Senior Software Engineer

Role Overview (Hands?on Player?Coach)

hands?on leadership

Salary Budget upto Rs. 21-24 LPA

About ForageAI

data collection and processing

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:

• 79 years

  in software engineering, including

  23+ 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.