Lead Site Reliability Engineer

Jobgether; United States; Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Fully remote work

Healthcare benefits

6 weeks PTO + holidays

401(k) retirement plan

Professional development opportunities

Job summary

Jobgether is seeking a Lead Site Reliability Engineer in the United States to drive cloud modernization and automation across AWS and Kubernetes environments. You will design scalable infrastructure, implement IaC, and lead cross-functional teams to improve observability and service availability.

You will mentor engineers, manage CI/CD pipelines, and oversee incident management with a focus on security, performance, and reliability within a remote-first culture.

Qualifications

• Bachelor's degree or equivalent experience.
• 8+ years in SRE/cloud infrastructure/DevOps.
• Hands-on AWS experience (RDS, Elastic Beanstalk, EKS).
• Terraform or CloudFormation experience.
• Scripting/automation (Python preferred).
• Java/.NET programming experience.
• Kubernetes cluster management.

Responsibilities

• Design, build, and maintain cloud infrastructures on AWS.
• Automate repetitive tasks and improve efficiency.
• Develop and manage CI/CD pipelines and deployments.
• Build dashboards and monitoring (CloudWatch, Datadog).
• Lead incident response and root-cause analysis.
• Mentor teammates and promote best practices across teams.

Skills

Leadership

Mentoring

AWS

Cloud infrastructure

SRE practices

Automation

Python

Java/.NET

Kubernetes

CI/CD

Observability

Incident management

ITIL

Agile/Scrum

Security best practices

Education

Bachelor's degree

Tools

Terraform

AWS CloudFormation

Azure DevOps

GitHub

Datadog

AWS CloudWatch

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 Lead Site Reliability Engineer based in the United States.

In this role, you will play a key leadership role in driving cloud infrastructure modernization, automation, and operational excellence. You will design, build, and maintain scalable infrastructure environments across AWS, leveraging Infrastructure as Code and cloud-native technologies. Working closely with platform, engineering, and delivery teams, you will ensure reliable, secure, and high-performing systems that meet evolving business and client requirements. You will lead initiatives to automate repetitive processes, improve system observability, and strengthen service availability. The position also involves incident management, security improvements, and continuous optimization of cloud operations. This is an opportunity to combine hands-on technical expertise with mentoring responsibilities in a collaborative, remote-first environment.

Accountabilities

• Design, build, deploy, and maintain cloud infrastructure environments and capabilities using AWS services and Infrastructure as Code practices.
• Collaborate with delivery, platform, and engineering teams to understand client requirements and develop infrastructure solutions aligned with business needs.
• Lead the development and implementation of automation solutions to eliminate repetitive operational tasks, streamline workflows, reduce manual intervention, and improve engineering efficiency.
• Build, maintain, and optimize monitoring tools, alerts, and dashboards to provide visibility into infrastructure health, system performance, and service availability.
• Proactively identify, investigate, and resolve performance bottlenecks, infrastructure issues, and availability risks.
• Implement and maintain security policies, including infrastructure patching, vulnerability remediation, IAM role management, and basic security audits.
• Develop, administer, and maintain automated CI/CD pipelines to support reliable and efficient software delivery.
• Manage source code repositories and version control processes using Azure DevOps and other Git-based platforms.
• Build, configure, and maintain Kubernetes clusters to support scalable containerized applications and infrastructure workloads.
• Participate in incident response activities, coordinate troubleshooting efforts, and conduct post-incident reviews to identify root causes and implement preventive measures.
• Apply relevant ITIL practices to improve service management, operational consistency, and infrastructure reliability.
• Mentor and coach team members, share technical knowledge, and promote best practices across engineering and SRE teams.
• Contribute to reporting and dashboarding activities to support operational visibility, performance tracking, and informed decision-making.

Requirements

• Bachelor's degree from an accredited institution or an equivalent combination of education and professional experience.
• At least 8 years of relevant professional experience in site reliability engineering, cloud infrastructure, DevOps, platform engineering, or related technical fields.
• Extensive hands-on experience with AWS cloud services, particularly RDS (MS SQL), Elastic Beanstalk, EKS, and other AWS infrastructure solutions.
• Strong understanding of Infrastructure as Code, with practical experience using Terraform or AWS CloudFormation.
• Proven scripting and automation experience using at least one scripting language, preferably Python.
• Solid programming experience with languages such as Java or .NET.
• Demonstrated experience building, configuring, and maintaining Kubernetes clusters and containerized environments.
• Strong knowledge of Git-based version control platforms, particularly Azure DevOps or GitHub.
• Experience designing and maintaining automated CI/CD pipelines and supporting software delivery processes.
• Hands-on experience with monitoring, alerting, and dashboarding solutions, particularly AWS CloudWatch and Datadog.
• Familiarity with Agile and Scrum methodologies and experience working in collaborative, cross-functional engineering teams.
• Knowledge of ITIL methodologies and their application to service management and operational processes.
• Experience with incident management, root cause analysis, infrastructure troubleshooting, and implementing long-term preventive solutions.
• Strong reporting and dashboarding capabilities, with the ability to translate operational data into actionable insights.
• Excellent communication, interpersonal, and mentoring skills, with the ability to guide colleagues and collaborate effectively across teams.
• Adaptability and resilience when working in changing environments, managing competing priorities, and navigating complex technical challenges.
• High levels of self-motivation, initiative, and focus, with the ability to work independently while contributing to shared team objectives.

Benefits

• Annual base salary: $150,000-$175,000, depending on relevant experience, qualifications, technical skills, geographic location, and market conditions.
• Potential eligibility for a discretionary performance-based bonus, subject to applicable program guidelines and management approval.
• Paid time off (PTO) and paid holidays.
• Comprehensive healthcare benefits, including medical, dental, and vision insurance.
• Life insurance and disability insurance coverage.
• 401(k) retirement savings plan.
• Fully remote working arrangement, providing flexibility in where you work.
• Opportunities to contribute to large-scale cloud transformation and infrastructure modernization initiatives.
• Exposure to advanced AWS technologies, Kubernetes, Infrastructure as Code, and automation solutions.
• Opportunities for technical leadership, mentoring, and professional development.
• Collaborative environment working alongside platform, engineering, and delivery professionals.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.