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Splunk Software Engineer Jobs in Ohio (NOW HIRING)

As a Lead Software Engineer within the Consumer & Community Banking division, you will design and ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). • Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer in the Consumer & Community Banking division, you will design and build ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). • Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

Wells Fargo is seeking a Lead Software Engineer in the Core Banking Modernization - Enterprise ... Splunk, Prometheus, Github, Maven * 2+ years working with AI tools and agents like Devin, Copilot ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking (CCB ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

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Splunk Software Engineer information

See Ohio salary details

$60.4K

$140.3K

$195.4K

How much do splunk software engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for splunk software engineer in Ohio is $140,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a Splunk Software Engineer do?

A Splunk Software Engineer is responsible for designing, developing, and maintaining applications and solutions using Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated data. They create custom dashboards, alerts, and reports to help organizations gain insights from their data and improve operational efficiency. Additionally, they often integrate Splunk with other systems, ensure data accuracy, and optimize system performance to support security, IT operations, and business intelligence initiatives.

What are some typical challenges Splunk Software Engineers face when integrating Splunk with enterprise systems?

Splunk Software Engineers often encounter challenges when integrating Splunk with various enterprise systems, such as managing data ingestion from diverse sources, ensuring data normalization, and maintaining system performance at scale. It is common to work closely with IT, security, and operations teams to address compatibility issues and tailor dashboards or alerts to specific organizational needs. Staying up-to-date with Splunk add-ons and best practices can help mitigate these challenges and enable more seamless integration.

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

To thrive as a Splunk Software Engineer, you need strong expertise in software engineering, data analytics, and Splunk platform administration, typically supported by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk SPL (Search Processing Language), scripting languages like Python, and relevant certifications such as Splunk Certified Power User or Admin are highly valuable. Analytical thinking, problem-solving skills, and effective communication help you collaborate with stakeholders and resolve complex data challenges. These skills are crucial for efficiently managing data flows, ensuring security, and delivering actionable insights that support business goals.

What is the difference between Splunk Software Engineer vs Data Engineer?

AspectSplunk Software EngineerData Engineer
Required SkillsSplunk platform, scripting, data analysisSQL, ETL, data pipelines
Work EnvironmentIT, cybersecurity, analytics teamsData infrastructure, big data projects
CertificationsSplunk certifications, programmingCloud, Hadoop, Spark certifications

Splunk Software Engineers focus on developing and maintaining Splunk-based solutions for data analysis and security, while Data Engineers build and manage data pipelines and infrastructure. Both roles require strong technical skills, but Splunk Software Engineers specialize in Splunk tools, whereas Data Engineers work across various big data technologies.

What job categories do people searching Splunk Software Engineer jobs in Ohio look for?

The top searched job categories for Splunk Software Engineer jobs in Ohio are:

Infographic showing various Splunk Software Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $140,250 per year, or $67.4 per hour.

Lead Software Engineer

Columbus, OH • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
JPMorgan Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Lead Software Engineer within the Consumer & Community Banking division, you will design and build critical technology solutions across Chase AI components, while collaborating with cross-functional teams to deliver end-to-end solutions.
Responsibilities:
• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Adopt and learn new technologies that positively impact agentic solutions.
• Collaborate with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
• Lead code reviews, mentor junior engineers, and promote best practices in software engineering.
• Ensure compliance with security, privacy, and regulatory requirements in all software solutions.
Qualifications:
Required:
• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
• Proficient in coding in one or more languages: Java, Python; able to jump between Java and Python projects as needed.
• Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging.
• Solid AWS background with working knowledge of ECS or EKS, containerization (Docker), and CI/CD (GitHub Actions/Jenkins/CodeBuild).
• Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry).
• Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context windows, token budgeting, and safety guardrails.
• Strong testing culture: unit/integration tests, load tests, and evaluation datasets for agents.
• Excellent communication and cross-functional collaboration skills.
• Experience with agile methodologies and working in fast-paced, iterative development environments.
Preferred:
• Expertise with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data.
• Experience with safe rollout strategies (shadowing, A/B testing, progressive exposure), human-in-the-loop review, and continuous evaluation for quality and safety, including canary rollouts.
• Knowledge of API gateways, service mesh, and multi-region high availability and disaster recovery for mission-critical services.
• Familiarity with data privacy, security best practices, and regulatory compliance in financial services.
• Experience with performance optimization, scalability, and reliability engineering for large-scale systems.
• Ability to evaluate and integrate third-party tools, libraries, and frameworks to accelerate development.
• Demonstrated leadership in technical communities, open source contributions, or industry forums.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.