We are seeking an experienced Application Engineer to join our reporting and analytics team who can architect scalable solutions lead complex technical initiatives and demonstrate strong ownership of critical systems. The ideal candidate will have a proven track record in designing and implementing large-scale distributed systems providing technical leadership mentoring junior engineers and collaborating cross-functionally to drive best practices in software development and operational excellence.
Key job responsibilities
* Design build and maintain complex technical initiatives from concept to delivery with a focus on performance reliability and scalability
* Lead technical decision-making and provide architectural guidance including developing technical strategies making key design decisions and establishing best practices for the team.
* Demonstrate strong ownership by identifying and resolving complex technical problems across multiple layers of the stack ensuring high availability and performance of critical services.
* Drive operational excellence through implementation of robust testing frameworks monitoring solutions and maintenance of high code quality standards.
* Provide technical leadership and mentorship to team members fostering a culture of engineering excellence and supporting the professional development of junior engineers.
* Collaborate effectively across functions with product managers engineering teams and stakeholders to drive alignment on technical decisions and deliver solutions that meet business requirements.
* Bachelors degree in Computer Science Software Engineering or a related field
* 5 years of professional software development experience
* Strong proficiency in one or more programming languages (e.g. Java Python C JavaScript)
* Experience with web technologies and frameworks (e.g. React Angular )
* Familiarity with database systems and SQL
* Knowledge of software design patterns and architectural principles
* Experience with version control systems (e.g. Git)
* Understanding of Agile methodologies and software development life cycle
* Knowledge of building AI tools
* Knowledge of distributed applications and enterprise applications
* Knowledge of UNIX/Linux operating systems
* Experience analyzing and troubleshooting RESTful web API calls
* Experience working in AWS ecosystem leveraging AWS services
* Experience with microservices architecture
* Proficiency in DevOps practices and tools (e.g. CI/CD pipelines Jenkins Ansible)
* Familiarity with security best practices and compliance standards
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