Engineering Manager – Backend & Infrastructure (AI Posture)
About The Position
As an Engineering Manager on the AI Posture team, you will lead a high-performing backend team of 8–10 engineers operating in one of our most complex and cross-functional domains. This role requires a blend of empathetic people leadership, operational excellence, and deep backend systems expertise—specifically around Go microservices, high-efficiency runtime environments, and lower-level infrastructure abstraction. You will lead with empathy to support, empower, and grow your engineers while staying on the cutting edge by being an AI-savvy leader—embracing AI-driven development practices, modern engineering tools, and intelligent automation to boost team productivity and runtime performance.
Requirements
- 5–7 years of experience in software engineering management leading distributed backend systems teams.
- 8+ years of hands-on software engineering experience with a strong systems-level foundation, with primary expertise in Go (Golang) and concurrent programming patterns.
- Proven track record of designing, building, and operating high-concurrency microservices architectures at scale.
- Deep understanding of infrastructure layers, container orchestration (e.g., Kubernetes, Docker), and cloud platforms (GCP, AWS, or Azure), with a focus on optimizing cost, latency, and resource utilization.
- Empathetic, people-first leadership style with demonstrated success in mentoring engineers and building cohesive, high-trust team environments.
- Forward-thinking approach to software engineering, with practical experience leveraging AI tools (e.g., AI coding assistants, automated testing/profiling) to elevate team productivity.
Nice To Haves
- Hands-on experience with network discovery, traffic analysis, packet processing, or network protocol engineering.
- Experience with cloud-native message brokers, event streams, and databases (e.g., Kafka, gRPC, BigQuery, Redis, MongoDB).
- Experience in cybersecurity, threat intelligence, cloud security posture management (CSPM), or AI risk vectors.
Responsibilities
- Empathetic Team Leadership: Build, mentor, and lead a backend engineering team using an empathy-first approach. Foster an inclusive culture of psychological safety, trust, empowerment, and continuous growth.
- AI-Savvy Engineering Culture: Drive the adoption of modern AI tooling, modern engineering practice innovations, and intelligent automation across the software development life cycle to accelerate development and improve code quality.
- Backend & Microservices Architectures: Lead the design, execution, and optimization of high-throughput, low-latency microservices built predominantly in Go.
- Infrastructure & Platform Interaction: Partner directly with Infrastructure and Platform teams to ensure services interact seamlessly with cloud infrastructure, optimizing runtime efficiency, memory usage, compute density, and hardware/cloud resources.
- Roadmap & Cross-Functional Alignment: Partner closely with Product Management, Security, and SRE teams to align priorities, translate technical strategy into execution, and deliver on multi-quarter roadmaps with predictability and speed.
- Operational Excellence & Observability: Drive production readiness by enforcing rigorous standards for deployment pipelines, telemetry, tracing, performance tuning, and incident response across critical backend services.
- Technical Communication: Clearly communicate technical trade-offs, systems architecture, risks, and strategies to executive leadership and strategic cross-functional partners.
Benefits
- The offered compensation may also include restricted stock units and a bonus.
- A description of our employee benefits may be found here.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
