Pre-screened and vetted.
Senior Site Reliability Engineer specializing in cloud observability and incident response
“Backend engineer experienced in evolving high-scale legacy on-prem systems into cloud-native, event-driven microservices on AWS/Kubernetes (noted peak traffic ~1.5M QPS). Strong focus on reliability engineering and operational excellence—SLO-driven observability, GitOps/canary rollouts, chaos testing, and preventing cascading failures (e.g., retry-storm mitigation).”
Mid-level Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
“Backend/infra-focused engineer who owned production systems for distributed ML experimentation (hyperparameter tuning across a cluster with GPU scaling, custom scheduling, and checkpoint-based fault tolerance). Also built and operated a low-latency log validation service using queued async workflows with idempotency, retries/backoff, and strong observability, plus experience building resilient Selenium-based browser automations for complex multi-step web flows.”
Senior Engineering Manager specializing in distributed systems and Kubernetes
“India-based engineering leader/player-coach managing ~20 people and three products, while still shipping hands-on in Python/Golang across 8–10 microservices deployed on GCP (Kubernetes) and AWS (ECS). Has led end-to-end delivery (design through QA) and owned production reliability improvements (including building a Slack alerting bot). Strong domain exposure in utilities (MDM/meter readings, billing/rate calculations) and financial integrations (GL code tagging), plus side projects in Golang around LLM API cost-optimization.”
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
“Backend/platform engineer in fintech/payments (NexaBank/NextBank/Nexon Bank) who has built Kafka-orchestrated Java/Spring Boot microservices around a PostgreSQL double-entry ledger. Led production-critical reliability work preventing duplicate payment postings via idempotency and offset sequencing fixes, and shipped real-time ML fraud scoring (Python model API + Redis caching) with rigorous evaluation/monitoring (Prometheus) and workflow automation for dispute resolution.”
Mid-level Software Engineer specializing in full-stack and machine learning systems
“Full-stack product engineer who led system design and backend/cloud architecture for a senior-living platform spanning an Android kiosk and admin web portal. They combine Azure microservices expertise with strong accessibility instincts, and their UI/UX improvements for seniors and wheelchair users reportedly helped drive 21% revenue growth and a new customer through word of mouth.”
Senior DevOps & Cloud Platform Engineer specializing in SRE and multi-cloud Kubernetes
Mid-level Software Developer specializing in cloud-native automation and data pipelines
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Director-level Cloud & DevOps leader specializing in AWS infrastructure and security
Mid-level Cloud Engineer specializing in AWS, Kubernetes, and Terraform automation
Mid-level Security Engineer specializing in AppSec, Cloud Security, and DevSecOps
Junior Software Engineer specializing in backend, cloud-native systems, and automation
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native platforms, microservices, and AI/ML systems
Senior Software Engineer specializing in cloud-native backend systems for industrial automation
Mid-Level Software Engineer specializing in Java microservices, cloud, and AI for payments
Junior Software Engineer specializing in full-stack, cloud DevOps, and AI applications
Entry-Level Machine Learning Engineer specializing in Generative AI and RAG systems