Senior Datadog Software Engineer​/Architect

Senior Datadog Software Engineer/Architect

Job Location s: US

We are seeking a Senior Software Engineer/Architect to join our diverse team supporting enterprise observability implementation and operations. This engineer is an experienced technical professional responsible for designing, developing, and maintaining complex software systems. This role combines deep technical expertise with project leadership to ensure the successful delivery of high‑quality software solutions.

The qualified individual will operate with significant autonomy, leading project teams and influencing technical decisions within their domain. They focus on executing complex projects, mentoring junior team members, and contributing to the overall technical direction of their team or department. While they may not set organization‑wide strategy like Principal Engineers, they play a crucial role in implementing and refining technical approaches within their area of expertise.

• Create and implement robust, scalable software architectures. Write clean, efficient code that addresses complex business requirements and technical challenges.
• Lead the development efforts for significant projects, ensuring code quality, performance, and adherence to best practices.
• Exercise discretion in determining technical approaches and solutions for critical assignments.
• Develop scalable observability strategies using Datadog for applications, infrastructure, cloud services, and security monitoring.
• Architect dashboards, monitors, and alerting frameworks tailored to business and operational requirements.
• Conduct thorough code reviews and provide constructive feedback. Mentor junior engineers, fostering their technical growth and promoting best practices within the team.
• Lead deployment and configuration of Datadog agents, integrations, and APIs across hybrid/multi‑cloud environments (AWS, Azure, GCP, on‑prem).
• Integrate Datadog with CI/CD pipelines, logging systems, and collaboration tools (e.g., Slack, Service Now, Jira).
• Identify and resolve complex technical issues, optimizing existing systems for improved performance and reliability.
• Apply analytical skills to evaluate and address challenges that require deep technical understanding.
• Oversee the full software development lifecycle for assigned projects, from planning to deployment. Collaborate with product managers and stakeholders to define requirements and timelines.
• Work closely with other engineering teams, product managers, and business stakeholders to ensure alignment of technical solutions with business objectives.
• Contribute to technical decision‑making processes, balancing immediate project needs with long‑term maintainability and scalability considerations.
• Actively participate in knowledge sharing activities, such as tech talks or documentation efforts, to elevate the team's overall technical capabilities.
• Strong problem‑solving skills to address complex technical challenges and guide the team through implementation.
• Excellent communication skills for effective collaboration with both technical and non‑technical team members.
• Adaptability to quickly learn and apply new technologies and methodologies as required by project needs.
• Leadership ability to motivate team members, set clear goals, and drive projects to successful completion.

Required Qualifications:

• Bachelor's Degree and 8 years of experience or 9 years of experience and a HS Degree/Diploma
• Must be willing to get/obtain a Datadog APM and Distributed Tracing Fundamentals Certification
• Strong development background with hands‑on experience with Python, Bash, Power Shell, YAML and proficiency in building complex lambda functions / shell scripts for end‑to‑end automation.
• Hands‑on experience enabling Datadog infrastructure monitoring and application performance monitoring.
• Experience configuring Datadog for synthetic tracing.
• Proven experience as a Cloud Dev Ops and Automation Engineer.
• Hands‑on experience with version control systems (Git, AWS Code Commit, SVN) and branching strategies.
• Strong understanding of Dev Ops principles and continuous integration/continuous deployment (CI/CD) pipelines.
• Experienc…