Full Stack Engineer_Juno Labs (AIML)

Resolve Tech Solutions · Bangalore, India

FULL STACK ENGINEER_Juno Labs_Bengaluru

React • Python • MLOps • Cloud • Production Engineering

Experience: 5–10+ years

Role Overview

We are looking for an experienced Full Stack Engineer with strong hands-on expertise in React, Python, and MLOps to build and operate modern enterprise applications. The role requires end-to-end engineering ownership across user interfaces, APIs, microservices, data, AI-enabled workflows, testing, cloud deployment, observability, and production support. The ideal candidate combines strong application-development fundamentals with practical cloud and MLOps experience and can collaborate effectively with product, architecture, QA, DevOps, and business teams.

Key Responsibilities

• Own full-stack features from technical design and development through integration, testing, deployment, monitoring, and production support.
• Work with product owners, architects, business stakeholders, QA, and DevOps teams to clarify requirements, workflows, constraints, and technical trade-offs.
• Design and build responsive web applications using React / Next.js and scalable backend services using Python, FastAPI, Flask, Node.js, or Golang.
• Design secure REST APIs, microservices, Kafka-based event-driven workflows, and resilient enterprise integration patterns.
• Build and operationalize AI-enabled capabilities using LLMs, RAG, MCP, agentic workflows, prompt engineering, evaluation, guardrails, and MLOps practices.
• Optimize frontend, API, database, caching, and distributed-system performance through profiling, load testing, tuning, and scalability improvements.
• Automate quality using unit, integration, API, UI, regression, and performance testing, with Playwright for end-to-end automation.
• Deploy and operate containerized applications using Docker, Kubernetes, Terraform, Terragrunt, CI/CD, and AWS, Azure, or GCP.
• Implement observability and enterprise integrations using ServiceNow, Datadog, OpenTelemetry, Splunk, LogicMonitor, CloudWatch, and similar platforms.
• Troubleshoot production issues using logs, metrics, traces, and root-cause analysis; implement durable corrective and preventive actions.
• Create technical documentation, architecture views, runbooks, deployment guides, and reusable engineering patterns; mentor team members where required.

Required Technical Skills

Capability Area

Expected Experience

Full-Stack Engineering

React, Next.js, TypeScript/JavaScript; Python, FastAPI, Flask, Node.js, or Golang. Strong ownership across frontend, backend, API integration, and reusable application design.

APIs, Microservices & Kafka

REST APIs, microservices, distributed systems, authentication, resiliency, retries, idempotency, Kafka-based event-driven architecture, and enterprise integrations.

AI, LLM & MLOps

LLMs, RAG, MCP, agentic AI, prompt engineering, embeddings, vector search, evaluation, guardrails, model/application deployment, monitoring, and cost controls.

Data, SQL/NoSQL & Redis

PostgreSQL, Oracle, MongoDB, DynamoDB, SQL/NoSQL, Redis, data modeling, indexing, query tuning, transactions, and caching patterns.

Performance Engineering

Frontend and backend profiling, load testing, concurrency, latency reduction, API/database tuning, caching, scalability, reliability, and cloud cost optimization.

QA & Test Automation

Unit, integration, API, UI, regression, and performance testing; Playwright as a core end-to-end automation skill.

Cloud, DevOps & IaC

AWS/Azure/GCP, Docker, Kubernetes, Terraform, Terragrunt, CI/CD, IAM, secrets, networking, environment promotion, deployment, rollback, and production operations.

Observability & Integrations

ServiceNow, Datadog, OpenTelemetry, Splunk, LogicMonitor, CloudWatch; logs, metrics, traces, dashboards, alerting, health checks, and incident diagnostics.

Production & Security

Strong debugging, production support, root-cause analysis, secure coding, OWASP, API security, encryption, least privilege, and operational readiness.

Experience & Qualifications

• 5–10+ years of professional software engineering experience, with strong hands-on delivery across frontend, backend, cloud, and production environments.
• Experience in full-stack product engineering, platform engineering, enterprise application development, implementation, or solution delivery is highly valuable.
• Ability to convert business requirements into practical technical designs, incremental releases, and reliable production solutions.
• Experience working in Agile teams across product, QA, DevOps, security, architecture, and business stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

Core Behaviors & Soft Skills

• Excellent verbal and written communication with the ability to explain complex technical topics to business and technical stakeholders.
• Strong ownership, product thinking, engineering discipline, and accountability for outcomes—not only assigned tasks.
• Comfortable working in fast-moving environments with a bias for action, structured problem-solving, and continuous learning.
• Collaborative, low-ego team player who communicates risks early and remains calm during production incidents.

Preferred / Nice-to-Have

• Experience moving AI-enabled or data-intensive applications into secure production services; exposure to vector databases, LLM evaluation, AI security, SRE, high-availability design, mentoring, and relevant cloud or Kubernetes certifications is a plus.