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Intermediate to Senior Software Engineer

Job in Mississauga, Ontario, Canada
Listing for: DataStealth.io
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    Backend Developer, DevOps, Cloud Engineer - Software, AWS
Salary/Wage Range or Industry Benchmark: 100000 - 110000 CAD Yearly CAD 100000.00 110000.00 YEAR
Job Description & How to Apply Below

About Data Stealth

Data Stealth is a single, unified data security platform (DSP) that discovers, classifies, and protects sensitive data across your entire environment, from on‑premise to legacy cloud to cloud. It protects data wherever it lives or flows, enabling security without complex integrations or changes to existing applications. By applying data protection strategies such as tokenization, it ensures that even if your perimeter is breached, the data remains unusable in the wrong hands.

About

You

You’re a technically strong, systems‑minded developer who takes end‑to‑end ownership—designing, building, and operating production services in a fast‑moving scale‑up environment. With strong Java fundamentals and hands‑on Linux experience, you troubleshoot complex distributed systems issues and improve performance, reliability, and maintainability through thoughtful architecture and clean refactoring. You collaborate well across Engineering, Security, and customer‑facing teams, raise the bar through mentorship and documentation, and use AI‑assisted development tools as disciplined accelerators while maintaining rigorous review, testing, and production‑quality standards.

Role Overview

We are building the next generation of our platform and expanding our engineering team with polyglot developers who think in systems, not just features. You will work across our stack—designing, building, and operating high‑scale distributed services that protect some of the world’s most sensitive data. This is hands‑on, high‑impact work where your code ships to production and directly safeguards enterprises globally.

Based in Mississauga with a hybrid schedule (4 days in‑office per week), you will join a collaborative, fast‑moving team where engineering ownership is real: you design it, you build it, you run it.

Key Responsibilities
  • Design, develop, test, and operate cloud‑native microservices and platform components that form the backbone of the Data Stealth DSP.
  • Build and scale distributed systems that handle high‑throughput data discovery, classification, and protection across heterogeneous environments (cloud, hybrid, on‑premise, SaaS).
  • Architect for resilience, observability, and performance—designing services that degrade gracefully, emit meaningful telemetry, and meet strict latency requirements.
  • Work across the stack using the right language for the job:
    Java, Type Script/Node.js, Golang, and Rust.
  • Contribute to security products that implement tokenization, encryption, masking, and key management at enterprise scale.
  • Apply secure coding practices, threat modeling, and Dev Sec Ops  principles as first‑class engineering concerns—not afterthoughts.
  • Collaborate with security architects to ensure platform changes maintain compliance with PCI‑DSS, SOC 2, and other regulatory frameworks.
  • Deploy and operate services across AWS, Azure, and GCP using infrastructure‑as‑code (Terraform, Pulumi, or Cloud Formation).
  • Design and manage CI/CD pipelines, container orchestration (Kubernetes/Docker), and observability stacks (Prometheus, Grafana, Open Telemetry, ELK).
  • Optimize cloud cost, performance, and reliability through data‑driven capacity planning and SRE practices.
  • Practice agentic software engineering: use AI development tools (e.g., Git Hub Copilot, Claude Code, Open Source AI coding tools) as disciplined engineering partners—directing agents to plan, write, and test code while maintaining full engineering ownership and judgment.
  • Distinguish between rapid AI‑assisted prototyping and production‑grade agentic workflows; apply rigorous review, testing, and validation to all AI‑generated code before it reaches production.
  • Contribute to the team’s AI‑augmented engineering practices: prompt engineering, context engineering, automated code review with AI, and AI‑assisted testing strategies.
  • Participate in architecture discussions, design reviews, and technical decision‑making across squads.
  • Mentor intermediate and junior developers, fostering a culture of continuous learning and engineering excellence.
  • Maintain and improve technical documentation, runbooks, and onboarding materials.
  • Work cross‑functionally with Product, Security, and…
Position Requirements
10+ Years work experience
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