1

Elk Stack Jobs in Pennsylvania (NOW HIRING)

Java Full Stack Developer

Pittsburgh, PA · On-site

$49 - $63.25/hr

Title: Java Full Stack Developer Location: Pittsburgh PA Duration: Full Time * A Developer/ Lead ... Glassbox, Adobe Analytics, ELK etc. * UI Screens development using angular/node. Roles ...

Java Full Stack Developer

Pittsburgh, PA · On-site

$49 - $63.25/hr

Title: Java Full Stack Developer Location: Pittsburgh PA Duration: Full Time * A Developer/ Lead ... Glassbox, Adobe Analytics, ELK etc. * UI Screens development using angular/node. Roles ...

Lead Java Developer

Pittsburgh, PA · On-site

$110K - $120K/yr

Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack). We offer: * A highly competitive compensation and benefits package. * A multinational organization with 60 offices in ...

Lead Java Developer

Pittsburgh, PA · On-site

$110K - $120K/yr

Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack). We offer: * A highly competitive compensation and benefits package. * A multinational organization with 60 offices in ...

Monitoring and logging tools (Elk stack, Loki, Grafana, Mimir, Tempo, Alloy, OTEL) * Version control systems expertise (Git) * Cybersecurity best practices (NIST, RMF, CMMC, ACAS, SAST, DAST) * Agile ...

Showing results 41-60

Elk Stack information

See Pennsylvania salary details

$42.8K

$116.9K

$167.6K

How much do elk stack jobs pay per year?

As of Sep 4, 2026, the average yearly pay for elk stack in Pennsylvania is $116,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $135,100.00 per year, depending on experience, location, and employer.

What is the ELK Stack?

The ELK Stack is a collection of three open-source tools—Elasticsearch, Logstash, and Kibana—commonly used for searching, analyzing, and visualizing large volumes of log data in real time. Elasticsearch is a powerful search and analytics engine, Logstash is a data processing pipeline that ingests and transforms data, and Kibana provides visualization capabilities on top of the data stored in Elasticsearch. Together, they help organizations monitor applications, troubleshoot issues, and gain insights from their data.

What are the key skills and qualifications needed to thrive as an ELK Stack engineer, and why are they important?

To thrive as an ELK Stack Engineer, you need a solid understanding of Elasticsearch, Logstash, and Kibana, as well as experience with data indexing, search, and visualization, typically supported by a degree in computer science or related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and certifications like Elastic Certified Engineer are commonly valuable. Strong problem-solving, analytical thinking, and effective communication skills help you interpret data requirements and collaborate with teams. These competencies are crucial to designing, implementing, and maintaining scalable log management and analytics solutions that support business operations.

What are some typical challenges faced when managing and scaling an ELK Stack deployment in a production environment?

One common challenge is ensuring the ELK Stack remains performant as log volume and query complexity increase, which often requires careful resource planning and tuning of Elasticsearch indices. Another challenge is maintaining data security and compliance, as logs can contain sensitive information that must be protected. Additionally, team members often need to collaborate closely with DevOps, security, and development teams to tailor dashboards and alerts to business needs, which can demand strong communication and coordination skills. Proactive monitoring, regular updates, and automation can help address these challenges and ensure reliable log management.

What cities in Pennsylvania are hiring for Elk Stack jobs?

Cities in Pennsylvania with the most Elk Stack job openings:

Infographic showing various Elk Stack job openings in Pennsylvania as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,941 per year, or $56.2 per hour.

Technical Architect/Sr Development Lead

Global IT Investors Inc dba TechnoVal Alliance

Philadelphia, PA • On-site

Contractor

Re-posted 22 days ago


Job description

Job Title-Technical Architect/Sr Development Lead

Job Location: Philadelphia, PA

Duration: Long Term Contract 

Hybrid schedule (3 days in office & 2 days remote)
 
We are seeking a highly experienced Development Lead / Solution Architect to spearhead the design and development of scalable, resilient backend systems. This role requires a senior technologist with a strong architectural mindset and hands-on coding expertise. The ideal candidate will combine strategic architectural vision with practical development leadership, owning end-to-end solution design and driving implementation from concept to production in a client-facing environment.
 
Required Experience & Technical Skills:
10-14 years of overall software development experience with 4 plus years in technical lead/architect roles
3-4 years in architecture / technical leadership roles.
Strong hands-on experience in Python for backend development
Experience in Java, especially Spring Boot and Microservices
Proven expertise in solution architecture and distributed system design
Extensive experience with AWS cloud services (EC2, S3, Lambda, RDS, EKS, etc.)
Strong understanding of microservices and distributed architectures
Hands-on experience with Docker and Kubernetes
Experience with logging, monitoring, and observability tools such as Kibana / ELK stack
Experience implementing Cl/CD pipelines and modern DevOps practices
Strong understanding of data structures, system scalability, and performance tuning
Excellent communication and client-facing skills.
Demonstrated experience leading senior engineers and influencing architecture decisions.
Comfortable working across geographically distributed teams.
 
Good to have:
Experience with AI/ML
Exposure to big data technologies (Spark, Kafka).
Experience with API gateways and event-driven architecture.
Knowledge of security best practices in cloud environments.
 
Key Responsibilities
Lead end-to-end solution architecture and system design for scalable, cloud-native applications
Drive hands-on development using Python and Java for backend services and microservices
Architect and implement solutions on the AWS cloud platform
Design and build highly scalable, resilient, and secure distributed systems
Lead and mentor development teams, enforcing coding standards and best practices
Collaborate closely with clients and stakeholders for requirement analysis, technical discussions, and solution design
Design and implement containerized solutions using Docker and Kubernetes
Define and implement Cl/CD pipelines and DevOps best practices
Ensure system observability, logging, and monitoring using tools like Kibana / ELK
Drive performance optimization, reliability, and scalability initiative