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Data Engineer
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Senior DevOps Engineer – Google Cloud Platform (GCP) & Salesforce
Design and manage GCP infrastructure and Salesforce deployments, building CI/CD pipelines with Kubernetes, Docker, GitHub Actions, and Jenkins while integrating microservices and AI/ML services.
Full Stack Developer | Mid-Level
Build and maintain full-stack web apps using Java/Kotlin, Spring, React, Node.js, and AWS; collaborate in Agile teams to deliver scalable solutions.
Senior Data Architect
Designs and leads enterprise-scale data platforms on Google Cloud Platform, defining standards for data warehouses, lakes, and governance while enabling analytics and compliance.
Systems Administrator: Town & Schools
Manage and secure Google Workspace, Active Directory, and MDM for a municipal and K–12 environment, ensuring reliable systems for town departments, public safety, and schools.
Senior Platform Engineer
Build and own the shared platform that powers AI agents, standardizing infrastructure, observability, and security for product engineers while scaling systems under heavy AI workloads.
AWS Data Engineer
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Data Engineer-GCP
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Data Engineer-GCP
Designs and builds scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Data Engineer-GCP
Builds and maintains scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python, SQL, and Apache Beam/Spark.
AWS Data Engineer
Build and maintain scalable PySpark and AWS data pipelines for a healthcare SaaS platform, ensuring secure, compliant data flows between clinical systems and the product.
Staff Software Engineer, IAM & Account Infrastructure
Build and scale identity and access management systems for a global fintech platform, focusing on authentication, authorization, and account infrastructure to secure businesses worldwide.
DevOps engineer
You design, automate, and secure cloud-native infrastructure on Azure, build CI/CD pipelines, and run Kubernetes clusters to keep municipal digital services reliable and fast for residents.
Customer Success Technical Engineer / DevOps
Customer Success Technical Engineer provides post-sales support for a unified Secrets & Machine Identity platform, troubleshooting cloud-native deployments and guiding customers on Kubernetes, Docker, and cloud security best practices.
Senior/Staff Software Engineer - Conversational AI
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
data BAU lead - data engineering (weekends, shift) #IKR
Lead a team maintaining and improving cloud-based data pipelines and warehouses, migrating legacy systems to Snowflake and AWS, and ensuring 24/7 production support with weekend/shift rotations.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Systems Analyst
Maintains and secures the Microsoft 365 E5 stack (Defender, Exchange, Entra ID, Intune), automates workflows, and troubleshoots end-user and integration issues to keep enterprise systems running smoothly.
Data Architect (AI)
Design and optimize a high-performance data platform to power analytics, dashboards, and AI models, leveraging AWS tools like Redshift, Glue, and SageMaker.