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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level Software Engineer - Backend / integrations - **Company:** Apptad Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, User Authentication, Databases, Data Security, Python (Programming Language), OAuth, Operational Databases, Software Engineering, Systems Integration, Workflow Management Systems, ReactJS, Large Language Models, State Machines, AWS Lambda, Backend, Rate Limiting, Vue.js, Servicebus, AI Platforms, Information Technology, AWS Fargate, Front End Software Development, Cloudwatch, Restful APIs, Amazon Simple Queue Service (SQS), Pagination, Webhooks, Data Pipelines, Api Management, Serverless Computing, Web Api, Microservices - **Published:** September 18, 2026 - **Apply:** https://www.careerjet.com/jobad/usbd0a887479fa230ef116006a38ad6709 ## About the Role Dealbreakers - screen out if missing Built and maintained production data/integration pipelines in Python (e.g., Prefect, Dagster, Step Functions, Airflow) Bachelor's degree in Computer Science from a reputable university Strong Python proficiency for backend services and data workflows Based in or near New York City; able to be in the Midtown office 3 days/week Baseline - expected 2 5 years of experience in backend software engineering Hands-on experience with API integrations at scale (rate limiting, retries, async, error handling) Experience with workflow orchestration tools (Prefect, Dagster, Airflow, Step Functions) Self-starter mindset - thrives in ambiguity Nice-to-have Worked at an early-stage B2B SaaS startup (seed to Series B) Hands-on AWS experience (Lambda, Step Functions, ECS, SQS, CDK) Technical Skills: Language: Python AWS: Lambda, Step Functions, ECS/Fargate, SQS, EventBridge, CloudWatch, CDK Integrations: REST APIs, OAuth, Webhooks Orchestration: Prefect, Dagster, Airflow AI / automation : LLM/VLM APIs, Browser Automation / RPA Frontend: Vue, React Architecture: Serverless and event-driven (Lambda, Step Functions), REST APIs, microservices, databases, and automation tooling. Roughly 90% backend, 10% frontend. ## Description Client is looking for a Mid-Level Software Engineer with 2 5 years of experience to build and maintain production-grade integrations and data pipelines for the AI platform for construction capital program owners. The person should be a strong Python engineer with real, hands-on integration experience: making API calls at scale, handling rate limits, async processes, retries, and orchestration tools like Prefect, Dagster, Step Functions, or Airflow. This is a role for a self-starter who is excited to roll up their sleeves, maintain and support critical pipelines, and grow into designing systems over time. They would join a lean, AI-native team of 20 that has increased engineering output 4 5x and is backed by $7.7M in seed funding from top-tier investors. What the person will do Build, extend, and maintain API integrations at scale - authentication, pagination, rate limiting, retries/backoff, idempotency, and error handling Implement and operate orchestrated data workflows and pipelines using tools like Prefect, Dagster, AWS Step Functions, or Airflow Support and maintain production pipelines day-to-day - investigating issues, improving resilience, and reducing repeat incidents Deliver well-scoped backend projects from requirements through implementation, testing, rollout, and monitoring Collaborate closely with senior engineers and Forward Deployed Engineers to translate field insights into durable, reliable product capabilities, The Company: (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. 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