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Software Engineer (Platform Enablement Group) - Fidelity Resume Program
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About the position
Overview Making a decision to return to work can be exciting and scary all at the same time. We get it 100% - many of us at reacHIRE are returners, too!! And, we believe meaningful relationships formed along the way back to work should be built on communication and trust. Which is why our team of Program Managers are here to listen to your unique story and help you take the best next steps toward your next opportunity. We are excited to partner with Fidelity Investments for a 6-month return-to-work program starting in May 2026. If you are a professional returning to work after a 2+ year career break or worked in part time or independent contractor roles, this could be the perfect opportunity! reacHIRE is invested in helping professionals return with confidence; providing the resources and support needed via Program Managers who will help guide and navigate the entire process alongside you. We know the confidence gap and imposter syndrome can get in the way of meeting amazing Returners, so please don’t hesitate to apply - we’d love to hear from you. Please note that this is a hybrid role and we are unable to consider candidates who would need to relocate for the program. Responsibilities Overview If you are an experienced Software Engineering leader with a passion for designing and delivering big data solutions using cutting edge technologies, looking for a collaborative team environment where you will have wealth of opportunities to innovate and learn, a career in Application and Platform Enablement (APE) in Enterprise Technology may be right for you! The Application and Platform Enablement (APE) group within Fidelity’s Enterprise Technology organization is seeking a Senior Software Engineer to build and maintain large scale event driven platforms. In this role, you will apply a variety of technologies to develop innovative big data solutions. This position is a critical element to delivering Fidelity’s promise of creating the best customer experiences in financial services. The Application and Platform Enablement (APE) team within the Enterprise Data & Artificial Intelligence business unit is responsible for assisting in the governance, design and delivery of applications utilizing the Event Streaming and Message Queueing platforms. Our vision is to enhance and streamline the onboarding experience while ensuring the highest quality of application readiness for our users.
Responsibilities
Solution design, solving key technical challenges, and mentoring the team.
Building and supporting mission critical applications focused around integrating messaging systems in order to provide the best customer experience
Exploring new technology trends and leveraging them to simplify our data ecosystem
Driving Innovation and leading the team to implement solutions with future thinking
Collaborating with internal and external teams to deliver technology solutions for the business needs
Guiding teams to improve development agility and productivity
Resolving technical roadblocks to the team and mitigating potential risks
Delivering system automation by setting up continuous integration/continuous delivery pipelines
Requirements
Bachelor's or master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
Proven experience in building and maintaining data capabilities and APIs at scale
Strong understanding of microservices architecture
Experience in building large-scale software platforms
5+ years of experience in software design and development
2+ years of experience in implementing big data solutions in data analytics space
2+ years of experience in developing big data applications in Cloud (AWS, Azure, Google Cloud)
Extensive experience in Object Oriented Programming (Java, Scala, Python), Messaging Technologies (Kafka, Kinesis, SNS, SQS, ActiveMQ), Relational and NoSQL databases (DynamoDB, Elastic search, Graph DB), Stream Processing (Flink, Kinesis Analytics, Spark), data movement technologies (ETL/ELT), REST APIs and in-memory technologies.
Strong knowledge of developing highly scalable distributed systems using AWS services and open-source technologies.
Experience in deploying Machine Learning models with reinforcement learning in highly scalable environments.
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Strong technical design and analysis skill
Ability to deal with ambiguity and work in fast paced environment
Ability to think out of box and design end-to-end solutions
Passion and intellectually curiosity to learn new technologies and business areas
Deep experience supporting mission critical applications quickly
Excellent communication skills, both through written and verbal channels
Excellent collaboration skills to work with multiple teams in the organization
Ability to understand and adapt to changing business priorities and technology advancements
Strong knowledge and technology trends in implementing of Big data ecosystem