Senior Software Engineer

Role Overview (Hands‑on Player‑Coach) This is a hands‑on leadership role. You will both lead and actively contribute code. You’ll work closely with engineers—reviewing designs and PRs, pairing on tricky problems, and raising the bar on architecture, reliability, security, and performance. Salary Budget upto Rs. 21-24 LPA About ForageAI ForageAI delivers large‑scale data collection and processing platforms: web crawlers, document parsers, data pipelines, and AI‑assisted workflows. Our primary language is Python; we design for cloud‑native on AWS (with GCP/Azure exposure). We prioritize high ownership, strong collaboration, and pragmatic, well‑documented engineering. Key Responsibilities: - Own end‑to‑end delivery of projects: requirements, scoping, design, implementation, testing, deployment, and operations. - Architect scalable, fault‑tolerant systems for crawling, parsing, enrichment, and data processing. - Write production code in Python; set standards via code reviews, design docs, and reference implementations. - Mentor and grow engineers: coaching on design, coding best practices, observability, and operational excellence. - Collaborate with stakeholders/clients: translate business needs into clear technical plans; manage risks and trade‑offs. - Establish engineering best practices (branching strategy, CI/CD, testing strategy, security baselines, SLAs/SLOs, incident/RCA processes). - Partner with QA/Ops to ensure quality gates, deployment hygiene, and on‑call readiness. - Drive exploration and adoption of GenAI/AI‑agent capabilities where they create clear value. Required Qualifications: - 7–11 years in software engineering, including 2–3+ years in a senior/lead capacity. - Expert in Python; strong command over data structures/algorithms, concurrency, and distributed systems concepts. - Deep experience with SQL and NoSQL (plus schema design/modeling); familiarity with vector databases. - Proven track record designing and shipping cloud‑native systems on AWS (S3, Lambda, ECS/EKS, SQS/SNS, RDS/DynamoDB, CloudWatch, IAM). - Significant experience building and operating crawlers/parsers and robust ETL/ELT pipelines. - Strong proficiency with Git, testing strategies (unit/integration/e2e), observability (logging/metrics/tracing), and performance tuning. - Excellent communication: produces high‑quality design docs and gives actionable, empathetic feedback. Preferred / Good to Have (Prioritized) - GenAI & LLMs: LangChain, CrewAI, LlamaIndex, prompt design, RAG, evaluation; vector stores. (Strongly preferred and prioritized.) - CI/CD & Containers: GitHub Actions/Jenkins, Docker, Kubernetes. - Data Pipelines/Big Data: Airflow, Spark, Kafka, or equivalents. - Infra as Code & Cloud Ops: Terraform/CloudFormation; security hardening, cost/performance optimization, capacity planning. - Frontend/JS: not required; basic JS or frontend exposure is nice‑to‑have only. - Exposure to GCP/Azure. - Experience with interviewing, onboarding, and developing talent. What Success Looks Like: - Clear, incremental delivery with measurable reliability (SLOs) and strong documentation. - Teams consistently ship high‑quality code under your guidance; juniors level‑up through mentorship. - Thoughtful trade‑offs that balance delivery speed, cost, security, and maintainability. 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. Forage AI is an equal‑opportunity employer. We value curiosity, craftsmanship, and collaboration.