Software Engineer II focused on building scalable detection systems using AI tools at Abnormal AI. Collaborating with teams to enhance model serving infrastructure for data processing.
About the role
- Senior Software Engineer II developing observability tools for enhancing small business operations at Wave. Collaborating with teams to improve production visibility and analytics capabilities.
Responsibilities
- Build and Scale Observability-as-Code
- Design and maintain Python tooling and Terraform modules that standardize Datadog configuration across services.
- Eliminate manual setup by codifying monitors, dashboards, SLOs, and alerting patterns.
- Improve consistency, repeatability, and reliability of observability across the organization.
- Establish Reliable & Standardised Instrumentation
- Define and implement observability blueprints that integrate high‑fidelity metrics, logs, and traces into the development lifecycle.
- Codify best practices so teams get out-of-the-box visibility without needing deep observability expertise.
- Raise the baseline for service health, debuggability, and operational readiness
- Optimize Datadog Usage and Cost
- Own critical parts of the Datadog platform configuration.
- Improve data quality, signal-to-noise ratio, and alert reliability.
- Partner with teams to adopt telemetry effectively while managing ingestion and alerting costs.
- Maintain and Evolve Platform Components
- Upgrade and maintain tracers, agents, and shared observability libraries.
- Ensure upgrades are automated, backwards-compatible, and minimally disruptive to product teams.
- Reduce operational risk by improving rollout and validation processes.
- Integrate Observability Across Infrastructure
- Collaborate with Platform and Infrastructure teams to embed monitoring into systems such as Kafka, gRPC services, Kubernetes, and AWS-managed services.
- Improve production visibility and reduce mean time to detect (MTTD) and resolve (MTTR) incidents
- Deliver High-Quality, Production-Ready Code
- Write clean, well-tested, and maintainable Python code and Terraform modules.
- Participate in architecture and design reviews; provide thoughtful feedback in code reviews.
- Take ownership of projects end-to-end, from design and implementation through production rollout and support.
- Mentorship & Collaboration
- Assist team members to solve problems and develop their own skills.
- Foster a collaborative mindset within the team.
Requirements
- Degree in Computer Science, or related.
- 7+ years of experience in application development, platform engineering, or developer tooling.
- High proficiency in Python; solid experience with Terraform.
- Hands-on experience using Datadog for metrics, logging, tracing, dashboards, monitors, and alerts.
- Experience with containerized and cloud-native environments (e.g., Kubernetes, Kafka, AWS, gRPC, Lambda).
- Proven ability to independently drive medium-to-large initiatives from design to delivery.
- Comfortable making pragmatic tradeoffs to deliver reliable, scalable solutions.
- A strong product mindset for internal tools.
- Passion for reducing cognitive load, eliminating toil, and making observability easy to adopt by default.
- Solid understanding of modern web applications and distributed systems.
- Knowledge of how observability applies to high-throughput, highly available systems
- Clear written and verbal communication skills.
- Ability to influence technical direction through design discussions, documentation, and hands-on implementation.
- Comfortable partnering with product, platform, and infrastructure teams.
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