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Work From Home Java Developer Jobs in New Kensington, PA

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Work From Home Java Developer information

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$13

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$68

How much do work from home java developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for work from home java developer in New Kensington, PA is $50.48, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $56.49 per hour, depending on experience, location, and employer.

What is a work from home Java developer?

A Work From Home Java Developer is a software developer who specializes in Java programming and performs their job remotely. They design, develop, test, and maintain Java-based applications while collaborating with teams through online communication tools. These roles require strong coding skills, knowledge of Java frameworks, and the ability to work independently. Many companies offer remote Java developer positions, allowing professionals to work from anywhere with a stable internet connection.

What does a typical workday look like for a work from home Java developer?

As a Work From Home Java Developer, your workday usually involves joining virtual stand-up meetings, collaborating with team members via messaging or video calls, and focusing on tasks such as developing new features, fixing bugs, or performing code reviews. You’ll often work with project management tools like Jira or Trello to track your assignments and deadlines. While much of your time is spent coding independently, successful remote Java developers also proactively communicate progress and challenges to the team. This balance of autonomy and structured collaboration ensures smooth project delivery and continuous professional growth.

What are the key skills and qualifications needed to thrive as a work from home Java developer?

To thrive as a Work From Home Java Developer, you need strong proficiency in Java programming, object-oriented design, and experience with frameworks such as Spring or Hibernate, typically supported by a computer science degree or equivalent experience. Familiarity with version control systems like Git, build tools such as Maven or Gradle, and cloud platforms is often important, and certifications like Oracle Certified Professional Java Programmer can be beneficial. Excellent communication skills, self-motivation, and effective time management are critical soft skills for remote collaboration and productivity. These qualities ensure you can deliver high-quality code, collaborate efficiently with distributed teams, and adapt to evolving project requirements in a remote environment.

Are work from home Java developers still in demand?

Work from home Java developers remain in demand due to the ongoing need for software development, cloud computing, and enterprise applications. Skills in frameworks like Spring and experience with remote collaboration tools enhance job prospects in this field.

What are popular job titles related to Work From Home Java Developer jobs in New Kensington, PA?

For Work From Home Java Developer jobs in New Kensington, PA, the most frequently searched job titles are:

What cities near New Kensington, PA are hiring for Work From Home Java Developer jobs?

Cities near New Kensington, PA with the most Work From Home Java Developer job openings:

Infographic showing various Work From Home Java Developer job openings in New Kensington, PA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $104,988 per year, or $50.5 per hour.

Senior / Staff Software Engineer (Observability / SRE)

Waabi

Pittsburgh, PA • On-site, Remote

$148K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 28 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.
- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.
- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).
- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.
- Work with client teams to support their applications’ observability requirements.
- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.
- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.
 
Qualifications:
- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.
- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.
- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).
- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.
- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.
 
Bonus:
- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).
- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.
- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).
- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).
The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.