Software Engineer
3 weeks ago
Experience required: 2–4 years of professional software engineering experience. Role Overview: You will design, build, and operate software for data collection and processing at scale. The role is hands‑on, with emphasis on clean design, reliability, and performance. Key Responsibilities: · Develop and maintain Python applications for crawling, parsing, enrichment, and processing of large datasets. · Build and operate data workflows (ETL/ELT), including validation, monitoring, and error‑handling. · Work with SQL and NoSQL (plus vector databases/data lakes) for modeling, storage, and retrieval. · Contribute to system design using cloud‑native components on AWS (e.g., S3, Lambda, ECS/EKS, SQS/SNS, RDS/DynamoDB, CloudWatch). · Implement and consume APIs/microservices ; write clear contracts and documentation. · Write unit/integration tests , perform debugging and profiling; contribute to code reviews and maintain high code quality. · Implement observability (logging/metrics/tracing) and basic security practices (secrets, IAM, least privilege). · Collaborate with Dev/QA/Ops; ship incrementally using PRs and design docs. Required Qualifications · 2–4 years of professional software engineering experience. · Strong proficiency in Python ; good knowledge of data structures/algorithms and software design principles . · Hands‑on with SQL and at least one NoSQL store; familiarity with vector databases is a plus. · Experience with web scraping frameworks (e.g., Scrapy, Selenium/Playwright, BeautifulSoup) and resilient crawling patterns (respect robots/rotations/retries). · Practical understanding of system design and distributed systems basics. · Exposure to AWS services and cloud‑native design; comfortable on Linux and with Git . Preferred / Good to Have (Prioritized) · GenAI & LLMs : experience with LangChain, CrewAI, LlamaIndex , prompt design, RAG patterns, and vector stores. (Candidates with this experience will be prioritized.) · CI/CD & Containers : exposure to pipelines (GitHub Actions/Jenkins), Docker , and Kubernetes . · Data Pipelines/Big Data : ETL/ELT, Airflow , Spark , Kafka , or similar. · Infra as Code : Terraform/CloudFormation; basic cost‑ and performance‑optimization on cloud. · Frontend/JS : not required ; basic JS or frontend skills are a nice‑to‑have only. · Exposure to GCP/Azure . How We Work · Ownership of modules end‑to‑end (design → build → deploy → operate). · Clear communication, collaborative problem‑solving, and documentation. · Pragmatic engineering: small PRs, incremental delivery, and measurable reliability. Work‑from‑Home Requirements · High‑speed internet for calls and collaboration. · A capable, reliable computer (modern CPU, 8GB+ RAM). · Headphones with clear audio quality. · Stable power and backup arrangements. ForageAI is an equal‑opportunity employer. We value curiosity, craftsmanship, and collaboration.
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