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Senior DevOps Engineer: Cloud, Kubernetes; NYC

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Data Intellect Limited
Full Time, Contract position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Data Engineering, Systems Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.

We do this by living the [DI] code:

We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.

“We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO

We’re looking for an experienced Senior Dev Ops Engineer to join us on a contract basis in New York, working on a client engagement focused on building, improving and supporting scalable cloud infrastructure.

If you’re an experienced Dev Ops engineer who enjoys solving difficult infrastructure problems, automating everything you can and working closely with development teams, we want to hear from you.

What You’ll Be Doing

As a Senior Dev Ops Engineer at Data Intellect, you’ll work within a highly technical environment where reliability, scalability and performance matter. You’ll:

  • Build, improve and extend AWS infrastructure supporting production applications and services.
  • Implement and manage Kubernetes environments and create and upgrade Helm charts.
  • Build and improve CI/CD pipelines, automating build, testing and deployment processes.
  • Use Infrastructure as Code, including Terraform and Ansible, to create consistent and repeatable environments.
  • Improve monitoring and logging, helping teams identify issues and optimise application and infrastructure performance.
  • Automate infrastructure and operational processes using Bash and Python.
  • Troubleshoot complex infrastructure, networking, database and production issues.
  • Work closely with software engineers to improve development and deployment processes.
  • Help design scalable architecture for large customer environments.
  • Identify opportunities to improve performance, reliability, security and cloud cost efficiency.
  • Support incident management, root-cause analysis, disaster recovery and continuous improvement.

What You Bring

  • 5+ years' Dev Ops / infrastructure engineering experience in production environments.
  • Strong hands-on experience with AWS.
  • Excellent knowledge of Linux administration.
  • Strong experience with Docker and Kubernetes.
  • Hands-on experience with Terraform and Ansible.
  • Experience building and managing CI/CD pipelines;
    Git Lab CI/CD experience is particularly useful.
  • Strong scripting skills using Bash and/or Python.
  • Good understanding of cloud networking, routing and troubleshooting.
  • Experience working with web services such as NGINX, Apache and Tomcat.
  • Strong troubleshooting skills and the ability to diagnose complex production issues.
  • Excellent communication skills and the ability to explain complex technical concepts clearly.

Bonus Points For

  • Experience with Helm and managing Kubernetes deployments at scale.
  • Experience with logging and monitoring platforms.
  • Knowledge of SQL and No

    SQL databases
    .
  • Experience implementing Dev Sec Ops practices.
  • Cloud cost optimisation and performance engineering experience.
  • Experience designing infrastructure for PaaS or enterprise customer environments.
  • Previous experience within financial services or capital markets.

A little background on DI

Simply put – we turn big data problems into smart data solutions

At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

Welcome to Data Intellect.

#Challenge Accepted

Position Requirements
10+ Years work experience
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