Site Reliability Engineer ASCENDING · Remote · Worldwide · Site Reliability Pay not stated 6w ago

Devopsroles

Northern (KY)

Hybrid

USD 140,000 - 180,000

Full time

2 days ago
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Job summary

ASCENDING is seeking a mid-level Staff SRE/Cloud SME to drive rearchitecting a large monolith into a cloud-native microservices platform. You will work across Azure and AWS with Kubernetes at the core, and mentor engineers in DevOps practices. This 100% remote, long-term contract requires U.S.

citizenship and the ability to work from within the continental United States. You will evaluate tools, design resilient networks, and implement monitoring, logging, and security to ensure scalable,

Qualifications

  • Cloud platforms: 7+ years across AWS and Azure.
  • Experience rearchitecting monoliths to cloud-native architectures.
  • Kubernetes with AKS and EKS, plus cloud networking and Terraform.
  • Security knowledge for containers and Kubernetes clusters.
  • Bachelor's or Master's degree in CS/Software Eng.

Responsibilities

  • Lead rearchitecting efforts from monolith to microservices on cloud-native platform.
  • Collaborate with Engineering, Architecture, Product using DDD principles.
  • Evaluate tools/frameworks and provide cloud-service recommendations.
  • Implement monitoring, logging, and alerting for system health and reliability.
  • Mentor junior engineers and promote DevOps practices across SDLC.

Skills

Cloud platforms (AWS & Azure)
Cloud-native architecture
Kubernetes (AKS, EKS)
Terraform
Cloud networking
Container security
Kubernetes security

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AKS
EKS
Terraform

Job description

Mid-level Site Reliability role at ASCENDING. Remote · contract.

devopsroles summary, based on the employer's posting.

What you'll do
  • Guide the move from a large monolith to cloud-native microservices, using domain-driven design with engineering, architecture and product teams
  • Assess tools, frameworks and cloud services, then recommend options for the new infrastructure
  • Use Kubernetes to run scalable, dependable services and build monitoring, logging and alerts for system health
  • Embed DevOps practices in development and deployment, and mentor junior engineers with technical guidance
What you bring
  • At least seven years working with cloud platforms, including strong hands‑on expertise in both AWS and Azure
  • At least seven years reshaping large monolithic applications into cloud-native architectures
  • Practical Kubernetes experience with AKS and EKS, plus strong cloud networking and Terraform skills
  • Strong security knowledge for containers and Kubernetes clusters, and a relevant bachelor's or master's degree
Who this fits

This staff-level technical leadership role suits someone who can guide architecture changes and mentor junior engineers. You must be a U.S. citizen and work from within the continental United States; the role is a long-term contract of at least three years.

From the employer

Required U.S. Citizenship / No clearance needed / 100% remote within the US
Staff Site Reliability Engineer / Cloud SME
Location: 100% remote in the continental US
Type: Long-term contract (3+ years)

Role Summary

As the Staff SRE/Cloud SME, you will be a critical technical leader driving the rearchitecting of our existing monolithic system into a resilient, cloud-native architecture. This role requires deep expertise across multiple cloud platforms (Azure and AWS) and container orchestration (Kubernetes) to ensure the next-generation platform meets the highest standards of scalability, reliability, and security.

Required U.S. Citizenship / No clearance needed / 100% remote within the US
Staff Site Reliability Engineer / Cloud SME
Location: 100% remote in the continental US
Type: Long-term contract (3+ years)

Architecture & Transformation Leadership
  • Lead the technical rearchitecting efforts, transforming a large-scale monolithic system into a modern microservices-based, cloud-native application.
  • Collaborate with cross-functional teams (Engineering, Architecture, Product) to define and implement the new system architecture using domain-driven design (DDD) principles.
  • Conduct technology evaluations and provide recommendations for new tools, frameworks, and cloud services to enhance our infrastructure.
Reliability Engineering & Cloud Operations
  • Utilize Kubernetes (K8S) for container orchestration and management, ensuring extreme scalability, reliability, and high availability of the system.
  • Implement robust, highly resilient, and highly available components for the system.
  • Develop and implement comprehensive monitoring, logging, and alerting mechanisms to ensure optimal system performance and availability.
  • Drive the adoption of DevOps principles and practices throughout the software development lifecycle, ensuring seamless integration and continuous deployment processes.
Technical Expertise & Mentorship
  • Stay up-to-date with emerging technologies, frameworks, and industry trends related to systems and cloud computing.
  • Mentor and provide technical guidance to junior team members, fostering a culture of continuous learning and professional growth.
Required Qualifications
  • Cloud Platforms: 7+ years of experience with cloud computing platforms. Strong multi-cloud expertise required with AWS and Azure.
  • Cloud-Native Transformation: 7+ years of experience in rearchitecting large-scale monolithic applications to cloud-native architectures.
  • Container Orchestration: Strong expertise in Kubernetes (K8S) is required, including hands-on experience with both AKS (Azure Kubernetes Service) and EKS (Elastic Kubernetes Service).
  • Networking: Strong experience with Cloud Networking, with the ability to design and resolve complex cloud networking architecture problems.
  • IaC: Expert knowledge of Terraform for infrastructure-as-code deployment and management.
  • Security: Must possess strong knowledge of security best practices for containers and Kubernetes clusters.
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Bonus Knowledge: Knowledge of load balancing algorithms.

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