8 open jobs on The Stack list NoSQL as a key skill. They come from 6 companies in 4 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names NoSQL in its key skills. We do not guess skills from the job title.
What you'll do: Shape the architecture of data products for analytics and data science, focusing on forecasting, feature engineering, and data source integration. Build reusable data pipelines, collaborate with data scientists and ML engineers to refine…
What they ask for: Expert in batch and near-real-time streaming data processing with Kafka, Flink and Spark; cloud-based AWS experience; proficient in Python and SQL; strong data warehousing (Redshift/PostgreSQL) and NoSQL skills; solid DevOps/CI-CD…
What you'll do: Shaping the architecture of data products for analytics and data science, building reusable data pipelines, and collaborating with data scientists to refine data requirements and ensure data quality and governance.
What they ask for: Expert in batch and near real-time streaming data processing (Kafka, Spark); cloud-based big data platform experience (AWS); proficient in Python and SQL (Redshift/PostgreSQL) plus NoSQL; strong DevOps/CI/CD and infrastructure as code…
What you'll do: You will build core features for card transaction systems on a distributed hybrid cloud platform as part of an agile team. You will also collaborate with stakeholders to analyze requirements and drive innovation using modern development…
What they ask for: Candidates must have a degree in Computer Science or equivalent experience along with strong proficiency in Java or Go. You should have hands-on experience with distributed micro-service architectures, cloud platforms, and modern DevOps…
What you'll do: You will drive the technical architecture of the supplier domain and build software using agentic AI tools throughout the development lifecycle. You will collaborate with cross-functional teams to redefine development workflows and ensure…
What they ask for: The role requires solid experience in cloud-native application development and a proven track record of driving AI engineering transitions. Candidates must possess strong programming skills, preferably in C# and .NET, along with expertise…
What you'll do: You will own the end-to-end solution design for cross-domain and global initiatives, translating business requirements into scalable technical solutions. This involves producing architecture documentation, managing non-functional…
What they ask for: Candidates must have a Bachelor’s or Master’s degree in a technical field and over 10 years of experience in solution design across multiple technology domains. Strong expertise in distributed systems, cloud infrastructure (AWS), and data…
What you'll do: The Lead Enterprise Solutions Architect will oversee the end-to-end architecture review process and manage a team of Enterprise Solutions Architects. They are responsible for designing large-scale cross-cutting initiatives and establishing…
What they ask for: Candidates must possess a Bachelor's or Master's degree in Computer Science or a related field, along with over 14 years of experience in engineering and architecture. Strong expertise in distributed systems, AWS, and data architecture is…
What you'll do: Design and build the server-side foundation to transition the game from client-authoritative to a competitive, server-validated architecture. Collaborate with client developers and game designers to implement matchmaking, cheat detection…
What they ask for: Requires 5+ years of backend development experience with extreme fluency in Golang and mastery of SQL and NoSQL databases. Candidates must have a background in high-scale systems and the ability to work autonomously in a cross-functional…
What you'll do: You will build and operate high-throughput data ingestion pipelines and search systems for AI products. This involves managing the full lifecycle of data from source acquisition to serving queries while optimizing for performance and…
What they ask for: You must have strong proficiency in Python and SQL with extensive experience operating production data pipelines and search systems. A proven track record of diagnosing performance bottlenecks and managing large-scale datasets is essential.