Senior Associate - SRE

We are seeking a Technical Operations Analyst to join our Technology Operations team. This is a hybrid role that combines elements of Site Reliability Engineering (SRE), cloud operations, observability, and automation, while remaining focused on operational excellence and application support.

The ideal candidate will have hands-on experience monitoring production environments, troubleshooting issues using observability tools, automating operational tasks through scripting, and collaborating across engineering teams to improve system reliability. While the role includes occasional SRE-related activities such as creating monitoring dashboards and driving operational improvements, it is not a dedicated SRE position.

This role offers an opportunity to work in a modern cloud-based environment and contribute to the stability, scalability, and efficiency of business-critical applications and services.

Role & responsibilities

Production Monitoring & Incident Support

• Monitor applications and infrastructure using observability and monitoring platforms.
• Investigate production incidents and service disruptions using logs, metrics, dashboards, and tracing tools.
• Perform root cause analysis and support resolution of operational issues.
• Collaborate with engineering teams during incident response and post-incident reviews.
• Ensure platform reliability through proactive monitoring and alert management.

Observability & Operational Excellence

• Utilize observability tools such as Datadog, Prometheus, Grafana, CloudWatch, New Relic, or similar platforms.
• Analyze logs, dashboards, and performance metrics to identify trends, anomalies, and potential risks.
• Create and maintain operational dashboards and alerts when required.
• Support continuous improvement initiatives focused on monitoring effectiveness and system visibility.

Automation & Scripting

• Develop and maintain scripts to automate repetitive operational tasks.
• Utilize Python, Shell, Bash, or similar scripting languages to increase operational efficiency.
• Leverage AI-assisted development tools and prompt engineering techniques to generate and enhance automation solutions.
• Execute, validate, and troubleshoot automation scripts using command-line interfaces.

Cloud & Platform Operations

• Support applications and services running in cloud environments.
• Work with AWS services and cloud-native operational practices.
• Assist in managing containerized workloads and deployment activities.
• Participate in CI/CD and release management processes.
• Contribute to operational readiness and system reliability initiatives.

Collaboration & Continuous Improvement

• Partner with software engineers, product teams, and platform teams to improve system performance and reliability.
• Participate in operational reviews, process improvements, and knowledge-sharing sessions.
• Document troubleshooting procedures, operational runbooks, and best practices.

Preferred candidate profile

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

• Experience supporting production applications, platforms, or IT operations environments.

• Hands-on experience with at least one observability or monitoring platform such as:

• Datadog

• Prometheus

• Grafana

• CloudWatch

• New Relic

• Splunk or similar tools

• Experience reading and analyzing logs, monitoring dashboards, and system metrics for troubleshooting and operational support.

• Experience with scripting and automation using Python, Shell, Bash, or similar technologies.

• Familiarity with Linux/Unix command-line environments.

• Experience working within a cloud environment (AWS preferred; Azure or Google Cloud acceptable).

• Understanding of software development lifecycle (SDLC) and operational support processes.

• Strong problem-solving, troubleshooting, and analytical skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with AWS cloud services.
• Exposure to Kubernetes, Docker, or other containerization technologies.
• Knowledge of CI/CD tools and deployment pipelines.
• Experience supporting highly available and distributed systems.
• Familiarity with Site Reliability Engineering (SRE) principles and practices.
• Experience leveraging AI tools for scripting, automation, and operational efficiencies.
• Exposure to incident management and post-mortem processes.