Performance in this role will typically be measured by:
Reduced infrastructure incidents and downtime
Increased automation coverage
Improved developer productivity and release velocity