Staff Engineer - Java / AWS, Zelle

About the role

Engineering at Early Warning (EWS) is a blend of teams organized around many different platforms, capabilities and products that are brought together to power core capabilities at the biggest banks in America – this includes ubiquitous products like Zelle and Paze. These capabilities are typically provided behind a customer-facing API or integration point which enables the EWS teams to innovate aggressively where big wins can be found. The teams aligned behind these efforts drive their own innovation in partnership with stakeholders.

Responsibilities

• Ensures that platform architecture meets our growth, monitoring and alerting goals.
• Leads deep, complex, and high-risk technical projects, and control the communication around them.
• Collaborates with stakeholders and makes the right trade off decisions.
• Mentors junior team members with guidance around techniques, tools, and best practices.
• Stay current with industry trends and innovations through continuing education, company provided training and proof of concepts.
• Designs and develops features and capabilities to enhance the Early Warning core product offerings.
• Managing source code using Git.
• Querying platform data using SQL-based DBs.
• Working on complex Java Web Services using Spring Boot.
• Tracking sprint work in Jira and documenting complex details and decisions in Confluence.
• Building automated tests alongside sprint work that is integrated into the CI/CD pipeline.
• Submitting pull requests and integrating review feedback from others on the team.
• Able to troubleshoot complex bugs that may arise during development.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Qualifications

• Education and/or experience typically obtained through completion of a bachelor’s degree in Computer Science, Computer Science Engineering, Computer Information Systems, Electrical Engineering or related field.
• 10 or more years of related industry experience.
• Advanced proficiency in Java.
• Very good debugging, troubleshooting and low-level optimizations skills.
• Proficient with Git source control.
• Familiarity writing automated tests.
• Advanced Proficiency with SQL.
• Advanced Proficiency in RESTful service design.
• Excellent verbal, written and interpersonal skills.
• Able to collaborate with stakeholders and make the right trade off decisions.
• Able to use critical thinking skills and leverage relationships to influence decisions.

Skills

• Spring / Spring Boot framework is beneficial.
• Strong understanding of Event-based programming.
• Experience with AWS Cloud such as Postgres, Dynamo DB, Kinesis, Flink, SNS and/or SQS.
• Experience with REST or SOAP services.
• Familiar working with common data format standards like XML, JSON YAML, etc.
• Experience with Kafka.
• Experience with Docker/Kubernetes.
• FinTech experience is highly beneficial, especially with ISO20022 Physical Requirements

Benefits

Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers).

The Base Pay Scale For This Position In Phoenix, AZ in USD per year is: $145,000 - $186,000. San Francisco, CA in USD per year is: $143,640 - $223,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits. This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.