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Build and lead detection engineering and incident response capabilities across corporate, production, and AI-agent surfaces using cloud telemetry, SIEM/data-lake stacks, and detections-as-code.
Leads security engineering for an AI-powered software creation platform, designing and implementing security features (audit flows, scanners, compliance tools) while integrating AI/ML into security workflows. Owns full-stack development, advocates secure coding practices, and shapes security-first product strategy.
The Staff/Principal Software Engineer leads cloud, identity, and runtime security for Lovable’s platform, designing and implementing guardrails (IAM, network segmentation, secrets management) to harden infrastructure and supply chain security across GCP, AWS, and Cloudflare.
Corporate Security Engineer securing Lovable's employee laptops, identities, SaaS apps, and AI toolstack using Okta, Google Workspace, Kandji, Crowdstrike, Tailscale, Cloudflare, Vanta, and Wiz.
About Finix Finix is building the global operating system for fintech, starting with payments. From startups to publicly traded companies, Finix processes tens of billions of dollars annually both in-store and online.…
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
Build and deploy ETL/ELT pipelines to integrate data from multiple sources into centralized repositories using Python, SQL, and cloud data platforms.
The Staff Technical Program Manager will lead the Business Technology portfolio, managing cross-functional enterprise system implementations and building internal operating models. This role requires deep experience in ERP/business systems, SOX compliance, and executive communication to scale internal infrastructure at a fast-growing AI cloud company.
Why you: Pythian sits at the intersection of data engineering, AI production, and managed services — helping enterprises turn data complexity into competitive advantage. With three decades of deep managed services…
Designs and maintains scalable data pipelines and Snowflake-based data warehouse for an online gaming company, using Python, Airflow, and DBT.
About Health Monitor Network Health Monitor Network is a leading direct-to-patient healthcare marketing company with a 35+ year track record of connecting patients and providers through digital, print, and…
Senior Technical Program Manager leading a human biological data platform for a pharma client, managing cross-functional programs across data engineering, AI/ML, and scientific workstreams using GCP, Jira, and a hybrid agile/waterfall delivery model.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
The Junior Data Engineer will build and maintain ETL/ELT workflows and data models to support marketing analytics and dashboarding. The role involves working with Google BigQuery, SQL, and visualization tools like Tableau to ensure reliable data flows for high-profile clients.
Builds and maintains data pipelines and ML workflows across multi-cloud platforms (Hadoop, BigQuery, Snowflake, etc.) to optimize data workflows and support scalable data platforms for HSBC’s analytics technology team.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Staff-level engineer on Anthropic's Capacity Engineering team building production systems to plan, measure, and optimize utilization across one of the largest AI infrastructure fleets in the industry. Work spans data pipelines (Python/BigQuery), Kubernetes-native observability (Prometheus/Grafana), capacity planning tooling, and cost attribution — with direct impact on eight-figure monthly spend a
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