Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
• Write in Go, Java Rust or C++, amongst other languages
• Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
• Own meaningful parts of our service, have an impact, grow with the company
  
  

Who You Are:

• 6+ years of experience
• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) 
• You have been exposed to working on problems (high durability / low latency /…)
• You can get down to the low-level when needed
• You care about simple designs and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

Datadog values people from all walks of life. We understand 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 skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-LB1

What You'll Do:

• Participate fully in the Solutions Engineering Academy bootcamp, mastering core product knowledge, sales methodologies, and demonstration techniques.
• Shadow and support the Commercial sales team throughout the sales cycle, including discovery calls and technical discussions, in preparation for a client-facing role.
• Conduct internal practice demonstrations of the Motive product offering, effectively showcasing our core value proposition, specifically the capabilities driven by Artificial Intelligence and Machine Learning.
• Develop expertise in Motive's integrated platform, spanning IoT hardware (in-vehicle devices, sensors), cloud-based data aggregation, and AI/ML features that automate complex operational workflows.
• Learn to successfully match customer pain points and requirements to proposed solutions, articulating clear business benefits and foundational return on investment (ROI).
• Rapidly become a subject matter expert on Motive’s current product offering and future roadmap.
• Collaborate closely with the Product Team to provide feedback from the field and assist with training on new feature releases.
• Act as a technical liaison during the training phase between the sales team and various internal organizations, including Product, Engineering, and Customer Success, ensuring seamless information flow.
• Prepare and deliver technical presentations and mock proposals that clearly articulate the value and functionality of Motive's solutions.

What We're Looking For:

• Bachelor's Degree required
• 0-1 years of professional experience. Internship experience in a pre-sales, technical support, or customer-facing role is a significant plus.
• A strong desire and ability to quickly learn complex SaaS and hardware solutions, paired with a genuine interest in experimenting with and understanding how AI/ML models and IoT devices operate in real-world environments.
• Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts in an understandable way.
• Proven analytical and problem-solving skills, with the ability to understand customer challenges and propose effective technical solutions.
• The ability to quickly connect technical solution features to tangible business outcomes and value.
• A strong desire to learn, grow, and execute in a dynamic and fast-paced environment.
• Interest in the Transportation & Logistics industry is beneficial.

About the team/role

As the Staff Knowledge Base Specialist, you will be a senior contributor to the knowledge systems that enable both Checkr's human and digital workers to resolve issues accurately and efficiently. This is a senior individual contributor role within Shared Services, responsible for leading complex, cross-functional knowledge programs that span department boundaries and directly shape the quality of agent-assisted and AI-driven resolution at scale. You will set strategy, clarify goals, and independently drive programs from initiation to measurable outcomes.

Knowledge at Checkr serves a dual audience: human agents who rely on clear, actionable content to resolve complex cases, and AI agents that retrieve, reason over, and act on that same knowledge base autonomously. This role requires mastery of both dimensions. You will design content that is clear and actionable for human agents while simultaneously being structured for accurate AI retrieval, optimized for fast search, and enriched with metadata that drives correct segmentation and response logic. You will also build, manage, and iterate on AI workforce agents that accelerate knowledge operations, treating them as members of your toolkit the same way you would a contractor or vendor.

Our ideal candidate brings a rare combination of disciplines: the precision of a technical writer, the systems thinking of an information architect, and the LLM fluency of a prompt engineer. You have hands-on experience building knowledge for RAG-based AI systems, a sharp instinct for the content gaps that cause agent escalations and model hallucinations, and the ability to drive alignment across engineering, product, quality, and operations partners. You thrive in ambiguity, mentor peers, and balance department impact with broader company objectives. You are startup-minded: comfortable building from scratch, owning ambiguous problems end to end, and leveraging AI agents as force multipliers to drive outcomes at a scale beyond what manual effort allows.

This role is based in Nashville, TN and requires periodic travel (<25%) to connect with teams across Checkr office locations in San Francisco and Denver.

What you'll do

• Design and drive Checkr's agent-facing knowledge architecture: content structure, chunking strategy, metadata schema, retrieval optimization, and decision logic encoding for both human and AI agent consumption.
• Independently lead complex, cross-functional knowledge programs from initiation to delivery, coordinating with product, engineering, quality, and operations stakeholders to set strategy and achieve program goals within planned timeframes.
• Build, deploy, and manage AI workforce agents that execute knowledge operations tasks, including content audits, metadata enrichment, quality checks, and triage workflows, owning agent performance and iterating on prompts, logic, and guardrails to improve outcomes.
• Define and enforce authoring standards that serve a dual audience: content readable and actionable for frontline BPO agents, and structured for accurate, low-latency AI retrieval.
• Design and manage analytical workflows, including AI assisted triage, to surface knowledge gaps from escalation patterns, quality scores, and conversation failure logs.
• Proactively identify and anticipate risks and gaps in the knowledge ecosystem, including content that misleads agents, creates compliance exposure, or degrades AI performance; propose and execute next steps without waiting to be directed.
• Build and maintain metadata frameworks that ensure knowledge is correctly segmented across agent types, customer tiers, product lines, and support workflows.
• Partner with AI/Product and Engineering teams to surface knowledge-side limitations affecting agent and AI resolution quality, influence prompt design, and advocate for platform enhancements.
• Identify opportunities across agent and AI performance data to drive continuous improvements to content standards, knowledge architecture, and intake processes.
• Serve as a trusted cross-functional partner to Quality, Training, Service Design, and frontline operations teams, translating frontline agent experience needs into knowledge improvements.
• Mentor Knowledge team members on agent-aware and AI-aware authoring practices, providing clear, specific feedback and coaching to build team capability.

What you bring

• 5+ years of experience in knowledge management, information architecture, technical writing, or content operations, with demonstrated progression in scope and complexity.
• 2+ years of hands-on experience building knowledge for AI systems, including chunking strategies, metadata design, retrieval accuracy improvement, and hallucination reduction in a RAG-based environment.
• Experience designing content for a dual audience: human agents who need clear, scannable, actionable content and AI systems that require precision structure for accurate retrieval and reasoning.
• Hands-on experience building and managing AI agents or automated workflows (e.g., prompt chains, decision agents, RPA sequences) to execute operational tasks at scale.
• Proven ability to independently lead complex, cross-functional programs, balancing department priorities with broader company objectives and driving outcomes without direct authority.
• Fluency with leading LLMs (GPT-4, Claude, Gemini) and Gen AI concepts including RAG, agentic AI, chain-of-thought prompting, decision flows, and vector search.
• Strong systems thinking: ability to trace how a knowledge gap, metadata error, or unclear procedure propagates into agent escalations, AI failures, and customer experience degradation.
• Analytical mindset with comfort reading quality scores, latency logs, and accuracy data to diagnose root causes and design targeted solutions.
• Track record of proactively identifying risks, leading retrospectives, and implementing process improvements that prevent recurring issues.
• Demonstrated ability to mentor and coach more junior team members; experience leading external contractors is a plus.
• Exceptional written communication: able to produce clear, actionable content for agent-facing audiences and translate complex AI-system concepts into standards and recommendations for varied stakeholders.
• Preferred: Experience with Zendesk or Salesforce knowledge bases.
• Preferred: Background in support operations or conversation design.
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you'll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

WHO WE ARE

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure songwriters, composers, and music publishers are accurately compensated for the use of their music.

Operating at the intersection of music, data, and technology, we process billions of usage records, match them to the correct musical works, and distribute royalties with accuracy and transparency. As we continue to grow, we are building scalable data platforms and workflows that power the future of digital music licensing.

THE ROLE

As a SQL Engineer / Data Analyst, you will play a critical role in designing, building, and maintaining scalable data solutions that power usage and royalty processing, reporting, and internal analytics. You’ll work closely with Data Platform, Engineering, Finance, and Member Experience teams to ensure data integrity, accessibility, and performance across systems.

This role is ideal for someone who enjoys working with complex datasets, optimizing queries for performance, and building reliable data pipelines that directly support business-critical operations.

Preference to individuals in Eastern and Central Time Zone to accommodate for UK team member collaboration.

QUALIFICATIONS

Required

· 3+ years of experience writing complex SQL queries in a production environment

· Strong experience with relational databases (e.g., PostgreSQL, Oracle)

· Proven ability to optimize queries and improve database performance

· Experience working with large, complex datasets

· Strong problem-solving skills and attention to detail

· Ability to communicate technical concepts to non-technical stakeholders

Preferred

· Experience with cloud data platforms (AWS Athena, Metabase, or similar)

· Familiarity with ETL/ELT processes and data pipeline concepts

· Experience supporting financial, royalty, or transactional data systems

· Understanding of data modeling concepts (star schema, normalization, etc.)

ESSENTIAL RESPONSIBILITIES

AS A MEMBER OF THE TECH TEAM, YOU WILL:

· Design, develop, and maintain complex SQL queries, stored procedures, and views to support business operations and reporting

· Optimize database performance through query tuning, indexing strategies, and execution plan analysis

· Partner with Data Engineers and Analytics teams to support data pipelines and transformations across platforms (e.g., AWS Athena, Metabase, or similar)

· Support royalty processing workflows by ensuring accuracy, consistency, and timeliness of data outputs

· Collaborate with cross-functional stakeholders (Finance, Rights Management, Member Experience) to translate business requirements into scalable data solutions

· Troubleshoot data discrepancies and implement long-term fixes to improve data quality

· Contribute to data governance, documentation, and best practices across the data ecosystem

· Assist in building and maintaining reporting datasets for internal and external stakeholders

· Data quality and validation frameworks to ensure accuracy