Devops Engineer

Machine Learning Technologies, LLC

Middletown (NJ)

On-site

USD 120,000 - 160,000

Full time

26 hours ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Verisk Analytics is seeking an experienced DevOps Engineer with 5+ years in application development, infrastructure, and DevOps practices. The role emphasizes hands-on AWS, Python scripting, and CI/CD with Bamboo and Octopus Deploy, ensuring reliable deployments across environments.

Onsite work in Holmdel, NJ two days per week, collaboration across BFSI-focused teams, and a strong focus on automation, monitoring, and security to enhance deployment processes and system reliability.

Qualifications

  • Minimum 5 years of DevOps engineering experience.
  • Hands-on experience with AWS cloud services.
  • Proficient in Python scripting and automation.
  • Experience with Bamboo for CI/CD.
  • Experience with Octopus Deploy for automated deployments.
  • BFSI industry experience.
  • Strong troubleshooting and collaboration skills.
  • On-site work in Holmdel, NJ two days per week.

Responsibilities

  • Design, implement, and maintain automated CI/CD pipelines using Bamboo and Octopus Deploy.
  • Develop Python scripts to automate operational tasks, infrastructure processes, and application workflows.
  • Configure, manage, and support AWS cloud infrastructure and services.
  • Collaborate with application development and infrastructure teams to improve deployment processes and system reliability.
  • Troubleshoot build, deployment, infrastructure, and application-related issues.
  • Implement DevOps best practices for automation, monitoring, scalability, security, and performance.
  • Support application releases and ensure consistent, reliable deployments across environments.
  • Work with cross-functional teams to improve development, testing, and production deployment workflows.

Skills

DevOps
AWS cloud services
Python scripting
Automation
Troubleshooting
Collaboration

Tools

Bamboo
Octopus Deploy

Job description

Job Description

Verisk Analytics is seeking an experienced DevOps Engineer with a minimum of 5 years of experience across application development, infrastructure, and DevOps practices. The ideal candidate will have strong hands-on expertise in AWS, Python, Bamboo, and Octopus Deploy, with experience automating software delivery pipelines and managing cloud infrastructure.

Key Responsibilities
  • Design, implement, and maintain automated CI/CD pipelines using Bamboo and Octopus Deploy.
  • Develop Python scripts to automate operational tasks, infrastructure processes, and application workflows.
  • Configure, manage, and support AWS cloud infrastructure and services.
  • Collaborate with application development and infrastructure teams to improve deployment processes and system reliability.
  • Troubleshoot build, deployment, infrastructure, and application-related issues.
  • Implement DevOps best practices for automation, monitoring, scalability, security, and performance.
  • Support application releases and ensure consistent, reliable deployments across environments.
  • Work with cross-functional teams to improve development, testing, and production deployment workflows.
Required Qualifications
  • Minimum 5 years of DevOps engineering experience.
  • Strong understanding of both application development and infrastructure operations.
  • Hands-on experience with AWS cloud services.
  • Strong proficiency in Python scripting and automation.
  • Practical experience with Bamboo for CI/CD pipeline management.
  • Experience with Octopus Deploy for automated application deployments.
  • Previous experience working within the Banking, Financial Services, or Insurance (BFSI) industry.
  • Strong troubleshooting, problem-solving, and collaboration skills.
  • Ability to work onsite in Holmdel, NJ, two days per week.
  • Candidates should demonstrate hands-on experience with AWS, Python, and Bamboo. Octopus Deploy experience is also expected.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Devops Engineer
Devops Engineer

Quantum Technologies. LLC • Middletown (NJ)

Hybrid
USD 120,000 - 160,000
Devops Engineer
Devops Engineer

Valiant Technologies LLC • Middletown (NJ)

On-site
USD 120,000 - 150,000
Devops Engineer
Devops Engineer

Robotic Process Automation LLC • Middletown (NJ)

On-site
USD 120,000 - 160,000
Senior DevOps Engineer: AWS, Python & CI/CD Automation
Senior DevOps Engineer: AWS, Python & CI/CD Automation

Robotic Technologies Automation • Middletown (NJ)

On-site
USD 120,000 - 160,000
Hybrid DevOps Engineer - AWS, Python, CI/CD Specialist
Hybrid DevOps Engineer - AWS, Python, CI/CD Specialist

Machine Learning Technologies, LLC • Middletown (NJ)

On-site
USD 120,000 - 160,000
Senior DevOps Engineer - AWS, Python & CI/CD Automation
Senior DevOps Engineer - AWS, Python & CI/CD Automation

Quantum Technologies. LLC • Middletown (NJ)

Hybrid
USD 120,000 - 160,000
Hybrid DevOps Engineer - AWS, Python & CI/CD Expert
Hybrid DevOps Engineer - AWS, Python & CI/CD Expert

Valiant Technologies LLC • Middletown (NJ)

On-site
USD 120,000 - 150,000
DevOps Engineer
DevOps Engineer

Data Speed Technology • New York (NY)

On-site
USD 80,000 - 120,000
DevOps Engineer
DevOps Engineer

Ideal Innovations Incorporated • Bethesda (MD)

On-site
USD 140,000 - 200,000
DevOps Engineer
DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC • San Jose (CA)

On-site
USD 120,000 - 190,000