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Build and optimize Go microservices that integrate adtech partners, process 5.5B daily API requests, and serve ML-driven ad decisions under 100ms latency.
Salary: Competitive Salary + Medical Insurance iPayroll is extremely proud to be a pioneer in cloud-based payroll solutions in New Zealand. With the advancement of technology, many things have changed over the years,…
Backend engineer building AI services and APIs in Python/Node.js, designing databases, and deploying on cloud with Docker/Kubernetes.
Builds full-stack cybersecurity tools and AI-powered solutions using cloud platforms (AWS/Azure/GCP), modern frameworks, and secure development practices.
Senior consultant building and deploying AI-enabled cybersecurity solutions for clients, leading engineering teams, and shaping technical proposals with hands-on full-stack development.
Build backend systems to ensure Reddit’s platform meets evolving compliance and regulatory requirements, using Go, Python, Postgres, Redis, and AWS.
Develops full-stack web applications using Vue.js, Java/C#, and databases like MySQL/Redis, deploying to Linux and troubleshooting production issues.
Build and maintain Mercari’s Experimentation Platform and Feature Flags systems, enabling A/B tests and safe feature rollouts while optimizing cloud costs and scaling for 10x load.
Build and operate scalable streaming platforms using GCP/GKE and AWS, focusing on agentic infrastructure, platform engineering, and SRE best practices to automate and secure media services.
Build and scale Visa’s Java-based payment systems, integrating GenAI tools and LLM APIs to enhance backend services and developer workflows.
Build and maintain high-traffic SaaS systems for job boards using PHP, React, TypeScript, and microservices, while modernizing legacy platforms and mentoring engineers.
Build and maintain fintech applications using .NET, React, and TypeScript, contributing to scalable financial solutions for clients and internal teams.
Lead the design and implementation of low-latency, high-concurrency data pipelines and streaming platforms (Apache Flink, Redis) for Citi’s Fixed Income trading systems, coaching engineers and driving cloud-native microservices in Java/Python.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Build cloud-native backend services for the auto industry using Node.js, TypeScript, Kafka, and microservices; own scalable APIs, databases, and cloud infrastructure.
Build and scale a SaaS fleet-tracking platform in Ruby on Rails, working across backend, APIs, and Angular frontend to support real-time GPS and AI dash-cam data.
Lead Platform Engineer building and scaling a GraphQL platform on AWS and Kubernetes, automating CI/CD, and driving observability and developer experience for multiple teams.
Lead a team building and scaling a secure, AI-driven KYC and risk data platform using Python/Java, Databricks, Spark, and cloud-native tools to support JPMorganChase’s global operations.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Design and build scalable cloud-native data pipelines for high-volume geospatial and environmental datasets, including satellite imagery and radar, using Java, Spring Boot, and AWS.
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