We are looking for a Solutions Engineer who has spent most of their career designing, optimizing, and modernizing large-scale systems, not just building features.

This role sits at the intersection of architecture, engineering, and problem-solving. You will work on legacy-to-modern migrations, system upgrades, scalability planning, and high-throughput architectures capable of handling 1M+ requests per day.

You should be comfortable reviewing existing systems, identifying bottlenecks, proposing future-proof architectures, and guiding teams through execution.

Key Responsibilities

Architecture & System Design

• Analyze existing monolithic or legacy systems and design modern, scalable architectures
• Plan and execute system upgrades (performance, reliability, security, maintainability)
• Design microservices-based architectures with clear service boundaries
• Define data flow, event-driven systems, and async processing

Scalability & Performance

• Design systems to reliably handle 1M+ requests/day
• Identify and resolve performance bottlenecks (API, DB, queues, search, caching)
• Implement horizontal scaling, load balancing, and fault tolerance
• Optimize database queries, indexing, and data models

Technology & Implementation

• Work hands-on when needed and guide teams on best practices
• Design and review APIs, services, and integrations
• Work with message queues, search engines, and distributed systems
• Support ML-powered workflows (data pipelines, inference integration, async processing)

Collaboration & Ownership

• Translate business requirements into technical solutions
• Review code, architecture diagrams, and deployment strategies
• Work closely with backend, frontend, DevOps, and ML teams
• Act as a technical owner for complex initiatives

Required Technical Skills

You must have strong, real-world experience with most of the following:

Backend & APIs

• Python
• Node.js
• Laravel (PHP)

Frontend

• Vue.js (Vue 2 or Vue 3)

Databases & Storage

• MongoDB (schema design, performance tuning, sharding concepts)
• PostgreSQL (indexes, query optimization, migrations)

Search & Messaging

• Elasticsearch (index design, search optimization)
• Kafka (event-driven systems, async processing)

Architecture

• Microservices
• REST / event-driven architectures
• System modernization and legacy migration

ML Exposure (Not Pure ML Role)

• Experience integrating ML models or pipelines into production systems
• Understanding of inference workflows, async processing, and data pipelines

Nice to Have

• Experience with high-traffic SaaS or fintech platforms
• Cloud-agnostic architecture experience (AWS / GCP / on-prem / hybrid)
• Experience designing event-driven or streaming architectures
• Familiarity with DevOps concepts (CI/CD, containerization, observability)

What We’re Looking For (Important)

This role is NOT for:

• Pure frontend developers
• Junior or mid-level engineers
• Developers who only follow tickets

This role IS for someone who:

• Thinks in systems and architecture
• Has modernized real production systems
• Can confidently say: “I’ve scaled systems, migrated legacy platforms, and designed architectures that last.”

Engagement Details

• Remote
• Long-term engagement preferred
• Flexible working hours with a strong ownership mindset