Senior Software Engineering Manager (DevOps)

About the role

TrueML is a mission-driven financial software company dedicated to creating personalized digital financial experiences for distressed borrowers. This role serves as a technical leader and strategist, overseeing the infrastructure, engineering, and people aspects of DevOps.

Responsibilities

• Define and execute the long-term strategic vision for IaC, CI/CD evolution, and cloud-native architecture.
• Lead the design and implementation of self-service internal platforms to reduce developer cognitive load.
• Drive cost-optimization initiatives and lead contract negotiations for the DevOps toolstack and third-party vendors.
• Ensure infrastructure architecture supports strict HA requirements and robust DR protocols.
• Leverage AIOps for predictive system maintenance and champion security by design.
• Serve as the ultimate escalation point for major production outages, focusing on systemic improvements.
• Maintain deep technical currency in container orchestration, serverless patterns, and automation frameworks.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 10+ years of experience in DevOps, SRE, or Software Engineering; 5+ years of experience managing engineers.
• Expert-level mastery with AWS and experience managing multi-region, high-availability deployments.
• Advanced experience with Kubernetes (K8s) and Docker, including cluster management, networking, and scaling in a production environment.
• Proficiency in Terraform to drive consistency and automation across all infrastructure layers.
• Deep experience designing and maintaining complex pipelines and mastery of scripting languages like Python, Go, or Bash.
• Hands-on experience with modern monitoring, observability, and tracing stacks and a firm grasp of SRE principles.
• Experience acting as an Incident Commander for high-severity outages and fostering a "blameless" post-mortem culture.
• Demonstrated ability to influence executive leadership and collaborate cross-functionally with Product, Engineering, and Security teams.
• Experience integrating AI-assisted productivity tools into the engineering workflow to accelerate delivery.