Software Engineer

Experience required: 24 years of professional software engineering experience.

Budget for the role - Max Up to Rs. 15 LPA

100% remote Opportunity

Role Overview:

You will design, build, and operate software for data collection and processing at scale. The role is handson, 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 errorhandling.

Work with SQL and NoSQL (plus vector databases/data lakes) for modeling, storage, and retrieval.

Contribute to system design using cloudnative 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

24 years of professional software engineering experience.

Strong proficiency in Python; good knowledge of data structures/algorithms and software design principles.

Handson 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 cloudnative 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 performanceoptimization on cloud.

Frontend/JS: not required; basic JS or frontend skills are a nicetohave only.

Exposure to GCP/Azure.

How We Work

Ownership of modules endtoend (design build deploy operate).

Clear communication, collaborative problemsolving, and documentation.

Pragmatic engineering: small PRs, incremental delivery, and measurable reliability.

WorkfromHome Requirements

Highspeed 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 equalopportunity employer. We value curiosity, craftsmanship, and collaboration.