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Mean Stack Developer Jobs in Pennsylvania (NOW HIRING)

Ignyte Insurance

Head of Security

Conshohocken, PA · On-site

... stack, lead the GRC and regulatory agenda, drive cyber due diligence and post-close security ... KEY RESPONSIBILITIESSecurity Engineering & Operations * Own day-to-day security operations ...

AKUVO LLC

VP, IT & Infrastructure

Malvern, PA · On-site

$154K - $192K/yr

The cloud architecture decisions that shape what the product engineering and data teams can build ... doesn't mean fighting the tools. * Lead the Power Platform and internal automation function ...

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$24

$59

$86

How much do mean stack developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for mean stack developer in Pennsylvania is $59.40, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.41 per hour, depending on experience, location, and employer.

What is a Mean Stack Developer job?

A MEAN Stack Developer is a full-stack developer skilled in MongoDB, Express.js, Angular, and Node.js. They handle both front-end and back-end development, designing dynamic web applications. Their responsibilities include building APIs, managing databases, and ensuring seamless integration between server and client-side components. Proficiency in JavaScript and asynchronous programming is essential. MEAN Stack Developers work on scalable applications, optimizing performance and security.

What are the key skills and qualifications needed to thrive in the Mean Stack Developer position, and why are they important?

To thrive as a Mean Stack Developer, you need expertise in MongoDB, Express.js, Angular, and Node.js, along with strong JavaScript programming skills and a relevant degree or certification in computer science or a related field. Familiarity with version control systems like Git, RESTful API development, and deployment tools such as Docker or AWS is commonly required. Strong problem-solving abilities, effective communication, and the ability to work well in collaborative, agile environments are highly valued soft skills. These competencies are crucial for delivering robust full-stack solutions and adapting to the rapidly evolving web development landscape.

Will Fullstack be replaced by AI?

Fullstack developers, including those working with the MEAN stack, perform a range of tasks that involve problem-solving, coding, and system design, which AI tools currently cannot fully replicate. While AI can assist with coding and automation, human expertise remains essential for complex development, architecture, and troubleshooting. Staying updated with new tools and continuously improving skills is important for fullstack developers to remain competitive.

What jobs in the US pay 300,000 a year?

A Mean Stack Developer can earn $300,000 or more annually with extensive experience, advanced skills in JavaScript, Node.js, Angular, and MongoDB, and often in senior or lead roles. High-paying positions are typically found in large tech companies, financial services, or specialized consulting firms, sometimes requiring certifications or a strong portfolio. Compensation varies based on location, company size, and individual expertise.

Is MEAN stack in demand?

The MEAN stack, which includes MongoDB, Express.js, Angular, and Node.js, is in high demand for web development roles due to its efficiency in building scalable, full-stack applications. Employers seek developers skilled in JavaScript and related technologies, making MEAN stack expertise valuable in the current job market.

Which is better MERN or MEAN?

For a Mean Stack Developer, choosing between MERN and MEAN depends on project requirements; MERN uses React.js while MEAN uses Angular, and both are popular JavaScript frameworks for full-stack development. The decision often hinges on team expertise and specific client needs, with both stacks offering robust, scalable solutions for web applications.

What are some common challenges faced by Mean Stack Developers in their day-to-day work?

Mean Stack Developers often navigate the complexities of integrating front-end and back-end technologies to ensure seamless data flow and user experiences. They may encounter challenges like debugging asynchronous code, managing different library versions, or optimizing application performance for scalability. Collaboration is frequently required with UI/UX designers, QA testers, and other developers to deliver robust solutions. Staying updated with the fast-paced changes in JavaScript frameworks and best practices also demands continuous learning and adaptation.

What are popular job titles related to Mean Stack Developer jobs in Pennsylvania? For Mean Stack Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Mean Stack Developer jobs in Pennsylvania look for? The top searched job categories for Mean Stack Developer jobs in Pennsylvania are:
Mean Stack Developer jobs near you
Infographic showing various Mean Stack Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 77% Full Time, 10% Part Time, 2% Temporary, 10% Contract, and 1% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $123,558 per year, or $59.4 per hour.
Graffana ELK Software Development Lead

Graffana ELK Software Development Lead

System One

Pittsburgh, PA • On-site

Other

Posted 15 days ago

Job description

Job Title: Graffana ELK Software Development Lead

Duration : Full Time Location : Pittsburgh, PA

Work Mode : 5 Days Onsite

Years Of Exp : 8+ Yrs Job Description: Looking for Graffana ELK Software Development Lead to join our Applications Development and Maintenance team, supporting our client which is a large US Bank, working in an advanced technology environment. Duties and Responsibilities:

  • As a Graffana ELK Software development Lead, you will be responsible for leading the
  • design, development, and implementation of enterprise observability and monitoring solutions using Grafana, Elasticsearch, Logstash, Kibana (ELK)
  • Architect scalable logging, monitoring, alerting, and visualization frameworks to provide end-to-end visibility into application, infrastructure, and business-critical systems.
  • Drive the development and optimization of centralized log management platforms using Elasticsearch and Logstash, ensuring high availability, detecting anomalies and data retention compliance.
  • Design and develop interactive Grafana dashboards, reports, and real-time monitoring
  • solutions to support operational intelligence, performance analysis, and executive reporting.
  • Develop and maintain automated alerting strategies using Grafana, Elasticsearch, Prometheus, and integrated monitoring tools to improve system reliability and reduce mean time to resolution
  • Monitor, troubleshoot, and tune Kafka streaming jobs to improve performance, scalability, and operational reliability.
  • Collaborate with architects, data engineers, DevOps teams, and business stakeholders to design and implement modern streaming and event-driven data platforms.
  • Analyzing user requirements, and defines technical project scope and assumptions for assigned tasks.
  • Creating technical designs for new systems, and/or modifications to existing systems.
  • Translating detailed requirements into functional system designs.
  • Prioritizing work, meeting deadline and also establishing and maintaining effective working relationships with clients, project team members, supervisors, and employees from other departments.
  • Partner with business leaders, enterprise architects, and product owners to identify new graph-based use cases, evaluate emerging technologies, and align Neo4j initiatives with digital transformation goals.
Requirements:
  • At least 8+ years of experience in software development, observability engineering, monitoring platforms, or enterprise logging solutions, with demonstrated leadership experience.
  • Strong hands-on experience with Grafana, Elasticsearch, Logstash, Kibana (ELK Stack), and related observability and monitoring technologies.
  • Experience developing custom Grafana dashboards, visualizations, alerts, and reporting solutions for application, infrastructure, and business monitoring.
  • Extensive experience designing and implementing centralized logging, monitoring, alerting, and dashboarding solutions in large-scale enterprise environments.
  • Strong knowledge of Elasticsearch, indexing strategies, shard management, performance tuning, and capacity planning.
  • Good to have Kafka streaming knowledge along with relational databases
  • Strong analytical, troubleshooting, and performance tuning skills in distributed streaming environments.
  • Excellent communication, collaboration, and stakeholder management skills, with the ability to work effectively in Agile/Scrum teams.
  • Experience working in Agile development environments with strong collaboration, technical leadership, problem-solving, and stakeholder communication skills.
Required Skills
  • Agile
  • Apache Kafka
  • Data Modeling
  • Elastic Stack & Elasticsearch
  • Structured Query Language (SQL)
Ref: #404-IT Pittsburgh