Senior Site Reliability Engineer at LexisNexis working on cloud data applications and microservices. Collaborating within teams to enhance system reliability and automate recovery processes.
Responsibilities
Design, modify, develop, write, and implement data applications and REST APIs in cloud.
Develop microservices or middleware APIs under a micro-service styled architecture.
Fix issues in the existing systems by using the industry standard coding practices.
Interface with other technical personnel or team members to finalize requirements.
Write and review portions of detailed specifications for the development of complex system components.
Implement DevOps strategy in existing and new project.
Upgrade and enhance existing C++ applications to enterprise Java.
Work closely with other development team members to understand complex product requirements and translate them into software designs.
Successfully implement development processes, coding best practices, and code reviews.
Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
Resolve complex technical issues, as necessary.
Keep abreast of new technology developments.
Design and work with complex data models.
All other duties as assigned.
Requirements
At least 7/8+ years of experience of software development programming with enterprise Java
Proficiency in Java programming with Spring Framework
At least 3 years of experience with Microservices asynchronous event driven programming or event messaging programming under a pub/sub model.
Strong secure coding and system vulnerability mitigation experience.
Strong experience in AI-assisted software development.
Strong knowledge of Docker containers, Docker CLI and strong practical knowledge of Kubernetes and Kubernetes CLI is desired
Expertise in other development languages including but not limited to PowerShell, Python, and SQL is desired.
Strong knowledge of multiple data storage subsystems, especially relational databases including MySQL, Sybase, PostgreSQL, and/or Oracle.
Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).
Strong proficiency with data manipulation language including optimization techniques.
Strong understanding of normalized/dimensional data modeling principles.
Strong research skills.
Strong proficiency with DevOps and Continuous Integration/Delivery tools and Linux bash scripting is desired: Gitlab, GitHub Actions, Ansible, Linux Bash scripting.
Strong experience working with one of the 2 major Cloud vendors (AWS, Azure) and/or a strong foundational understanding of Microsoft Azure Cloud IaaS and PaaS services offerings is desired: (I.E Azure VMs, Azure App Services, Azure Container instances, Azure Storage Accounts, Azure Database for MySql, etc.)
Good to have Azure/AWS fundamental and/or developer certifications.
Experience with Azure Cloud services in particular running containerized workloads in Azure Kubernetes Services is a big plus.
Ability to interface competently with other technical personnel or team members to finalize requirements.
Ability to work well with internal and external technology resources.
Ability to partner and lead internal and external technology resources in solving complex business needs.
Knowledge of test-driven development and unit testing frameworks/methodologies.
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