Client Partner

• Manage and grow relationships with existing clients by identifying new business opportunities.
• Collaborate with delivery and account teams to ensure high client satisfaction and successful engagement delivery.
• Drive account expansion through cross-selling and upselling of services and solutions.
• Maintain regular communication with client stakeholders to understand evolving business needs.
• Achieve or exceed quarterly and annual revenue targets.
• Maintain accurate sales pipeline and forecasting.
• Partner with internal teams to align client needs with service delivery capabilities.
• Stay updated on market trends, competitor offerings, and emerging technologies.

Artificial Intelligence

• Design and build robust backend services and microservices that power the DevX platform ecosystem.
• Integrate Large Language Models (LLMs) and custom AI models to enable features like semantic code search, automated refactoring, and natural language infrastructure provisioning.
• Act as a technical liaison and co-developer with our India-based engineering team, participating in daily stand-ups and code reviews to ensure architectural alignment.
• Implement AI-powered static analysis and code generation tools that improve developer productivity and code safety.
• Build highly scalable, event-driven backend systems using Python, Node.js, or Go to handle concurrent processing of large codebases.
• Design automated testing frameworks where AI agents generate test cases, execute regressions, and analyze root causes of failures.
• Develop integrations for standard CI/CD tools (Jenkins, GitHub Actions) that use AI to predict build failures and optimize deployment pipelines.
• Create comprehensive monitoring dashboards to track platform usage, model latency, and accuracy of AI suggestions.
• Contribute to the technical roadmap, evaluating new AI tools and frameworks to keep DevX at the cutting edge of the industry.

AI Development Engineer – DevX Platform, 13+ years exp.

• Conduct maturity assessments of customer software delivery lifecycles (SDLC) and design roadmaps for transitioning to AI-native engineering practices.
• Lead the technical rollout and configuration of AI coding assistants (GitHub Copilot, Cursor, Windsurf) and LLM-based productivity tools within complex enterprise environments.
• Redesign core engineering processes—including code review, QA, and documentation—to leverage AI agents and automated workflows, reducing cycle time by 30-50%.
• Design and deliver workshops, training sessions, and playbooks to upskill engineering teams, fostering a culture of 'learning relentlessly' and safe AI adoption.
• Act as an internal change agent for Nous Infosystems, embedding AI-native practices into our own delivery centers to ensure we remain at the cutting edge of digital engineering.
• Define and track KPIs related to developer productivity, code quality, and time-to-market to demonstrate tangible ROI from AI investments.
• Stay ahead of the curve on emerging AI agents, autonomous coding frameworks, and cloud AI platforms (AWS Bedrock, Azure OpenAI) to continuously evolve our service offerings.

AI-Native Transformation Specialist, 12+ years of exp.

Data Engineer

• Design, develop, and manage enterprise-scale batch scheduling and data pipeline workflows
• Develop and support data pipelines using ETL/ELT tools and scripting
• Monitor, troubleshoot, and optimize batch failures and performance issues
• Schedule and monitor workloads in AWS / Azure / GCP environments
• Integrate Control-M with data platforms such as Snowflake, Redshift, BigQuery, etc.
• Collaborate with application, data, and infrastructure teams to ensure seamless scheduling

Control-M Developer, Data Engineering

Consultant

• Perform hands-on data integration and maintenance activities in Oracle Essbase
• Support and manage BSO and ASO cubes
• Analyze existing Essbase workloads and identify candidates for migration
• Migrate and replace selected Essbase workloads with Databricks-based solutions
• Design and validate data models and transformations during migration
• Develop and optimize SQL queries for data analysis and reconciliation
• Collaborate with data engineering, analytics, and business teams
• Ensure data accuracy, performance, and scalability post-migration
• Document migration processes, mappings, and best practices

TMS

Client Partner

AI Development Engineer – DevX Platform, 13+ years exp.

AI-Native Transformation Specialist, 12+ years of exp.

Control-M Developer, Data Engineering

Oracle Essbase Consultant – Databricks Migration