Pre-screened and vetted.
Mid-level Software Engineer specializing in AWS, DevOps automation, and data platforms
“Engineer with Securonix experience deploying and operating production microservices and real-time data-processing systems at high throughput. Led AWS infrastructure, CI/CD, monitoring, and customer-driven customization for a threat-report classification solution, including rule adjustments and model retraining based on live client feedback.”
Senior Software Engineer specializing in data infrastructure and reporting platforms
“Backend/data platform engineer who owned a production merchant-activity aggregation and event publishing system processing ~500k merchants daily. Built a Snowflake-based daily KPI summarization pipeline orchestrated via AWS Glue/SQS and an ECS Spring Boot publisher that encrypts and publishes events to Kafka, with strong operational monitoring and reconciliation. Drove major scalability wins (10x throughput) via caching around encryption/key-management and designed selective reprocessing to handle late-arriving data cost-effectively.”
Mid-Level Backend Software Engineer specializing in FinTech and scalable APIs
“Backend/microservices engineer with fintech loan-lifecycle experience operating low-latency (sub-250ms) services in production using Kafka, idempotent transaction design, and Datadog observability. Also built an end-to-end LLM chatbot (React + Flask) with a decoupled model integration layer (FLAN-T5 via Hugging Face) and has experience designing partner-facing REST APIs with OAuth2/JWT and Swagger documentation.”
Senior Full-Stack Engineer specializing in scalable cloud-native systems
“Backend/data engineer with production experience building high-concurrency customer engagement platforms at KomBea on AWS (EKS + Lambda) using FastAPI/Django, PostgreSQL, Redis, and strong observability. Has modernized legacy batch systems into modular Python services with parallel-run parity validation and phased rollouts, and has delivered resilient AWS Glue ETL pipelines with schema evolution and data quality controls.”
Mid-level Software Engineer specializing in AI agents, data pipelines, and cloud systems
“Generalist software engineer with recent contract work at Vertex Pharmaceuticals shipping a desktop-integrated RAG assistant for lab scientists (2000+ pages ingested; ~40% support-ticket reduction in pilot). Previously owned Python/AWS financial automation services at Amazon operating at multi-billion-dollar scale, with strong strengths in API design, observability, and database/performance tuning; also built a React/TypeScript AI contract analysis product (ContractsGuy).”
Mid-level Software Engineer specializing in Java/Spring Boot, Kafka, and AWS
“Software engineer who owned an end-to-end self-service reporting workflow (secure APIs, async/batched processing, and React UI), improving report generation performance by ~30–40% and reducing manual support effort. Also built a RAG/embeddings prototype over internal docs and service logs with grounding-focused guardrails, and has a strong reliability/observability mindset (retries, DLQs, CI/CD validation, dashboards/tracing) for distributed workflows.”
“ML/AI engineer with strong end-to-end production ownership across classical ML and GenAI systems. Built and deployed predictive analytics and RAG-based internal tools on AWS/Kubernetes with measurable impact on accuracy, latency, deployment speed, safety, and user productivity.”
Director-level AI Architect/Manager specializing in GenAI, MLOps, and enterprise automation
“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”
Mid-level MLOps/DevOps Engineer specializing in cloud automation and ML pipelines
Staff Cloud Automation Engineer specializing in cloud infrastructure automation and SRE
Mid-Level Software Development Engineer specializing in AWS automation and release pipelines
Mid-level Cloud & DevOps Engineer specializing in cloud automation and Kubernetes security
Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech
Junior Software Engineer specializing in AI/ML and cloud-native systems
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Mid-level Software Development Engineer specializing in AWS cloud and full-stack web development
Mid-Level Java Full-Stack Developer specializing in Spring Boot, Angular, and AWS
Mid-level AI Software Engineer specializing in LLM agents and workflow orchestration
Junior Software Engineer specializing in cloud-native full-stack development
Mid-level Python Backend Developer specializing in cloud-native APIs and data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines