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Redpanda Jobs (NOW HIRING)

Data Engineer

$124K - $166K/yr

Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations

... Redpanda/Kafka) where appropriate. • Use workflow engines such as Temporal and Cadence to orchestrate complex, long‑running workflows with robust retry, compensation, and observability, and ...

... RedPanda, or other streaming platforms Company : Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a ...

Experience with Kafka, RedPanda, or other streaming platforms is a plus DevOps * CI/CD (GitHub Actions, GitLab Pipelines, etc.) * Docker * Docker Compose (Kubernetes is a plus) * Infrastructure as ...

AWS Databricks Data Engineer

Quincy, MA · On-site

$120K - $144K/yr

Proficiency in big data technologies such as Presto/Trino, Spark/Flink, Airflow/Prefect, RedPanda/Kafka, Iceberg/Delta Lake, Snowflake/Databricks, MemGraph/Neo4J. * Familiarity with modern security ...

Event-driven architecture experience: messaging systems like Redpanda or Kafka, real-time data pipelines, and gRPC service communication * Hands-on observability and monitoring experience with ...

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Redpanda information

What are typical daily responsibilities for an engineer working with Redpanda?

Engineers working with Redpanda are often responsible for designing, deploying, and maintaining high-throughput data streaming solutions. On a daily basis, you may be writing or reviewing code, optimizing data pipelines, monitoring system performance, and troubleshooting issues as they arise. Collaboration with software developers, DevOps, and data engineering teams is common to ensure seamless data flow and integration with other components of the technology stack. You may also participate in architectural discussions, capacity planning, and help drive best practices for reliability and scalability.

What is a Redpanda job?

A Redpanda job typically refers to a role involving Redpanda, a modern, high-performance streaming data platform designed as an alternative to Apache Kafka. Jobs in this field often include positions like software engineers, DevOps engineers, or data engineers who work with Redpanda to manage real-time data processing. These roles involve tasks such as optimizing data streaming performance, ensuring system reliability, and integrating Redpanda into broader data architectures. Experience with distributed systems, event-driven architectures, and cloud technologies is often required.

How can I make 2000 a week working from home?

Redpanda is a data streaming platform, not a job role, so earning $2000 weekly from home depends on roles such as software development, data engineering, or technical support that utilize skills in cloud computing, programming, and remote collaboration tools. High-paying remote jobs often require relevant experience, certifications, and a strong work portfolio.

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

To thrive as a Redpanda (commonly referring to an engineer specializing in Redpanda, the streaming data platform), you need a solid background in distributed systems, real-time data streaming, and proficiency with languages such as Go, Java, or C++. Experience with cloud platforms, CI/CD pipelines, containerization (such as Docker and Kubernetes), and relevant certifications in cloud or data engineering are highly beneficial. Strong problem-solving abilities, excellent communication, and a collaborative mindset will help you succeed within cross-functional teams. These skills and qualities are crucial for building, maintaining, and optimizing robust, low-latency data pipelines in dynamic technical environments.

More about Redpanda jobs
What are the most commonly searched types of Redpanda jobs? The most popular types of Redpanda jobs are:
Infographic showing various Redpanda job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.
Principal Platform Engineer - Connected Aviation (Remote)

Principal Platform Engineer - Connected Aviation (Remote)

Raytheon Technologies

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Date Posted:

2026-05-07

Country:

United States of America

Location:

US-AZ-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Must be authorized to work in the U.S. without the company's immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Aviation connects the world and Connected Aviation (CA) connects Aviation. Sustainably. Seamlessly. Securely. Connected Aviation (CA) is a business unit within Collins Aerospace's Avionics portfolio which aims to bring many connectivity and digital solutions to life and fulfill Connected Ecosystem, one of the strategic pillars of our company.

The Aviation Intelligence (AI) team within CA Engineering has the end-to-end responsibility to ensure that Collins Aerospace and broader RTX data assets are managed with integrity and quality while being consumed by our critical customer facing applications - whether via API's, analytics and/or data visualizations, or data reporting. We would like to offer you an opportunity to be a Senior Platform Engineer within our team where you will play an integral role in a high growth and high visibility area of the Collins Aerospace company.

As a Principal Platform Engineer on the Aviation Intelligence team, you will be responsible for leading critical projects and coordination for the department, supporting our Ascentia and FlightAware crews that focus on AI/ML projects, data science and data management.

What You Will Do:

  • Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads (Iceberg/Trino, ETL pipelines, Kubeflow/MLflow)

  • Design, deploy, and maintain EKS-based services and Kubernetes workloads

  • Build and manage Terraform infrastructure across environments (dev/staging/prod)

  • Design and maintain CI/CD pipelines for infrastructure and application deployment (GitLab/GitHub)

  • Operate and improve Kafka/Redpanda clusters

  • Improve reliability, observability, and performance of prediction services

  • Support Dagster for data workflow orchestration

  • Collaborate with Data Science, ML Engineering, and Data Engineering to productionize models and data pipelines

  • Strengthen AWS IAM, networking, and connectivity between cloud and on-prem systems

  • Support cyber hardening efforts with our RTX cyber team

  • Identify and incrementally improve existing infrastructure and deployment patterns

Qualifications You Must Have:

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience

  • Proficiency with Python.

  • Strong experience with AWS (EKS, IAM, VPCs, networking)

  • Hands-on Kubernetes experience operating production workloads

  • Experience managing Kafka (or Redpanda) in production environments

  • Proficiency with Terraform for infrastructure as code

  • Experience building and maintaining CI/CD pipelines (GitLab, GitHub Actions, or similar)

  • Solid understanding of distributed systems, reliability, and scaling

  • Experience supporting production data pipelines or ML systems

  • Experience with observability stacks (Prometheus, Grafana, Thanos, etc.)

Qualifications We Prefer:

  • Experience with Kafka Connect

  • Experience with Rust or a willingness to learn it.

  • Familiarity with Dagster, Airflow or other modern ETL orchestration tools

  • Background supporting ML/AI systems in production (MLOps)

  • Experience optimizing infrastructure for performance and cost

  • Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems

  • Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes)

What We Offer:

Some of our competitive benefits package includes:

  • Medical, dental, and vision insurance

  • Three weeks of vacation for newly hired employees

  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option

  • Tuition reimbursement program

  • Student Loan Repayment Program

  • Life insurance and disability coverage

  • Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance,critical illnessinsurance, group legal, ID theft protection

  • Birth, adoption, parental leave benefits

  • Ovia Health, fertility, and family planning

  • Adoption Assistance

  • Autism Benefit

  • Employee Assistance Plan, including up to 10 free counseling sessions

  • Healthy You Incentives, wellness rewards program

  • Doctor on Demand, virtual doctor visits

  • Bright Horizons, child and elder care services

  • Teladoc Medical Experts, second opinion program

  • And more!

Learn More & Apply Now!

Avionics:

Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today.

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role.

  • Remote: Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that's redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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