Java Lead

Uplers; Bhopal; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

An innovative software company based in Bhopal is seeking a Java Lead with extensive experience in data engineering and product management. The ideal candidate will have a strong background in Java and Spring Boot, significant leadership abilities, and a keen understanding of agile methodologies. This role involves defining product strategy, guiding cross-functional teams, and engaging with stakeholders to drive product success.

Qualifications

• 8+ years of industry experience in data engineering and product management.
• Expertise in one or more programming languages (Java, Spring Boot).
• Experience designing and developing data products or software products.

Responsibilities

• Execute the product vision, roadmap, and growth opportunities.
• Lead architecture for components in an investment segment.
• Write clear, compelling user epics and stories.

Skills

Java

Spring Boot

Data Engineering

Agile methodologies

Communication skills

Education

Bachelor's Degree (or higher) in business or technical field

Tools

Mongo Atlas

Docker

Kubernetes

Tableau

Power BI

Job description

Job Title: Java Lead

Department: R&D

Reports To: Manager, Software Development

Location: India

The role will be responsible for translating product strategy and business priorities into a coherent set of features for one or more scrum teams. Take on multiple roles including product owner, business strategist, product designer, market analyst, customer liaison, QA, and project manager. Key member of the team strategizing and presenting the future vision of the product to business and technology stakeholders in collaboration with the Product Manager

Responsibilities and Duties:

Strategy and Business: 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.

Operations: 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.

Requirements and Qualifications:

• 8+ years of industry experience in the areas of data engineering and product management.
• Expertise in one or more programming languages (Java, spring boot, ).
• Bachelor’s Degree (or higher) in business or technical field.
• Track record of Designing and developing of data products or software products.
• Expertise in Java for backend development; familiarity with frontend scripting languages such as Node.js and React.js is a plus.
• Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
• 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, hands on Terraform will be advantageous
• Working knowledge of data ETL will be preferred.
• Good to have: Understanding of spark framework along with Snowflake and Databricks
• Experience with data visualization tools such as Tableau, Power BI etc.
• Ability to communicate with various stakeholders at all levels of the organization.
• Experience of working with partners and suppliers.
• 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.

Equal Employment Opportunity (EEO) Statement: We are an equal opportunities employer and welcome applications from all qualified candidates.