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Vetted Apache Maven Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in distributed systems and event-driven microservices
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices
Mid-level Software Engineer specializing in secure full-stack microservices
Mid-level Full-Stack Software Engineer specializing in healthcare and enterprise web applications
Senior Full-Stack Software Engineer specializing in healthcare and e-commerce platforms
Senior Software Engineer specializing in full-stack cloud-native enterprise systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Alexis Abbott
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Shubh Dholakiya
Mid-Level Full-Stack Software Developer specializing in Java/Spring microservices and cloud
“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”