Intermediate to Senior Software Engineer

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.

Design, develop, test, and operate cloud-native microservices and platform components that form the backbone of the DataStealth 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, TypeScript/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 DevSecOps 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 CloudFormation)

Design and manage CI/CD pipelines, container orchestration (Kubernetes/Docker), and observability stacks (Prometheus, Grafana, OpenTelemetry, 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., GitHub 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 Customer Success to translate complex requirements into well-scoped engineering plans

3+ years of professional software development experience, ideally including work on security, infrastructure, or data-intensive products

Track record of shipping production services and contributing to on-call or incident response rotations

Experience with configuration-as-code (we use Groovy) and infrastructure-as-code tooling

Familiarity with observability practices (structured logging, distributed tracing, metrics)

Proficiency in at least two of the following: Java (Must Have) , TypeScript/Node.js, Golang, Rust—with demonstrated willingness and ability to learn the others

Experience designing and developing distributed systems, microservices, or platform-level software

Solid understanding of cloud platforms (AWS, Azure, or GCP) including core services (compute, storage, networking, IAM)

Hands-on experience with Linux systems, shell scripting, and system-level debugging

Strong grasp of networking fundamentals (HTTP/S, TLS, SSH, DNS, TCP/IP) and how they apply to distributed systems

Working knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)

Experience with agentic AI development tools (Copilot, Cursor, Claude Code, or similar) as part of a deliberate, quality-driven engineering workflow—not as a substitute for understanding

Comfort working in a hybrid environment (Mississauga office, 4 days/week)

5+ years of professional software development with meaningful experience in polyglot, multi-service environments

Demonstrated ability to lead technical design for complex features or system components end-to-end

Deep experience with at least one major cloud provider at a production scale, including cost optimization and multi-region architectures

Track record of mentoring engineers, driving engineering standards, and influencing technical direction

Experience building or contributing to security products (data security, cryptography, tokenization, key management) is a strong differentiator

Familiarity with compliance frameworks (PCI-DSS, SOC 2, GDPR) as they relate to platform engineering

Experience with data security, encryption/cryptography, tokenization, or privacy-enhancing technologies

Applying AI technologies and models to security domain problems

Contributions to open-source projects in infrastructure, security, or developer tooling

Experience with event-driven architectures (Kafka, RabbitMQ, NATS)

Familiarity with database systems across paradigms (PostgreSQL, Redis, Elasticsearch, DynamoDB)

Direct experience with performance analysis and profiling across polyglot systems (Java, Node.js, Go, Rust), utilizing platform-specific tools like VisualVM/JProfiler (for Java), pprof (for Go), or Chrome DevTools/V8 Profiler (for Node.js) to diagnose and resolve issues such as memory leaks, thread contention, and critical path latency in high-throughput services.

This posting is for an existing vacancy. We use artificial intelligence (AI) to screen, assess, and select applicants.

DataStealth is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

Candidates must be able to commute and work in our Mississauga office 4 days/week.

We look forward to reviewing your application!