Senior Software Engineer II (Java Microservices)

What you will do:

• Execute the product vision, roadmap, and growth opportunities.
• Helps conduct market and competitive analysis, defines products to serve those needs, the addressable market, ability to penetrate and sell, and overall business justification and strategic fit for products.
• Help execute the value proposition and business case.
• Provides team leadership through communication and coordination of cross functional teams at all levels of the organization.
• Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components.
• Responsible for design of systems in the investment segment.
• Actively supports Product Manager in the Product Planning, business performance of one or more products.
• Engage with customers throughout the product lifecycle to better glean product insights.
• Understand requirements that comes from stakeholders and helps turn them into consumable backlog items for the team.
• Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
• Ensure the backlog is prioritized in order before the sprint.
• Coordinate with appropriate architects to ensure tech decisions are made and implemented. Also Identifying business process improvements and opportunities for automation.
• Work with the Product Manager and Engineering Leader to propose percentage of effort for different types of value in each release.
• Participates in technical and sales enablement.

What we are looking for:

• Bachelor’s Degree (or higher) in business or technical field.
• 8+ years of industry experience in the areas of data engineering and product management.
• Expertise in Java for backend development.
• Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
• Track record of Designing and developing data products or software products.
• Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must.
• Basic understanding of agile and scrum methodologies is a must.
• Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh
• Working knowledge of data ETL will be preferred.
• Experience with data visualization tools such as Tableau, Power BI etc.
• Ability to communicate with various stakeholders at all levels of the organization.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills and active listener.
• Able to set and meet time-sensitive goals.
• Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams.

AI Skills/Knowledge:

• AI-assisted development: Experience using tools such as GitHub Copilot and Cursor to support coding, code review, documentation, and test generation.
• LLM and agentic workflows: Familiarity with LLM APIs and agent-based workflows, with the ability to apply them thoughtfully in software engineering use cases.
• Responsible AI practices: Understanding of responsible AI principles, including bias mitigation, security considerations, explainability, and appropriate use of AI-generated outputs.

Preferred Skills (a plus but not required):

• Familiarity with frontend scripting languages such as Node.js and React.js
• Understanding of spark framework along with Snowflake and Databricks.
• Hands on Terraform will be advantageous.

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