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Digit88
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Empowering digital transformation as a trusted software product engineering partner!
  • Growth Stage
    Expanding market presence

Senior Software Engineer — Full-Stack

  • ₹15L – ₹30L • No equity
  • |Remote () • 
  • |5 years of exp
  • |Full Time
Posted: 3 days ago• Recruiter recently active
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Visa Sponsorship

Not Available

RelocationAllowed
Skills
Java
Node.js
Software Architecture
Rabbitmq
Full Stack Development
Kafka
React.js
Spring Boot
MERN Stack - Javascript (ES5 & ES6), MongoDB, Express.Js, React, Node.Js
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)

About the job

Role : Senior Software Engineer — Full-Stack
Experience: 5-8 Years
Location: Bengaluru (Hybrid)
Type: Full-time

About Digit88
Digit88 is an AI-native product engineering partner helping startups and enterprises build, scale and operate intelligent software products.
We are a lean, high-impact team of 75+ technologists, backed by leaders with deep experience across
startups and global enterprises. We build strong, outcome-driven engineering teams that solve complex, real-world problems.
From GenAI applications and data platforms to enterprise-grade SaaS, we deliver scalable, reliable,
production-ready systems. Our expertise spans AI/ML, RAG systems, agentic workflows and large-scale data engineering- enabling businesses to move from idea to production with speed and confidence.
Our teams operate as a true extension of our clients, with full ownership and flexible engagement models focused on measurable business outcomes- not just delivery.
With 80+ AI implementations and proven success in scaling dedicated teams and driving significant cost efficiencies, we partner for long-term impact.
We bring experience across B2B and B2C SaaS, web and mobile platforms, e-commerce and domains
such as Conversational AI, HealthTech, IoT, ESG/Energy, and Data Engineering- thriving in fast-paced,
high-ownership environments.

The Vision:
To be the most trusted AI-native product engineering partner for innovative software companies worldwide, delivering ownership, speed, and measurable outcomes.

Role summary
Own end-to-end feature delivery across backend services (Java/Node. js/Javascript) and a
modern React UI. You’ll define API contracts and data models, harden reliability, and mentor
teammates while partnering closely with Product and Design.
● Clear communication and product sense; bias for pragmatic, secure solutions.
● Comfortable with design docs/RFCs, code reviews, cross-functional collaboration.
● Competence with Git, CI/CD, and observability (logs/metrics/traces).
● Sound security hygiene (least privilege, secret management, input validation).
● Thrive in an iterative startup environment with ownership and accountability.

What you’ll do
● Design and build scalable services in Java (SpringBoot) and Node.js /TypeScript
with clean REST APIs.
● Lead frontend implementation in React (hooks, routing, state management such as
Zustand).
● Shape data models for relational DBs (Postgres/MySQL), including indexing,
migrations, and query tuning.
● Establish service patterns: auth (OAuth/JWT), idempotency, retries/backoff,
observability, and cost/perf guardrails.
● Raise engineering quality: testing strategies (unit/integration/e2e), CI/CD, code
reviews, documentation.
● Collaborate on product discovery; translate user needs into pragmatic technical
designs.

What you’ve done
● 5+ years building production systems across Java and JavaScript/TypeScript.
● Delivered API-driven features end-to-end (contract design, versioning, pagination,
error models).
● Strong SQL fundamentals (joins, transactions, normalization) and practical ORM
experience.
● Solid React fundamentals and API-driven UI development.
Nice to have
● AI features in production (LLM tool use, RAG/embeddings, evaluations/guardrails).
● Working knowledge of telephony/voice (Twilio, SIP/WebRTC concepts).
● OpenTelemetry, security hardening, performance budgets, or cost optimization.

Success in 6–12 months
● Reliable services with clear SLOs and meaningful latency/error-budget
improvements.
● A shared service/component library and API guidelines that speed up delivery.
● Mentored engineers owning features confidently and shipping with quality.

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