Come join the Data Exchange group as a Software Engineer.
You will be developing high volume tools and services that are part of Data Acquisition Platform. Our Backend teams are responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products. You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by both internal and external customers.
Responsibilities:
Identify, design and build tools that are focused on tooling work and observability work, ensuring high availability, scalability, and performance of our production systems.
Ensure the highest standards for engineering design, implementation and testing
Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for
Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
Be the first level of support and handle incidents, production issues, and alerts.
Investigate production issues and provide valuable insights to the core teams.
Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms
Pursue and resolve complex or unchartered technical problems and share key learnings
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Stay aware of industry trends and make technology choices and strategic decisions
Mentor engineers on technology, process, people, and product skills
You will be developing high volume tools and services that are part of Data Acquisition Platform. Our Backend teams are responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products. You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by both internal and external customers.
Responsibilities:
Identify, design and build tools that are focused on tooling work and observability work, ensuring high availability, scalability, and performance of our production systems.
Ensure the highest standards for engineering design, implementation and testing
Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for
Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
Be the first level of support and handle incidents, production issues, and alerts.
Investigate production issues and provide valuable insights to the core teams.
Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms
Pursue and resolve complex or unchartered technical problems and share key learnings
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Stay aware of industry trends and make technology choices and strategic decisions
Mentor engineers on technology, process, people, and product skills
Requirements:
Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
10+ years of experience developing systems/software for large business environments.
8+ years of experience designing complex distributed systems, management products, or business applications.
Development experience with AI technologies/tools and apply it to user experiences or backend solutions.
Experience with AI technologies like SageMaker, LangChain, Large Language Models.
Experience with Java, Spring and k8s.
Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
Prior experience working in teams that have built AI native applications for 1+ years
BS/MS in Computer Science or related area.
Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
10+ years of experience developing systems/software for large business environments.
8+ years of experience designing complex distributed systems, management products, or business applications.
Development experience with AI technologies/tools and apply it to user experiences or backend solutions.
Experience with AI technologies like SageMaker, LangChain, Large Language Models.
Experience with Java, Spring and k8s.
Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
Prior experience working in teams that have built AI native applications for 1+ years
BS/MS in Computer Science or related area.
This position is open to all candidates.
