DevOps Engineer

As a Dev Ops Engineer, you will play a critical role in building and maintaining the infrastructure, tooling, and cloud-native systems powering our clients' portfolio management and trading applications.

You will work closely with engineering teams to design scalable environments, streamline CI/CD, automate deployments, and ensure the reliability, security, and observability of production systems. This role is ideal for someone who thrives in fast-moving environments, learns quickly, and takes full ownership of delivery.

• Build, enhance, and maintain CI/CD pipelines using Jenkins, Git Lab Runners, or similar tools.
• Design and manage cloud-native infrastructures (AWS preferred), including networking, compute, IAM, and managed services.
• Automate environment provisioning using Infrastructure-as-Code (Terraform).
• Implement and manage containerized workflows with Docker and Kubernetes (EKS or similar).
• Collaborate with engineering teams to support deployments of C#, Python, and React-based applications.
• Develop internal tooling for build automation, monitoring, logging, and performance optimization.
• Improve release processes, reduce deployment friction, and increase system reliability.
• Monitor environments using Datadog, Cloud Watch, or equivalent observability tooling.
• Troubleshoot high-priority production issues and drive root-cause analysis.
• Promote Dev Ops best practices around version control, branching strategies, testing, and automation.
• Ensure operational maturity, including backup strategies, access controls, and security reviews.

• 5+ years of Dev Ops/SRE/Platform Engineering experience in cloud-native environments.
• Strong hands‑on experience with AWS (EC2, ECS/EKS, Lambda, S3, IAM, VPC, Cloud Formation/Terraform).
• Expertise in CI/CD pipelines— Git Lab, Jenkins, Git Hub Actions, or equivalent.
• Strong containerization experience (Docker; Kubernetes/EKS strongly preferred).
• Infrastructure‑as‑Code (IaC) with Terraform.
• Scripting skills in Python.
• Familiarity supporting C#/.NET Core, Python services, and React front‑end builds.
• Experience building secure, scalable, and highly available production environments.
• Strong understanding of networking, monitoring, logging, and alerting frameworks.
• Ability to work independently in a high‑paced, high‑ownership environment.

• Experience supporting financial systems, trading platforms, or real‑time applications.
• Familiarity with SQL Server and data‑centric workflows.
• Knowledge of microservices, REST APIs, and distributed system design.
• Experience with Agile/Scrum and modern SDLC practices.

$120,000 - $175,000 a year

Actual compensation may vary based on factors such as role, work experience, education and training, skill level, market conditions, and the candidate's geographic location.

We offer a competitive compensation package, including a base salary, comprehensive health care coverage, disability benefits, a 401(k) match, life insurance, paid personal days, paid holidays, and paid time off, among other benefits.

For those in eligible roles, a discretionary bonus may be awarded based on company performance and in recognition of individual achievements and contributions.

Additional details about total compensation and benefits details during the hiring process.

McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital‑efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer‑centric applications, modernizing systems for cost‑effectiveness and security, and leveraging cloud scalability for future‑ready architectures.

With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI‑optimized operations, ensuring seamless, secure, and efficient performance.

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