Senior Software Engineer

Description

About Intentsify

At Intentsify, we are committed to developing cutting-edge solutions that transform B2B marketing through innovative intent data management. We value engaging projects, strong interpersonal relationships, and a healthy work-life balance. Our work culture prioritizes collaboration, freedom, and meaningful contributions to our products, with a focus on efficiency, growth, and trust. Join us and be part of a team where your impact is felt and your ideas are valued.

Intentsify is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Intentsify. Intentsify does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.

Overview: At Intentsify, we build software to make intent data actionable for marketing and sales teams. Our services digest millions of web pages every day, extracting deep semantic information that helps our customers make sense of what their buyers are interested in, how competitors position their messaging, and what the main market trends are.

Intentsify is seeking a Senior Software Engineer to own and evolve the platform behind that pipeline. There is no layer of engineers between you and production - you design the change, ship it, and operate it.

Responsibilities:

· Own processes end to end - design, implement, test, deploy, monitor, and support them in production.

· Build and maintain ETL pipelines: 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.

· Be accountable for the correctness of the data your systems produce; silent data issues matter as much as outages.

· Make key technical decisions, write tests that exercise real business logic, and give substantive code reviews.

How we work:

· Small teams, high autonomy. Teams are 2-4 engineers and own their services and optionally their infrastructure.

· Ship fast, iterate often.

· Prefer the simpler solution for MVPs; be skeptical of premature abstraction.

· Direct ownership of production. You deploy your own work, you see it run, and you fix it when it breaks.

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

Requirements

Qualifications:

· 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.

Nice to have:

· Infrastructure as code (Pulumi or Terraform).

· Serving ML models in production: transformer inference, vector databases, GPU scheduling, and LLM APIs.