Senior Architect – Data & AI

About Unosecur

Unosecur builds large-scale, cloud-native platforms that process massive volumes of data in real time and batch . Our systems are designed to be nimble, future-proof, and scalable , supporting cloud, hybrid, and on-prem deployments while leveraging modern open-source technologies.

Role Overview

We are looking for a Senior Architect to drive the design and evolution of data pipelines, distributed services, and AI-enabled systems at Unosecur.

This role is focused on system architecture, data flow design, orchestration, reliability, and scalability . You will play a key role in shaping platforms that ingest, process, store, and analyze large-scale data while also driving AI-related initiatives across the organization.

Security knowledge is a strong add-on , but not a constraint . The primary expectation is architectural excellence, technical leadership, and the ability to build systems that can evolve rapidly.

Key Responsibilities

Data Platforms & Pipelines

• Design and own end-to-end data pipelines supporting:

Real-time streaming systems

Batch and scheduled processing

• Architect platforms for high throughput, low latency, and fault tolerance
• Define ingestion, enrichment, aggregation, and storage strategies for large datasets
• Design systems to handle huge storage requirements with efficient data lifecycle management

Distributed Systems & Services

• Design scalable microservices using Node.js
• Architect workflow orchestration and long-running processes using Temporal
• Build and operate services on Kubernetes
• Ensure systems are resilient, observable, and easy to extend

AI & Advanced Systems

• Drive and architect AI-related initiatives , including:

Data pipelines for ML/AI workloads

Feature generation and data preparation systems

Integrating AI-driven components into production platforms

• Ensure AI systems are scalable, reliable, and production-ready
• Collaborate with data science and engineering teams to operationalize AI models

DevOps & SRE Leadership

• Drive and monitor DevOps and SRE initiatives across the platform
• Define reliability, availability, and performance standards (SLIs/SLOs/SLAs)
• Guide practices around:

CI/CD pipelines

Infrastructure automation

Observability and incident management

• Ensure systems are designed with operability and reliability as first-class concerns

Cloud, Open Source & On-Prem

• Architect solutions using cloud-native technologies while remaining portable
• Design systems that run in:

Public cloud

Hybrid environments

On-prem deployments

• Evaluate and adopt open-source technologies thoughtfully
• Design architectures that avoid vendor lock-in and remain future-proof

Collaboration & Leadership

• Act as a technical leader and strong team player
• Communicate architecture and design decisions clearly to:

Engineers

Product teams

Leadership

• Mentor engineers and raise overall engineering maturity
• Lead design reviews and guide long-term technical strategy

Required Qualifications

Core Technical Skills

• 15+ years of experience in software engineering and system architecture
• Strong background in distributed systems and data platforms
• Proven experience designing real-time and batch data pipelines

• Hands-on experience with:

Node.js

Kubernetes

Workflow orchestration (Temporal preferred)

• Deep understanding of:

Event-driven architectures

Asynchronous processing

Failure handling, retries, and back-pressure

Storage & Networking

• Experience designing systems with large-scale storage requirements
• Good understanding of networking fundamentals :

TCP/IP, DNS, load balancing

Service networking in distributed systems

• Ability to reason about latency, throughput, and failure modes

Good to Have

Experience with:

Streaming platforms (Kafka, Pulsar, etc.)

Analytical, time-series, or OLAP databases (ClickHouse)

• Exposure to AI/ML platforms or MLOps
• Cloud security and identity concepts
• Experience building multi-tenant platforms
• Familiarity with observability stacks (metrics, logs, traces)

What Success Looks Like

• Scalable and reliable data pipelines powering real-time and batch workloads
• Production-ready AI systems integrated into the platform
• Strong DevOps and SRE practices improving reliability and velocity
• Clear architectural direction enabling teams to move fast with confidence
• Systems that are built to evolve , not rewritten every year

Why Join Unosecur?

• Architect platforms handling massive data volumes
• Drive AI-enabled, future-ready systems
• High ownership and impact on platform direction
• Work across cloud, open source, and on-prem environments
• Collaborate with a strong, motivated engineering team