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Job Closed

Software Engineer

  • Source: LinkedIn
  • Recrew AI
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role: Software Engineer

Function: Software Engineering / Full-Stack Development

Location: Bengaluru, India

Type: Full-time

Industry: Information Technology & Services, Computer Software, FinTech, Digital Identity

About Company

A Bengaluru-based enterprise tech startup founded in 2016. The company builds India’s digital trust infrastructure — covering e-signing, e-KYC, eNACH payment automation, and document workflows.

It serves 1,500+ enterprises and 100 million+ users. Backed by investors including Groww and Rainmatter, the company operates at the intersection of digital identity, regulatory compliance, and financial inclusion.

With a 90-person team, individual contributors create disproportionate impact here.

Position Overview

This role sits within a greenfield innovation unit working directly with Product and Engineering Leadership on a pipeline of AI-enabled enterprise products. You will own features end-to-end across the full stack, translating complex business workflows into production-grade systems that redefine how enterprises operate in an AI-first world. Expect direct exposure to enterprise customers and periodic involvement in product demos and solution pitches.

Role & Responsibilities

  • Map business processes and enterprise customer pain points into scoped engineering problems with measurable outcomes.
  • Architect, build, and iterate on MVPs and prototypes across frontend, backend, and infrastructure — from conception through deployment.
  • Design microservices for scale, cost efficiency, and performance, with rigorous attention to security and regulatory constraints.
  • Build and maintain CI/CD pipelines using containerization and IaC tooling across major cloud environments.
  • Integrate and evaluate LLM-driven development patterns, model fine-tuning, and AI tooling within the SDLC.
  • Collaborate with internal stakeholders and enterprise customers to validate solutions and drive adoption.
  • Read and assess regulatory guidelines (RBI, SEBI, data privacy frameworks) for impact on product features and customer journeys.

Must Have Criteria

  • 3–5 years of professional full-stack software engineering experience across backend, frontend, and DevOps.
  • Strong CS fundamentals — data structures, algorithms, complexity analysis — demonstrable through system design and trade-off discussions.
  • Hands-on experience with microservices architecture, REST API lifecycle management, and interoperable product ecosystems.
  • Proficiency in at least one backend language (Python or Java preferred); working knowledge of a frontend framework (React or Angular).
  • Experience with deployment pipelines using Docker and at least one cloud provider (AWS, GCP, or Azure).
  • Practiced in Test-Driven Development (TDD) with a structured testing approach across unit, integration, and E2E layers.
  • Exposure to ML/LLM-driven development — including prompt engineering, LLM API integration, or model fine-tuning workflows.

Nice to Have

  • Prior experience in FinTech, digital identity, security, or data privacy domains.
  • Experience building and launching customer-facing products from zero to one in a startup or high-growth environment.
  • Familiarity with message queue systems such as Kafka, Redis, or RabbitMQ in production workloads.
  • Comfort presenting to or demoing products for enterprise customers or non-technical stakeholders at short notice.
  • Exposure to regulatory reading — RBI circulars, SEBI guidelines, or DPDP Act — and translating them into product and engineering decisions.

What We Offer

  • Direct collaboration with hands-on Engineering and Product Leadership on greenfield, high-visibility projects.
  • End-to-end ownership of features — from architecture decisions to customer deployment — with no artificial scope limits.
  • Exposure to enterprise customers and real-world regulatory environments across India’s financial and identity infrastructure.
  • A compact, high-trust team where your work ships fast and impacts millions of users directly.
  • Opportunity to work at the frontier of AI-enabled enterprise products within a compliance-grade, production environment.

Skills

  • Python
  • Java
  • React
  • Docker
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure
  • Kafka
  • Redis
  • RabbitMQ
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