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Apache Kafka

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🔥 Engineering Manager, Data and ML - (Remote - Canada)

Posted about 10 hours ago

📍 Canada

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

4+ years of experience as a professional developer
2+ years of experience as an engineering team manager.
Strong expertise in Python and programming fundamentals.
Experience working with data solutions incorporating both online and batch ML inference.
Expertise in data engineering and machine learning design patterns and best practices.
Experience deploying machine learning models into distributed, data-intensive production systems.
Strong communication and collaboration skills to work effectively across teams.
Experience working in a Cloud-native environment (Azure, GCP, or AWS).

💡 Responsibilities

Lead and manage a team of engineers in the design, development, and deployment of data and machine learning solutions.
Oversee the full software development lifecycle, including discovery, design, implementation, and deployment of cutting-edge systems.
Foster a high-performance culture within the team, providing mentorship and guidance to ensure continuous skill development.
Ensure the successful delivery of business objectives, with an emphasis on delivering solutions that meet the needs of scientific researchers.
Collaborate cross-functionally with teams to ensure smooth integration of data solutions and machine learning models.
Navigate ambiguity and adapt to change, taking both hands-on and strategic leadership roles as needed.

AWS Backend Development Docker Leadership Python SQL Apache Airflow Cloud Computing Machine Learning Algorithms Apache Kafka Data engineering Data science REST API Communication Skills Collaboration CI/CD Agile methodologies Mentoring Team management Data modeling Data analytics

Posted about 10 hours ago

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🔥 Data Backend Engineer - Product Monetization (Remote - United Kingdom)

Posted about 15 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Experience writing code in a modern object-oriented programming language (e.g., Python, Java, or C++).
Strong problem-solving and critical-thinking skills.
Comfortable in navigating and understanding complex codebases and distributed systems.
Ability to communicate effectively to technical and non-technical cohorts alike.
Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions.
Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena / Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have.

💡 Responsibilities

Contribute to the experimentation and development of new ad products at Yelp.
Design, build, and maintain efficient data pipelines using large-scale processing tools like Apache Spark to transform ad-related data.
Manage high-volume, real-time data streams using Apache Kafka and process them with frameworks like Apache Flink.
Estimate timelines for projects, feature enhancements, and bug fixes.
Work with large-scale data storage solutions, including Apache Cassandra and various data lake systems.
Collaborate with cross-functional teams, including engineers, product managers and data scientists, to understand business requirements and translate them into effective system designs.
Support on-call rotations as needed to operate the team.

AWS Backend Development Python SQL Apache Kafka Cassandra Data engineering Nosql RESTful APIs

Posted about 15 hours ago

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🔥 Staff Engineer – PaaS Kafka and Messaging (Remote)

Posted 1 day ago

📍 United States of America

💸 115000.0 - 260000.0 USD per year

🔍 Software Development

🏢 Company: external

🔧 Requirements

Deep hands-on experience in complex system design, data pipeline and architectures, scalable distributed systems.
Fluent in at least one OOP languages such as Java, Go, Python, C++, etc.
Understand atleast one open-source messaging and event streaming products like Kafka, Pulsar, RabbitMQ etc.
Experience with continuous delivery and infrastructure as code
In-depth knowledge of CS data structures and algorithms
Experience solving analytical problems with quantitative approaches
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication)
Experience on open-source messaging and event streaming platforms with emphasis on building enterprise scale platforms
Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube
and knowledge in Terraform/Ansible will be a plus
Knowledge on Open-source monitoring software like Grafana and Prometheus will be a plus
Familiarity with other messaging and event solutions like Azure Service Bus and Azure Event Hub will be a plus

💡 Responsibilities

Focus on multiple areas and provide technical and thought leadership to the enterprise
Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the Platform Engineering domain
Accountable for the quality, usability, and performance of the solutions
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives
Consistently share best practices and improve processes within and across teams
Analyze cost and forecast, incorporating them into business plans
Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, demonstrate adaptability and sponsor continuous learning
Take on-call and operation support

AWS Backend Development Python Cloud Computing GCP Git Java Jenkins Kubernetes Rabbitmq Software Architecture C++Algorithms Apache Kafka Azure Data Structures Go Grafana Prometheus REST API CI/CD Linux DevOps Terraform Microservices Ansible Software Engineering

Posted 1 day ago

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🔥 Senior Backend Engineer (m/f/d) – Finance Royalty Processing – Germany or UK – Remote or Hybrid

Posted 1 day ago

📍 UK, Germany

🔍 Finance Royalty Processing

🏢 Company: ICE👥 11-50 Real Estate Building Material

🔧 Requirements

5 years of back-end development experience.
2 years of experience with Scala (preferably with http4s, doobie, cats, cats-effect).
Experience working with relational and non-relational databases.

💡 Responsibilities

Design and implement scalable, resilient, service oriented architectures.

AWS Backend Development Software Development Agile Apache Kafka Data Structures CI/CD RESTful APIs DevOps Microservices Scala

Posted 1 day ago

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🔥 Software Engineer II (Backend) – Authoring Platform

Posted 1 day ago

📍 Any country where we have a legal entity

💸 110000.0 - 145750.0 USD per year

🔍 Online Learning

🏢 Company: Coursera Sourcing

🔧 Requirements

3+ years of backend software engineering experience.
Experience with Java or similar object-oriented programming languages.
Hands-on experience designing scalable microservices and REST/gRPC APIs.
Experience with databases such as MySQL or DynamoDB.
Experience working with event-driven architectures using Kafka or similar systems.
Experience with Generative AI applications including prompt engineering and using APIs such as OpenAI, Claude, or Gemini.
Familiarity with emerging GenAI features like function calling, chain of thought reasoning, and agentic workflows.

💡 Responsibilities

Design and build scalable backend services supporting Course Builder and other authoring tools.
Integrate AI-assisted workflows, content ingestion, and assessment generation capabilities.
Collaborate cross-functionally to deliver features from design to production.
Implement robust monitoring, alerting, and production readiness standards.
Contribute to design discussions, code reviews, and technical decision-making.
Stay current on Generative AI trends to influence new features and system evolution.

AWS Backend Development Design Patterns DynamoDB Java MySQL Software Architecture Apache Kafka API testing gRPC REST API Microservices Software Engineering

Posted 1 day ago

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🔥 Senior Data Engineer | Data Delivery

Posted 2 days ago

📍 Germany, Italy, Netherlands, Portugal, Romania, Spain, UK

🧭 Full-Time

🔍 Wellness

🔧 Requirements

You have a proven track record of designing and building robust, scalable, and maintainable data models and corresponding pipelines from business requirements.
You are skilled at engaging with engineering and product teams to elicit requirements.
You are comfortable with big data concepts, ensuring data is efficiently ingested, processed, and made available for data scientists, business analysts, and product teams.
You are experienced in maintaining data consistency across the entire data ecosystem.
You have experience maintaining and debugging data pipelines in production environments with high criticality, ensuring reliability and performance.

💡 Responsibilities

Develop and maintain efficient and scalable data models and structures to support analytical workloads.
Design, develop, and maintain data pipelines that transform and process large volumes of data while embedding business context and semantics.
Implement automated data quality checks to ensure consistency, accuracy, and reliability of data.
Ensure correct adoption and usage of Wellhub’s data by data practitioners across the company
Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

SQL Apache Airflow Kubernetes Apache Kafka Data engineering Spark Data modeling

Posted 2 days ago

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🔥 Senior Data Engineer | Data Delivery

Posted 2 days ago

📍 Portugal

🧭 Full-Time

🏢 Company: Wellhub

🔧 Requirements

Proven track record of designing and building robust, scalable, and maintainable data models and corresponding pipelines from business requirements.
Skilled at engaging with engineering and product teams to elicit requirements.
Comfortable with big data concepts, ensuring data is efficiently ingested, processed, and made available for data scientists, business analysts, and product teams.
Experienced in maintaining data consistency across the entire data ecosystem.
Experience maintaining and debugging data pipelines in production environments with high criticality, ensuring reliability and performance.
Motivated to contribute to a data-driven culture and take pride in seeing the impact of your work across the company

💡 Responsibilities

Develop and maintain efficient and scalable data models and structures to support analytical workloads.
Design, develop, and maintain data pipelines that transform and process large volumes of data while embedding business context and semantics.
Implement automated data quality checks to ensure consistency, accuracy, and reliability of data.
Ensure correct adoption and usage of Wellhub’s data by data practitioners across the company
Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

SQL Apache Airflow ETL Kubernetes Apache Kafka Data engineering Spark Data visualization Data modeling Data analytics Data management

Posted 2 days ago

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🔥 Manager (MarTech)

Posted 2 days ago

📍 United States

💸 115000.0 - 230000.0 USD per year

🏢 Company: external

🔧 Requirements

Fluency and specialization with Java, Python and SQL
Experience with AI and ML technologies including MLflow, PyTorch and VectorDBs, Scikit-learn and Langchain
Experience with data processing, ETL, DataRobot and Snowflake
Experience building products of micro-services-oriented architecture and extensible REST APIs
Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, security, and scaling)
Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework
Experience with application monitoring tools and performance assessments
In-depth knowledge of CS data structures and algorithms
Experience with solving analytical problems with quantitative approaches
Ability to excel in a fast-paced, startup-like environment
Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
Experience partnering with engineering teams and transferring research to production

💡 Responsibilities

Work with your Director to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time
Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives
Understand how requirements and design choices may impact systems across multiple areas
Report on your team’s progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery
Initiate and support performance evaluation of team members
Cultivate a culture that motivates all levels of performers to higher levels of achievement
Build and maintain relationships with your team members to support an environment of trust
Influence those you motivate and coach to be receptive to feedback by cultivating a culture that acknowledges and expects individuals to grow and be accountable as a result of the experience gained (growth mindset)
Identify where technical or analytical skill gaps put future team deliverables at risk and craft a plan to remediate, consistently challenge team members to share knowledge and learn new technologies
Proficiently execute difficult conversations on development and performance
Craft and deliver strategic and well-structured persuasive arguments to drive projects that drive process improvement, enhance cost leadership, and/or customer experience
Manage up to leadership as well as give feedback when appropriate
Administer coaching plan(s) and Performance Improvement Plan(s)
Craft fully compliant quality documentation
Compliant negotiation and execution of warning administration and/or involuntary termination
Develop the team budget and be accountable for reporting on results achieved at regular intervals
Significantly contribute to the team planning process to include surfacing associate level proposals

Leadership Project Management Python SQL Cloud Computing ETL Java Kafka MLFlow People Management PyTorch Snowflake ActiveMQ Algorithms Apache Kafka Azure Data engineering Data science Data Structures Java Spring CI/CD RESTful APIs DevOps Microservices Budgeting Strategic thinking Data modeling Data analytics

Posted 2 days ago

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🔥 Senior Product Manager, Platform

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 180000.0 - 222000.0 USD per year

🔍 Data Infrastructure, Data Integration

🔧 Requirements

2+ years of experience in direct role-related product management for B2B enterprise software platforms, particularly data infrastructure, data integration or other distributed systems. Alternatively, 5+ years of experience in a sales consulting / customer success role supporting B2B enterprise software sales
5+ years of experience overall experience in enterprise software companies
Experience working cross-functionally with technical and non-technical teams
Work with a 100% distributed / remote team, collaborating in GitHub/JIRA Slack, Google docs and other modern productivity tools & requirements trackers (e.g. Aha) independently and efficiently
Comfortable switching context frequently to address customer, engineering, and go-to-market issues and requests
Experience working closely with highly technical products and customers
Excellent written and verbal communication skills, with the ability to concisely explain technical concepts to non-technical audiences (and vice-versa)

💡 Responsibilities

Meet with customers, analyze the competitive landscape, and identify market opportunities to shape the company's product strategy in your areas of responsibility
Define requirements for new features through PRDs and prioritize them appropriately in the product roadmap. Some examples of major functional areas Platform PMs work on include Enterprise Disaster Recovery, compute frameworks & SDKs (WebAssembly Data Transforms), storage engine features (Tiered Storage, Apache Iceberg, Compaction), security features (SSO/OIDC,RBAC), new Kafka APIs and features (e.g. Queues), Observability (Prometheus/Datadog integration, etc.) performance/multi-tenancy features such as resource quotas. Interfaces such as Redpanda Console and our CLI ‘RPK’ provide an approachable UX for these core features, and delivering features end-to-end often includes working with our design team to deliver the optimal UX through a mix of GUI, CLI, API and core function behaviors, as well as making general improvement to the DevEx, if that’s your thing
Communicate new features internally and externally and help articulate the value proposition, messaging, and pricing. This involves training GTM teams, sharing roadmap and product pitches with customers, writing public blogs, attending industry conferences, and potentially briefing industry analysts
Collaborate with multiple internal teams (including Engineering, Marketing, Sales, and Customer Success) to ensure we ship the right features, at the right time, with the right user experience to match the expectations of our ICP and various user personas
Own delivery of features end-to-end, picking up tasks wherever needed, reviewing documentation, and creating the telemetry required to measure the success of feature launches after rollout

Cloud Computing Product Management Cross-functional Team Leadership Strategy Apache Kafka Communication Skills Analytical Skills Excellent communication skills Market Research Technical support Customer Success SaaS

Posted 3 days ago

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🔥 Senior Data Engineer

Posted 4 days ago

📍 Worldwide

🔍 Hospitality

🏢 Company: Lighthouse

🔧 Requirements

4+ years of professional experience using Python, Java, or Scala for data processing (Python preferred)
You stay up-to-date with industry trends, emerging technologies, and best practices in data engineering.
Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
Ship large features independently, generate architecture recommendations and have the ability to implement them
Great communication: Regularly achieve consensus amongst teams
Familiarity with GCP, Kubernetes (GKE preferred), CI/CD tools (Gitlab CI preferred), familiarity with the concept of Lambda Architecture.
Experience with Apache Beam or Apache Spark for distributed data processing or event sourcing technologies like Apache Kafka.
Familiarity with monitoring tools like Grafana & Prometheus.

💡 Responsibilities

Design and develop scalable, reliable data pipelines using the Google Cloud stack.
Optimise data pipelines for performance and scalability.
Implement and maintain data governance frameworks, ensuring data accuracy, consistency, and compliance.
Monitor and troubleshoot data pipeline issues, implementing proactive measures for reliability and performance.
Collaborate with the DevOps team to automate deployments and improve developer experience on the data front.
Work with data science and analytics teams to enable them to bring their research to production grade data solutions, using technologies like airflow, dbt or MLflow (but not limited to)
As a part of a platform team, you will communicate effectively with teams across the entire engineering organisation, to provide them with reliable foundational data models and data tools.
Mentor and provide technical guidance to other engineers working with data.

Python SQL Apache Airflow ETL GCP Kubernetes Apache Kafka Data engineering CI/CD Mentoring Terraform Scala Data modeling

Posted 4 days ago

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