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Software Engineer (Full Stack) - Remote - Lansing Michigan
Company: GovCIO Location: Lansing, Michigan
Posted On: 04/26/2024
, NextFlow) Design and implement data pipelines for hybrid ecosystem Design and implement recovery and restart capabilities for applications and batch genome analysis pipelines Design effective test strategy and enable automation techniques Test and enhance software to ensure high performance, minimal latency, increased throughput, responsiveness and efficiency Troubleshoot, debug and upgrade software Implement effective application security and privacy mechanism including Authentication, Authorization, and Access control Write design specs, technical documentation and user guides Work with Data Scientists, Analysts and Researchers to create genomic analysis pipelines executing on different types of infrastructure in on-premises and cloud (Azure, AWS) environments with high quality, performance and scalability Qualifications Bachelor's degree in computer science, with 12+ years (or commensurate experience) Required Skills and Experience -
Knowledge of Software Development Lifecycle, distributed systems architecture, multi-tenanted application systems, architecture frameworks and agile methodologies (i.e. Scrum) -
Architecture, design and programming experience of web front-end including web servers (e.g. Apache) and UI / UX development using frameworks and / or native mode -
Extensive design and programming experience of back end, API and middleware systems -
Design and programming experience of Data systems (RDBMS-SQL, No SQL, Objects and files), Data access layer and databases (e.g. MySQL, SQL server, MongoDB) -
Design of caching systems for high performance -
Design and programming experience of microservices and service-oriented solutions -
Extensive experience in application isolation, data segregation, coarse grain, and fine grain security implementations -
Working knowledge of AAA (Authentication, Authorization and Access Control) services and tools -
Extensive working experience of loosely coupled systems and service integration via REST API's -
Experience in data design, data access in the context of application systems for PB of data and data lifecycle management including data partitioning, sharding, replication enablement of ACID properties and immediate consistency implementation -
Working experience of containers (i.e. Docker, Singularity) -
Good working knowledge of Cloud (Azure, AWS) and ability to program and deploy applications to multi ecosystem (i.e. on-premises, Azure, AWS) incorporating the concept of write-once and deploy anywhere -
In-depth knowledge and experience in deploying containerized applications using Kubernetes cluster or similar mechanism (i.e. OpenShift) with knowledge of nodes, pods and auto-scaling clusters. -
Cloud native application design and development skills -
Working experience in various application architecture constructs (pipeline, distributed, client-server, micro-services, cloud computing, hybrid cloud, web app, data access layer, event-driven, FaaS, and API-based) -
Knowledge of implementing System monitoring, metrics, and logging techniques in applications -
Working experience with High Performance Computing (HPC) is a plus -
Knowledge of CI/CD/CD techniques and tools such as Jenkins, GitLab, Atlassian and Containers such as Docker and repositories such as GitHub -
Working knowledge of highly available scalable application design in on-premises and in cloud (AWS, Azure) with multi-AZ, cross-region, and distributed data -
Knowledge of pipeline architecture and application development in healthcare and / or genomics industry -
In-depth knowledge of application development in on-premises and native cloud environments, cloud services and on-premises & cloud infrastructure (VPC, N/W, IAM, DB, K8 clusters, autoscaling, multi-zone, multi-region) and cloud migration methods with Quality First mindset -
Experience in design for distributed systems, distributed data, parallel processing, recovery, and restart techniques -
Knowledge of automation techniques and a mind-set of Automation First -
Knowledge of algorithms for search optimization, efficient DB modeling, optimized data access etc., -
Hands-on coding experience -
Knowledge of multiple front-end languages and libraries (e.g. HTML/CSS. JavaScript, XML, jQuery) -
Knowledge of multiple back-end languages (e.g. Python), scripting and frameworks (e.g. Angular, React, Vue, Django, Flask, Node.js) -
Good communication and inter-personal skills Preferred Skills and Experience |
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