Egen

Cloud Engineer

• Act as a trusted technical advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments
• Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on Google Cloud services and strategic interoperability with the second cloud platform (Pref AWS)
• Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments
• Drive advanced DevOps practices and accountability models
• Oversee cloud cost optimization initiatives, and establish technical guardrails to ensure maximum ROI across the multi-cloud footprint.
• Architect and lead the implementation of complex, large-scale solutions on Google Cloud, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner
• Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management)
• Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA)
• Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape
• Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments
• Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
• Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuous learning
• Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps and end-to-end automation across the development lifecycle
• Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals
• Elevate the organization’s technical brand by authoring engineering blogs and whitepapers, and representing the company as a speaker at industry conferences and meetups.

Principal Cloud Architect

Data Engineer

• Design and build scalable data pipelines (batch & streaming) on GCP
• Develop and manage API-driven integrations (REST, JSON, event-based)
• Work with healthcare data standards such as FHIR, HL7, and EDI
• Build and optimize solutions using: BigQuery, Dataflow, Pub/Sub, Cloud Storage
• Design data models aligned with business and domain requirements
• Ensure data quality, performance, and reliability
• Collaborate with stakeholders and independently own deliverables from design to deployment

Senior Data Engineer

Client Partner

• Serve as the trusted strategic advisor to executive stakeholders (C-level, VP, Director), deeply understanding their long-term business goals, technology footprint, and competitive landscape to proactively identify and champion high-impact data and AI transformation opportunities.
• Full ownership and strategic growth for a portfolio of accounts, including defining comprehensive account strategies and ensuring solutions drive measurable, quantifiable business outcomes (e.g., ROI, cost reduction, process automation).
• Own the strategic framing and commercial lifecycle of all engagements. This includes defining strategic business objectives, negotiating commercial constructs (MSAs, SOWs, Pricing).
• Demonstrate understanding of solution design and strategic implementation of projects involving AI/ML, Data Products, and cloud-native application modernization on major public clouds (GCP preferred). Must be able to bridge complex technical solutions with executive business value.
• Lead and orchestrate internal cross-functional teams (Sales, Principal Architects, Engineering, Delivery) to ensure solution integrity, technical feasibility, and successful, on-time delivery of client engagements.
• Drive mutual success and maximize business growth in the territory through close alignment and co-selling efforts with Google Cloud Platform (GCP) and other strategic alliance partner account teams.
• Collaborate with Egen marketing and business development teams to develop client success stories, targeted account-based marketing plans, and content that drives net-new business acquisition.

Client Partner – Early Velocity

Consultant

• Agentic Change Strategy & Planning: Apply structured change management methodologies to design tailored strategies for complex AI and Workspace transformations.
• Discovery & Assessment: Facilitate Gemini Enterprise Discovery Workshops and conduct change impact analyses to identify risks, gaps, and opportunities.
• Stakeholder Engagement & Executive Advisory: Support and engage senior leaders and executive sponsors, coaching them on their visible change leadership role.
• Training, Education & Communication: Develop persona-based learning journeys and role-based training programs that build competency in agentic solutions.
• Adoption Measurement & Sustainment: Lead Gemini Enterprise Pilot programs, managing Vanguard Cohorts and capturing baseline productivity reports.

Senior Consultant, Agentic Change Enablement

• Lead the implementation and operationalization of hybrid network architectures, ensuring high-quality, on-time delivery across the project lifecycle.
• Deploy and manage core hybrid connectivity solutions, utilizing services such as Network Connectivity Center (NCC), Partner Interconnect, and HA VPN to establish robust, secure, and dynamically routed links between cloud and on-premises environments.
• Establish and enforce a comprehensive network security posture by deploying and configuring cloud-native security products, including Cloud NGFW Enterprise (Next-Generation Firewall), Cloud IDS (Intrusion Detection System), and Cloud Armor (DDoS and WAF protection).
• Implement strong access boundaries and data exfiltration guardrails using VPC Service Controls (VPC SC) and Network Security Endpoints to protect sensitive services and resources.
• Configure and maintain network visibility tools like VPC Flow Logs and Firewall Rule Logging for real-time monitoring, troubleshooting, security diagnostics, and forensic analysis.
• Define and deliver network components using Infrastructure-as-Code (IaC) (e.g., Terraform) to ensure all deployments are repeatable, scalable, and compliant with established governance policies (e.g., using Cloud DNS for centralized naming).
• Act as the technical Subject Matter Expert (SME) on network delivery, providing ad-hoc technical leadership and actively collaborating with on-premises network engineers to facilitate knowledge transfer and operational alignment.

Lead Cloud Engineer – Network Specialist

Application Engineer

• Develop full-stack applications and workflows with modern architectures, following 12-factor app principles
• Build and maintain backend services in Python
• Design and implement RESTful APIs and containerized services for application delivery
• Create intuitive, high-performance front-end experiences using frameworks like React, Vue.js, or Angular
• Collaborate closely with Solutions Architects to ensure application design aligns with business and technical requirements
• Implement cloud-native solutions on Google Cloud or Azure, including containerization, async events, and cloud managed services
• Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB), including schema management and database schema migration tools
• Apply testing frameworks and best practices to ensure application quality, performance, and scalability
• Participate in Agile ceremonies—daily scrums, sprint planning, architecture/design sessions
• Contribute to automation, CI/CD strategies, and release management
• Ensure code quality, security, and adherence to non-functional requirements

Senior Application Engineer – Python/JavaScript/Typescript

Full-stack Engineer

• Frontend Development: Design and implement high-performance, scalable, and responsive user interfaces using Nest.js.
• Backend Development: Develop and maintain robust, scalable APIs and microservices using Node.js and Python, ensuring high availability and performance.
• GKE & Kubernetes Expertise: Design, deploy, and manage highly available, scalable, and secure GKE clusters. Implement best practices for Pod security, networking, and resource management for Nest.js/Node.js/Python applications.
• Application Refactoring: Collaborate with application teams to adapt services for optimal performance and adherence to cloud-native best practices within the GKE environment.
• Monitoring & Logging: Configure and manage monitoring, logging, and alerting solutions, primarily using GCP's Operations suite (Cloud Monitoring/Logging/Trace), to ensure system reliability and performance.
• Documentation & Knowledge Transfer: Create comprehensive technical documentation for the environment, procedures, and operational runbooks, and mentor junior team members.

Full Stack Developer, Nest.JS, Node JS

• Design, develop, and deploy large scale data processing pipelines, both batch and streaming, using technologies such as Dataflow, Apache Beam, Spark, Akka, Pub/Sub.
• Expertise with multiple data storage technologies such as Bigtable/HBase, BigQuery, Spanner, CloudSQL/Postgres.
• Work with stakeholders to understand business problems, develop use-cases, and translate them into pragmatic and effective technical solutions.
• Design and develop appropriate schema for data based on understanding of the domain problem.
• Manage data lineage and ensure data security with appropriate tools and methodologies.
• Collaborate with data scientists, architects, and other stakeholders to ensure alignment between technical and business strategy.
• Continuously monitor, refine and report on the performance of data management systems.
• Mentor junior data engineers, reviewing their outputs and directing their professional development.

Director

• Build and lead the new Change Enablement consulting practice.
• Shape clients' enterprise-wide transformation driven by Generative AI.
• Activate and scale Change Management services to foster organizational alignment and strategic thinking.
• Recruit, mentor, and lead a high-performing team of Change Management consultants.
• Develop the practice's delivery playbook and core methodologies for user adoption of AI solutions.
• Manage team allocation and project assignments to ensure high-quality delivery and client satisfaction.
• Design and lead executive-level change management workshops for complex transformation challenges.
• Facilitate strategic sessions that translate problems into actionable activities with clear business outcomes.