Software Engineer I – Real-Time Data Pipelines (Hybrid)

Seerist, Inc.; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Bonus plan

401(k) matching

Health, dental, vision, and life plans

Unlimited PTO

Parental Leave — up to 16 weeks

Tuition Reimbursement

Professional Development Stipend

Job summary

Seerist, Inc. is seeking a software engineer to build and optimize the platform’s data ingestion and processing pipelines.

You will design and implement event-driven systems that scale to real-time intelligence, optimize queries and schemas for heavy load, and ensure observability across distributed services. You will work directly with intelligence analysts and product teams to translate requirements into performant, scalable software while embracing hybrid work arrangements and a fast-moving,

Qualifications

• Experience with TypeScript, Node.js, and Python.
• Designing and debugging event-driven systems.
• Building high-volume, low-latency data ingestion pipelines.
• Hands-on AWS (SQS, S3, ECR, AWS CDK).

Responsibilities

• Build and optimize high-volume data ingestion and processing pipelines.
• Architect event-driven systems for real-time intelligence.
• Collaborate with intelligence analysts and product team to translate requirements into scalable software.
• Instrument services for observability and diagnose production issues.

Skills

TypeScript

Node.js

Python

Event-driven

Data pipelines

AWS

PostgreSQL

DynamoDB

OpenSearch

ElasticSearch

Redis

Datadog

Microservices

AWS CDK

AI tooling

Tools

AWS CDK

OpenSearch

ElasticSearch

Redis

Datadog

Job description

Seerist, Inc. is seeking a software engineer to build and optimize the platform’s data ingestion and processing pipelines.

You will design and implement event-driven systems that scale to real-time intelligence, optimize queries and schemas for heavy load, and ensure observability across distributed services. You will work directly with intelligence analysts and product teams to translate requirements into performant, scalable software while embracing hybrid work arrangements and a fast-moving,