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Remote Splunk Jobs in New Jersey (NOW HIRING)

DevOps Engineer

Hoboken, NJ · Remote

$57.75 - $79/hr

Our culture is people-first, fully remote, and rooted in respect, innovation, and teamwork, because when our people thrive, so do our customers. Who You Are The DevOps Engineer will support the ...

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How much do remote splunk jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote splunk in New Jersey is $61.09, according to ZipRecruiter salary data. Most workers in this role earn between $53.94 and $67.36 per hour, depending on experience, location, and employer.

What is a Remote Splunk?

A Remote Splunk job involves working with Splunk, a data analysis and monitoring platform, from a remote location. Responsibilities typically include configuring, managing, and troubleshooting Splunk environments, creating dashboards, and analyzing log data to identify security or operational issues. These roles are common in cybersecurity, IT operations, and data analytics. Remote Splunk professionals need expertise in Splunk software, data ingestion, scripting, and sometimes cloud platforms.

What does a typical workday look like for someone in a Remote Splunk role?

In a Remote Splunk role, your day typically involves monitoring and analyzing log data to detect security incidents, creating and optimizing Splunk queries, building dashboards, and collaborating with IT or security teams to troubleshoot issues. Most tasks are performed independently from your home office, but you’ll often participate in virtual meetings to review findings, implement solutions, and support ongoing projects. You may also spend time documenting processes, providing input on best practices, and staying updated on new Splunk features or security trends. This remote structure allows for flexibility while remaining highly connected to team goals and incident response efforts.

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

To excel as a Remote Splunk professional, you need strong analytical skills, experience with Splunk or SIEM tools, and a background in IT, cybersecurity, or systems administration. Familiarity with Splunk Enterprise, Splunk Cloud, SPL (Search Processing Language), and relevant certifications like Splunk Certified Power User or Administrator is highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. These competencies help ensure the efficient detection, analysis, and mitigation of security incidents while facilitating effective teamwork in a remote environment.

What are the most commonly searched types of Splunk jobs in New Jersey?

The most popular types of Splunk jobs in New Jersey are:

What are popular job titles related to Remote Splunk jobs in New Jersey?

For Remote Splunk jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Splunk jobs in New Jersey look for?

The top searched job categories for Remote Splunk jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Splunk jobs?

Cities in New Jersey with the most Remote Splunk job openings:

Infographic showing various Remote Splunk job openings in New Jersey as of August 2026, with employment types broken down into 3% Internship, 64% Full Time, 6% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,067 per year, or $61.1 per hour.

DevOps Engineer

Akkadian Labs

Hoboken, NJ • Remote

$57.75 - $79/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

IMPORTANT NOTE: This role is only available to residents of the United States. We are unable to employ anyone who is not physically located in the US, nor are we sponsoring Visas at this time. Please be aware that job offers are contingent upon a background check which includes identity & address verification and a criminal background check.

Who We Are

Akkadian Labs is a Collaboration Lifecycle Automation Platform that services some of the largest global enterprises and government agencies. Our platform currently manual work by up to 90% and costs by as much as 50%, while improving accuracy and governance across leading Unified Communications platforms.

This ability to innovate at scale defines who we are: big enough to compete at the highest level, yet agile enough to stay ahead of a rapidly evolving market. Our culture is people-first, fully remote, and rooted in respect, innovation, and teamwork, because when our people thrive, so do our customers.

Who You Are

The DevOps Engineer will support the design, implementation, and maintenance of scalable and secure infrastructure and DevOps processes at Akkadian Labs. You will work with development, QA, and product teams to enable reliable deployments, automate workflows, and improve system observability across Rocky OS-based, AWS-hosted, and on-premises solutions.

This is a hands-on technical role focused on execution, continuous improvement, and operational excellence within the DevOps function led by the DevOps Manager.

Key Responsibilities

Infrastructure and Environment Management

  • Support deployment and maintenance of scalable infrastructure in AWS and hybrid cloud environments.
  • Assist in managing infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools.
  • Help maintain Linux-based environments.
  • Contribute to containerization efforts using Docker and orchestration via Kubernetes.
  • AI and Agent Infrastructure Implementation & Support
  • Work on the design, deployment and management of AI agent workloads, including provisioning compute instances and managing resource scaling for inference-heavy tasks.
  • Play a key role in building and maintaining model deployment pipelines, including versioning, testing, and rollback of AI models in production environments.
  • Monitor AI API consumption and infrastructure costs, implementing alerting and controls to prevent runaway usage and support budget visibility.
  • Coordinate the implementation of infrastructure-level security guardrails for AI systems, including access controls and data isolation for model inputs and outputs.

Observability and Reliability

  • Manage monitoring and observability efforts using tools such as Prometheus, Grafana, and the ELK stack.
  • Troubleshoot system issues and contribute to incident response and root cause analysis.
  • Develop and execute strategies for improving system reliability, performance, and uptime.

CI/CD and Automation

  • Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, BitBucket CI/CD, or similar.
  • Automate routine operational tasks including builds, testing, deployments, and system updates.
  • Work with engineering teams to integrate pipelines with Akkadian tools.

Security and Compliance

  • Follow secure DevOps practices and assist in implementing security controls.
  • Support compliance initiatives and vulnerability remediation efforts.

Collaboration and Documentation

  • Work closely with DevOps, engineering, QA, and product teams to support deployments and releases.
  • Maintain documentation for infrastructure, processes, and operational procedures.
  • Participate in team ceremonies and continuous improvement initiatives.

Requirements

Required Qualifications 

  • Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role. 
  • Cloud Expertise: Hands-on experience with AWS (e.g., EC2, ECS, S3, IAM, Lambda, CloudWatch). 
  • Linux Knowledge: Working knowledge of Linux environments. 
  • Containerization: Familiarity with Docker and Kubernetes. 
  • Scripting: Basic to intermediate scripting ability in Python, Bash, or similar languages. 
  • CI/CD: Experience building or maintaining CI/CD pipelines and related tools. 
  • Observability: Exposure to monitoring and observability tools such as Prometheus, Grafana, and ELK. 
  • Security: Understanding of secure DevOps practices and basic compliance concepts. 

Preferred Qualifications 

  • Experience supporting AI or machine learning workloads, compute environments. 
  • Exposure to AI model deployment pipelines and model versioning practices. 
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation. 
  • Familiarity with hybrid cloud or on-premises environments. 
  • Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls. 
  • Experience supporting production systems and participating in on-call rotations. 

IMPORTANT NOTE: This role is only available to residents of the United States. We are unable to employ anyone who is not physically located in the US, nor are we sponsoring Visas at this time. Please be aware that job offers are contingent upon a background check which includes identity & address verification and a criminal background check.

Benefits

We offer a fully remote environment, plus a competitive benefits package including medical, dental, vision, company-paid life insurance and disability policies, 401(k) with a generous matching program, and paid time off.