Technical Lead - Remote

Introduction

Symphony

AI, Microsoft 2024 Partner of the Year Winner, is breaking new ground in enterprise AI using our unique technology and packaged solutions that combine best in class unsupervised and supervised techniques with intuitive UIs to solve the hardest problems across the financial services spectrum. The immediate focus is on Financial Crime (Anti Money Laundering, Fraud, Cyber and Surveillance) and Growth and Profitability (Credit Risk, Liquidity and Customer Insights).

We are looking for a dynamic Technical Lead to join our team remotely in the US.

The Technical Lead will be focused on the transformation of customer IT divisions into world‑class users of our enterprise software solutions. As a member of the Client Engagement Team, the Lead Technical Consultant serves as a technical solutions expert on technical integration and installations. They will be responsible for effectively applying the Symphony

AI integration process to meet customer needs within the realm and scope of the Statement of Work (SOW). The Lead Technical Consultant can work on all aspects of the deployment process including technical requirements gathering, managing the technical client relationship, supporting the integration, design, and testing, coordinating technical resources, and supporting product installs. The Lead Technical Consultant will be a client‑focused technical and functional expert and lead and mentor a team of Technical Consultants to achieve customer success.

• Deploying and integrating enterprise SaaS solutions including:
  • Configuration of the software and supporting applications
  • Design and development of custom extensions, to provide required integrations or functionality
  • Responding to and leading resolution of technical issues
  • Adhering to and enhancing software development approaches and methodologies
• Ability to self‑manage in delivering high quality work product to meet project expectations within deadlines.
• Going beyond routine questioning to find the underlying causes of problems or discrepancies to identify problems and develop sound solutions.
• Tracking and reporting development progress to Team lead.
• Ability to work with other members of teams in a collaborative manner.
• Lead a stream of technical work under the direction of a solution architect or project manager.

• Bachelor’s degree (or equivalent) from a recognized university in Computer Science, Engineering, Information Technology, Physics, Mathematics or Statistics or closely related field.
• 3+ years’ professional experience as a strong individual contributor in a team in enterprise‑wide software deliveries using an SDLC delivery framework (Waterfall or Agile).
• Hands on experience in the following:
  • Ability to provide hands‑on support to test team during QA cycles.
  • Excellent analytical and problem‑solving skills.
  • Excellent communication skills and interpersonal skills.
  • Willingness to travel when necessary to meet client needs.
  • Languages: Java, Python, Scala (working knowledge of at least 1 is required. Other OOP languages may be considered)
  • Databases: Oracle, Postgre
    
    SQL (Strong knowledge of SQL concepts in 1 is a must. Other DBMS such SQL Server, MySQL, or DB2 may be considered)
  • Web Technologies: Working knowledge of 3 tier web application.
  • Scripting: Linux/Windows shell scripting (must be comfortable working in Linux environment).
  • Containerization: knowledge of Docker, Kubernetes, Helm charts.
  • Source Control Tools: SVN, GIT or equivalent.

• Experience in financial services insurance industry such as Banks, Payments, MSB, Clearinghouse, Insurance.
• Knowledge of CI/CD Tools or Dev Ops Pipelines.
• J2EE Application Servers: JBoss EAP, IBM Web Sphere (familiarity in at least 1 is required).
• Messaging and Streams: JMS and Kafka.
• Cloud providers: AWS, Azure.
• Containerization: experience of deploying on Kubernetes preferable on Azure (AKS) or Open Shift.
• Experience with XSLT, XML, or JavaScript.
• Data Analytics/Mining: Using SAS, R, Python - Experience handling, processing, and analyzing large data sources. Knowledge of statistics and predictive modelling.
• Database design.
• Any…