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Splunk Developer Jobs in Massachusetts (NOW HIRING)

Trebecon LLC

Backend Java Developer

Boston, MA · Hybrid

$54.75 - $71.25/hr

... Splunk, ELK, Grafana, or Prometheus. • Experience with CI/CD pipelines and DevOps methodologies. Nice to Have • Financial Services, Banking, Healthcare, or Insurance domain experience. • ...

WEX

Software Development Engineer 3

Boston, MA

$121K - $145K/yr

Utilize Grafana Cloud and Splunk Cloud to build deep visibility into system health. Manage these ... * DevOps Mindset: Strong understanding of CI/CD pipelines and the ability to integrate ...

WEX

Software Development Engineer 3

Boston, MA

$121K - $145K/yr

Utilize Grafana Cloud and Splunk Cloud to build deep visibility into system health. Manage these ... * DevOps Mindset: Strong understanding of CI/CD pipelines and the ability to integrate ...

eNett

Software Development Engineer 3

Boston, MA · On-site

$121K - $145K/yr

Utilize Grafana Cloud and Splunk Cloud to build deep visibility into system health. Manage these ... * DevOps Mindset: Strong understanding of CI/CD pipelines and the ability to integrate ...

eNett

Software Development Engineer 3

Boston, MA · On-site

$121K - $145K/yr

Utilize Grafana Cloud and Splunk Cloud to build deep visibility into system health. Manage these ... * DevOps Mindset: Strong understanding of CI/CD pipelines and the ability to integrate ...

Cisco

Principal Machine Learning Engineer

Boston, MA

$291K - $369K/yr

Join theAI Modelsteam at Splunk, where we advance the state of AI for highvolume, realtime ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

Yantran LLC

Sr. Software Engineer

Washington, MA · On-site

$134K - $177K/yr

Splunk Presale Manager Position Overview The Splunk Presale Manager is a pivotal role within our organization, responsible for driving the technical sales process and ensuring customers fully ...

Ascensus, LLC.

Senior DevOps Engineer

Newton, MA · On-site

$142K - $183K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of hands-on ... Metrics, logging, and tracing with Prometheus, Grafana, Splunk, New Relic, CloudWatch ...

ASCENSUS

Senior DevOps Engineer

Newton, MA · Hybrid

$142K - $183K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of handson ... Metrics, logging, and tracing with Prometheus, Grafana, Splunk, New Relic, CloudWatch ...

Raytheon

DevSecOps Security Engineer

Andover, MA · On-site

The DevSecOps Security Engineer will join a collaborative team to develop, secure, and operate IT ... Splunk-based observability platform. • Assist in the implementation and monitoring of security ...

ASCENSUS

Senior DevOps Engineer

Boston, MA · Hybrid

$141K - $181K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of handson ... Metrics, logging, and tracing with Prometheus, Grafana, Splunk, New Relic, CloudWatch ...

Cannon Search

Endpoint Security Engineer

Boston, MA · On-site

$13K - $160K/yr

Splunk & Microsoft Sentinel * OS hardening, image builds, SCCM, Active Directory, WSUS * Active ... engineer who likes owning your stack and making a real impact, let's talk. Apply to this post or ...

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Splunk Developer information

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How much do splunk developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for splunk developer in Massachusetts is $65.72, according to ZipRecruiter salary data. Most workers in this role earn between $58.03 and $72.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk Developer, and why are they important?

To thrive as a Splunk Developer, you need expertise in data analysis, scripting (such as Python or Shell), and a solid understanding of Splunk's architecture, often supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Search Processing Language (SPL), and certifications like Splunk Core Certified Power User or Splunk Certified Developer are commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding Splunk Developers apart. These competencies are crucial for designing efficient data solutions, troubleshooting issues, and ensuring valuable insights are delivered to the organization.

What is the difference between Splunk Developer vs Splunk Administrator?

AspectSplunk DeveloperSplunk Administrator
Primary FocusDevelops and customizes Splunk apps, dashboards, and data visualizationsMaintains, configures, and manages Splunk infrastructure and data ingestion
Required SkillsSplunk SPL, scripting, data analysis, app developmentSplunk configuration, system management, troubleshooting
CertificationsSplunk Core Certified Power User, Certified DeveloperSplunk Core Certified Power User, Certified Admin
Work EnvironmentDevelopment teams, data analysis projectsIT operations, system administration

While both roles work with Splunk, developers focus on creating custom apps and dashboards, whereas administrators handle system setup, maintenance, and data management. Understanding these differences helps organizations assign the right skills to each role for effective Splunk deployment.

What are some common challenges Splunk Developers face when integrating data from diverse sources?

Splunk Developers often encounter challenges when integrating data from various sources, such as inconsistent data formats, incomplete logging, and differing time zones or encoding standards. Addressing these issues requires careful data normalization, crafting custom parsers, and collaborating closely with system administrators and application owners. Proactive communication and thorough documentation can help minimize integration hurdles and ensure accurate, actionable insights from the aggregated data.

What are Splunk Developers?

Splunk Developers are IT professionals who specialize in using Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated big data. They are responsible for creating dashboards, writing complex queries, and developing custom applications to help organizations gain insights from their data. Splunk Developers work closely with security, operations, and business teams to design solutions that automate data collection and reporting. Their work is crucial for organizations that rely on real-time data analysis and monitoring for security and operational efficiency.

What Is a Splunk Developer?

A Splunk developer uses the Splunk developer tools to design new software or business solutions. To fulfill their job duties, they must be familiar with all aspects of the Splunk tools, such as the extension for Visual Studio, Splunk data libraries, or plug-ins to code an application with Java or other programming languages easily. Qualifications for this career include a bachelor’s degree in computer science, work experience, and programming skills in languages supported by Splunk developer tools.

More about Splunk Developer jobs
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What job categories do people searching Splunk Developer jobs in Massachusetts look for? The top searched job categories for Splunk Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Splunk Developer jobs? Cities in Massachusetts with the most Splunk Developer job openings:
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Splunk Developer jobs near you
Infographic showing various Splunk Developer job openings in Massachusetts as of May 2026, with employment types broken down into 54% Full Time, 17% Part Time, 2% Temporary, and 27% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $136,690 per year, or $65.7 per hour.

Principal Machine Learning Engineer

Webex Events (formerly Socio)

Boston, MA

Other

Posted 8 days ago

Job description

Splunk AI Models Team

Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the AI Models team at Splunk, where we advance the state of AI for high-volume, real-time, multi-modal machine-generated data — including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience — designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration — all within a flexible, growth-oriented environment.

Your Impact
  • Set and Drive Vision: Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industry-defining challenges.
  • Architect and Lead Breakthroughs: Lead the end-to-end lifecycle of research, design, and deployment for large-scale foundation models targeting machine-generated data, with deep focus on logs and complementary modalities (time series, traces, events).
  • Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.
  • Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.
  • Foster Innovation: Embed cutting-edge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.
Minimum Qualifications:
  • PhD in Computer Science, or related quantitative field, plus 7+ years of industry research experience.
  • Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning-based time series modeling, advanced anomaly detection, and multi-modality modeling.
  • Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience translating research ideas into production systems.
Preferred Qualifications:
  • Deep NLP & Domain-Adapted LLMs: Background in building and adapting large-scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.
  • Log Analytics Expertise – In-depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
  • Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high-volume, real-time logs data.
  • Multi-Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
  • Large-Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
  • MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
  • Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state-of-the-art methods and real-world applications.

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