Software Engineer
3 weeks ago
Experience required: 2–4 years of professional software engineering experience.Budget for the role - Max Up to Rs. 15 LPA depending on your interview.100% remote OpportunityRole 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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