Senior Software Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of Intentsify

Intentsify

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Private Equity Round on 2021-12

Healthcare • Consulting • Logistics

Intentsify is a company specializing in AI-driven intent data solutions for B2B marketing and sales. Their unique platform aids businesses in identifying companies that exhibit buying behaviors and in engaging them with precision through intent-activated demand generation and advertising solutions. With proprietary natural-language processing technology, Intentsify automates the calibration of intent-scoring models to meet unique business needs, boosting digital engagement and driving revenue growth. They serve various industries, including healthcare and agencies, offering advanced analytics and seamless integration of their AI-driven solutions. Intentsify's offerings are centered around enhancing B2B marketing effectiveness through signal-based marketing strategies.

📋 Description

• Own processes end to end: design, implement, test, deploy, monitor, and support them in production. • Build and maintain ETL pipelines with scheduled and event-driven batch processing over large volumes of web, behavioral, and account data. • Own the team's infrastructure, CI/CD, and observability, including consolidating older systems onto the current platform. • Ensure the correctness of the data produced by systems, including preventing silent data issues. • Make key technical decisions, write tests covering real business logic, and provide substantive code reviews. • Deploy and operate work directly in production and resolve issues when they occur.

🎯 Requirements

• Senior-level experience: years of building and operating production systems, comfortable owning products end to end with limited supervision. • Strong Python skills in both data-processing and service/API contexts. • SQL and cloud data warehousing (Snowflake or equivalent), with a healthy instinct for data correctness and idempotency. • Event-driven architecture on AWS (SQS/SNS, S3, IAM, Secrets Manager), with workloads running in Docker and Kubernetes. • Experience with a workflow orchestrator (Argo Workflows, Airflow, Dagster, or similar). • Operational maturity: you instrument what you build and can diagnose a production issue yourself. • Effective in a small cross-functional team, and able to explain technical tradeoffs to data science and product stakeholders. • Infrastructure as code (Pulumi or Terraform) is nice to have. • Serving ML models in production: transformer inference, vector databases, GPU scheduling, and LLM APIs is nice to have.

🏖️ Benefits

• Competitive Medical, Dental, and Vision plans • 401k with Company Match • Flex-time and open vacation policy • Tremendous growth opportunity within a fast-growing start up • Short term and long term disability • Life Insurance

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