Manager, Software Engineering

Extensive experience in site reliability engineering, DevOps practices, platform engineering, infrastructure management, operational efficiency, cloud infrastructure, or production operations.

Proven experience leading and managing engineers, fostering a culture of collaboration, accountability, ownership, and continuous improvement.

Strong understanding of reliability engineering, operational excellence, incident management, escalation management, observability, production support, and scalable system operations.

Strong working knowledge of cloud technologies, especially AWS; Azure experience is a plus.

Familiarity with operating and supporting containerized platform environments, including Kubernetes/EKS, Docker, Helm, and Linux-based systems.

Familiarity with infrastructure as code, configuration management, and automation practices using tools such as Terraform and Ansible.

Understanding of CI/CD pipelines, release automation, deployment practices, and developer tooling such as Jenkins, GitHub Actions, Artifactory, or similar tools.

Proficiency with scripting and automation concepts using languages such as Python, Bash, or Groovy.

Experience with monitoring, logging, and observability tools such as ELK stack, Prometheus, Grafana, CloudWatch, or similar platforms.

Working knowledge of security, application security, vulnerability management, compliance controls, audit readiness, and vendor management in a cloud or SaaS environment.

Familiarity with Agile/Scrum practices, sprint planning, backlog management, quarterly planning, roadmap development, and cross-team dependency management.

Excellent problem-solving and analytical skills, with the ability to assess situations quickly, prioritize work, manage escalations, and balance competing technical and business priorities.

Strong presentation and facilitation skills, with the ability to communicate clearly and confidently with technical teams, senior leaders, executives, vendors, and cross-functional stakeholders.

Ability to guide technical discussions, evaluate trade-offs, balance reliability, security, compliance, delivery speed, and operational efficiency, and help teams make sound engineering decisions.

Experience improving operational processes, reducing manual toil, mentoring engineers, managing delivery, and building healthy, accountable teams.

Experience with Java-based services, build systems, or code review workflows is a plus.

Comfort using or encouraging AI-assisted engineering tools responsibly within company guidelines.

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. A Master’s degree is a plus.