Senior Software Engineer (C#, Azure, DevOps)

WaferWire Cloud Technologies; Los Angeles (CA); On-site; USD 85,000 - 100,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life

PTO

Holidays

401(k) benefits

Job summary

WaferWire Cloud Technologies is seeking a Senior Software Engineer to join the Platform Team, building scalable, secure backend services and APIs for platform operations. You will drive automated testing within CI/CD, leverage AWS/Azure cloud native tech, and collaborate with QA, Security, and Infra teams to ensure reliable releases.

The role emphasizes DevOps pipelines, observability with tools like Datadog, and AI-enabled SDLC practices, with a focus on modern cloud-native architectures and

Qualifications

• 5+ years of software engineering experience
• Proficiency in C#
• Automation tool testing experience (PostMan, Bruno, SpecFlow, cucumber)
• End to end test automation experience covering APIs, batch processing, and big data validation.
• Architecture: Strong understanding of RESTful API design, OAuth2, and microservices architecture.
• Cloud: Experience with cloud platforms (AWS/AKS preferred), Azure Cosmo DB with AI Search, and infrastructure-as-code (Terraform)
• DevOps: Familiarity with tools such as Jenkins, TeamCity, GitHub Actions, and ArgoCD
• Containers & Observability: Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog, Prometheus)
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills for cross-team collaboration.

Responsibilities

• Implement and maintain automated testing (unit, integration, and smoke tests) to improve delivery confidence and reduce production risk
• Embed automated testing and quality gates into CI/CD workflows to support reliable releases.
• Proficiency in AWS and Azure Cloud native technologies and experience with Azure migration
• Familiarity with DevOps tools
• Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog)
• Operate in an AI driven SDLC environment and familiarity with AI code assistants like GitHub Copilot or similar tools
• Design and develop backend services and APIs to support platform operations, including release engineering, DevOps pipelines, and system integrations
• Collaborate with QA, Security, and Infrastructure teams to ensure seamless deployment and performance of platform tools
• Implement monitoring and alerting solutions to ensure SLA adherence and rapid incident response
• Contribute to engineering best practices and drive knowledge sharing across the platform domain
• Support platform releases through validation, monitoring, and post deployment oversight

Skills

C#

REST API

OAuth2

Microservices

Azure

AWS

Terraform

CI/CD

Jenkins

GitHub Actions

ArgoCD

Datadog

Prometheus

Postman

SpecFlow

Cucumber

Bruno

AKS

Cosmos DB AI Search

Tools

Azure Cosmos DB AI Search

Terraform

Jenkins

TeamCity

GitHub Actions

ArgoCD

Datadog

Prometheus

Job description

Job Title: Senior Software Engineer (C#, Azure, DevOps)

About WCT

WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world’s most innovative companies. As a WCT employee, you’ll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.

Role Overview:

We are seeking a Senior Software Engineer to join the Platform Team, contributing to the development of scalable, secure, and resilient systems that support core platform services and infrastructure. The ideal candidate will have strong technical expertise in platform engineering, cloud-native architectures and Automation Testing, working closely with cross-functional teams to deliver high-quality solutions.

Key Responsibilities

• Implement and maintain automated testing (unit, integration, and smoke tests) to improve delivery confidence and reduce production risk


• Embed automated testing and quality gates into CI/CD workflows to support reliable releases.


• Proficiency in AWS and Azure Cloud native technologies and experience with Azure migration


• Familiarity with DevOps tools


• Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog)


• Operate in an AI driven SDLC environment and familiarity with AI code assistants like GitHub Copilot or similar tools


• Design and develop backend services and APIs to support platform operations, including release engineering, DevOps pipelines, and system integrations


• Collaborate with QA, Security, and Infrastructure teams to ensure seamless deployment and performance of platform tools


• Implement monitoring and alerting solutions to ensure SLA adherence and rapid incident response


• Contribute to engineering best practices and drive knowledge sharing across the platform domain


• Support platform releases through validation, monitoring, and post deployment oversight

Qualifications

• Experience: 5+ years of software engineering experience


• Languages: Proficiency in C#


• Automation tool testing experience (PostMan, Bruno, SpecFlow, cucumber)


• End to end test automation experience covering APIs, batch processing, and big data validation.


• Architecture: Strong understanding of RESTful API design, OAuth2, and microservices architecture.


• Cloud: Experience with cloud platforms (AWS/AKS preferred), Azure Cosmo DB with AI Search, and infrastructure-as-code (Terraform)


• DevOps: Familiarity with tools such as Jenkins, TeamCity, GitHub Actions, and ArgoCD


• Containers & Observability: Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog, Prometheus)

Preferred Qualifications

• Ability to work independently and collaboratively in a fast-paced environment.


• Strong problem-solving skills and attention to detail.


• Excellent communication skills for cross-team collaboration.

Compensation / Salary Range:

The typical pay range for this role is: USD $85,000/Yearly - $100,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits:

• Medical


• dental


• Vision


• Life


• PTO


• Holidays


• 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.

WCT will accept applications and processes offers for these roles until the role is filled.

Equal Employment Opportunity Declaration:

WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances