Lead DevOps Engineer

Lead DevOps Engineer Employment type: 12-month contract with possibility of renewal depending on business needs and personal performance. Pay in USD.
Location: Remote in Latin America. Preferred locations include Peru, Mexico, Brazil, Chile, Bolivia, Ecuador, or Colombia.
Timezone: Must be able to work on US time zone.

About Us
Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.

We are purpose-built, merging the industry’s top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience development, and technical platform integration, automation & security engineering.

About The Role
We are seeking a Lead DevOps Engineer to join our client’s Global Business Services team , where the mission is to improve and transform internal technology infrastructure, including IT operations, workplace technologies, cybersecurity, architecture, engineering services, and enterprise systems.

The Lead DevOps Engineer is responsible for designing, building, and optimizing enterprise-scale software systems and cloud platforms. This role combines deep technical expertise with leadership in DevSecOps, platform engineering, and cloud architecture.

You’ll drive innovation, ensure engineering excellence, and lead cross-functional initiatives to deliver secure, scalable, and high-performing solutions. In addition to technical execution, you’ll play a key role in mentoring teams, influencing technical strategy, and integrating emerging technologies such as generative AI into engineering practices.

You’ll report to the Manager of DevSecOps Engineering and work alongside a collaborative team of engineers. As part of a global DevOps community, you’ll join a network of professionals who collaborate, support, and inspire each other while investing in continuous learning and innovation.

What You'll Do
Lead the design and engineering of scalable, secure, and resilient enterprise software and cloud platforms.
Define and implement best practices in software development, DevSecOps, and infrastructure automation.
Oversee deployment, monitoring, and maintenance of platforms using SRE principles.
Architect and manage cloud infrastructure (AWS, Azure, GCP) with focus on performance, cost-efficiency, and compliance.
Lead the development and optimization of CI/CD pipelines and Infrastructure as Code (IaC) practices.
Guide the adoption of containerized and serverless architectures (Docker, Kubernetes, AKS, Azure Functions).
Ensure adherence to security standards, conduct risk assessments, and drive compliance initiatives.
Translate complex business requirements into scalable technical solutions and roadmaps.
Mentor and coach engineering teams, fostering a culture of collaboration and continuous improvement.
Explore and integrate generative AI technologies to enhance automation and software capabilities.

What We’re Looking For
Bachelor’s degree in Computer Science, Information Systems, or related technical field.
7+ years of experience in software engineering, DevSecOps, or platform engineering.
3+ years in a technical leadership role.
2+ years of experience with AI and generative AI technologies, or equivalent exposure.
Proven background in enterprise-scale application and infrastructure operations.
Advanced scripting skills (Bash, Python) for automation and infrastructure tasks.
Deep expertise with programming frameworks (.NET, Java) and modern application development.
Extensive experience with Infrastructure as Code (IaC) tools such as Terraform, including module development.
Proficiency with CI/CD tools (Azure DevOps, Jenkins, GitLab CI, GitHub Actions).
Strong architectural knowledge of cloud platforms (AWS, Azure, GCP).
Familiarity with SRE practices and tools for monitoring, incident management, and performance tuning.
Excellent problem-solving and decision-making skills in complex environments.
Strong communication and collaboration skills, with the ability to influence stakeholders and lead teams.
Relevant certifications (e.g., Azure/AWS DevOps, PSD) are preferred.