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Top Software Engineer Jobs in St. Louis, MO
AdTech • Digital Media • Marketing Tech • Software • Automation
Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.
Top Skills:
AWSDockerJavaJavaScriptKafkaKubernetesMongoDBMySQLPostgresRabbitMQReactRedisRuby
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.
Top Skills:
Python
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.
Top Skills:
AirflowAWSAzureC++DockerGCPKubernetesLinuxPythonTypescript
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.
Top Skills:
Ai Coding ToolsAWSDjangoJavaScriptMySQLNode.jsPythonReactRedisRuby On RailsSidekiq
Healthtech • Pet
The Staff Frontend Engineer will lead frontend architecture, build high-performance React applications, mentor junior engineers, and collaborate closely with product teams to enhance user experiences.
Top Skills:
ClickhouseDjangoDjango Rest FrameworkElasticsearchGitJavaScriptPostgresPythonReactReact NativeRedisTypescript
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Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.
Top Skills:
AirflowAmundsenSparkAws RdsCloudFormationDagsterDatabricksDatahubDelta LakeDockerDynamoDBEcsFargateGoHive MetastoreHudiIcebergJavaKinesisKubernetesLambdaPrefectPythonS3ScalaSqsTerraformUnity Catalog
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Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and ship full-stack services and internal CX applications using Go, gRPC, TypeScript, and React. Design third-party integrations, ensure reliability for high-traffic production systems, operate on AWS with Kubernetes and Terraform, and partner on architecture, testing, deployment, and observability. Translate technical concepts for non-technical stakeholders and apply responsible generative AI practices to improve workflows.
Top Skills:
AWSBuildkiteGeminiGleanGoGrpcJavaScriptKafkaKubernetesLibrechatNoSQLReactSQLTerraformTypescript
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design, scope, and implement scalable full‑stack ecommerce solutions. Improve platform performance and usability, collaborate with Product and Design, run experiments, ship features, and ensure seamless integration across the product ecosystem.
Top Skills:
AngularAWSBootstrapDockerFigmaGitJavaKotlinNode.jsReactTailwind
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AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.
Top Skills:
AWSCloudwatchEc2EksElasticsearchIamJavaKafkaKubernetesLambdaNoSQLPythonRdsRubyS3
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.
Top Skills:
Cloud ComputingDataopsHpc ClusterMachine LearningSoftware Architecture
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