1 to 25 of 182 Remote NoSQL Jobs

and containerized environments. Knowledge of SQL databases (SQL Server, PostgreSQL). Familiarity with Entity Framework Core . Understanding of web accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Exposure to AI/LLM integrations (e.g., Langchain or similar tools). Working knowledge of design systems , such as the GOV.UK Design System . More ❯

existing systems. Required Skills & Qualifications 5+ years of professional experience in Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention More ❯

etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus. Ability to read/write code and expertise with various design patterns. Have used NoSQL databases such as MongoDB, Cassandra, etc. Work on opportunities along with sales, practice, delivery teams through the pre-sales process. Develop customer proposals - solution architecture, pitch decks, estimating solution effort More ❯

level with back-end programming languages (Java/Spring, Python) Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL, LDAP, HTTP, REST/SOAP, RDBMS Familiar with Configuration Management and CI Tools, such as, Git/Gitlab, Jenkins, SonarQube, Maven, Ansible, Chef Familiar with Linux/ More ❯

Excellent communication and collaboration skills. Curiosity about AI tools and frameworks, and interest in how LLMs can improve developer productivity, automation, or decision systems. Nice to haves: Experience with NoSQL databases (MongoDB, Cassandra, Redis). Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data More ❯

PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯

PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯

PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯

PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯

PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯

tech stacks and a willingness to grow your skills. Essential Skills: Strong experience with back-end development using Node.js, Python, or Java (Spring Boot) Solid understanding of SQL and NoSQL databases (e.g., MongoDB) Familiarity with CI/CD pipelines, Git workflows, and agile methodologies Experience with containerisation (e.g., Docker, Kubernetes) Exposure to cloud platforms (AWS preferred, Azure/GCP also More ❯

existing systems. Required Skills & Qualifications 3+ years of professional experience in Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention More ❯

e.g., AWS, GovCloud ) and technologies (e.g., Kubernetes, Rancher, Helm ) - Scalable web application development (e.g., Angular, Node, JavaScript, TypeScript, Django, RESTful APIs ) - Databases and query Languages (e.g., Elasticsearch, Oracle, MySQL, NoSQL, MongoDB, Neo4j ) - DevSecOps, microservice oriented architectures, containerization, and CI/CD tools and processes (e.g., GitLab, Docker, Jenkins ) - Embedded and real-time system programming. Functional programming a plus (Haskell, Scala More ❯

/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯

/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯

/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯

/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯

/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯

in Qlik Sense (data modeling, scripting, and dashboard creation). Strong programming skills in Python, Java, or Scala for data processing. Expertise in SQL and experience with relational and NoSQL databases. Familiarity with cloud platforms (e.g., AWS or Azure) and related services for data engineering. Experience with data orchestration tools like Apache Airflow or similar is a plus Certifications in More ❯

or more modern programming languages (e.g., Node.js, Python, Java, Go, or C#). Experience building and maintaining APIs, web applications, or distributed systems. Familiarity with relational and/or NoSQL databases. Understanding of version control (Git), CI/CD pipelines, and containerization tools (e.g., Docker). Excellent communication skills and ability to work independently in a remote setting. Preferred Experience More ❯

real-time networking, WebSockets, RPCs, REST APIs, gRPC, etc. Hands-on experience with matchmaking algorithms, player session management, and anti-cheat systems. Deep understanding of database systems, including SQL & NoSQL solutions (PostgreSQL, Redis, MongoDB, etc.). Strong grasp of microservices architecture, server orchestration, and containerization (Docker, Kubernetes). Experience working in high-performance, low-latency environments, optimizing backend logic for More ❯

Skills & Experience Required: Strong experience with Java, Spring Boot , and RESTful APIs. Proficiency in front-end frameworks such as React, Angular, or Vue.js. Good understanding of databases (SQL and NoSQL). Familiarity with CI/CD pipelines, cloud platforms (AWS/Azure), and containerisation (Docker, Kubernetes) is highly desirable. Strong problem-solving and communication skills. Experience working in Agile/ More ❯

source code management. Event driven architecture - experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. GitHub. Desirable Skills Data More ❯

Kubernetes Amazon Elastic Kubernetes Service (EKS) , and container orchestration. At least three (3) to five (5) years of experience with structured query language (SQL) and/or non-SQL (NoSQL) databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB). At least three (3) to five (5) years of experience with Encryption standards, Secrets management (AWS Secrets Manager, HashiCorp Vault), and Compliance frameworks More ❯

with Docker, Kubernetes, and cloud AI platforms such as AWS Bedrock, Sagemaker, Azure ML, or GCP Vertex AI Working knowledge of data tools such as Spark, Pandas, SQL/NoSQL databases Security: TS clearance required Nice to Have Experience with LangChain, hybrid retrieval orchestration frameworks, or custom AI agent architectures Experience implementing custom authentication/authorization strategies for AI systems More ❯