Lead DevOps Engineer, New York

ION Group•New York, NY

6d•$180,000 - $210,000•Onsite

About The Position

Lab49 is seeking a Lead DevOps Engineer to help build enterprise-grade cloud infrastructure. In this role, you will work in a collaborative and innovative project team, interacting directly with enterprise clients. You will have the opportunity to apply your skills and expertise to design sophisticated solutions that address client challenges and improve outcomes for them and their clients. You will collaborate closely with Product and UX experts from Lab49 and the client, as well as client product and engineering stakeholders, to guide the discovery and build phases of a new initiative.

Requirements

12+ years of experience in cloud infrastructure, automation, and DevOps engineering, with at least 5+ years in a leadership or senior engineering role.
Expertise with infrastructure-as-code tooling, particularly Terraform, to build scalable and reliable cloud infrastructure.
Extensive experience architecting, designing, and deploying cloud-native applications, with a strong focus on Amazon Web Services (AWS).
In-depth knowledge of AWS cloud services and a deep understanding of container technologies like Docker (Kubernetes experience is a plus).
Hands-on experience with CI/CD pipelines, including GitHub Actions, Jenkins, or other CI/CD tools.
Proven track record of collaborating with cross-functional teams on architecture, features, and complex problem-solving.
Excellent communication skills, with the ability to articulate technical concepts to non-technical audiences and interact effectively with clients and diverse technical teams.
Strong grasp of software design patterns, development methodologies, and agile practices.
Bachelor’s degree in Computer Science or equivalent practical experience.

Nice To Haves

Experience with CloudFormation, CDK, Helm, and other infrastructure automation tools.
Familiarity with migrating legacy applications to the cloud and modernizing existing systems.
Deep understanding of cloud security concepts and tools, including AWS IAM, HashiCorp Vault, CyberArk, etc.
Experience with cloud data services like AWS Aurora, DynamoDB, and other database technologies.
Proficiency in at least one programming language (Java, JavaScript, Python, Go; Python preferred).
Expertise with Serverless Architectures and AWS Lambda.
Hands-on exposure to AI infrastructure tooling such as AWS Bedrock, LLM gateways, token cost management, and AWS AgentCore.
Familiarity with AI agent frameworks such as LangChain.
Experience using AI coding assistants such as Claude Code, Codex, or Cursor.
Awareness of emerging concepts like context engineering and AI-driven SDLC.

Responsibilities

Lead the architecture, design, development, and deployment of DevOps workflows to support cloud-native applications and enterprise-grade infrastructure.
Automate development and operational workflows using tools like Terraform, GitLab/GitHub, Jenkins, SonarQube, Fortify, etc.
Collaborate with team leadership and cross-functional technologists to design and implement enterprise DevOps solutions that align with technical priorities.
Champion the adoption of robust cloud architecture, DevOps best practices, and emerging cloud technologies.
Break down complex technical problems into effective, elegant solutions to drive client success.
Provide guidance, mentorship, and technical leadership to development teams, fostering cloud competencies and a culture of continuous improvement.
Drive teams to deliver outcomes by prioritizing work, managing dependencies, and ensuring stakeholder alignment throughout the process.
Effectively bring client stakeholders along in the journey, ensuring they are informed, engaged, and supportive of the technical direction.
Communicate complex technical concepts to both technical and non-technical stakeholders, ensuring clarity and alignment.
Define, document, and drive best practices for application deployment, infrastructure maintenance, and cloud service management.
Lead the evaluation and implementation of new cloud tools and technologies.