Java Dev (AWS, Microservices, Spring Boot) IV

Job Description

Job Description

Job Description : Responsibilities :

Creation, management and operation of a diverse set of Dev-Ops-related tools, processes, paradigms and technologies that enable the creation and ongoing operation of the Signify IoT Platform.

Focus on the creation of horizontal tools, technologies and best-practices that enable and support all the IoT Platform engineering teams to build, debug, test, release, manage and secure the IoT Platforms modern, microservices-based cloud infrastructure.

Collaborate in defining the methodologies and ways-of-working that will enable our fast-paced engineering teams to flourish as we collectively build-out the IoT Platform. You will help promote and implement best practices and supporting tools / technologies for source control management, CI and CD architectures, performance, SLAs, security, audit and monitoring that will be used by every engineer within the IoT Platform organization.

Define common frameworks and software libraries, in various programming languages, that support the creation of efficient, scalable and highly available microservice-based architectures.

Support with the management of the running IoT Platform system architecture. You will troubleshoot issues and identify areas for continuous improvement with a particular emphasis on quality, performance and security.

Work closely with architects and technical product managers and other members of your team to translate overall system architecture and product requirements into well-designed, implemented and tested software solutions.

Work in an Agile environment to deliver high-quality software in an incremental manner.

Help promote the adoption of best-in-class software engineering practices, frameworks, and tools. You are providing guidance and feedback to other software developers.

Experience :

B.Sc. in Computer Science or related Engineering is required, a Masters degree is desirable

8+ years of proven, hands-on track-record as a software engineer, focused on cloud-based systems

Mastery of a variety of programming languages at least Java, Python, but knowledge of Golang or JavaScript (NodeJS) are desirable. You must have strong Java Development skills, preferably with Ver. 1.8

Proven track record developing cloud-based services (SaaS) and platforms (PaaS)

Proven hands-on in-depth experience of AWS is required, both in terms of traditional technologies (e.g. EC2, S3, DynamoDB, RDS, ) as well as more recent cutting-edge paradigms (e.g. Lambda, API Gateway, Fargate, ).

Proven experience of developing microservices and complex microservice-based platform architectures

Excellent understanding of distributed systems, designing for scalability, performance and availability

Experience of establishing non-functional best-practices and deploying supporting technologies for improving platform security (including audit) and reliability (latency, availability, scalability)

Knowledge of distributed network architectures and network security is required

Good knowledge of data persistence technologies including relational databases and no-SQL solutions

Excellent interpersonal and technical communication with peers, and non-peers alike, with a can-do attitude

3+ years in teams applying modern agile software development practices #LI-FM

Java Dev (AWS, Microservices, Spring Boot) IV (Contractor) (Open)

Contractor Work Location : PAP22 - PA - Philadelphia, 1701 John F Kennedy Blvd

Development of migration and Data warehousing components in the Data Engineering team in support of Salesforce Phase 2

Areas of work : The Senior Data Engineer will focus on high-impact activities to drive the Salesforce Phase 2 forward and support long-term success of the project. Primary responsibilities and areas of work includes : Development of ETL jobs bringing Data into Databricks, Data Migration and Integration between Salesforce and Databricks and Pipeline development (Mulesoft work), Documentation, Testing and Quality Assurance, Post-Delivery Support, Risk Mitigation / address SPOF. Work with the team to understand requirements and turn them into working data pipelines. Build, test, and maintain pipelines on AWS + Databricks. Use Terraform to spin up and manage infrastructure. Set up and run CI / CD pipelines (Concourse or GitHub Actions) so our deployments are smooth and repeatable. Troubleshoot issues, fix things quickly, and keep pipelines running reliably. Collaborate with other engineers to share knowledge and improve best practices.