Senior DevOps Engineer
IMPORTANT NOTE: This role is only available to residents of the United States. We are unable to employ anyone who is not physically located in the US, nor are we sponsoring Visas at this time. Please be aware that job offers are contingent upon a background check which includes identity & address verification and a criminal background check.
Who We Are
Akkadian Labs is a Collaboration Lifecycle Automation Platform that services some of the largest global enterprises and government agencies. Our platform currently reduces manual work by up to 90% and costs by as much as 50%, while improving accuracy and governance across leading Unified Communications platforms.
This ability to innovate at scale defines who we are: big enough to compete at the highest level, yet agile enough to stay ahead of a rapidly evolving market. Our culture is people-first, fully remote, and rooted in grit, clarity, trust and respect, because when our people thrive, so do our customers.
Who You Are
You are a hands-on Senior DevOps Engineer with deep experience designing, building, and strengthening the infrastructure that keeps platforms secure, compliant, and uncomplicated. You bring substantial experience maintaining production infrastructure and improving operational reliability through disciplined engineering practice. You have a track record of helping to scale systems with a focus on dependability, observability, deployment confidence, and repeatable processes that support long-term growth. You are energized by solving infrastructure challenges in complex enterprise environments and by building systems that reduce manual work, improve governance, and support operational accuracy at scale.
What You'll Do
This role supports Akkadian’s purpose to uncomplicate work by removing friction between people and their purpose — helping enterprise customers govern, automate, and continuously control complex collaboration environments across cloud, hybrid, and on-premises systems. You will design, implement, and maintain scalable and secure infrastructure and DevOps processes at Akkadian Labs. You will work closely with development, QA, and product teams to enable reliable deployments, automate workflows, and improve system observability across Rocky OS-based, AWS-hosted, and on-premises solutions.
This is a hands-on technical role focused on system-level execution, continuous improvement, and operational excellence within the DevOps function.
Key Responsibilities
Infrastructure and Environment Management
- Deploy and maintain scalable infrastructure in AWS and hybrid cloud environments.
- Manage infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools.
- Maintain Linux-based environments.
- Design and implement containerization using Docker and orchestration via Kubernetes.
AI and Agent Infrastructure Implementation & Support
- Design, deploy and manage AI agent workloads, including provisioning compute instances and managing resource scaling for inference-heavy tasks.
- Build and maintain model deployment pipelines, including versioning, testing, and rollback of AI models in production environments.
- Monitor AI API consumption and infrastructure costs, implementing alerting and controls to prevent runaway usage and support budget visibility.
- Collaborate with the engineering team to implement infrastructure-level security guardrails for AI systems, including access controls and data isolation for model inputs and outputs.
Observability and Reliability
- Manage monitoring and observability efforts using tools such as Prometheus, Grafana, and the ELK stack.
- Troubleshoot system issues and contribute to incident response and root cause analysis.
- Develop and execute strategies for improving system reliability, performance, and uptime.
CI/CD and Automation
- Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, Bitbucket CI/CD, or similar.
- Automate routine operational tasks including builds, testing, deployments, and system updates.
- Collaborate with engineering teams to integrate pipelines with Akkadian tools.
Security and Compliance
- Follow secure DevOps practices and implement and maintain security controls.
- Support compliance initiatives and vulnerability remediation efforts.
Collaboration and Documentation
- Work closely with DevOps, engineering, QA, and product teams to support deployments and releases.
- Maintain documentation for infrastructure, processes, and operational procedures.
- Participate in collaborative team processes and continuous improvement initiatives.
Requirements
- Experience: 10+ years of experience in DevOps or Site Reliability Engineering (SRE).
- Cloud Expertise: Expertise with AWS (e.g., EC2, ECS, S3, IAM, Lambda, CloudWatch).
- Infrastructure as Code: Expertise with infrastructure-as-code tools, including Terraform and CloudFormation.
- Linux Knowledge: Strong knowledge of Linux environments.
- Containerization: Experienced with Docker and Kubernetes.
- Scripting: Scripting ability in Python, Bash, or similar languages.
- CI/CD: Experience building or maintaining CI/CD pipelines and related tools.
- Observability: Experience in monitoring and observability tools such as Prometheus, Grafana, and ELK.
- Security: Experience in implementing secure DevOps practices and compliance frameworks (SOC2, ISO, etc).
- Experience supporting AI or machine learning workloads and compute environments.
- Exposure to AI model deployment pipelines and model versioning practices.
- Familiarity with hybrid cloud or on-premises environments.
- Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls.
- Experience supporting production systems and participating in on-call rotations.
IMPORTANT NOTE: This role is only available to residents of the United States. We are unable to employ anyone who is not physically located in the US, nor are we sponsoring Visas at this time. Please be aware that job offers are contingent upon a background check which includes identity & address verification and a criminal background check.
Benefits
We offer a fully remote environment, plus a competitive benefits package including medical, dental, vision, company-paid life insurance and disability policies, 401(k) with a generous matching program, and paid time off.
Skills
As published by workable · 13 questions · 5 written answers
Basics
First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter
Short answers (4)
- This is a remote position and requires residence in the continental United States. Please provide your full residential address where you live and work. This address will be verified prior to your employment, and this is where shipment of any necessary equipment will be sent.
- What are your annual salary expectations in USD?
- Which U.S. state do you currently reside in?
- What are your salary expectations?
Pick from a list (4)
- Our pre-employment and onboarding processes include identity verification, home address verification, and a background check. Please confirm your understanding and acknowledgment that employment will be contingent upon the successful verification of these checks.
- Are you willing and able to travel from your continental US address to the NYC metro for occasional company events?
- Are you legally authorized to work in the United States without sponsorship?
- We are considering an on-call rotation for this role, which may include nights and weekends. If implemented, are you willing and able to be on-call?
Written answers (5)
- Thank you in advance for taking the time to complete the five questions below. This important part of our process helps us to better understand how you think, learn, and operate at work, particularly in situations that require initiative, adaptability, and sound judgment. There are no right or wrong answers. We’re simply interested in your experiences and how you approached them. Your responses don't need to be perfect. We value specific examples and personal experience more than polished writing. We recognize that candidates may use AI tools when applying. You may use them here, but the examples must reflect your own experience, and you should be prepared to discuss your decisions and implementation in a live interview. __________________________________________________________ (1) Please share an example of time you had to learn something very quickly in order to be effective, how did you approach it, what did you prioritize, and what was the outcome?
- (2) What’s something you built, fixed, or improved (ideally touching on Terraform or CI/CD pipelines) even though no one asked you to?
- (3) Tell me about a time when things were unclear — goals, requirements, or direction — and you took responsibility for creating clarity. What did you do, and what changed as a result?
- (4) Tell us about a time you used AI in a piece of meaningful work. How did it change the speed or quality of your work, and how did you validate the output?
- (5) Tell us about one DevOps tool, technology, or engineering practice you've changed your mind about during the past year. What did you believe before? What specific experience caused you to reconsider? What do you believe today? Is there anything you still dislike about it?