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Intern Distributed Systems Engineer Jobs in Pennsylvania

$60.25 - $80.75/hr

Distributed messaging systems (e.g., Kafka, Pulsar) * Scalable data stores (e.g., Cassandra ... Partner with engineering, product, security, and data teams to align architecture with ...

Role Overview VDURA is seeking a Senior System Engineer to lead the specification, selection, and ... Experience with parallel file systems, distributed storage, or scale-out data platforms

Role Overview VDURA is seeking a Senior System Engineer to lead the specification, selection, and ... Experience with parallel file systems, distributed storage, or scale-out data platforms

Senior Power Systems Engineer

Lawrence, PA · On-site

$103K - $141K/yr

The Senior Power Systems Engineer performs system studies on electrical distribution, generation, and transmission systems. The Senior Power Systems Engineer reports to the Engineering Manager and ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Distributed Training : Optimize distributed training pipelines using frameworks such as PyTorch ...

Machine Learning Systems Engineer

Pittsburgh, PA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Distributed Training : Optimize distributed training pipelines using frameworks such as PyTorch ...

Senior Software Engineer

Calumet, PA · On-site

$240K - $280K/yr

Build and maintain large-scale distributed systems * Work on infrastructure that supports mission-critical applications * Collaborate with a highly technical engineering team in a high-ownership ...

... science/engineering are encouraged to apply. Experience with the following is preferred ... System administration and troubleshooting * Scripting (bash, python, etc) * Compliance or auditing

The Show Systems Engineer III is a specialist within the Control Engineering department, focused on ... Experience with large, distributed control systems * Expected Travel: 20-30%. Must be able to ...

The Show Systems Engineer III is a specialist within the Control Engineering department, focused on ... Experience with large, distributed control systems * Expected Travel: 20-30%. Must be able to ...

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Intern Distributed Systems Engineer information

What are the key skills and qualifications needed to thrive as an Intern Distributed Systems Engineer, and why are they important?

To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.

What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?

AspectIntern Distributed Systems EngineerIntern Software Engineer
Required CredentialsTypically pursuing a degree in Computer Science or related field, familiarity with distributed systems conceptsSimilar educational background, focus on general software development skills
Work EnvironmentFocus on designing, implementing, and testing distributed systems and networked applicationsDeveloping various software applications, often in different domains
Employer & Industry UsageUsed in tech companies working on cloud, big data, or scalable systemsCommon across many industries including tech, finance, and startups
Search & Comparison IntentPeople comparing internship roles in distributed systems and software development

Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.

What types of projects and tasks can an Intern Distributed Systems Engineer expect to work on, and how does this support their learning and growth?

As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.

What does an Intern Distributed Systems Engineer do?

An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.
What are the most commonly searched types of Distributed Systems Engineer jobs in Pennsylvania? The most popular types of Distributed Systems Engineer jobs in Pennsylvania are:
What are popular job titles related to Intern Distributed Systems Engineer jobs in Pennsylvania? For Intern Distributed Systems Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Intern Distributed Systems Engineer jobs in Pennsylvania look for? The top searched job categories for Intern Distributed Systems Engineer jobs in Pennsylvania are:
Sr. Data Architect, Large Scale Distributed Systems

Sr. Data Architect, Large Scale Distributed Systems

Proofpoint

$60.25 - $80.75/hr

Full-time

Re-posted 7 days ago


Job description

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Role Overview

We are seeking an experienced Senior Architect to lead the design and evolution of enterprise-scale distributed systems supporting 50M+ connected sensors and high-volume event processing pipelines.

This role is critical to building and operating mission-critical backend platforms that process millions of events per second across both synchronous and asynchronous architectures, with stringent requirements for scalability, reliability, security, and performance.

The ideal candidate brings a proven track record of architecting and scaling production-grade systems at extreme scale, along with the ability to drive technical strategy, governance, and cross-functional alignment in a complex enterprise environment.

Key Responsibilities

Architecture & System Design

  • Define and lead the architecture of large-scale distributed systems capable of ingesting and processing high-velocity data streams from 50M+ sensors
  • Design resilient systems across synchronous (API-driven) and asynchronous (event-driven, streaming) paradigms
  • Establish architectural standards for scalability, fault tolerance, and performance optimization

Data Platform Engineering

  • Architect real-time and batch data pipelines for high-throughput ingestion, transformation, and storage
  • Drive design decisions across streaming, processing, and storage layers to ensure optimal performance and cost efficiency
  • Enable support for time-series, event-driven, and analytical workloads

Technology Strategy & Governance

  • Define and enforce enterprise architecture principles, standards, and best practices
  • Evaluate and guide adoption of modern data technologies, including:
    • Distributed messaging systems (e.g., Kafka, Pulsar)
    • Scalable data stores (e.g., Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch)
    • Stream and batch processing frameworks (e.g., Flink, Spark, Beam)
  • Ensure alignment with security, compliance, and data governance requirements

Scalability, Reliability & Observability

  • Establish and operationalize SLAs, SLOs, and error budgets
  • Design for high availability, multi-region resilience, and disaster recovery
  • Implement enterprise-grade observability frameworks (monitoring, logging, tracing)

Leadership & Collaboration

  • Partner with engineering, product, security, and data teams to align architecture with organizational objectives
  • Provide technical leadership, mentorship, and architectural oversight across multiple teams
  • Lead design reviews and ensure adherence to architectural standards

Required Qualifications

Experience

  • 10+ years of experience in distributed systems and backend architecture
  • Demonstrated success in scaling systems to:
    • 50M+ connected devices/sensors, or
    • Comparable high-scale environments (e.g., IoT, telecom, fintech, ad-tech, infrastructure platforms)
  • Proven experience with high-throughput event-driven architectures in production environments

Technical Expertise

  • Deep understanding of distributed systems concepts, including:
    • CAP theorem, consistency models, and trade-offs
    • Partitioning, replication, and sharding strategies
    • Event delivery semantics (at-least-once, exactly-once, idempotency)
  • Strong experience with:
    • Streaming and messaging systems (Kafka, Pulsar, or equivalent)
    • Real-time and batch processing frameworks
    • Scalable NoSQL and analytical data stores

System Design & Engineering

  • Expertise in designing:
    • Low-latency, high-throughput APIs
    • Event-driven and asynchronous processing systems
    • Multi-region, highly available architectures
  • Strong programming proficiency in one or more of: Go, Java, Scala, or Rust

Preferred Qualifications

  • Experience with large-scale IoT or telemetry platforms
  • Familiarity with edge-to-cloud architectures
  • Experience operating in multi-cloud or hybrid environments
  • Knowledge of enterprise security frameworks, data governance, and compliance (e.g., SOC2, ISO, GDPR)
  • Exposure to AI/ML data pipelines and large-scale analytics platforms

Success Metrics

  • Architecture supports billions of daily events with consistent performance and reliability
  • Systems demonstrate horizontal scalability and fault isolation
  • Clear separation and optimization of real-time vs batch workloads
  • Strong adherence to enterprise architecture and governance standards

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:

  • Competitive compensation

  • Comprehensive benefits

  • Career success on your terms

  • Flexible work environment

  • Annual wellness and community outreach days

  • Always on recognition for your contributions

  • Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.

How to Apply

Interested? Submit your application along with any supporting information- we can't wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges:

SF Bay Area, New York City Metro Area:

Base Pay Range: 254,000.00 - 349,250.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:

Base Pay Range: 208,800.00 - 287,100.00 USD

All other cities and states excluding those listed above:

Base Pay Range: 187,000.00 - 257,180.00 USD