Jobs at Egen

Technical Lead responsible for architecting and implementing scalable, secure Python backend systems on GCP, driving GKE/Cloud Run/PubSub strategy, owning technical roadmap, mentoring engineers, improving CI/CD and DevOps, and acting as primary technical liaison to stakeholders.

Design, develop, deploy, and maintain scalable Python applications on Google Cloud. Build and consume FastAPI REST APIs, implement CI/CD and unit tests, troubleshoot production issues, mentor junior engineers, propose architecture changes, and work on backend, streaming, search, and AI-powered workflows.

Design, build, test, and maintain scalable ETL and data ingestion pipelines on GCP using Python. Implement data transformations, quality checks, orchestration, and monitoring, collaborate with data teams, manage CI/CD and version control, and document pipeline designs and support procedures.

Lead design, build, test, and maintain scalable ETL/ELT data pipelines on GCP. Gather requirements from customers, architect solutions using Kafka, Spark, GKE, BigQuery, Pub/Sub, Airflow/Composer, implement data ingestion, quality checks, monitoring, and post-delivery support. Collaborate with data scientists and engineering teams and manage CI/CD and version control.

The Client Partner will expand Egen's Public Sector footprint, managing sales and relationships with State and Local agencies, focusing on data and AI solutions.

The Client Partner will drive sales, maintain client relationships, oversee service projects, support marketing efforts, and manage account strategy within the East region.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

Lead architecture and implementation of cloud-native data platforms on Google Cloud (BigQuery). Build unified batch/streaming pipelines, enforce IaC with Terraform, implement open table formats and governance (Dataplex/Data Catalog), automate data quality/lineage, partner with analytics and product teams, and mentor data engineers.

Lead enterprise cloud strategy and architecture on Google Cloud, drive multi-cloud interoperability, enforce governance and security, optimize cost, deliver large-scale implementations (GKE, BigQuery, Vertex AI), mentor senior engineers, and promote GitOps and automation across the delivery lifecycle.

Lead design, build, and production-deployable ML/Generative AI solutions (RAG, prompt engineering, fine-tuning). Mentor ML teams, implement end-to-end data pipelines, evaluate/tune models, and deliver scalable cloud-based ML systems.

Seeking a Senior Infrastructure Engineer for designing, implementing, and managing cloud infrastructure, with a focus on GCP and AWS.Responsibilities include IaC with Terraform, CI/CD pipelines, security best practices, and providing mentorship. Requires 5+ years of relevant experience.

Lead cloud architecture initiatives, driving multi-cloud adoption and governance, optimizing costs, implementing security measures, and mentoring engineers.

The Lead Cloud Infrastructure Engineer will design and manage cloud infrastructures, mentor engineers, and ensure system scalability and security while engaging with clients. Responsibilities include implementing IaC, managing CI/CD pipelines, and leading incident response efforts.

The AI Enablement Specialist will drive AI adoption at Egen by implementing tools, building data insights, and collaborating with teams.