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Remote Hcl Tech Jobs in Ridgefield Park, NJ (NOW HIRING)

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Remote Hcl Tech information

What are Remote HCL Tech jobs?

Remote HCL Tech jobs are positions offered by HCL Technologies that allow employees to work from locations outside of traditional office settings, typically from home. These roles can span various fields such as software development, IT support, consulting, and project management. Remote positions provide flexibility and may require strong communication and self-management skills. They often utilize digital tools to collaborate with teams and clients globally. Candidates typically need reliable internet access and must meet the technical requirements specified by HCL Technologies.

What is the difference between Remote Hcl Tech vs Remote Network Engineer?

AspectRemote Hcl TechRemote Network Engineer
Required CredentialsTypically requires a degree in IT, Computer Science, or related certifications like CCNA, CCNPRequires networking certifications such as CCNA, CCNP, or CompTIA Network+
Work EnvironmentRemote, often within IT or tech support teams for HCL TechnologiesRemote or on-site, focusing on designing, implementing, and maintaining network infrastructure
Employer & Industry UsageHCL Technologies, IT services, consultingTelecommunications, IT infrastructure, enterprise networks

Remote Hcl Tech roles typically involve IT support, software development, or technical consulting within HCL Technologies, while Remote Network Engineers focus on designing and managing network systems. Both roles often require networking certifications and can be performed remotely, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Remote HCL Tech, and why are they important?

To thrive as a Remote HCL Tech, you need a solid understanding of IT support, troubleshooting, and networking, typically supported by a degree in computer science or a related field. Familiarity with remote desktop tools, ticketing systems, and certifications such as CompTIA A+ or Microsoft Certified Solutions Expert (MCSE) are commonly required. Strong problem-solving abilities, effective communication, and self-motivation set top performers apart in remote environments. These skills ensure efficient technical support, high client satisfaction, and seamless collaboration across distributed teams.

What are some common challenges faced by employees working remotely at HCL Tech, and how does the company support remote teams?

Working remotely at HCL Tech can present challenges such as adapting to virtual collaboration, managing time effectively, and maintaining clear communication with global teams. To support remote employees, HCL Tech provides access to advanced collaboration tools, regular virtual meetings, and online training sessions. The company also fosters a culture of open communication and encourages regular feedback, ensuring remote workers feel connected and supported.
What job categories do people searching Remote Hcl Tech jobs in Ridgefield Park, NJ look for? The top searched job categories for Remote Hcl Tech jobs in Ridgefield Park, NJ are:
Remote Hcl Tech jobs near you
Infographic showing various Remote Hcl Tech job openings in Ridgefield Park, NJ as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.

Senior DevOps Engineer (Remote)

Moody's Analytics

New York, NY • Remote

$142K - $182K/yr

Full-time

Posted 13 days ago

Job description

Senior DevOps & MLOps Engineer @ Moody's [IMMEDIATE FILL]Do you have a healthy disregard for the status quo? 
Does scaling from zero to thousands get you excited?? Check this out..

We are in search of a self-motivated and versatile Senior DevOps & MLOps Engineer with the ability to work in an energetic and interactive environment. You must be a self-starter with a passion for crafting innovative software solutions. You will regularly learn and implement new technologies, and play an active role in developing, proving out, and (re)assessment of existing architectures.

JOB RESPONSIBILITIES

  • Deployment and productionisation or machine learning model applications in production.
  • Design and develop reusable Terraform and Ansible modules.
  • Lead the team in various aspects around stability, application delivery, and availability .
  • Maintain a strong security awareness through frequent assessments and software architecture design processes.
  • Influence technology selection, software architecture design, security practices and implementation.

JOB REQUIREMENTS

  • Extensive experience in DevOps engineering, team management, and collaboration.
  • Be ready, willing, and able to work in a fast-paced environment with a strong desire to run to trouble.
  • Proficiency in shell scripting, python, and HCL.
  • Knowledge and experience working with distributed systems.
  • Extensive knowledge & experience with git, linux system administration, docker, and databases including elasticsearch and/or Postgres and/or MySQL.
  • Kubernetes expert administrator with a security mindset.
  • Capable of orchestrating service delivery across over 20 distributed kubernetes clusters.
  • Extensive knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong communication and problem-solving skills with the ability to discuss projects with colleagues who have little technical knowledge of devops techniques and tools.
  • Ability to oversee and provide significant valuable input regarding infrastructure design and maintenance.

INTERVIEW PROCESS

  1. Send us your resume, some deets on how you absolutely own kubernetes at scale, and a good joke (optional).
  2. Jump straight into a technical call with our Senior Systems Architect and maybe a lead or two for an hour or so.
  3. If you're happy and we can change the ML landscape with our bare hands let's talk about an offer!

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ABOUT MOODY'S ANALYTICS MACHINE LEARNING TEAM

We are a team that creates and delivers machine learning models and applications for the financial services industry. At a high level, an example initiative is that we ingest millions of news articles and other various data sources and process the data through pipelines to produce results such as entity recognition, sentiment analysis, credit adversity, and more.

Interested in machine learning? Take advantage of our growing team's collective knowledge and learn as you go. 
We fully embrace cross-training and continuous learning.

Employment Type: FULL_TIME

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