Senior Site Reliability Engineer
Jobgether
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Benefits offered by this job
Job summary
Jobgether's partner company in the United States is seeking a Senior Site Reliability Engineer to advance the reliability, performance, and scalability of enterprise SaaS products. You will help build resilient cloud infrastructure and drive SRE best practices across engineering teams.
You will lead incident response, implement AI-powered observability, and automate deployment and runbooks while collaborating with SRE and software engineers to meet SLAs and SLOs.
Qualifications
- 5+ years of cloud infrastructure experience on Azure or AWS.
- 5+ years programming in C#/.NET, Java, or similar.
- 5+ years with CI/CD and IaC tools such as Azure DevOps, Terraform, Jenkins, Ansible.
- 5+ years monitoring/observability with Datadog, Dynatrace, New Relic, or AppDynamics.
- Experience with Kubernetes and AKS/EKS.
- Strong scripting in PowerShell, Python, or Bash.
- Experience in 24/7 production environments.
- Bachelor's degree in CS or equivalent.
Responsibilities
- Lead initiatives to strengthen infrastructure resilience and performance of SaaS services.
- Develop and maintain monitoring, alerting, and SLO/SLAs.
- Automate deployment workflows and CI/CD pipelines.
- Drive AI/AIOps integration to improve reliability.
- Own incident response as on-call and perform RCA.
Skills
Education
Tools
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer based in the United States. The Senior Site Reliability Engineer will play a key role in ensuring the reliability, availability, performance, and scalability of enterprise SaaS products. You will help build and maintain resilient cloud infrastructure while driving Site Reliability Engineering (SRE) best practices across engineering teams. Working with modern cloud technologies, you will strengthen monitoring, automate operational processes, and improve incident response to deliver seamless customer experiences. The role also involves leveraging AI and AIOps solutions to anticipate issues, optimize system performance, and enable automated remediation. You will collaborate closely with software engineering and SRE teams to improve deployment practices, eliminate operational bottlenecks, and maintain high service standards. This is an opportunity to contribute to mission‑critical financial technology platforms in a dynamic, innovation‑driven environment.
As a Senior Site Reliability Engineer, you will lead initiatives to strengthen infrastructure resilience, optimize application performance, and ensure the continuous delivery of reliable SaaS services. Your responsibilities will include:
- Champion and implement SRE principles and practices to maintain high-quality, resilient, and observable infrastructure across SaaS products.
- Promote a culture focused on service reliability, availability, performance, and continuous improvement.
- Act as an advocate for reducing Mean Time to Recovery (MTTR) and serve as Incident Commander during critical production incidents.
- Leverage AI tools to improve system reliability through intelligent observability, incident prediction, and automated remediation across cloud environments.
- Evaluate and implement emerging AI-powered operations and observability solutions to proactively enhance performance, reliability, and scalability.
- Design, implement, and maintain application and infrastructure monitoring and alerting systems to prevent customer-impacting incidents.
- Monitor and maintain Service Level Objectives (SLOs) and Service Level Agreements (SLAs).
- Optimize application performance and infrastructure efficiency at scale.
- Automate operational processes, including system maintenance, deployment workflows, and operational runbooks.
- Define, maintain, and support CI/CD pipelines aligned with branching strategies and quality assurance standards.
- Evaluate, prototype, and integrate emerging technologies, tools, and engineering practices into existing workflows.
- Independently manage technical projects and deliver assigned milestones on schedule while maintaining clear communication with stakeholders.
- Collaborate closely with SRE and software engineering teams to establish shared quality expectations and accountability.
- Promote engineering best practices, identify operational bottlenecks, and continuously improve processes.
- Participate in a 24/7/365 on-call rotation, leading production incident triage, troubleshooting, and root cause analysis (RCA).
- Apply lessons learned from incidents and operational challenges to strengthen system resilience and prevent recurrence.
The ideal candidate is an experienced reliability engineering professional with strong cloud infrastructure, software development, and automation expertise. You should bring:
- 5+ years of experience managing cloud infrastructure on Microsoft Azure or AWS.
- 5+ years of programming experience with C#/.NET, Java, or comparable programming languages.
- 5+ years of experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Azure DevOps, Harness, Ansible, Jenkins, or Terraform.
- 5+ years of experience with production monitoring and observability platforms such as Datadog, Dynatrace, New Relic, or AppDynamics.
- 5+ years of scripting experience using PowerShell, Python, Bash, or similar languages.
- Experience supporting 24/7 customer-facing production environments.
- Practical experience with AI/AIOps technologies and CloudOps automation.
- Experience working with Kubernetes and container orchestration platforms, including AKS or EKS.
- Knowledge of SQL and Cosmos DB monitoring, performance optimization, and troubleshooting.
- Strong understanding of cloud networking, firewalls, load balancing, and infrastructure security.
- Experience implementing production security practices and post-deployment validation procedures.
- Strong DevOps, automation, troubleshooting, and site reliability engineering capabilities.
- Ability to work independently, manage competing priorities, and communicate effectively across technical teams.
- A continuous learning mindset and the ability to adapt to evolving technologies and engineering practices.
- Bachelor's degree in Computer Science or equivalent professional experience.
- AI, Cloud AI, or AIOps certifications or specialized training.
- Competitive compensation.
- Flexible workplace arrangements and remote work opportunities.
- Comprehensive benefits package supporting employees' overall health and well-being.
- Opportunities for professional growth and career development.
- A collaborative, values-driven working environment that encourages authenticity, teamwork, and shared success.
- A culture focused on employee satisfaction, innovation, and continuous improvement.
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