Egen

AI Engineer

• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
• Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone.
• Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance.
• Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks.
• Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques.
• Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved.

Senior AI Engineer

Data Engineer

• Design and implement **scalable streaming data platforms** to support real-time ingestion, processing, and analytics
• Architect and guide the development of **end-to-end data platforms** across batch and streaming workloads
• Lead and contribute to **Master Data Management (MDM)** solutions, including:
• Golden record design
• Data matching, survivorship, and hierarchy management
• Integration patterns with downstream consumers
• Define and implement **data governance frameworks**, including:
• Data ownership and stewardship models
• Data quality rules and monitoring
• Metadata, lineage, and access controls
• Collaborate with application teams to expose data via **APIs and event-driven architectures**
• Provide architectural guidance for **cloud-native deployments**, including containerization and orchestration
• Establish **data architecture standards, patterns, and best practices**
• Partner with DevOps teams to enable CI/CD, infrastructure automation, and platform reliability
• Review designs, mentor engineers, and help drive technical decisions across projects

Principal Data Architect – Streaming, Data Platforms

Controller

• Own and lead all day-to-day accounting functions, including general ledger, monthly close, consolidation, financial reporting, and compliance
• Establish and refine scalable processes and internal controls to support a growing, global services business
• Manage external audits, tax filings, and compliance matters in partnership with third-party providers
• Build and lead a high-performing accounting team, providing mentorship and development while driving accountability
• Collaborate cross-functionally with FP&A, legal, HR, operations, and delivery to ensure financial accuracy and alignment
• Support the integration of acquisitions, including systems, policies, and reporting standards
• Contribute to ERP implementation and automation efforts that drive efficiency and real-time visibility
• Serve as a strategic thought partner to the CFO and the FP&A team, bringing insights, solutions, and financial leadership to key initiatives

Global Controller

Machine Learning Engineer

• Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
• Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
• Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
• Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle
• Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization
• Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines
• Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure

Senior MLOps Engineer

Infrastructure 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 GCP 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 GCP, 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 Infrastructure Architect

• Implement cloud-based IaC solutions
• Develop and implement automation to support continuous delivery and continuous integration solutions
• Use GCP services to deploy highly available, scalable, and secure applications
• Implement workflows to automate the release and upgrade process for applications in Development, Test, and Production environments.
• Implement secure integrations using GCP security and networking technologies
• Administration and engineering of IAM user Role-Based Access Controls and processes
• Create and update support documentation and standards.
• Develop automated methodologies for deployment activities, configuration management, supporting systems, and business processes.
• Investigate and contribute to solving various issues in production environments.

Cloud Infrastructure Engineer – GCP

Recruitment

• Own the full lifecycle of global staffing requests across all active and upcoming client engagements.
• Partner closely with Sales, Pre-Sales, and Delivery Leadership to understand project scope, timing, skill requirements, and client priorities.
• Match consultants to project roles based on skills, experience, availability, regionalities, utilization targets, and career development goals.
• Actively manage and optimize the bench, identifying short-term deployment opportunities and longer-term skill or capacity gaps.
• Align with Practice Leads to define common profiles for hiring consistency, as well as a clear definition of levels globally.
• Maintain an accurate, forward-looking view of demand relative to available capacity.
• Translate pipeline and delivery forecasts into actionable staffing plans.
• Provide clear, data-backed recommendations on hiring needs, timing, and required skill profiles.
• Proactively rotate bench talent across the portfolio based on pipeline and future opportunity trends to align with business direction and reduce time-to-fill for resource requisitions.
• Collaborate with Talent Acquisition to address both ongoing pipeline needs and one-off hiring requirements.

Senior Resource Management – Staffing Lead

Client Partner

• The Client Partner will maintain a high level of knowledge about specific Egen solutions and will be tasked with individual sales objectives
• Serve as the customers’ trusted partner and single point of contact for Egen services
• Builds relationships directly with customers and identifies opportunities for engagement with services and solutions
• Leads the scoping service projects and quickly drafts statements of work
• Accountability to see both our customers and our Egen delivery teams succeed
• Builds relationships with the relevant channel partner account teams to establish mutual success plans and grow the account value
• Aligns with channel partner account teams to support opportunities in the assigned territory for the implementation of Egen solutions and services
• Works with Egen marketing to develop the customer success stories, account-based marketing plans, and other content that helps grow Egen’s business
• Works with Egen business development and marketing teams to qualify new opportunities and drive net new business to Egen
• Understanding of cloud-based solutions and, generally, technical solutions in analytics, data architecture, and cloud-based applications
• P&L management and ownership of accounts, including account strategy development

Frontend Engineer

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation

Senior Full Stack Developer – ReactJS, Typescript, NodeJS

• Migrate data and analytics workloads from BigQuery to Snowflake
• Support GCP to AWS data platform migration
• Develop and optimize ETL/ELT pipelines using Python and SQL
• Build analytics-ready datasets for reporting and dashboards
• Support BI tools such as Looker, Amazon QuickSight, or Tableau
• Ensure data quality, performance, and reliability
• Collaborate with data architects, analytics, and DevOps teams

Data Engineer – AWS/Snowflake

DevOps Engineer

• Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
• Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale maintainability and repeatability.
• Utilize Kubernetes deployment tools such as Helm/Kustomize in combination with GitOps tools such as ArgoCD for container orchestration and management.
• Design and implement CI/CD pipelines using platforms like GitHub, GitLab, Bitbucket, Cloud Build, Harness, etc., with a focus on rolling deployments, canaries, and blue/green deployments.
• Ensure auditability and observability of pipeline states.
• Implement security best practices, audit, and compliance requirements within the infrastructure.
• Provide technical mentorship, and training to engineering staff.
• Engage with clients to understand their technical and business requirements, and provide tailored solutions.
• Troubleshoot and resolve complex infrastructure issues.

DevOps Engineer – GCP

Backend Engineer

• Design, develop, and support GCP data pipelines to extract, load, and transform data
• Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and supported (i.e. documentation)
• Work with the project team, estimate and plan the work effort
• Attend daily team stand-ups
• Work with business analysts and project management to review business requirements and produce technical design specs that will meet the requirements