Lead the design and delivery of shared platform capabilities on the Observability Data Platform at Datadog.
Posted by employer 2 months ago
First seen on Joblaze 3 days ago
Last verified on the company career page 18 hours ago
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Staff Engineer on the Data Platform Experience team at Datadog, the individual will focus on enhancing the Observability Data Platform by designing and implementing scalable solutions that streamline developer workflows and improve operational visibility. Key skills include expertise in distributed systems, software architecture, and proficiency with backend technologies like Java and Go, alongside familiarity with tools such as Kafka and Kubernetes. This position is ideal for someone with a strong technical background who can lead cross-team initiatives and influence platform strategy. The team values collaboration and creativity, operating within a hybrid work environment.
Quick facts
- Is the Staff Engineer - Data Platform Experience role remote?
- It's hybrid — Datadog expects some on-site time in Dublin, Ireland; Madrid, Spain; Paris, France.
- Where is the role based?
- Datadog is hiring for this position in Dublin, Ireland; Madrid, Spain; Paris, France.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Java, Kafka, Kubernetes.
- What seniority level is this role?
- Datadog targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Engineer - Data Platform Experience role at Datadog.
From the original posting
As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience.
What You'll Do:
- Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.
- Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.
- Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.
- Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.
- Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.
- Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.
Who You Are:
- You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.
- You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.
- You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.
- You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.
- You have experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes
- Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
#LI-Hybrid
Standard company text repeated across Datadog's postings is omitted here.