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Sr. Site Reliability Engineer
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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.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
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 exceptional talent deserves an exceptional launchpad.
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.
About the role
We’re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.
This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.
With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.
Your responsibilities
- Build and maintain the data platform
- Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
- Keep the platform reliable, observable, and ready to scale.
- Build robust pipelines (ELT/ETL + event-driven)
- Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
- Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
- Improve pipeline performance, cost, and reliability.
- Make the platform easier every week
- Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
- Enable analytics and AI use cases
- Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
- Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
- Partner with stakeholders
- Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
- Keep data secure across boundaries
- Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python, Java, Go, or similar.
- Strong SQL fundamentals.
- Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
- A problem-solving mindset and comfort debugging systems end-to-end.
- Clear communication and a collaborative approach.
Nice to have
- Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
- Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
- Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
- Basic Terraform/IaC and CI/CD familiarity.
- Experience using AI assistants responsibly for coding, debugging, and documentation.
What success looks like
- You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
- You can debug a data issue from source to downstream consumption with clear root cause and fix.
- Teams can onboard to data sources faster, with better documentation and fewer manual steps.
- Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).
Ready to apply?
Apply to Tamara
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
Your responsibilities will include:
- Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
- Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
What we are looking for?
- 2-5 years: Data Engineer
- Proficiency in Python, SQL, and database management.
- Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Proven problem-solving skills and a solution-oriented mindset.
- Experience working with business stakeholders either internally or externally
- Excellent communication skills to collaborate effectively within teams and with stakeholders.
- Strong business acumen with an interest in business-facing roles.
- Adaptability and a start-up mentality to thrive in a dynamic environment.
- Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
Artefact is the place to be: come and build the future of data and AI
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.
Ready to apply?
Apply to ArtefactArtefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
Your responsibilities will include:
- Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
- Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
What we are looking for?
- 2-5 years: Data Engineer
- Proficiency in Python, SQL, and database management.
- Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Proven problem-solving skills and a solution-oriented mindset.
- Experience working with business stakeholders either internally or externally
- Excellent communication skills to collaborate effectively within teams and with stakeholders.
- Strong business acumen with an interest in business-facing roles.
- Adaptability and a start-up mentality to thrive in a dynamic environment.
- Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
Artefact is the place to be: come and build the future of data and AI
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.
Ready to apply?
Apply to Artefact