
Datadog · Bordeaux
We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—...
We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and
teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs,
application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty,
and simplicity to solve hard problems the right way.
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.
output in products
building AI-enabled products
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 listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the
technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place,
using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI
leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram,
LinkedIn, and Datadog Learning Center.
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national
origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other
characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal
requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of
our website or need assistance completing the application process, please complete this form. This form is for accommodation
requests only and cannot be used to inquire about the status of applications.
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and
Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. * Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. * Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability. * Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently. * Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments. * Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group. Who You Are: * You have extensive software engineering experience and currently operate at or near Staff Engineer scope. * You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. * You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence. * You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact. * You have experience collaborating across multiple teams and influencing technical direction without direct authority. * Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus. 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: * Product training to develop an in-depth understanding of our product and space * Continuous career development and pathing opportunities for internal mobility * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds * New hire stock equity (RSUs) and employee stock purchase plan * Free global mental health benefit through Spring Health * Generous 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-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Software Engineer, Backend, you will leverage your deep technical expertise to ensure alignment, quality, and long-term maintainability across the organization. You will be building strong relationships with cross-functional stakeholders, you will drive project delivery, and ensure our backend infrastructure remains scalable and robust enough to support millions of users worldwide. What you will do * Design and develop high-volume, low-latency services and cope with the challenge of working in a distributed environment. * Operate mission-critical services at high availability. * Collaborate across business units and drive solutions. * Explore new solutions and technologies. * Build a scalable and reliable system. What you bring in: * 5+ years of experience with Scala, Java, or Go * Experience of working with scalable, highly available, real-time distributed systems * Experience of working with non-relational databases * Good understanding of data structures and algorithms * Mentoring/ Leadership skills * Excellent communication skills in English. * Ability to thrive in a dynamic, fast-paced environment. It would be great if you also have: * Experience building systems in the Google Cloud Platform * Experience with virtualization environments, e.g., Docker * Experience with systems for managing containerized applications, e.g., Kubernetes * Experience with Cassandra and Kafka. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.
P-1318 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 3+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.