we are looking for a DevOps Team Lead for our global team.
As our DevOps Team Lead you will work with cutting-edge technologies and take ownership of building and evolving a scalable, globally distributed infrastructure.
The Opportunity:
Lead and mentor DevOps engineers, providing technical guidance, setting best practices, and supporting professional growth.
Collaborate closely with engineering, security and data teams to deliver scalable and reliable solutions.
Design, architect, deploy, and maintain robust cloud infrastructures across AWS and Azure.
Own and continuously improve CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
Implement and manage monitoring, logging, and alerting solutions to ensure system reliability and performance.
Provide hands-on troubleshooting and resolution of complex infrastructure issues across production, staging, and development environments.
Promote operational excellence, security best practices, and cost optimization across the cloud environment.
Act as a technical leader and decision-maker, balancing hands-on execution with strategic planning.
As our DevOps Team Lead you will work with cutting-edge technologies and take ownership of building and evolving a scalable, globally distributed infrastructure.
The Opportunity:
Lead and mentor DevOps engineers, providing technical guidance, setting best practices, and supporting professional growth.
Collaborate closely with engineering, security and data teams to deliver scalable and reliable solutions.
Design, architect, deploy, and maintain robust cloud infrastructures across AWS and Azure.
Own and continuously improve CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
Implement and manage monitoring, logging, and alerting solutions to ensure system reliability and performance.
Provide hands-on troubleshooting and resolution of complex infrastructure issues across production, staging, and development environments.
Promote operational excellence, security best practices, and cost optimization across the cloud environment.
Act as a technical leader and decision-maker, balancing hands-on execution with strategic planning.
Requirements:
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments.
At least 3 years of proven people-management and technical leadership experience, including mentoring engineers, leading initiatives, and driving execution across teams.
Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for building secure, resilient, scalable, and cost-efficient architectures.
Extensive hands-on experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Strong proficiency in automation and infrastructure-as-code, including Terraform, and hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins.
Solid experience with monitoring and logging solutions (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting and programming (e.g., Node.js, Bash) to automate workflows and improve operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Strong ownership mindset, with the ability to lead initiatives end-to-end and make data-driven technical and operational decisions.
Passion for learning new technologies and tackling complex challenges in a fast-paced, high-impact environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.
Preferred
Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments.
At least 3 years of proven people-management and technical leadership experience, including mentoring engineers, leading initiatives, and driving execution across teams.
Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for building secure, resilient, scalable, and cost-efficient architectures.
Extensive hands-on experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Strong proficiency in automation and infrastructure-as-code, including Terraform, and hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins.
Solid experience with monitoring and logging solutions (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting and programming (e.g., Node.js, Bash) to automate workflows and improve operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Strong ownership mindset, with the ability to lead initiatives end-to-end and make data-driven technical and operational decisions.
Passion for learning new technologies and tackling complex challenges in a fast-paced, high-impact environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.
Preferred
Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.
This position is open to all candidates.
