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senior java software engineer

senior data engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

Deloitte

<div>
 
 Data Engineering Tech Lead, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity
 
 
 
 <ul>
 <li>
 Identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Stay up to date on the latest data engineering technologies and trends.
 </li>
 <li>
 Work with other engineering teams to integrate data engineering solutions with other systems.
 </li>
 <li>
 Maintain and optimize data systems to ensure high availability and performance.
 </li>
 <li>
 Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
 </li>
 <li>
 Gather requirements from stakeholders and translate them into technical specifications.
 </li>
 <li>
 Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
 </li>
 <li>
 Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Manage multiple projects simultaneously in a highly organized and efficient manner.
 </li>
 <li>
 Think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 
 Connect to your skills and professional experience
 
 
 
 <ul>
 <li>
 7+ years of relevant experience.
 </li>
 <li>
 Cloud computing platforms: AWS/Azure/GCP
 </li>
 <li>
 Programming languages: Python/Java/Scala &amp; Unix Shell scripting
 </li>
 <li>
 Data warehouse technologies: Redshift/Snowflake/Big Query
 </li>
 <li>
 Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
 </li>
 <li>
 Orchestration: Airflow/Control-M/(Any Orchestration tool)
 </li>
 <li>
 Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technology and Transformation
 
 
 </li>
 </ul>
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
</div>

Deloitte Innovation Hub I Data Engineering Tech Lead, Cairo, Egypt

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
 <li>
 Write scripts and automation using Python/Java/Bash
 </li>
 <li>
 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
 <li>
 Understand how various systems work
 </li>
 <li>
 Understand how IT operations are managed
 </li>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

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