Full Stack Engineer

The Workplace Investing Reporting & Insights Chapter team is looking for a full stack engineer to join our team to help deliver scalable web applications and AI (Artificial Intelligence) models into production. This role is a dynamic Agile engineering position where you will partner with your teammates on our development team and peer data scientists to assist with data analysis, reporting and research; conduct tactical data extracts and build balanced ETL data pipelines; deploy AI/ Machine learning models via RESTful APIs; and structure model output data and build reports to measure deployed model efficiency. If you have an inquisitive and consulting approach, excellent SQL skills, strong experience in building and deploying data movement solutions and/or data centric APIs and a passion for delivering innovative products and services that improve the lives of our customers, a career on the WI Analytics and Reporting squad could be for you!

• Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) required.
• 5+ years of proven experience in full stack engineering
• Consistent record of accomplishment of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following coding standard methodologies and DevOps practices
• Experience in design and development of enterprise-grade financial applications, using Java, Spring Boot, Angular, and RESTful APIs
• Proven expertise designing, developing, and integrating Java Web services using Spring Boot and Spring Security according to service-oriented and microservices architecture; and authenticating applications using Open Authorization (oAuth) and Spring MVC frameworks
• Extensive knowledge on Cloud Technologies and services on Amazon Web Services (AWS) and Microsoft Azure.
• Experience working with database technologies including Snowflake, Oracle and PostgreSQL.
• Knowledge on Kubernetes and Docker including AWS-EKS and Azure AKS.
• Experience with building reports in Power BI preferred
• Good Knowledge in Monitoring tools like, Splunk and Datadog.
• Strong analytical, technical, and problem-solving skills to understand complex customer needs and transactions
• Ability to learn and experiment with new technologies and patterns

The Skills You Bring

• Dedicated, highly motivated and a quick learner.
• Analytical approach- being confident in asking engaging questions to help tease out requirements details and technical implementation options often from more senior team members and customers.
• Excellent verbal and written communications skills.
• Ability to identify and convey significant partner insights through storytelling.
• You love working with data and are confident in your SQL and data movement skills.
• You are passionate about data and technology and have experience with or an interest in Analytics and Reporting.

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity's Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity's regional and investor center locations. Our mission is to help you experience Fidelity's diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity's long-term strategy.