Remote Jobs in Germany

Kafka

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🔥 Staff Technical Account Manager - DERMS

Posted about 11 hours ago

📍 Australia

🏢 Company: vernova_externalsite

🔧 Requirements

Experience managing enterprise customers in Distributed Energy Resources Management Systems (DERMS).
Experience of IT software support including Kubernetes & Kafka preferred.
Bachelors in Electrical Engineering / Computer Science

💡 Responsibilities

Provides account management for Premier Support and Escalated accounts.
Develop and drive action plans to accelerate issue resolution.
Maintain customer communication, and advocate for the customer to ensure successful implementation and operation of GE Digital software solutions.
Develop specialized knowledge in their discipline.
Serve as best practice/quality resource.

Project Management SQL Data Analysis Kafka Kubernetes Communication Skills Customer service Account Management Technical support Customer Success

Posted about 11 hours ago

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🔥 Enterprise Architect – GridOS Distributed Energy Resource Management System (DERMs)

Posted about 11 hours ago

📍 Australia

🔍 Utilities

🏢 Company: vernova_externalsite

🔧 Requirements

10+ years in enterprise or solution architecture in the utilities, OT, or critical infrastructure domain.
Strong hands-on knowledge of: Kubernetes (RKE2/AKS), Istio, Helm
Experience working in regulated industries and aligning with compliance and cybersecurity standards (ISO27001, NIST, Australian Signals Directorate)

💡 Responsibilities

Architect scalable, secure, and cloud-native GridOS solutions across DERMS and ADMS platforms.
Define end-to-end technical architecture for control systems, telemetry pipelines, and DER integration using Kafka, ActiveMQ, Helm, Istio, MinIO, and PostgreSQL.
Lead technical solutioning in pre-sales (ITO) efforts; provide expert architectural input into Statements of Work (SOWs), estimates, and delivery assumptions.

Leadership PostgreSQL SQL Cloud Computing Cybersecurity Git Kafka Kubernetes LDAP Microsoft Azure Microsoft Power BI Software Architecture ActiveMQ API testing Azure REST API Communication Skills CI/CD Problem Solving Microsoft Office Agile methodologies Mentoring Linux DevOps Terraform Compliance

Posted about 11 hours ago

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🔥 Data Engineer | Senior | Threat Intelligence | Poland remote

Posted about 11 hours ago

📍 Poland

💸 22900.0 - 29900.0 PLN per month

🔍 Threat Intelligence

🔧 Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
2+ years of experience as a Data Engineer, working with large-scale distributed systems.
Proven expertise in Lakehouse architecture and Apache Hudi in production environments.
Experience with Airflow, Kafka, or streaming data pipelines.
Strong programming skills in Python and PySpark.
Comfortable working in a cloud-based environment (preferably AWS).

💡 Responsibilities

Design, build, and manage scalable data pipelines using Python, SQL, and PySpark.
Develop and maintain lakehouse architectures, with hands-on use of Apache Hudi for data versioning, upserts, and compaction.
Implement efficient ETL/ELT processes for both batch and real-time data ingestion.
Optimize data storage and query performance across large datasets (partitioning, indexing, compaction).
Ensure data quality, governance, and lineage, integrating validation and monitoring into pipelines.
Work with cloud-native services (preferably AWS – S3, Athena, EMR) to support modern data workflows.
Collaborate closely with data scientists, analysts, and platform engineers to deliver reliable data infrastructure

AWS Python SQL Cloud Computing ETL Kafka Airflow Data engineering CI/CD Terraform

Posted about 11 hours ago

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🔥 Senior Security Engineer (SIEM/Cribl) - Northeast region (Remote)

Posted about 17 hours ago

📍 United States

🧭 Full-Time

🔍 Information Security

🔧 Requirements

5+ years of experience in security engineering, with a primary focus on SIEM platforms.
Hands-on experience with at least two of the following SIEM platforms: Splunk, Microsoft Sentinel, Elastic, Google SecOps, CrowdStrike NG-SIEM, LogScale
2+ years of experience with Cribl or similar observability pipeline tools (e.g., Logstash, Fluentd, Kafka).
Strong knowledge of log formats, data normalization, and event correlation.
Familiarity with detection engineering, threat modeling, and MITRE ATT&CK framework.
Proficiency with scripting (e.g., Python, PowerShell, Bash) and regular expressions.
Deep understanding of logging from cloud (AWS, Azure, GCP) and on-prem environments.

💡 Responsibilities

Architect, implement, and maintain SIEM solutions with a focus on modern platforms
Design and manage log ingestion pipelines using tools such as Cribl Stream, Edge, or Search (or similar).
Optimize data routing, enrichment, and filtering to improve SIEM efficiency and cost control.
Collaborate with cybersecurity, DevOps, and cloud infrastructure teams to integrate log sources and telemetry data.
Develop custom parsers, dashboards, correlation rules, and alerting logic for security analytics and threat detection.
Maintain and enhance system reliability, scalability, and performance of logging infrastructure.
Provide expertise and guidance on log normalization, storage strategy, and data retention policies.
Lead incident response investigations and assist with root cause analysis leveraging SIEM insights.
Mentor junior engineers and contribute to strategic security monitoring initiatives.

AWS Python Bash Cloud Computing GCP Kafka Kubernetes API testing Azure Data engineering CI/CD RESTful APIs Linux DevOps JSON Ansible Scripting

Posted about 17 hours ago

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🔥 Span - Product Engineer

Posted about 17 hours ago

📍 Argentina

🧭 Full-Time

🔍 Software Development

🏢 Company: Silver.dev

🔧 Requirements

Resourceful individuals who thrive in a high agency environment.
Have been a founder, seed-stage engineering hire, or have launched your own project before.
Have strong product sense.
Have experience working with LLMs and agentic workflows.

💡 Responsibilities

Help with projects that root cause KTLO work and recommend solutions.
Develop a software catalog.
Help protect engineering focus time by systemically solving sources of distraction or mental load with AI.

AWS Backend Development PostgreSQL Kafka Kubernetes TypeScript Redis Nest.js React Software Engineering

Posted about 17 hours ago

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🔥 Sr. Backend Engineer II, Cloud - Next-Gen SIEM (Remote)

Posted about 17 hours ago

📍 United States, Canada

🧭 Full-Time

💸 155000.0 - 255000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

10+ years of experience in software development, with a focus on cloud-native architectures and distributed systems.
Expert-level proficiency in at least one modern programming language such as Go (preferred), Python, Java, or C#.
Demonstrated experience in designing and implementing large-scale, high-performance data processing systems.
Strong understanding of security concepts, threat detection methodologies, and UEBA principles.
Proven track record of leading complex technical projects and delivering results on schedule.
Experience with cloud platforms (preferably AWS) and containerization technologies like Docker and Kubernetes.
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
A collaborative mindset and the ability to work effectively across teams and disciplines.

💡 Responsibilities

Lead the design and development of cloud-native microservices for our Next-Gen SIEM platform, focusing on detections and UEBA capabilities that can process and analyze trillions of events per day.
Take end-to-end ownership of complex, high-impact projects across multiple teams, driving technical decisions and providing architectural guidance using collaborative tools like Miro.
Partner with cross-functional teams to define, design, and implement solutions that enhance threat detection and analysis capabilities. Contribute to the medium-term strategic and technical direction by identifying areas of greatest need, and creating plans for improvement.
Utilize and integrate technologies such as Go, Kafka, Redis, OpenSearch, PostgreSQL, and more to build robust, scalable solutions.
Optimize and scale existing systems for improved stability, performance, and reliability across business-critical infrastructure, using monitoring tools like Grafana to track and analyze system metrics.
Mentor junior engineers through pair programming, code reviews, and knowledge sharing, fostering a culture of technical excellence. Additionally, participate in the interview process and coach/mentor new interviewers to maintain high hiring standards.
Champion software engineering best practices to ensure high-quality deliverables, including robust testing strategies, effective code reviews, comprehensive documentation, continuous integration/deployment, and adherence to architectural principles that promote scalability and maintainability.
Participate in and lead technical working groups that influence the broader Product team or industry.
Provide monitoring and operational support for production services, including participating in an on-call rotation for one week approximately every 10-12 weeks.
Be given the autonomy to own your work in a high trust environment, managing tasks and priorities effectively using Jira.

AWS Backend Development Docker PostgreSQL Software Development Cloud Computing Cybersecurity Kafka Kubernetes Go Redis CI/CD RESTful APIs DevOps Microservices

Posted about 17 hours ago

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🔥 Backend Software Engineer (Remote)

Posted about 17 hours ago

📍 United Kingdom, Ireland

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
Solid understanding of distributed systems and scalability challenges.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

💡 Responsibilities

Design, develop, document, test, deploy, maintain, and enhance large scale services.
Take ownership and be accountable for deliverables.
Triage system issues and debug by analyzing the sources of issues and the impact on service operations.
Mentor other engineers on web and backend engineers on use of our feature services.
Constantly re-evaluate our products to improve architecture, testing coverage, knowledge models, user experience, performance, observability and stability.
Partner with product teams in understanding their needs, work with PM to document the new requirements, and implement those new features within our feature services

AWS Backend Development Python Software Development Git Kafka Kubernetes Algorithms API testing Cassandra Data Structures Go Postgres Redis CI/CD RESTful APIs Linux DevOps Microservices Software Engineering

Posted about 17 hours ago

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🔥 Data Engineer (Contract)

Posted about 20 hours ago

📍 LatAm

🧭 Contract

🏢 Company: AbleRental Property Management Real Estate

🔧 Requirements

10+ years of data engineering experience with enterprise-scale systems
Expertise in Apache Spark and Delta Lake, including ACID transactions, time travel, Z-ordering, and compaction
Deep knowledge of Databricks (Jobs, Clusters, Workspaces, Delta Live Tables, Unity Catalog)
Experience building scalable ETL/ELT pipelines using tools like Airflow, Glue, Dataflow, or ADF
Advanced SQL for data modeling and transformation
Strong programming skills in Python (or Scala)
Hands-on experience with data formats such as Parquet, Avro, and JSON
Familiarity with schema evolution, versioning, and backfilling strategies
Working knowledge of at least one major cloud platform: AWS (S3, Athena, Redshift, Glue Catalog, Step Functions), GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub), or Azure (Synapse, Data Factory, Azure Databricks)
Experience designing data architectures with real-time or streaming data (Kafka, Kinesis)
Consulting or client-facing experience with strong communication and leadership skills
Experience with data mesh architectures and domain-driven data design
Knowledge of metadata management, data cataloging, and lineage tracking tools

💡 Responsibilities

Shape large-scale data architecture vision and roadmap across client engagements
Establish governance, security frameworks, and regulatory compliance standards
Lead strategy around platform selection, integration, and scaling
Guide organizations in adopting data lakehouse and federated data models
Lead technical discovery sessions to understand client needs
Translate complex architectures into clear, actionable value for stakeholders
Build trusted advisor relationships and guide strategic decisions
Align architecture recommendations with business growth and goals
Design and implement modern data lakehouse architectures with Delta Lake and Databricks
Build and manage ETL/ELT pipelines at scale using Spark (PySpark preferred)
Leverage Delta Live Tables, Unity Catalog, and schema evolution features
Optimize storage and queries on cloud object storage (e.g., AWS S3, Azure Data Lake)
Integrate with cloud-native services like AWS Glue, GCP Dataflow, and Azure Synapse Analytics
Implement data quality monitoring, lineage tracking, and schema versioning
Build scalable pipelines with tools like Apache Airflow, Step Functions, and Cloud Composer
Develop cost-optimized, scalable, and compliant data solutions
Design POCs and pilots to validate technical approaches
Translate business requirements into production-ready data systems
Define and track success metrics for platform and pipeline initiatives

AWS Python SQL Cloud Computing ETL GCP Kafka Airflow Azure Data engineering Scala Data modeling

Posted about 20 hours ago

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🔥 Senior Software Engineer – MERN Stack (Remote – Mexico Only)

Posted about 21 hours ago

📍 Mexico

🧭 Full-Time

🔍 Software Development

🏢 Company: Varicent

🔧 Requirements

5+ years of experience in modern web development with React, Node.js, TypeScript, and JavaScript.
Strong background with microservices, cloud architecture, and serverless development (preferably AWS).
Solid knowledge of SQL, NoSQL, and API design (REST/GraphQL).
Experience in automated testing, CI/CD, and agile delivery environments.

💡 Responsibilities

Lead the design and development of new features using the MERN stack.
Build cloud-native apps with AWS Lambda, Aurora, DynamoDB, ECS, and GraphQL.
Improve system scalability, performance, and architecture.
Write clean, efficient, and maintainable code with CI/CD and test automation.
Collaborate closely with product and design to deliver intuitive user experiences.
Guide junior developers through code reviews and technical mentoring.

AWS Backend Development Docker GraphQL Node.js Software Development SQL Agile DynamoDB Express.js Frontend Development Javascript Kafka React.js TypeScript API testing REST API Redux Serverless TestRail React Communication Skills CI/CD Problem Solving Mentoring Microservices Technical support Software Engineering English communication

Posted about 21 hours ago

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🔥 Lead Backend & MLOps Engineer

Posted about 21 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Buzz Solutions

🔧 Requirements

8+ years of industry experience with modern systems development, ideally end to end pipelines and applications development
Track record of shipping complex backend features end-to-end
Ability to translate customer requirements into technical solutions
Strong programming and computer science fundamentals and quality standards
Experience with Python and modern web frameworks (FastAPI) and Pydantic
Experience designing, implementing, and debugging web technologies and server architecture
Experience with modern python packaging and distribution (uv, poetry)
Deep understanding of distributed systems and scalable architecture
Experience building reusable, modular systems that enable rapid development and easy modification
Strong experience with data storage systems (PostgreSQL, Redis, BigQuery, MongoDB)
Expertise with queuing/streaming systems (RabbitMQ, Kafka, SQS)
Expertise with workflow orchestration frameworks (Celery, Temporal, Airflow) and DAG-based processing
Proficiency in utilizing and maintaining cloud infrastructure services (Google Cloud/AWS/Azure)
Experience with Kubernetes for container orchestration and deployment
Solid grasp of system design patterns and tradeoffs
Experience and in-depth understanding of AI/ML systems integration
Deep understanding of the ML Lifecyle
Experience with big data technologies and data pipeline development
Experience containerizing and deploying ML applications (Docker) for training and inference workloads
Experience with real-time streaming and batch processing systems for ML model workflows
Experience with vector databases and search systems for similarity search and embeddings

💡 Responsibilities

Partner closely with engineering (software, data, and machine learning), product, and design leadership to define product-led growth strategy with an ownership-driven approach
Establish best practices, frameworks, and repeatable processes to measure the impact of every feature shipped, taking initiative to identify and solve problems proactively
Make effective tradeoffs considering business priorities, user experience, and sustainable technical foundation with a startup mindset focused on rapid iteration and results
Develop and lead team execution against both short-term and long-term roadmaps, demonstrating self-starter qualities and end-to-end accountability
Mentor and grow team members to be successful contributors while fostering an ownership culture and entrepreneurial thinking
Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance
Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture
Implement comprehensive MLOps workflows including model registry, deployment pipelines, monitoring systems for model drift, and CI/CD automation for ML-based backend services
Establish robust testing, monitoring, and security frameworks including unit/stress testing, vulnerability assessments, and customer usage analytics
Drive technical excellence through documentation, code reviews, standardized practices, and strategic technology stack recommendations

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing GCP Kafka Kubernetes Machine Learning MLFlow MongoDB Rabbitmq Airflow FastAPI Redis Nosql CI/CD RESTful APIs Microservices

Posted about 21 hours ago

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