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Open nowPosted 28 days ago

Lead DevOps Engineer, New York

ion89 open roles

Pay
$180,000 – $210,000 a year
Where
New York
Work mode
On site
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Your applicationOpen nowLead DevOps Engineer, New Yorkion · New York

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Share of postings closed within
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  2. 3.5%3 days
  3. 7.7%7 days
  4. 13.4%14 days
  5. 34.4%30 days
This job: posted 28 days ago

The posting

Lab49 – Software Engineering /Full-Time /On-Site

Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance. We were founded in 2002 to bring Silicon Valley solutions to Wall Street’s door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data science.

Today, we are an established partner in financial markets, having delivered hundreds of projects for clients including all the world’s tier-one investment banks and many of the largest buy-side firms globally.

Being part of Lab49 means bringing your drive and creativity into an environment where your contributions will make immediate impact. Engineers will work in cross functional teams, consulting directly with our clients, shaping not only technical solutions to business problems but delivering them into production.

Lab49 is looking for a Lead DevOps Engineer who can help build enterprise-grade cloud infrastructure. Working in a collaborative and innovative project team, with direct enterprise client-facing interactions, you will have an opportunity to apply your skills and expertise to design sophisticated solutions that solve client challenges and enhance outcomes for them and their clients.

You will work shoulder-to-shoulder with Product and UX experts from Lab49and our client. In addition to the Lab49 project team, you will collaborate with client product and engineering stakeholders to guide the discovery and build phase of an exciting new initiative.

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.

Required Skills and Experience:

  • 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.

Desired Skills:

  • 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."

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

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.

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