Java Full Stack - Active Security Clearance

Job Description

Are you a Full Stack Developer with extensive azure experience working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up?

Imagine working to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team.

Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

We are looking for Engineers who can:

● Write applications in Java using Object Oriented Design Principles

● Has extensive experience with Azure (Certified preferred)

● Enterprise-scale technical experience with Azure AI Services including Azure

OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or

equivalent), Generative AI, Natural Language Processing (NLP), Search

● Azure Application Development or support experiences with Azure PaaS

services (Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Mobile

Apps, etc.)

● Deep Understanding of cloud computing technologies across Windows and Linux,

with demonstrated hands-on experience in one or more of the following domains:

● Azure Core Platform: Compute, Storage, Networking

● Data Platform: SQL Server, Azure SQL DB, Azure Data Factory

● Application development & debugging experience: C/C++/C#, Python, Node.JS, etc.

● Create Java Spring Boot REST Services

● Use Java Streams API to work with real-time data

● Create a Java Thread Executor Pool to read & write from a Thread-safe queue

● Use Java Lambdas for use in Collections

● Create Distributed Cloud Configuration with Spring Cloud

● Create Circuit Breakers with Spring Cloud

● Create a Database Integration via Hibernate or Spring Data

● Optimize business logic & SQL queries to enhance performance by 50+%

● Setup Kafka to support 10mm messages/hr throughput on 2KB payloads

● Build Services that are Highly Available (Multi-AZ & Multi-Region)

● Build Algorithms to Optimize Execution times and reduce end-to-end latency

● Use and tweak Terraform Scripts to deploy Kubernetes Clusters with EKS

● Navigate & debug Java Apps on a Linux EC2 Instance

Requirements

We work closely with

● Java 8

● Azure

● REST-based Microservices

● Hibernate ORM

● Relational Databases

● AWS

● Kafka

● Linux / Unix