Python Developer with SRE - Site Reliability Engineering

NTT DATA•Montreal, QC

50d

About The Position

We are seeking a skilled Python Developer with experience in the Site Reliability Engineering (SRE) domain to build automation tools, improve system reliability, and support scalable infrastructure. The ideal candidate will develop quality software working with public cloud service provider (CSP) infrastructure across different Public Cloud areas and is proficient with various Object-Oriented development tools and techniques. The individual should be experienced with Python and Terraform development as well as NoSQL databases. Good problem-solving skills and taking ownership of items independently while tracking to closure are also an absolute must. The candidate will liaise with global teams to understand requirements, develop high quality code, and deliver projects. The position requires attention to detail, coupled with ownership, to ensure the delivery of high-quality applications.

Requirements

3+ years of experience with Python development.
6 years of experience working with Infrastructure as Code (Terraform and Ansible).
Experience with CI/CD pipelines, preferably GitHub Actions and Jenkins.
Strong understanding of object-oriented design and development principles.
Proficiency in Linux/Unix environments.
Experience working with database technologies (preferably NoSQL), including data modeling, testing, and performance tuning.
Ability to write reusable, optimized, maintainable, and well‑documented code following industry best practices.
Experience implementing open-source monitoring and observability tools such as Prometheus, Grafana, Splunk or Open Telemetry.
Strong problem‑solving skills and ability to take ownership of tasks and drive them independently to closure.
Understanding of networking concepts (TCP/IP, DNS, Load Balancing)

Nice To Haves

Experience building cloud automation specifically for Azure.
Experience evaluating new DevOps tools or contributing to internal automation frameworks.
Exposure to multi-cloud environments or additional CSPs (AWS, GCP).
Familiarity with containerization or orchestration (Docker, Kubernetes).
Experience with high-scale systems or fintech platforms
Exposure to security and compliance practices
Knowledge of performance optimization and capacity planning

Responsibilities

Perform hands-on development and design of Python-based applications.
Develop, enhance, and integrate automation workflows for Public Cloud Service Providers (CSP), initially focused on Azure, and integrate with in-house tooling.
Integrate automation workflows into CI/CD pipelines using GitHub Actions and Jenkins.
Build proof-of-concept solutions in new areas of cloud and automation development.
Provide technical support and debugging for application failures in both on-premises and cloud environments.
Participate in all phases of the Software Development Life Cycle (SDLC), including analysis, design, coding, testing, and deployment.
Evaluate, onboard, and implement emerging DevOps and automation tools to improve efficiency.
Build and integrate observability into cloud platforms and solutions using open-source tools (Prometheus, Grafana, OpenTelemetry).
Identify, highlight, and reduce operational toil through automation, architectural improvements, and process optimization.
Collaborate with global teams to understand requirements, develop high‑quality code, and deliver cloud-focused projects.