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Vetted Azure Kubernetes Service Professionals
Pre-screened and vetted.
Mid-level Cloud & DevOps Engineer specializing in AWS/Azure and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Senior Backend Engineer specializing in cloud-native distributed systems
Mid-Level Backend Software Engineer specializing in cloud-native microservices and healthcare interoperability
Senior Machine Learning Software Engineer specializing in Azure enterprise AI
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Senior Azure DevOps / SRE Engineer specializing in cloud infrastructure automation
Staff AI/ML Engineer specializing in backend platforms and LLM systems
Executive infrastructure and security leader specializing in multi-cloud enterprise architecture
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Sai Krishna mekala
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”
bharath burgoju
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Mid-level Cloud DevOps Engineer specializing in Kubernetes, CI/CD, and IaC
Director-level Software Engineering leader specializing in Microsoft cloud and SaaS platforms
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT