Lead Software Engineer - Java & Python (Asset & Wealth Management - Marketing)
Lead Software Engineer - Java & Python (Asset & Wealth Management - Marketing)
Posted 3 days ago
SENIORITY
Lead
About the role
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Lead a team of high-potential software engineers, delivering high quality software that achieves functional objectives.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes.
- Oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
- Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement.
- Implement data governance and best practices to ensure data quality and compliance with organizational standards.
- Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 5+ years of applied experience.
- Proficient in development skill Java 21 and Python building into the public and private cloud in CI/CD strategies.
- Hands on practical experience delivering system design, application development, testing, and operational stability.
- Proficiency in automation and continuous delivery methods.
- Experience in Spring Boot, Kafka, Kubernetes, Splunk, Dynatrace.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).In-depth knowledge of the financial services industry and their IT systems.
- Practical cloud native experience.
- Exposure to building AI/ML driven applications to drive business goals.
- Track record of Continuous learning mindset.
- Preferred Qualifications, Capabilities, and Skills:
- Experience with AWS public cloud.
- Proficiency in Agile and SRE culture.
- Working knowledge of one or more NoSQL database technologies, preferably Apache Cassandra.
- Working knowledge of one or more Messaging technologies, preferably Apache Kafka.
- Develop RESTful APIs and ensure smooth integration across internal and external services.
Before you apply
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Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
