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Kafka Software Engineer Jobs (NOW HIRING)

RIT Solutions

Software Engineer

Atlanta, GA

Senior Software Engineer Client is seeking a Senior Software Engineer with strong backend expertise ... NET 10 and real-time data streaming using Apache Kafka. This role involves building and maintaining ...

RIT Solutions, Inc.

Software Engineer

Atlanta, GA · Remote

Software Engineer Remote assessment required Client is seeking a Senior Software Engineer with ... Apache Kafka. This role involves building and maintaining robust microservices, optimizing SQL ...

Signifyd

OR · On-site

$122K - $161K/yr

Experience managing and scaling robust data storage and streaming technologies (e.g., PostgreSQL, MySQL, Cassandra, Elasticsearch, Kafka). Software Engineering & DevEx * Coding Proficiency: Strong ...

New

PSR Associates

Software Engineer

Kankakee, IL · On-site

Software Engineer - Java / Cloud (L2) Location: Illinois (Onsite) Job Type: Contract Schedule ... Develop event-driven solutions using Kafka. * Participate in architecture, design, and code reviews.

Hirekeyz Inc

Software Engineer

Jacksonville, FL · On-site

Software Engineer Location: Jacksonville, FL / Alpharetta, GA / Berkeley Heights, NJ (Either ... RabbitMQ, Kafka and/or similar technology * 1+ years of experience with Kafka Connect * Bachelor ...

Fuse Engineering LLC

MD · On-site

Description The Software Engineer shall be responsible for developing, sustaining, and ... RabbitMQ and Kafka Experience with NoSQL databases including MongoDB Experience with ...

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All JobsKafka Software Engineer Jobs

Kafka Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do kafka software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for kafka software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

Do software engineers use Kafka?

Yes, Kafka is commonly used by software engineers, especially those working in data engineering, distributed systems, or real-time data processing roles. Proficiency with Kafka often involves understanding messaging systems, stream processing, and related tools like Apache Spark or Kafka Connect.

Is Kafka in high demand?

Kafka Software Engineers are in high demand due to the widespread adoption of Apache Kafka for real-time data streaming and processing. Companies seek professionals skilled in Kafka, distributed systems, and related tools like Kafka Connect and Kafka Streams to manage large-scale data architectures.

What engineers make $500,000?

Senior software engineers, including those working with distributed systems like Kafka, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires advanced expertise and leadership roles.

What does a Kafka engineer do?

A Kafka engineer designs, develops, and maintains systems using Apache Kafka for real-time data streaming and processing. They configure Kafka clusters, optimize performance, and ensure data reliability, often working with related tools like Kafka Connect and Kafka Streams. Strong programming skills and knowledge of distributed systems are essential for this role.

What are the key skills and qualifications needed to thrive as a Kafka Software Engineer, and why are they important?

To thrive as a Kafka Software Engineer, you need strong programming skills (often in Java, Scala, or Python), a solid understanding of distributed systems, and experience with Apache Kafka architecture and stream processing. Familiarity with tools like Kafka Connect, Kafka Streams, Zookeeper, and containerization platforms, along with certifications such as Confluent Certified Developer for Apache Kafka, are highly valued. Excellent problem-solving, communication, and teamwork skills help you design scalable solutions and collaborate across engineering teams. These technical and interpersonal skills are critical to building reliable, high-throughput data pipelines and ensuring seamless real-time data flow in modern applications.

What are some common challenges Kafka Software Engineers face when building scalable streaming applications?

Kafka Software Engineers often encounter challenges related to ensuring high throughput, low latency, and fault tolerance when designing streaming data pipelines. Managing message ordering, handling data schema evolution, and optimizing partitioning strategies are critical for maintaining data consistency and performance. Additionally, engineers must monitor cluster health, address issues like consumer lag, and coordinate with DevOps and data engineering teams to ensure seamless integration with other systems.

What are Kafka Software Engineers?

Kafka Software Engineers are specialized software developers who design, build, and maintain systems that use Apache Kafka, a distributed event streaming platform. They create and manage data pipelines, ensure reliable message delivery, and optimize the performance of applications using Kafka. These engineers often work closely with data engineers, architects, and other developers to enable real-time data processing, analytics, and integration across various systems. Their role is crucial in organizations that rely on high-throughput, fault-tolerant data streams.
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Kafka Software Engineer jobs near you
Infographic showing various Kafka Software Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer - Video Technology

Software Engineer - Video Technology

cosm

Pittsburgh, PA • On-site

Other

Posted 23 days ago

Job description

Summary:

The Video Software Engineer is responsible for developing, optimizing, and maintaining C360’s real-time video pipeline, which powers mission-critical services for our broadcast, league, and streaming partners. This role contributes to the full lifecycle of a cutting-edge video platform, from architecture and development through deployment and operational support, while working across the video processing stack, including real-time image processing, accelerated decoding and encoding, and video transport technologies. The ideal candidate is a solutions-oriented engineer who thrives in fast-paced environments while maintaining a high standard of engineering excellence. They bring experience across the software development lifecycle, understand how to select the right technologies for the problem at hand, and ideally have familiarity with the sports, broadcast, streaming media, and cloud software industries. Success in this role requires strong collaboration skills, adaptability, and the ability to work effectively within an agile, cross-functional engineering team.

Responsibilities:

  • Collaborate within an agile team to build and deploy distributed, robust, low-latency video pipelines for both on-premises and cloud deployment.
  • Participate in architectural, design, and product sessions
  • Stay on top of industry trends and emerging technologies
  • Exemplify excellent written and verbal communication skills and the ability to tailor
    technical communications to any audience deftly
  • Push the limits, try new technologies, take calculated risks, swing for the fences, and proactively search for the best solutions and ideas in the marketplace
  • Occasionally offer on-call support to field teams (evenings and weekends)
  • Accurately document work, both in code and schematic form

Experience:

  • BS degree or higher in Computer Science, Electrical / Computer Engineering, Software Engineering or the equivalent.
  • Experience with both Windows 10/11 64-bit and Linux development environments
  • Significant experience in C++ and Rust
  • Knowledge of AWS cloud services/tooling and technology (S3, EC2, etc.)
  • Knowledge of multimedia frameworks, such as GStreamer
  • Knowledge of video codecs, with a main focus on HEVC, as well as an understanding of streaming technologies and transports (e.g., MPEG-TS, SRT, HLS, webRTC)
  • Expertise in mission-critical, high-availability hardware/software
  • Knowledge of NVIDIA GPU ecosystem, including CUDA and the NVIDIA Video Codec SDK
  • Knowledge of SMPTE broadcast standards and technologies
  • Video/Image processing knowledge, demosaicing, denoising, color space conversion, image enhancement
  • Experience working with agile methodologies
  • Knowledge of best practices for code management, version control, and deployment
  • You possess the ability to work autonomously, but also as part of a team.
  • You can quickly shift work priorities to accommodate client needs.

Bonus Experience:

  • Experience with Python or C#
  • Experience with MongoDB
  • Experience designing, deploying, and maintaining cloud-based workflows
  • Knowledge of AI/ML methods for video enhancement
  • Knowledge of machine vision standards and transports
  • Familiarity with ZMQ or other message bus (e.g., Kafka) software
  • General knowledge of camera technology
  • Knowledge of broadcast tools such as vector scopes, RCP/CCU
  • Experience with OEM SDI output cards and APIs from AJA, Blackmagic Design, etc.

Apply