Salary
💰 $120,000 - $135,000 per year
Tech Stack
AngularApacheASP.NETAWSAzureCassandraCloudDockerDynamoDBEC2Entity FrameworkETLJ2EEJavaJavaScriptJenkinsKafkaKubernetesMavenMicroservices.NETNoSQLOpenShiftPythonRDBMSReactSparkSpringSpring BootSpringBootSQLVue.jsZookeeper
About the role
- The Full Stack .NET Software Engineer is focused on the complete design and development of web and cloud technologies to support an exciting and growing agile digital business.
- This individual will define web and cloud strategies, grow capabilities, and develop enterprise-wide solutions by providing technology leadership, insight on new developments within the application solution space, and provides guidance in design, framework, and platform decisions.
- This individual will be comfortable working directly with third party vendors and collaborating on building joint integrations.
- This role will have a heavy focus on APIs.
- Job Description Responsibilities: Analyze complex architectural design across platforms toward the development of end-to-end solutions; translate architectural guidance into detailed technical design.
- Work collaboratively with other development staff, including contract and offshore Software Engineers, and business product owners in an agile environment.
- Code, test, identify, implement, and document solutions to business challenges utilizing web and cloud technologies.
- Perform design and analysis for deliverables. Participate in design sessions.
- Serve as a subject matter expert for a wide range of areas, applications, and technologies.
- Recommend solutions which take into consideration costs, business needs, and system impacts.
- Utilize third-party software development frameworks, open-source libraries, and APIs to rapidly develop application solutions and integrations.
- Work directly with external third party vendors.
- Learn and keep pace with the latest advances in the field and rapidly grasp new technologies to support the environment and contribute to project deliverables.
- Prepare presentations and lead development meetings.
Requirements
- Five years of .NET experience
- Expertise in coding platforms/frameworks (e.g. .NET/C#, JAVA, OOD, OOP, Functional Programming, Spring Framework, J2EE Development, OOP, Service Oriented Architecture, Dependency Injection, and Core Architecture)
- Three years of experience and expertise in database design techniques and philosophies (e.g. RDBMS, Document, Star Schema, Kimball Model)
- Understanding of NoSQL database technologies (e.g. MS Cosmos DB, Apache Cassandra, Amazon DynamoDB)
- One year of development experience with cloud services (e.g. AWS/Azure) utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event Hubs)
- Experience with build and deployment tools - (Visual Studio, Git/Bitbucket, Maven, Jenkins, Nexus, SQL Management Studio, Nunit, Ajax)
- Experience in developing distributed computing (MS HPC, Sagemaker, Spark)
- Three years of experience with integration and service frameworks (e.g. API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices)
- Experience with Microservices and REST based API development (e.g. Spring Boot, Spring MVC, Entity Framework, IIS, Swagger, Odata, .NET API 2, .NET API Core, AutoMapper)
- Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a Ci/CD pipeline
- Familiarity with modern frontend development frameworks (Angular, React, Vue.js, ASP.NET MVC, HTTP, HTML, JS, CSS, Ajax)
- Advanced understanding of software development and research tools
- Attention to detail and results oriented, with a strong customer focus
- Ability to work as part of a team and independently
- Analytical and problem-solving skills
- Technical communication skills
- Problem-solving and technical communication skills
- Ability to prioritize workload to meet tight deadlines
Preferred Qualifications:
- Master\'s degree
- Understanding of advanced analytics and machine learning concepts and technology implementations
- Understanding of big data and real time streaming analytics processing architecture
- Understanding of data warehousing architecture and implementation, including source to target mappings and ETL
- Technology or platform certifications (e.g. AWS, Microsoft)
- Knowledge of the financial services industry