Kafka Streaming Engineer Job at Bright Vision Technologies

Kafka Streams Senior Engineer/Architect

Do you want to build a high-quality data platform on top of Kafka that will inno...

Location

Salary:

Not provided

KOR Financial

Expiration Date

Until further notice

Requirements

A minimum of 8+ years of experience as a Back End Engineer
Knowledge of Kafka and Kafka Streams including state stores
Demonstrable experience running and maintaining Kafka Streams workloads in production
Good understanding of the Processor API inside Kafka Streams
Experience with Java and Spring Boot Framework
Experience with building and running applications on public cloud vendors like AWS
Experience profiling, debugging, and performance tuning complex distributed systems
A firm reliance on unit testing and mocking frameworks with a TDD (Test Driven Development) mindset
Knowledge of OOP principles and modern development practices

Job Responsibility

Designing and implementing the streaming data platform engine and SDK
Assisting in the design and implementation of our Kafka application architecture
Implementing new features for our range of web and streaming applications and data reporting capabilities
Be an active voice in the platform's build-out in regards to the technical choices and implementations
Working closely with the broader team to embrace new challenges and adapt requirements as we continue to grow and adjust priorities
Paired programming with a growing team of Back-end, Data, and Front-end Engineers

What we offer

Culture of trust, empowerment, and constructive feedback
Competitive salary, great IT equipment, and expense allowance
Flexible working times
A span of control that matches your ambitions and skills
Commitment to a genuine, balanced relationship
Help you grow professionally

Software Engineer, Streaming Systems

We are looking for a software engineer to join our Streaming Systems team, worki...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Experience with distributed systems and high-scale systems or the ability and desire to build this experience quickly
Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream
Experience with high RPS, low p99 latency systems

Job Responsibility

Building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform
Working on the high-throughput systems that collect, forward, and perform real time computation on billions of behavioral events from our customers’ users

What we offer

Equity via ISO options
Early exercise
10 year post-termination exercise window

Fulltime

Engineering Manager, Streaming

We are hiring an engineering manager in our Data Streaming domain. The domain wo...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

2+ years experience in a leadership position
5+ years of experience as a software developer
Deep understanding of data streaming (Kafka and/or Flink)
Understanding of what it takes to build high performing teams and to retain talent
A proven background in successfully-delivered software solutions, best testing practices and deployment techniques
A genuine interest in open source technologies and technical challenges
Experience working in agile and fast-growing tech start-up / scale-up
Ability to coach and to support the career development of your team members

Job Responsibility

Be accountable for the delivery of the team (quality, risk management, operational impact, architecture, security, reliability)
Maintain a healthy prioritization balance within the team backlog (like features vs tech debt)
Drive the continuous improvement of the team’s way of working and their delivery flow
Attract exceptional and diverse talent, influence the people planning and recruiting approach
Support each team member to get to their full potential: from onboarding to personal development plans
Manage expectations, individual and team performance by providing clear goals and feedback
Ensure appropriate communication and collaboration within and outside the team

What we offer

Participate in Aiven’s equity plan
Hybrid work policy
Get the equipment you need to set yourself up for success
Real employer support (use one of our learning platforms, annual learning budget, and more)
Holistic wellbeing support through our global Employee Assistance Program
Professional massage at the office
Health and fitness benefits through Urban Sport Club membership
Monthly team breakfast
Referral bonus programme

Engineering Manager, Streaming

We are hiring an engineering manager in our Data Streaming domain. The domain wo...

Location

Germany , Berlin

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

2+ years experience in a leadership position
5+ years of experience as a software developer
Deep understanding of data streaming (Kafka and/or Flink)
Understanding of what it takes to build high performing teams and to retain talent
A proven background in successfully-delivered software solutions, best testing practices and deployment techniques
A genuine interest in open source technologies and technical challenges
Experience working in agile and fast-growing tech start-up / scale-up
Ability to coach and to support the career development of your team members

Job Responsibility

Be accountable for the delivery of the team (quality, risk management, operational impact, architecture, security, reliability)
Maintain a healthy prioritization balance within the team backlog (like features vs tech debt)
Drive the continuous improvement of the team’s way of working and their delivery flow
Attract exceptional and diverse talent, influence the people planning and recruiting approach
Support each team member to get to their full potential: from onboarding to personal development plans
Manage expectations, individual and team performance by providing clear goals and feedback
Ensure appropriate communication and collaboration within and outside the team

What we offer

Participate in Aiven’s equity plan
Hybrid work policy
Equipment provided
Employer support for learning (learning platforms, annual learning budget)
Global Employee Assistance Program
Professional massage at the office
Health and fitness benefits through Urban Sport Club membership
Monthly team breakfast
Referral bonus programme

Java Streaming Engineer

At eTeki, top freelance Java Streaming Engineer professionals assess peers being...

Location

Salary:

Not provided

eTeki

Expiration Date

Until further notice

Requirements

Should have at least 8+ years of Java development experience, preferably in the Financial Services industry
Thorough knowledge of Spring frameworks
Experience with Kafka messaging platform
Experience with Big Data/streaming platforms such as Spark, Flink, Kafka Streams, and/or Kinesis
Experience using AWS Cloud (EC2, EKS, EMR, Lambda, S3, etc.)
Familiarity with containers, microservices, and APIs
Experience working with different operating systems (Unix, Windows, Linux)
Deep understanding of web services and RESTful interfaces
Experience with Git and continuous integration tools, such as Jenkins or TeamCity
Ability to design, code, test, and deploy software through the full application lifecycle, working closely with Business Analysts to ensure that APIs perform as per user specifications

Job Responsibility

Prepare an agenda according to client specifications and best practices for predictive interview results
Review the candidate’s resume in advance of the technical discussion to validate the accomplishments claimed
Follow independent contractor’s guidelines pertaining to avoiding legal landmines and maintaining candidate morale during interactive video technical interviews
Assess the candidate’s technical competencies and depth of experience through structured questions and quantify using standardized rubrics
Write reports for clients that detail the technical strengths and weaknesses of the candidates

Parttime

Senior Back End Engineer for Streaming Data Platform

Do you want to build a high-quality data platform that will innovate financial m...

Location

Salary:

Not provided

KOR Financial

Expiration Date

Until further notice

Requirements

A minimum of 8+ years of experience as a Back End Engineer
Experience with Java and Spring Boot Framework
Experience with building and running applications on public cloud vendors like AWS
Working experience Kafka, DataBricks and Streaming data solutions
Experience profiling, debugging, and performance tuning complex distributed systems
A firm reliance on unit testing and mocking frameworks with a TDD (Test Driven Development) mindset
Knowledge of OOP principles and modern development practices

Job Responsibility

Designing and implementing the streaming data platform engine and SDK
Implementing new features for our range of web and streaming applications and data reporting capabilities
Be an active voice in the platform's build-out in regards to the technical choices and implementations
Working closely with the broader team to embrace new challenges and adapt requirements as we continue to grow and adjust priorities
Paired programming with a growing team of Back-end, Data, and Front-end Engineers

What we offer

Culture of trust, empowerment, and constructive feedback
Competitive salary, great IT equipment, and expense allowance
Flexible working times
A span of control that matches your ambitions and skills
Commitment to a genuine, balanced relationship

DevOps Engineer – Kafka Service

We are looking for a highly skilled DevOps Engineer to take ownership of the Kaf...

Location

Luxembourg , Leudelange

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Kafka administration
Strong hands-on experience with Apache Kafka (setup, tuning, and troubleshooting)
Proficiency in scripting (Python, Bash) and automation tools (Terraform, Ansible)
Experience with cloud environments (AWS, Azure, or GCP) and Kubernetes-based Kafka deployments
Familiarity with Kafka Connect, KSQL, Schema Registry, Zookeeper
Knowledge of logging and monitoring tools (Dynatrace, ELK, Splunk)
Understanding of networking, security, and access control for Kafka clusters
Experience with CI/CD tools (Jenkins, GitLab, ArgoCD)
Ability to analyze logs, debug issues, and propose proactive improvements
Excellent problem-solving and communication skills

Job Responsibility

Kafka Administration & Operations: Deploy, configure, monitor, and maintain Kafka clusters in a high-availability production environment
Performance Optimization: Tune Kafka configurations, partitions, replication, and producers/consumers to ensure efficient message streaming
Infrastructure as Code (IaC): Automate Kafka infrastructure deployment and management using Terraform, Ansible, or similar tools
Monitoring & Incident Management: Implement robust monitoring solutions (e.g., Dynatrace) and troubleshoot performance bottlenecks, latency issues, and failures
Security & Compliance: Ensure secure data transmission, access control, and compliance with security best practices (SSL/TLS, RBAC, Kerberos)
CI/CD & Automation: Integrate Kafka with CI/CD pipelines and automate deployment processes to improve efficiency and reliability
Capacity Planning & Scalability: Analyze workloads and plan for horizontal scaling, resource optimization, and failover strategies

What we offer

Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Kafka Streaming Engineer

Bright Vision Technologies

Location:
United States

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
February 14, 2026

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