Jobs at Kanerika

Lead enterprise resource management: capacity planning, allocation, utilization tracking, and forecasting. Establish governance, align resources to delivery (Agile/Waterfall/Hybrid), partner with PMO/L&D, and drive reskilling and utilization improvements to support on-time project delivery.

Lead cross-functional engineering teams to deliver software using Agile/Scrum. Translate business requirements, own SDLC, facilitate ceremonies, manage risks/dependencies, track sprints in JIRA, and integrate DevOps, testing, and release processes.

Design and define conceptual, logical and physical data models on Microsoft Fabric. Create reusable Bronze/Silver/Gold datasets, define grain/keys/relationships, produce source-to-target mappings, support Power BI semantic models, document lineage and data quality, and collaborate with engineers, architects, governance and business stakeholders.

Lead design, implementation, deployment, and scaling of AI-driven applications with emphasis on RAG-based chatbots. Architect solutions using Python and Java, deploy on AWS, mentor engineers, collaborate cross-functionally, ensure testing/performance tuning, and research emerging AI technologies to drive innovation.

Build and maintain automation regression suites and frameworks, design and execute automated and manual tests across reporting systems and ETL/data pipelines, perform SQL-based data validation, validate data migrations and end-to-end flows, triage defects with cross-functional teams, and maintain QA documentation and test reports.

Own and run the performance management cycle, drive KPI governance and analytics, design and deliver L&D strategy and training programs, conduct capability and competency mapping, manage certification and training records, and strengthen related policies and processes to align employee development with business objectives.

Design, build, and maintain AEM backends and frontend components using React/Angular and HTL. Create Sling models, servlets, OSGi services, templates, workflows, and REST APIs. Integrate AEM with third-party systems, optimize performance and security, write automation scripts (Java/Python), and enforce code quality via testing, CI/CD and code reviews.

Lead presales activities including bid planning, proposal and presentation development, stakeholder communications, solution validation, and executive-level presentations. Ensure high-quality, compliant deliverables, identify risks and win themes, leverage internal case studies and support teams, and contribute market and competitive intelligence to improve win probability.

Lead and execute AI-driven, programmatic SEO strategies to drive a $35M pipeline target. Own technical, on-page, and off-page SEO, programmatic content generation, cloud-based automation, experiments, backlink growth, analytics, and mentoring junior team members to scale repeatable SEO systems across North America and Europe.

Drive consistent multi-channel outbound prospecting using AI and automation tools to book qualified meetings. Perform high-volume outreach (50+ calls/day), craft personalized email/LinkedIn campaigns, manage deliverability and campaign performance, research prospects' tech stacks and pain points, and translate technical capabilities into business outcomes while maintaining CRM hygiene and scaling trigger-based workflows.

Lead design and delivery of RAG-based chatbot and AI applications using Python/Java on AWS. Architect scalable solutions, mentor engineers, manage deployments, ensure quality, and research emerging AI technologies.

Design, develop, and maintain scalable Java-based microservices and web applications using Spring/Spring Boot. Build RESTful APIs, work with relational and NoSQL databases, participate in code reviews, implement CI/CD, and collaborate with cross-functional teams to deliver high-quality features and improvements.

Lead and manage data engineering teams to design and support cloud-based data tools, build scalable data pipelines and models, ensure data quality and security, collaborate with architects, oversee agile delivery, hiring, escalations, and pre-sales enablement, and mentor team members for enterprise-grade solutions.

Design and build Java/Spring Boot cloud-native services for AI governance, observability, and compliance. Integrate with major AI platforms, implement telemetry and evaluation pipelines, develop orchestration/schedulers, event-driven connectors, dashboards, and CI/CD practices while collaborating across engineering teams.

Lead financial stewardship and strategic planning: maintain accounting controls and compliance, manage AP/AR/payroll and month-end, build FP&A models and dashboards, support investor/board readiness, partner with business units on pricing, forecasting, and risk mitigation.