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Splunk Engineer Jobs in Denver, CO (NOW HIRING)

Datadog, Prometheus, CloudWatch, or Splunk. * DevOps awareness: CI/CD (GitHub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools.

DevOps / Cloud Engineer

Englewood, CO

$52 - $71.25/hr

... Engineer Location: Englewood, CO Type: Contract to Hire Length: 3 months Our client in the ... Splunk, ELK Stack, other logging technologies. 4) Akamai. 5) Powershell, PHP, NoteJS. 6) VI and ...

At Splunk,we'redriven by a bold vision: to make machine data accessible, usable, and valuable to ... Mentor junior engineers and contribute to a culture of learning, ownership, and continuous ...

Datadog, Prometheus, CloudWatch, or Splunk. DevOps awareness: CI/CD (GitHub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools. #LI-AH1#LI-HYBRID

We are seeking a Cybersecurity Engineer to design, implement, and maintain security solutions ... Splunk * CrowdStrike * Microsoft Defender * Palo Alto Networks * AWS/Azure security * CISSP, CEH ...

We are seeking a SOAR Engineer for an opportunity that is 100% onsite in Washington, DC. All ... Hands-on experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, Swimlane, or Tines.

We are seeking a SOAR Engineer for an opportunity that is 100% onsite in Washington, DC. All ... Hands-on experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, Swimlane, or Tines.

Meet the Team Join the Splunk IAM Engineering team. As AI adoption accelerates and autonomous agents are created at unprecedented speed, identity has become a critical control plane for enterprise ...

DevOps / Cloud Engineer

Englewood, CO · On-site

$52 - $71.25/hr

... Cloud Engineer to join their team, responsible for development and scripting to facilitate a ... Splunk, ELK Stack, other logging technologies • Akamai • Powershell, PHP, NoteJS • VI and ...

Staff Platform Engineer - Platform Development Location: Denver, CO preferred (Hybrid) | Also open ... Experience with observability and monitoring tools such as Splunk or Datadog * Experience within ...

Java Developer

Denver, CO · On-site

$52.50 - $68/hr

Vantage Point Consulting Inc. is seeking a Java Developer to work onsite at their client office in ... Responsibilities : • Abstract and Interface • Splunk • Microservice creation • Container ...

Software Engineer

Boulder, CO · On-site +1

$128K - $184K/yr

Our work sits at the heart of the Cisco and Splunk integration, providing the critical ... We are a collaborative, high-performing group of engineers who value clean code, rigorous testing ...

Software Engineer

Boulder, CO · On-site

$128K - $184K/yr

Our work sits at the heart of the Cisco and Splunk integration, providing the critical ... We are a collaborative, high-performing group of engineers who value clean code, rigorous testing ...

Site Reliability Engineer

Westminster, CO · On-site

$57.50 - $76.50/hr

... and Splunk for monitoring, logging, and alerting. * Perform code deployments and manage CI/CD ... Bachelor's degree in Computer Engineering or a related field. * At least 5 years of technical ...

Site Reliability Engineer

Westminster, CO · On-site

$57.50 - $76.50/hr

... and Splunk for monitoring, logging, and alerting. * Perform code deployments and manage CI/CD ... Bachelor's degree in Computer Engineering or a related field. * At least 5 years of technical ...

Showing results 21-40

Splunk Engineer information

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

Is Splunk a good place to work?

Splunk engineers typically work in a technology-focused environment that emphasizes data analysis, security, and system monitoring. The company offers opportunities for skill development with tools like Splunk Enterprise and often provides a collaborative workplace culture. Job satisfaction can vary based on individual roles and team dynamics.

Is Splunk in high demand?

Splunk engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in Splunk, often requiring knowledge of scripting, dashboards, and certifications, leading to strong job growth in this field.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

What are the most commonly searched types of Splunk Engineer jobs in Denver, CO?

The most popular types of Splunk Engineer jobs in Denver, CO are:

What are popular job titles related to Splunk Engineer jobs in Denver, CO?

For Splunk Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in Denver, CO look for?

The top searched job categories for Splunk Engineer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Splunk Engineer jobs?

Cities near Denver, CO with the most Splunk Engineer job openings:

Infographic showing various Splunk Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

TypeScript Architect

MethodHub

Denver, CO • On-site

Other

Re-posted 3 days ago


Job description

TypeScript Architect

Location: Denver CO-Onsite

Duration: 12 months

TypeScript Architect with a strong background in event-driven microservices, real-time data pipelines (Kafka), and cloud-native application design. The ideal candidate will drive the technical architecture for scalable backend systems leveraging TypeScript/Node.js, DynamoDB, Kafka, and advanced caching and performance optimization strategies.

  • Architect scalable backend systems using TypeScript/Node.js and event-driven patterns (Kafka, SNS/SQS, or equivalent).
  • Design and implement streaming and asynchronous processing pipelines for large-scale workloads.
  • Define and enforce data modeling and partitioning strategies for DynamoDB to handle high-write workloads efficiently.
  • Establish and optimize caching layers (Redis, Elasticache, DAX, or in-memory caching) for high-performance APIs.
  • Perform profiling and performance tuning across the stack (CPU, memory, network, database, I/O).
  • Define API contracts, message schemas (Avro/JSON), and versioning standards for inter-service communication.
  • Implement observability practices metrics, tracing, and structured logging to proactively monitor performance bottlenecks.
  • Collaborate with DevOps to ensure CI/CD pipelines, IaC (CloudFormation/Terraform), and autoscaling policies support architectural goals.
  • Mentor engineering teams on TypeScript best practices, async programming, and microservice resilience patterns(circuit breaker, retry, backoff, etc.).
  • Partner with stakeholders to evolve system architecture in alignment with business growth and product roadmaps.

Required Skills

  • Strong expertise in TypeScript & Node.js, including async/await, streams, and worker threads.
  • Kafka architecture & tuning: partitioning, consumer groups, rebalancing, offset management, and schema evolution.
  • AWS DynamoDB: data modeling, secondary indexes, TTL, streams, DAX, and best practices for large-scale design.
  • Caching frameworks: Redis, Memcached, DAX, or CDN edge caching.
  • Performance tuning & scalability: CPU profiling, async I/O optimization, connection pooling, and load testing.
  • API design: REST and GraphQL, including schema federation and gateway design.
  • Monitoring tools: Datadog, Prometheus, CloudWatch, or Splunk.
  • DevOps awareness: CI/CD (GitHub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools.