Qode
Technical Project Manager
TLDR
Lead technical architecture and data engineering initiatives focused on AWS and AI, guiding teams to deliver innovative solutions.
Role: Technical Project Manager - AWS
Location: Fort Mill, SC/New York, NY/Austin, TX
Experience: 13+ years
Mode: Hybrid (3 days WFO)
Duration: Full time
About the Role
We’re looking for a hands-on Technical Lead who lives and breathes AWS data engineering and modern AI. You’ll architect, design, and deliver cutting‑edge data + AI solutions while guiding a sharp team of engineers. If Glue jobs, PySpark magic, serverless wizardry, Python scripts and AI/ML operationalization excite you—you’ll feel right at home.
What You’ll Own & Lead:
Architecture & Delivery
- Drive end‑to‑end architecture for ingestion, transformation, analytics, and AI‑powered data products.
- Set the standards, patterns, and roadmaps that shape our data future.
Hands-on Engineering
- Build high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySpark.
- Craft serverless data services with Lambda, API Gateway & Step Functions.
- Tune Athena, optimize S3 layouts, and lead complex data migrations like a pro.
AI/ML Enablement
- Bring AI into real products: RAG pipelines, embeddings, inference endpoints, and more.
- Partner with Data Scientists & ML Engineers to operationalize models with MLOps best practices.
Quality, Security & Reliability
- Champion testing, data quality, observability, and lineage.
- Enforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenization.
Leadership & Collaboration
- Mentor engineers, lead sprints, and elevate the team’s technical bar.
- Work closely with Product, Security, and Architecture to turn ideas into reality.
What we are looking for
- 13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisions.
- Deep, hands‑on expertise across AWS Data services & AI:
- AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data Catalog § Python for data engineering (PySpark) and service development
- ETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modeling § Data migration strategies, validation frameworks, and rollback planning
- Data lake architecture: Parquet, partitioning, with familiarity in Iceberg
- IaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps)
- Hands‑on experience with modern AI technologies and emerging AI tooling
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Industry
- Internet Software & Services
Technical Project Manager