Jobs at CodeNinja Inc.

Leads a development team while remaining hands-on in low-level design, Java Spring Boot microservices, REST API development, security, and React JS. Responsibilities include architecture, coding, code reviews, mentoring, troubleshooting, production support, performance optimization, DevOps collaboration, disaster recovery validation, and stakeholder communication. The role ensures scalable, secure, high-quality enterprise applications and guides delivery from requirements through production readiness.

Coordinate end-to-end onboarding for contractors, consultants, and temporary workers. Manage documentation, approvals, access requests, system provisioning, IDs, badges, inductions, and stakeholder communications. Track onboarding SLAs, resolve delays, prepare status reports, maintain audit records, and ensure logical and physical access complies with banking security policies, least-privilege principles, and regulatory requirements. Support access changes, reviews, validation, and revocation throughout the contractor lifecycle.

Coordinate end-to-end recruitment and interview processes, including scheduling, candidate communication, vendor and stakeholder coordination, feedback collection, tracking, reporting, onboarding readiness, and staffing fulfillment. Monitor vendor SLAs, maintain recruitment documentation and dashboards, identify bottlenecks, support workforce planning, and improve recruitment operations and candidate experience.

Be the on-camera face for short-form B2B videos (45-90s): convert long-form assets into scripts, plan and shoot weekly with the video editor, rough-cut clips, and contribute original platform-tailored short-form ideas tied to campaign sprints.

Lead pre-sales solution architecture and Well-Architected reviews, deliver hands-on engineering contributions, define reusable cloud reference architectures and landing zones, mentor cloud engineers, own technical evidence for AI/service delivery designations, and grow the practice into a people-led team.

Manage end-to-end recruitment for IT roles: partner with hiring managers, source candidates via multiple channels, screen and interview, maintain ATS records, coordinate interviews, and ensure a positive candidate experience while building talent pipelines with universities and organizations.

Leads end-to-end customer segmentation strategy and analytics, including behavioral profiling, value-based segmentation, lifecycle analysis, BI reporting, and model refinement. Translates customer insights into targeted propositions and partners with marketing, product, and pricing teams to improve acquisition, engagement, retention, and pricing. Presents findings to senior stakeholders and drives commercially impactful, data-informed decisions.

Leads customer value management and segmentation strategy across acquisition, cross-sell, retention, and win-back. Owns pricing, offers, incentives, campaign experimentation, KPI tracking, and revenue optimization. Partners with Marketing, Data, Product, and Finance while presenting strategy to senior stakeholders and leading CVM execution teams.

Build and maintain customer segmentation models, analyze customer behavior and profiles, create campaign audience lists, evaluate campaign performance, and develop BI dashboards for CVM metrics and KPIs. The role translates customer data into commercial targeting recommendations and refines segmentation frameworks through collaboration with marketing, BI, and product teams.

Develops implementation-ready business requirements documents and user stories for a retail banking transformation. Elicits and analyzes customer engagement requirements across CRM, campaigns, notifications, loyalty, personalization, digital servicing, channels, data, and integrations. Identifies gaps, challenges ambiguity, aligns Business, Digital, and Technology stakeholders, supports solution design, and validates delivered functionality against requirements.

Design, develop, and deploy machine-learning and time-series forecasting solutions. Perform feature engineering, model validation, backtesting, and production monitoring. Build scalable data pipelines, dashboards, and collaborate with stakeholders while mentoring junior team members.

Lead design and delivery of production-grade time-series forecasting for financial use cases: architect pipelines, develop and benchmark classical and ML models, implement time-aware validation and Bayesian tuning, perform backtesting, quantify uncertainty, deploy and monitor models with MLOps, build dashboards, and mentor junior engineers while collaborating with finance and risk stakeholders.

The Account Executive will engage with enterprise customers, manage key account relationships, develop business cases, and collaborate with internal teams to deliver AI solutions.