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Software Engineer 1 - (Python, PySpark, AWS)
Builds, maintains, and enhances complex software systems for a cleared government customer — processing-intensive analytics, algorithm development, and extremely large data sets — working from documented requirements and tests. Core stack is Python, PySpark, and AWS (Lambda, Glue, DynamoDB). TS/SCI clearance with polygraph is required.
Data Scientist - $229K – $254K
Data Scientist at RCT Systems in Chantilly, VA (on-site) building and maintaining bulk data pipelines, ETL processes, and analytics dashboards in a cloud environment using Python, Spark/PySpark, SQL, and AWS tooling. Requires an active TS/SCI clearance with polygraph. Salary $229K–$254K.
Full Stack Senior Java Developer
Senior full-stack Java developer building and supporting enterprise applications for a banking and financial services environment: Java backend microservices and REST APIs, modern frontend frameworks, Oracle/SQL Server/DynamoDB data layers, and AWS/Azure/GCP deployments with Kubernetes/Docker and CI/CD DevOps practices.
Senior DevOps Engineer - AWS
Hands-on Senior DevOps Engineer building, automating and supporting AWS cloud infrastructure and CI/CD pipelines for a digital product portfolio. Core stack: AWS, Terraform (IaC), Git/Bitbucket/Jenkins, AWS Amplify pipelines, and scripting with PowerShell, Bash and Python.
Senior Full Stack Developer (React & Node.js)
Senior full stack developer building scalable web applications: React.js frontend, Node.js/Express/NestJS backend, REST/GraphQL/WebSocket APIs, SQL/NoSQL databases (PostgreSQL, MongoDB, Firebase), CI/CD, Docker and cloud (AWS/GCP/Azure), with architecture leadership and mentoring of junior developers. TypeScript and Next.js are pluses.
Senior Full stack Developer
Senior Full-Stack Developer in Midrand, South Africa, designing, building, and deploying modern web applications end to end — front-end with React/Angular/Vue, back-end APIs with Node.js/Python/Go, SQL and NoSQL databases, plus cloud/DevOps deployment, architecture leadership, and mentoring junior developers.
eKYC Full Stack Developer
Full-stack developer in Johannesburg building eKYC (electronic Know Your Customer) applications with biometric authentication, OCR document verification, and AI-driven identity verification. Uses React/Angular/Vue front ends, Node.js/Python/Java back ends, and SQL/NoSQL databases, with a focus on KYC/AML, GDPR, and data security compliance.
Cloud Native Full Stack Engineer
Senior full-stack developer designing, building, and deploying cloud-native applications on AWS: backend services in Java/Spring Boot and NodeJS, React/TypeScript frontends, containerized with Docker and Kubernetes (EKS), plus CI/CD pipelines, API integrations, and monitoring.
UFT QA Engineer
QA automation engineer developing, maintaining, and executing automated tests with UFT for APIs, web, and client-server applications, integrating test suites into DevOps pipelines (Bamboo/Jenkins) and covering smoke, regression, performance, and security testing. Contract-to-hire; remote initially, then onsite in NYC or Chicago.
Contact Center Transformation Consulting Analyst – Amazon Connect | Manila
Job Details: You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. Analyst / Consultant 2 – 9 years of experience…
Senior Software Engineer
Senior Software Engineer at Skillsnap building backend services for a compliance-first, human-in-the-loop AI recruitment platform. Day-to-day: policy-controlled AI workflows, ATS integrations (Greenhouse, Lever, Workday), auditable approval pipelines, and secure AWS infrastructure using Java/Kotlin, Go, Python, or Node.js, OPA/Rego, and Terraform/CDK.
68965 Data Architect
Senior data engineering architect at consulting firm Avanade in Singapore, designing and building cloud data pipelines, streams, lakehouse architectures, data service APIs, and Power BI dashboards for enterprise clients. Core stack is Azure (Data Factory, Data Lake, SQL), Databricks, and ETL/ELT tooling.
65097 Data Architect
Designs the enterprise data lake and gives technical direction to data engineers, analysts, integration developers and DBAs; owns HLD documents and QA of architecture deliverables across Analyze-to-Deployment phases. Stack spans Hadoop/Spark big data, ETL/ELT (AWS Glue, Talend), SQL/NoSQL (MS SQL, DynamoDB), Azure/AWS, and data virtualization tools like Denodo.
2576738 Business Intelligence Engineer
Business Intelligence Engineer in the AWS Support organization: define KPIs with internal stakeholders and build information-rich, intuitive dashboards and reports that drive leadership decisions. Core work involves SQL, cloud-based data technologies (Redshift, NoSQL), ETL pipelines, and visualization tools like Tableau/Quicksight.
Senior Backend Software Engineer | Hybrid (3 O, 2 H) | Christchurch
Senior backend engineer at a global cross-border payments fintech, owning payment services end-to-end — API design, data modeling, architecture, reliability, and legacy modernization — while mentoring engineers. Preferred stack is C#/.NET on AWS (SQS, DynamoDB, ECS, Lambda); hybrid role tied to the Christchurch office.
Principal Software Engineer | Hybrid (3 O, 2 H) | Christchurch
Principal Software Engineer (senior hands-on IC) at a global fintech building cross-border payments technology. Leads architecture, technical standards, and legacy-to-cloud modernization across teams while writing production code: full-stack with Vue.js/React frontends and C#/.NET (or Java/Kotlin/Go) backends on AWS, plus championing AI-assisted development.
Machine Learning Search Engineer
Full-stack engineer (Software Engineer III) on the ML/AI Search team building intelligent product search for millions of industrial buyers. Day to day: designing Python retrieval/ranking pipelines and APIs, ML inference (embeddings, LLM query understanding, reranking), React frontends, and Elasticsearch/vector search infrastructure on GCP.
システムエンジニア
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Data Engineer
Data Engineer on Generali's Data Technologies, Analytics and BI team, building and maintaining scalable data pipelines, ETL processes, and cloud data lakes/warehouses to support analytics, ML models, and AI-driven decisions. Core stack: Python, SQL/Scala, Spark, cloud platforms (AWS/Azure/GCP), and MLOps tools like MLflow and Kubeflow.