Join our dynamic and forward-thinking Platform Engineering team at a world-class analytics company. Our solutions power critical decisions in fraud, risk, marketing, and customer management for thousands of businesses worldwide. As part of this team, you ll design and develop resilient, scalable services and automation pipelines, ensuring an outstanding developer experience and accelerating innovation across the organization. - Sr. Director, 1ES Engineering
What You ll Contribute
Platform Services: Collaborate with cross-functional teams to architect, build, and maintain platform services that provide reliable, scalable, and secure solutions.
Automation Integration: Develop and integrate automation tools and services, streamlining workflows and ensuring continuous delivery of software across multiple environments.
DevOps Pipelines: Own and evolve CI/CD pipeline capabilities, championing best practices that optimize speed, quality, and reliability of deployments.
Developer Experience: Innovate and implement tools, frameworks, and processes that enhance developer productivity, reduce friction, and improve self-service capabilities.
Performance Scalability: Identify and mitigate bottlenecks, optimize performance, and ensure high availability and fault tolerance across all services.
Continuous Improvement: Stay current on emerging technologies and best practices in Platform Engineering, proactively suggesting enhancements and improvements for organizational benefit.
Collaboration Mentorship: Partner with diverse teams to share knowledge, provide technical guidance, and promote a culture of learning and growth.
What We re Seeking
Strong Platform Engineering Background: Proven experience designing, implementing, and managing highly available, scalable, and secure platform services.
DevOps Expertise: Deep understanding of modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), automated testing, and observability.
Cloud Containerization: Hands-on experience with public cloud providers (e.g., AWS), container orchestration (Kubernetes), and containerization technologies (Docker).
Automation Proficiency: Skilled in scripting and configuration management (e.g., Ansible, Terraform, Crossplane) to drive efficiencies and reduce manual overhead.
Programming Skills: Proficient in one or more programming languages (Python, Go, NodeJS, etc.) with a focus on building robust, testable code.
Monitoring Logging: Familiarity with tools such as DataDog, CloudWatch, Prometheus, Grafana, and best practices for monitoring, logging, and incident management.
Collaboration Communication: Excellent interpersonal skills to collaborate effectively with both technical and non-technical stakeholders.
Educational Background: A Bachelor s degree in Computer Science, or a related field (or equivalent experience).
Job Classification
Industry: Analytics / KPO / Research Functional Area / Department: Engineering - Software & QA Role Category: DevOps Role: DevOps - Other Employement Type: Full time