Software Engineer

Total Talent; Dublin; On-site; EUR 65,000 - 90,000; Full time

Job summary

Total Talent is seeking a Software Engineer to support and enhance core production systems, focusing on reliability, performance, and automation. You will work with cross-functional teams to improve infrastructure, monitoring, and deployment processes in Ireland.

The role emphasizes on-call support, incident troubleshooting, and collaboration to evolve system architecture while maintaining documentation and best practices.

Qualifications

• Bachelor's degree with 4+ years' experience in relevant fields.
• Experience in Site Reliability Engineering, Operations Support, DevOps, or Application Support.
• Strong problem-solving and communication skills.

Responsibilities

• Deploy, maintain, and support production systems and applications.
• Monitor performance, availability, and capacity; identify and resolve issues.
• Develop and maintain monitoring, alerting, and reporting solutions.
• Participate in on-call rota; provide out-of-hours support.
• Troubleshoot incidents; improve reliability, scalability, and performance.
• Collaborate with engineering to enhance system architecture and processes.
• Maintain documentation, standards, and best practices for production environments.
• Contribute to continuous improvement while ensuring quality standards.

Skills

Site Reliability

DevOps

Cloud infrastructure

Monitoring

CI/CD

Education

Bachelor's degree

Tools

Linux

Docker

Kubernetes

Terraform

Ansible

AWS

Grafana

Elasticsearch

Kibana

Logstash

Job description

We are seeking a Software Engineer to support and enhance core speech technology platforms. The role focuses on maintaining highly available production systems, improving reliability and performance, and driving automation and operational excellence. You will work closely with cross-functional teams to optimise infrastructure, monitoring, and deployment processes.

We are seeking a Software Engineer to support and enhance core speech technology platforms. The role focuses on maintaining highly available production systems, improving reliability and performance, and driving automation and operational excellence. You will work closely with cross-functional teams to optimise infrastructure, monitoring, and deployment processes.

Responsibilities

• Deploy, maintain, and support production systems and applications.
• Monitor system performance, availability, and capacity, ensuring issues are proactively identified and resolved.
• Develop and maintain operational monitoring, alerting, and reporting solutions.
• Participate in an on-call rota, providing out-of-hours support when required.
• Troubleshoot incidents and implement improvements to system reliability, scalability, and performance.
• Collaborate with engineering teams to enhance system architecture and operational processes.
• Maintain documentation, standards, and best practices for production environments.
• Contribute to continuous improvement initiatives while ensuring compliance with quality and professional standards.

Skills & Experience

• Bachelor's degree with 4+ years' experience, or equivalent industry experience in Site Reliability Engineering, Operations Support, DevOps, or Application Support.
• Strong problem-solving, analytical, and troubleshooting skills.
• Excellent communication skills with the ability to work effectively with both technical and non-technical stakeholders.
• Experience managing Linux-based environments.
• Familiarity with cloud infrastructure, automation, and container technologies.
• Experience with monitoring, logging, and alerting tools.
• Knowledge of CI/CD pipelines, version control systems, and infrastructure as code.

Desirable Technologies

• Python, Shell, Java, or Go.
• Git (GitHub/GitLab).
• PostgreSQL, MongoDB, or similar databases.
• Docker, Kubernetes, Terraform, and Ansible.
• AWS services including EC2, EKS, S3, RDS, and CloudFront.
• Grafana, Elasticsearch, Kibana, Logstash, Redis, and related monitoring tools.
• Exposure to AI/ML platforms, models, or agent-based technologies.