Sr. Director, Cloud Engineering
TraceLink
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
TraceLink is seeking a strategic and hands-on Senior Director of Cloud Engineering to lead a multi-disciplinary organization spanning Site Reliability Engineering (SRE), Performance & Tools Engineering, and Release Engineering. This role is critical to ensuring the scalability, reliability, and operational excellence of TraceLink’s cloud-native SaaS platform, while also owning the infrastructure behind both internal and customer-facing AI capabilities.
The Director will be the single-threaded owner of our internal suite of AI-enabled tools for engineering productivity, as well as responsible for the DevOps and infrastructure support for external AI features integrated into the Opus platform, such as LLM-powered agentic functionality.
They will drive initiatives that enable AI-powered operational intelligence, cost-optimized infrastructure, and high-velocity product delivery across a globally distributed engineering team.
Responsibilities:
- Act as a Single Threaded Owner (STO) for infrastructure & operational excellence and lead a global organization across three primary areas:
- SRE, with an SRE Manager and team focused on reliability, observability, incident response, and cloud operations
- Performance & Tools, building tooling for automated testing, test orchestration, system health monitoring, and integration testing
- Release Engineering, responsible for CI/CD tooling, release orchestration, and deployment automation
- Own and evolve TraceLink’s internal suite of AI-enabled tools designed to enhance developer productivity and platform insight
- Play a leadership role in DevOps and infrastructure operations for AI capabilities integrated into TraceLink’s Opus platform, including support for LLM-based workflows, inference pipelines, and secure model interactions
- Evaluate and adopt emerging technologies aligned with the company’s product vision and technical architecture
- Partner with the CISO, architecture, and product teams to align cloud practices with security, compliance, and business goals
- Drive maturity in infrastructure as code, observability (OpenTelemetry, Prometheus, Grafana, Jaeger), and release automation (Jenkins, Flux-CD, Env0, CodeBuild)
- Lead the design and rollout of AI-driven anomaly detection, telemetry pipelines, and proactive system health monitoring
- Extend CI/CD and integration testing systems to support performance testing, distributed tracing, and alerting workflows
- Be a major contributor to efforts to improve product quality through improved automated testing
- Champion cost optimization initiatives, including efficient AWS resource usage (Karpenter, Spot Instances, serverless), and align to target COGS metrics
- Set high standards for reliability, latency, availability, and scalability of core systems
- Oversee deployment health, platform smoke tests, and post-deployment validation strategies
- Monitor and report on platform KPIs, system uptime, alerting noise ratios, and MTTR
- Lead incident response strategies and reduction of manual toil through automation and self-service tools
- Hire, mentor, and grow high-performing engineering managers and technical leaders
- Align team OKRs with broader engineering and company goals
- Foster a culture of engineering rigor, continuous improvement, and cross-functional collaboration
Qualifications:
Required:
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years in engineering leadership roles managing multiple cross-functional DevOps/SRE/tooling teams
- Deep experience with cloud-native architecture, especially AWS services, infrastructure-as-code, CI/CD systems, and observability platforms
- Proven success running SaaS at scale, including performance, reliability, and cost optimization
Hands-on experience with tools such as:
Terraform, Helm, Docker, Kubernetes, Prometheus, ELK, Redis, Kafka, Karpenter, Jenkins, OpenTelemetry, Grafana, Env0, CodeBuild
- Experience supporting AI/ML-enabled applications, including inference pipelines and secure LLM integration
- Clear understanding of security practices, DevSecOps, and compliance (e.g., SOC-2, ISO27001)
- Excellent communication and stakeholder management skills
Preferred:
- Advanced degree in Engineering or related field
- Familiarity with LLM-based systems, RAG pipelines, and internal AI tooling
- Experience with regulated industries (e.g., healthcare, pharma, or life sciences)
- Familiarity with reactive frameworks and modern Java/JavaScript application stacks
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