Datadog

Company Name: Datadog
Job Title: Software Engineer with Systems Depth
Job Description: Job title: Software Engineer – Systems Infrastructure Role Summary: Design, build, and maintain scalable, high‑performance infrastructure that supports millions of customers and high‑volume, low‑latency workloads. Deliver reliable, cost‑efficient services, troubleshoot and resolve bottlenecks, automate operations, and collaborate with developers on data modeling and datastore selection. Expectations: - Own infrastructure delivery from design to production, ensuring minimal downtime and optimal cost. - Actively address production issues, conducting deep root‑cause analyses. - Maintain 24/7 availability for critical services and datastores. - Champion simplicity, reliability, durability, and scalability in all solutions. Key Responsibilities: - Architect and implement infrastructure components to scale with exponential growth. - Diagnose and fix performance bottlenecks across platform code and client applications. - Provide 24x7 support for owned services and databases. - Develop tooling and automation that reduce manual intervention and improve observability. - Partner with developers to design data models and evaluate datastore options. Required Skills: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field, or at least 5 years of professional experience. - Production experience with distributed systems (e.g., Zookeeper, Cassandra, Postgres, FoundationDB, Kafka, Elasticsearch, Redis, MongoDB). - Proficiency in one or more programming/scripting languages (Go, Java, Rust, C/C++). - Strong ability to design simple, performant architectures for large‑scale problems. - Familiarity with AI tools for development or eagerness to adopt them. - Bonus: Hands‑on experience with a major cloud provider (AWS, Azure, GCP). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a quantitatively related field, or equivalent professional experience. - No mandatory certifications; relevant technical certifications (e.g., cloud provider credentials) are a plus.

Bordeaux, France

On site

Mid level

30-11-2025

Company Name: Datadog
Job Title: Software Engineer - Backend Generalist
Job Description: **Job title:** Software Engineer – Backend Generalist **Role Summary:** Design, develop, and maintain highly scalable backend services for a global observability platform. Own end‑to‑end service lifecycle—from architecture and scaling to deployment and incident response—while collaborating with cross‑functional teams to deliver production‑grade features. **Expectations:** - Deliver performant, reliable code that scales to millions of requests per day. - Own service ownership: from design through production support and optimization. - Communicate clearly with teammates and stakeholders in a fast‑moving, high‑growth environment. - Embrace AI‑assisted development tools and stay current on emerging backend technologies. - Contribute to continuous improvement of processes, toolchains, and best practices. **Key Responsibilities:** - Identify and resolve scaling bottlenecks in critical production services. - Design and implement scalable architecture for new and existing services. - Deploy new features using feature‑flagged rollouts and monitor impact. - Investigate, triage, and fix production incidents in owned services. - Collaborate with product, data, and operations teams to prioritize upcoming projects and define success metrics. - Conduct code reviews, enforce coding standards, and mentor junior engineers. - Maintain and evolve CI/CD pipelines and automated testing suites. **Required Skills:** - 3+ years of production backend development experience. - Expertise in at least one language (e.g., Go, Java, Python, Rust). - Strong understanding of distributed system design, microservices, and API patterns. - Experience with performance tuning, load testing, and metric‑driven optimization. - Familiarity with CI/CD, container orchestration (Kubernetes), and cloud infrastructure. - Ability to use feature‑flag systems and analyze feature rollout data. - Proficient debugging skills across distributed stacks (traces, logs, metrics). - Commitment to clean, maintainable code and solid testing practices. - Comfortable leveraging AI tools for code generation, review, and problem solving. **Required Education & Certifications:** - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related scientific field, or equivalent professional experience. - No mandatory certifications required.

Paris, France

On site

04-12-2025

Company Name: Datadog
Job Title: Director, Major Accounts
Job Description: **Job Title**: Director, Major Accounts **Role Summary** Lead a high‑performance team of Major Account Managers to drive new business and expand revenue within the largest, most strategic Enterprise clients. Set and achieve aggressive booking targets, develop go‑to‑market strategy, and ensure effective collaboration across Sales, Marketing, Product, and Success functions. **Expectations** - Deliver annual Enterprise bookings quota with consistent monthly/quarterly performance. - Scale and coach a team, driving win rate, deal size, and forecast accuracy. - Navigate complex, multi‑stakeholder sales cycles and negotiate pricing based on business value. - Maintain strong executive relationships in Fortune 1000 accounts. - Travel up to 70 % of the time (auto, train or air) and be onsite with clients as needed. **Key Responsibilities** - Recruit, hire, train, and ramp Major Account Managers. - Set quarterly/monthly quotas, monitor productivity metrics, and conduct forecast meetings. - Coach managers on proactive sales tactics, executive engagement, and negotiation. - Define and execute regional go‑to‑market strategy; collaborate with Marketing and Product to craft targeted messaging and collateral. - Participate in and lead client and prospect meetings; serve as escalation point for complex deals. - Work cross‑functionally with Success to map customer journeys and identify upsell opportunities. - Provide regular updates to leadership on pipeline health, revenue forecasts, and team performance. **Required Skills** - B2B technology enterprise sales experience (≥5 years) with Fortune 1000 customers. - Proven leadership of high‑performing sales teams and quota setting/management. - Strong relationship builder with C‑level executives, skilled in complex negotiations and value‑based pricing. - Deep understanding of full sales cycle, from prospecting to closing. - Excellent communication, coaching, and presentation skills. - Ability to travel frequently and work with corporate resources. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, Engineering, or related field. - Familiarity with MEDDIC or similar sales methodology preferred. ---

United kingdom

Remote

Mid level

13-12-2025

Company Name: Datadog
Job Title: Senior software engineer
Job Description: Job Title: Senior Software Engineer Role Summary: Design, build, and maintain high‑scale services for an observability platform, addressing performance bottlenecks, enabling feature rollouts, and resolving production incidents. Expectations: 6+ years of software engineering in a high‑growth environment; strong code simplicity and performance orientation; proven architecture skills for large‑scale systems; background in statistics and data pipelines; enthusiasm for AI‑assisted development. Key Responsibilities: - Diagnose and fix production issues for services you own. - Design scalable solutions to accommodate increased traffic. - Deploy new features to production, implementing progressive rollouts via feature flags. - Collaborate with the team to prioritize and plan key projects. Required Skills: - Proficiency in Go, C, or Python (and at least one other programming language). - Experience with distributed data stores (Redis, Cassandra) and messaging systems (Kafka). - Prior creation or maintenance of data pipelines. - Strong background in system architecture, performance tuning, and concurrency. - Quantitative/statistical analysis skills. - Ability to produce clean, simple, and performant code. - Familiarity with feature‑flagging, CI/CD, and production monitoring. - Interest in leveraging or learning AI tools for development. Required Education & Certifications: - BS, MS, or PhD in Computer Science, Engineering, or a related scientific field (or equivalent professional experience).

New york, United states

On site

Senior

23-12-2025

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