Senior DevOps Engineer
Data Intellect
- Location
- Hybrid (New York, New York)
- Employment
- Full-time
- Level
- Senior Level
About the role
Data Intellect is a global capital markets data and technology consultancy firm. This role involves building and supporting scalable AWS cloud infrastructure, automating operational processes, and collaborating with engineering teams to optimize performance and reliability.
Skills
Full job details
Company Description
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
Job Description
We’re looking for an experienced Senior DevOps Engineer to join us in New York, working on an exciting client engagement focused on building, improving and supporting scalable cloud infrastructure.
If you’re an experienced DevOps engineer who enjoys solving difficult infrastructure problems, automating everything you can and working closely with development teams, we want to hear from you.
As a Senior DevOps 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.
Qualifications
What You Bring:
- 5+ years' DevOps / 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; GitLab 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 NoSQL databases.
- Experience implementing DevSecOps 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.
* Must have right to work in US as we cannot offer visa sponsorship for this role.
* Must be New York based or commutable and open to working up to 5 days a week in the office.
Additional Information
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.
#ChallengeAccepted