576 to 600 of 1,184 Permanent MongoDB Jobs

tools such as Podman and Docker. Experience with applications such as DataHub, Elasticsearch, Neo4j, Druid, JupyterHub, Label Studio, Spark, Kafka, Logstash, Kibana, MailServer, BusyBox, MongoDB, Cassandra, and GitLab CE. Experience with Red Hat Enterprise Linux (RHEL) environments. Strong understanding of Helm for Kubernetes application deployment. Familiarity with Secure Build Infrastructure More ❯

supporting production systems. Youll get to delve into solving problems within Azure, make changes and improvements in their data warehouse across SQL Server and MongoDB, get involved with improving their infrastructure capabilities and more. What youll get in return for your talents Youll receive a salary of up to £60K More ❯

agile software lifecycle Experience in streaming and/or batch analytics (Spark, MapReduce, Hadoop) Experience in distributed databases, NoSQL databases, full text-search engines (MongoDB, ElasticSearch) Experience in designing enterprise APIs Experience in RESTful web services Experience in Microservices architecture Experience in Object Oriented Programming (OOP) paradigms Experience in cloud More ❯

understanding of financial markets, derivatives, and commodities trading. Strong experience with .NET technologies (C#, .NET Core, Entity Framework, WPF) and databases (SQL Server, Oracle, MongoDB). Familiarity with Angular, microservices, and tools such as Visual Studio and Bloomberg API. Experience in financial markets, especially in commodities such as energy, metals More ❯

with an emphasis on Java-based solutions. Data Management: Strong knowledge of both relational (e.g., MySQL, SQL Server, PostgreSQL) and NoSQL databases (e.g., DynamoDB, MongoDB). Troubleshooting: Proven experience in performing in-depth root cause analysis to identify the underlying causes of software issues, whether they are related to the More ❯

tools such as Podman and Docker. • Experience with applications such as DataHub, Elasticsearch, Neo4j, Druid, JupyterHub, Label Studio, Spark, Kafka, Logstash, Kibana, MailServer, BusyBox, MongoDB, Cassandra, and GitLab CE. • Experience with Red Hat Enterprise Linux (RHEL) environments. • Strong understanding of Helm for Kubernetes application deployment. • Familiarity with Secure Build Infrastructure More ❯

skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical More ❯

tools such as Podman and Docker. Experience with applications such as DataHub, Elasticsearch, Neo4j, Druid, JupyterHub, Label Studio, Spark, Kafka, Logstash, Kibana, MailServer, BusyBox, MongoDB, Cassandra, and GitLab CE. Experience with Red Hat Enterprise Linux (RHEL) environments. Strong understanding of Helm for Kubernetes application deployment. Familiarity with Secure Build Infrastructure More ❯

skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical More ❯

of system architecture Pandas, Jupyter, Plotly DBT, Kafka BI tools such as Tableau, Metabase and Superset The current tech stack: Airflow Clickhouse DBT Python MongoDB PostgreSQL MariaDB Kafka K8s AWS FXC Intelligence is a leading provider of cross-border payments data and intelligence, providing some of the world's biggest More ❯

skills. Proficiency in Java; familiarity with Spring Framework, Spring Boot, Test-Driven Development, JUnit, Maven is a strong plus. Experience with NoSQL databases (e.g., MongoDB, DynamoDB) and in-memory Data Stores (e.g., Redis). Experience with Vector DBs (e.g., Qdrant, FAISS, Pinecone) is a strong plus. Familiarity with building low More ❯

a member of a team creating the world's sports products working with modern server-side platform frameworks and services such as Spring Boot, MongoDB, and Apache Kafka. Beyond performing daily responsibilities working on our team, you will have opportunities to contribute innovative ideas for our product and learn more More ❯

Data Engineer with a focus on Azure Cloud data Services (e.g. Azure Data Factory, Data Lake, etc.) Database Skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar) Excellent SQL skills. Skills in developing data visualizations (e.g. Power BI) Strong programming skills, ideally in Python. Understanding of ETL pipeline development More ❯

Data Engineer with a focus on Azure Cloud data Services (e.g. Azure Data Factory, Data Lake, etc.) Database Skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar) Excellent SQL skills. Skills in developing data visualizations (e.g. Power BI) Strong programming skills, ideally in Python. Understanding of ETL pipeline development More ❯

MassTransit frameworks for inter-service communication. You will be working extensively with RabbitMQ for message queuing and handling. You will handle large datasets using MongoDB, Azure Cosmos DB, MySQL, and MS SQL Server. You will Work closely with cross-functional teams to define backend requirements, design scalable solutions, and implement More ❯

CI/CD pipelines. Linux & Networking: Solid understanding of Linux internals, cgroups, routing, switching, firewalls, and DNS/service discovery. Databases: Experience with MySQL, MongoDB, and database administration (Flyway or Liquibase a plus). Bonus Experience Data center operations Crypto, fintech,bare-metal provisioning or trading experience What we offer More ❯

and optimize automation processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute More ❯

synthesis from system level to individual software components. Required Skills: Focus will be on CONTRAOCTAVE. AWS DevOps Java Spring/SpringBoot Kubernetes Linux GitLab MongoDB Postgres NiFi PRESSUREWAVE Testing and analytical experience Here's What You'll Need: Analyze user requirements to derive software design and performance requirements. Debug existing More ❯

Knowledge of major Financial Products (e.g., EuroGovies/Swaps/GILTS/SAS etc.) and Broker/Customer Markets electronic trading flows. Experience on MongoDB Experience with modern software development practices such as Agile development, test-driven development, and continuous integration and continuous delivery. Worked in an Agile globally distributed More ❯

model deployment Knowledge of MLOps practices and tools for experiment tracking Experience with big data processing frameworks like Apache Spark Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data Experience with data versioning and feature stores for machine learning Proficiency in model deployment using containerization (Docker, Kubernetes) What we More ❯

model deployment Knowledge of MLOps practices and tools for experiment tracking Experience with big data processing frameworks like Apache Spark Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data Experience with data versioning and feature stores for machine learning Proficiency in model deployment using containerization (Docker, Kubernetes) What we More ❯

automation and continuous monitoring, and system design with focus on scalability and reliability Experience with database administration and optimization such as RDS, DynamoDB, or MongoDB, serverless architecture expertise such as Lambda or API Gateway, and leading technical initiatives in large-scale environments Knowledge of security best practices and compliance requirements More ❯

technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer More ❯

technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer More ❯

technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer More ❯