Summary:

The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.

Responsibilities:

• Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
• Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
• Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
• Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
• Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
• Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
• Performing SRE activities such as availability and reliability monitoring and reports.
• Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
• Setting up infrastructure as a service using Terraform.
• Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
• Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
• Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
• Articipate in the on-call rotation to keep up the service SLA per the business needs.
• Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
• Take appropriate actions by doing impact analysis during the incidents.

Requirements and Skills:

• B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
• Can speak English fluently to communicate with teams across geographical regions.
• +6 years of experience in SRE or DevOps Engineering.
• +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
• +3 years of experience in Terraform.
• +3 years of experience in Kubernetes.
• +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
• Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
• Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
• Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
• Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
• Good to have experience with Config Management using Ansible, Chef, Puppet, or others.

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!

About the Program: 

At Tamara, we believe potential should be stretched early.

Our Flagship Builders Internship & Co-Op track is crafted for students who don’t want a passive internship but a real seat at the table. If you’re hungry to apply what you’ve learned, in a fast-moving, high-performance environment, this is where you begin.
Built for current students seeking internship or co-op opportunities, this track immerses you in meaningful, hands-on work across Product, Engineering, Design, and beyond giving you real ownership, not just exposure.
You’ll contribute to real projects and solve real problems, gaining the kind of exposure that most early-career experiences simply don’t offer. We treat interns and co-op students as future builders, because in many ways, they already are.

With our January and June cohorts, you’ll gain more than experience. You’ll gain momentum.

About the Role

As a Product Engineer Intern, you will contribute to real squads building products that millions of users rely on to shop, pay, and bank. This is not a traditional software engineering internship — you will be expected to develop across all five competency pillars of Tamara's Product Engineering career framework:

Impact & Scope — Individual tasks and learning-focused contributions within a squad

You will work on well-defined tasks and small features within a squad, paired with a mentor who provides clear requirements and established patterns. Your primary focus is learning how your work fits into the broader product and building the habits needed to operate as an independent contributor.

Technical Capabilities — Building foundational engineering skills

You will begin developing core programming competencies, learn to write clean code with guidance, and start becoming familiar with the codebase, tools, and development workflows used at Tamara. You are not expected to be an expert — you are expected to be curious, ask questions, and grow quickly.

Product Thinking — Understanding the "why" behind your work

You will learn how Tamara's business model works and gain an understanding of your team's domain. For every ticket you pick up, you'll be encouraged to understand the user story behind it — not just what to build, but why it matters to the customer.

Delivery & Execution — Owning your tasks end-to-end

You will take ownership of your assigned tasks — making sure they meet acceptance criteria, are code-reviewed, well-tested, and merged. When you hit a blocker or a gap in understanding, you'll proactively ask for help rather than stay stuck.

Developing Self & Team — Growing fast and contributing to the team

You will focus on continuously enhancing your technical skills while embracing new knowledge and learning opportunities. You'll collaborate effectively with your team, ask good questions, and contribute to process improvements — influencing collective growth from day one.

Your Responsibilities

• Deliver well-defined tasks and small features within a squad, following established patterns and guidance from your mentor.
• Write clean, readable code and participate in code reviews to learn team standards and best practices.
• Understand the user stories and product context behind the tickets you work on — connect your technical work to customer impact.
• Take ownership of your tasks through the full lifecycle: development, testing, review, and merge.
• Proactively flag blockers, ask clarifying questions, and seek feedback to accelerate your learning.
• Contribute to a collaborative team environment by sharing learnings, offering constructive feedback, and staying open to input from others.
• Stay curious about Tamara's business model, your team's domain, and emerging technologies.

Your Expertise

• Currently undertaking a Bachelor's degree in Computer Science, Engineering, or a related field.
• Basic understanding of programming concepts and willingness to learn languages and frameworks used at Tamara (Java or Golang).
• Foundational understanding of databases and SQL.
• Strong problem-solving abilities with attention to detail.
• A product-minded approach: genuine curiosity about why things are built, not just how.
• Effective communication skills and ability to collaborate within a team.
• High motivation and commitment to continuous learning and development.
• Proficiency in written and spoken English communication.

Growth Path

This internship is designed as a launchpad into Tamara's Product Engineering Ladder. High-performing interns will automatically get the option to continue as an Associate Product Engineer role, where you will be expected to:

• Independently deliver well-defined tasks within a squad.
• Understand basic programming concepts and apply them with growing autonomy.
• Grasp the overall Tamara business model and your team's domain.
• Take full ownership of your tasks from development through merge.
• Contribute to team growth by questioning, learning, and improving processes.

All qualified individuals are encouraged to apply.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

Responsibilities:

Expectations:

Advantages:

• VMCE certification is beneficial; employees can obtain VMCE and VMCA after starting the job.
• Knowledge in Kubernetes technologies platforms is an advantage.
• Knowledge in DBs (Oracle, SQL, DB2, SAP) is an advantage.

• Understanding of data and privacy and security standards such as GDPR, CCPA/CPRA, NIST 800-53, ISO 27001, HIPAA, PCI-DSS, PDPL, NDMO, NCA, SAMA.

  Familiarity with data security frameworks including DSPM (Data Security Posture Management) .

We Offer:

Key Responsibilities

• Develop and deploy AI, machine learning, and generative AI solutions.
• Build AI-powered tools such as chatbots, copilots, and workflow automation.
• Prepare and process data for model training, testing, and deployment.
• Integrate AI models into products and internal systems through APIs.
• Fine-tune, evaluate, and monitor model performance.
• Work closely with Product, Engineering, Data, and business teams to identify AI use cases.
• Ensure AI solutions follow data privacy, security, and governance standards.
• Document AI models, workflows, and technical designs.

Requirements

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• 2–5 years of experience in AI, machine learning, data science, or software engineering.
• Strong Python programming skills.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of LLMs, NLP, embeddings, vector databases, and RAG.
• Experience with APIs, cloud platforms, and production deployment.
• Strong problem-solving and collaboration skills.

Preferred

• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LangChain, LlamaIndex, Pinecone, FAISS, or similar tools.
• Experience in fintech, banking, payments, or regulated environments.