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Elasticsearch Remote Jobs in Basking Ridge, NJ (NOW HIRING)

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

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 ...

Telmar Group

DevOps Engineer

Manhattan, NY · Remote

$57.75 - $79.25/hr

Remote / NYC -East Coast Position Reports to: SVP, Engineering TelmarHelixa: Where AI Meets ... Deep expertise with all-things AWS (EC2, ElasticSearch, S3, IAM, Bedrock, EKS, etc). * Strong hands ...

All JobsElasticsearch Remote JobsElasticsearch Remote Jobs in Basking Ridge, NJ

Elasticsearch Remote information

See Basking Ridge, NJ salary details

$86.1K

$130.9K

$176.2K

How much do elasticsearch remote jobs pay per year?

As of Jul 1, 2026, the average yearly pay for elasticsearch remote in Basking Ridge, NJ is $130,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $147,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Elasticsearch Remote position, and why are they important?

To thrive as an Elasticsearch Remote professional, you need strong experience with Elasticsearch, data indexing, distributed systems, and query optimization, typically supported by a background in computer science or a related field. Familiarity with tools such as Kibana, Logstash, Beats, as well as cloud platforms (AWS, GCP, or Azure), and relevant certifications like Elastic Certified Engineer are often required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial for success in a distributed work environment. These competencies ensure that you can build, maintain, and improve scalable search solutions while collaborating efficiently across remote teams.

What is an Elasticsearch Remote job?

An Elasticsearch Remote job is a position where professionals work with Elasticsearch, a powerful search and analytics engine, from a remote location. These roles typically involve tasks such as optimizing search performance, managing Elasticsearch clusters, and integrating Elasticsearch with various applications. Remote Elasticsearch professionals can work as developers, engineers, or administrators, ensuring efficient indexing, querying, and data management. Companies hire remote Elasticsearch experts to maintain and scale their search infrastructure without requiring on-site presence. This type of job offers flexibility while allowing specialists to contribute to large-scale data and search projects.

What are the typical day-to-day responsibilities of a remote Elasticsearch specialist?

As a remote Elasticsearch specialist, your daily tasks often include configuring and managing Elasticsearch clusters, monitoring performance, optimizing queries, and troubleshooting data issues. You will also work with development and DevOps teams to implement new features and ensure the reliability and scalability of search infrastructure. Regular collaboration via chat, video meetings, and project management tools is common, and you may participate in peer code reviews and knowledge-sharing sessions. Staying up to date with the latest Elasticsearch developments and documenting best practices are also important aspects of the role.

What are popular job titles related to Elasticsearch Remote jobs in Basking Ridge, NJ? For Elasticsearch Remote jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Remote jobs in Basking Ridge, NJ look for? The top searched job categories for Elasticsearch Remote jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Elasticsearch Remote jobs? Cities near Basking Ridge, NJ with the most Elasticsearch Remote job openings:
Elasticsearch Remote jobs near you

Senior DevOps Engineer (Remote)

Moody's Analytics

New York, NY • Remote

$142K - $182K/yr

Full-time

Posted 19 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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