Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Senior AI Infrastructure Engineer specializing in cloud-native and edge AI systems
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and Generative AI
Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps
Senior Cloud & DevSecOps Engineer specializing in AWS/Azure infrastructure automation
Senior DevOps Engineer specializing in cloud-native Kubernetes and DevSecOps
Mid-Level Software Engineer specializing in backend, microservices, and cloud platforms
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud microservices
“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”
Mid-level Platform/SRE Engineer specializing in Kubernetes and multi-cloud automation
“Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.”
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment
Senior Software Engineer specializing in cloud-native Java microservices
Mid-level Backend Software Engineer specializing in Python microservices and cloud-native APIs
Mid-level .NET Developer specializing in cloud-native web applications on Azure
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
“Customer-facing software engineer who rapidly turns business requirements into Figma prototypes and PoC applications, using workflow prioritization and frequent client reviews to stay aligned. Has hands-on experience integrating with existing authentication/user APIs, building MongoDB-backed caching, and implementing robust fallback/retry mechanisms. Comfortable working on-site with customers and resolving production issues in AWS (e.g., DNS/EC2 traffic routing) in collaboration with DevOps.”