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Senior Operations Engineer job description
A Senior Operations Engineer is responsible for maintaining and optimizing critical production systems and infrastructure, ensuring high availability and performance while implementing automation and monitoring solutions to enhance operational efficiency and reliability.
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What is a Senior Operations Engineer?
A Senior Operations Engineer is an experienced IT professional who specializes in managing and maintaining an organization's production systems, infrastructure, and services. They focus on ensuring system reliability, performance, and security while implementing automation and monitoring solutions. This role requires deep technical expertise in areas such as cloud computing, networking, scripting, and system administration, along with strong problem-solving skills and the ability to lead incident response and disaster recovery efforts. Senior Operations Engineers often mentor junior team members and collaborate with development teams to improve deployment processes and system architecture.
What does a Senior Operations Engineer do?
Senior Operations Engineers design, deploy, and maintain scalable and reliable infrastructure systems, often using cloud platforms like AWS, Azure, or GCP. They automate repetitive tasks using scripting languages such as Python, Bash, or PowerShell and implement monitoring and alerting tools like Prometheus, Grafana, or Datadog to ensure system health. They troubleshoot and resolve production incidents, perform root cause analysis, and implement preventive measures to avoid future issues. Additionally, they optimize system performance, manage security configurations, and ensure compliance with industry standards. Senior Operations Engineers also collaborate with development teams to streamline CI/CD pipelines, participate in on-call rotations, and contribute to documentation and knowledge sharing.
Job Overview
The Senior Operations Engineer will be responsible for ensuring the reliability, performance, and security of our production systems and infrastructure. This role involves designing, implementing, and maintaining scalable and efficient operational processes, troubleshooting complex technical issues, and collaborating with cross-functional teams to drive continuous improvement and operational excellence.
1. Monitor and maintain the health, performance, and availability of production systems and services.
2. Design, implement, and automate operational processes to improve efficiency and reduce manual intervention.
3. Troubleshoot and resolve complex technical issues related to infrastructure, networks, and applications.
4. Collaborate with development teams to ensure systems are designed for scalability, reliability, and security.
5. Implement and manage CI/CD pipelines to streamline deployment and release processes.
6. Conduct root cause analysis for incidents and implement preventive measures to avoid recurrence.
7. Manage and optimize cloud infrastructure (e.g., AWS, Azure, GCP) and on-premises environments.
8. Ensure compliance with security policies and industry standards (e.g., SOC 2, ISO 27001).
9. Develop and maintain documentation for operational procedures, configurations, and best practices.
10. Participate in on-call rotations to provide 24/7 support for critical systems.
1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. 5+ years of experience in operations engineering, site reliability engineering, or DevOps roles.
3. Proficiency in scripting and automation using languages like Python, Bash, or PowerShell.
4. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
5. Strong knowledge of containerization and orchestration tools like Docker and Kubernetes.
6. Experience with infrastructure-as-code tools like Terraform, Ansible, or CloudFormation.
7. Solid understanding of networking concepts, security protocols, and system administration.
8. Proven ability to troubleshoot complex issues in distributed systems.
9. Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or Splunk.
Preferred Qualifications
1. Master's degree in a technical field.
2. Experience with microservices architecture and serverless computing.
3. Knowledge of database management and optimization (e.g., SQL, NoSQL).
4. Certifications such as AWS Certified DevOps Engineer, Kubernetes Administrator (CKA), or similar.
5. Experience in fintech, healthcare, or other highly regulated industries.
6. Prior work in a fast-paced, scalable startup environment.
Bonus Skills
1. Contributions to open-source projects or active participation in tech communities.
2. Experience with chaos engineering or performance testing tools.
3. Knowledge of advanced security practices like zero-trust architecture or penetration testing.
4. Familiarity with AI/ML operations (MLOps) or data engineering pipelines.
5. Fluency in additional programming languages like Go, Java, or Ruby.
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