devops engineer

senior software engineer

ai developer

ai engineer

data analyst

data pipeline engineer

Atos

<div>
 
 About Atos
 
 
 
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 
 
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Senior Data Engineer
 
 
 
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 
 
 
 Responsibilities
 
 
 
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 
 
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 
 
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 
 
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 
 
 Develop and maintain data integrations via APIs where necessary.
 
 
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 
 
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 
 
 
 Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 
 
 5+ years of experience in data engineering.
 
 
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 
 
 Strong experience with Python, dbt, and Airflow.
 
 
 Solid understanding of SQL and database design.
 
 
 Knowledge of API integrations.
 
 
 Experience with Tableau or other data visualization tools (nice to have).
 
 
 Demonstrated ability to work independently and within a collaborative team environment.
 
 
 Strong analytical and problem-solving skills.
 
 
 Excellent communication and interpersonal skills.
 
 
 English fluency is required; proficiency in French is a plus.
 
 
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 
 
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 
 
 
 Choose your future. Choose Atos.
 
</div>

SENIOR DATA ENGINEER

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied AI Engineer

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
 
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
 
 </li>
 <li>
 Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
 
 </li>
 <li>
 Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
 
 </li>
 <li>
 Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
 
 </li>
 <li>
 Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
 
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular data quality assessments and implement continuous improvements.
 
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in data engineering.
 
 
 
 </li>
 
 Qualifications:
 
 
 
 
 <li>
 minimum 10 Years of experience.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI) is required.
 
 </li>
 <li>
 Master proficiency in Data Migrations is highly recommended.
 
 </li>
 <li>
 Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
 
 </li>
 <li>
 Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Manager

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Analytics Engineer

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
 </li>
 <li>
 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
 </li>
 <li>
 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
 </li>
 <li>
 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Lead - Associate Manager

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data &amp; Automation
 
 
 
 Location
 
 : Egypt (New Cairo).
 
 
 
 
 
 As a
 
 Software Engineer
 
 specialized in
 
 DevOps
 
 to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining our software development infrastructure, tools, and processes. The candidate should have a strong background in software development, automation, and cloud technologies (especially Azure).
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, implement, and maintain our software development infrastructure, tools, and processes.
 </li>
 <li>
 Collaborate with development teams to ensure smooth integration of new features and releases for the products in our platform.
 </li>
 <li>
 Automate software deployment, testing, and monitoring processes for the respective environments.
 </li>
 <li>
 Develop and maintain scripts and tools for automation of software development tasks (CI/CD, infrastructure-as-a-code).
 </li>
 <li>
 Manage and maintain cloud infrastructure and services that are part of our products&rsquo; landscape.
 </li>
 <li>
 Troubleshoot and resolve issues related to software development infrastructure and tools.
 </li>
 <li>
 Stay up to date with emerging trends and technologies in DevOps and cloud computing.
 </li>
 <li>
 Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to ensure smooth DevOps operations in cross functional initiatives.
 </li>
 <li>
 Collaborate with development and work with operations teams to integrate quality gates into the CI/CD pipeline.
 </li>
 <li>
 Define and enforce criteria for code quality, security, performance, and compliance.
 </li>
 <li>
 Provide training and support to develop teams on quality gate tools and best practices.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Hands-on experience with Azure ecosystem from management and deployment perspective
 </li>
 <li>
 Proficiency in working with Data Engineering environments in Azure (i.e. Databricks, Azure Data Factory etc.)
 </li>
 <li>
 Experience with automation tools such as Terraform, Ansible etc.
 </li>
 <li>
 Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools
 </li>
 <li>
 Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps (Azure DevOps toolkit and automated testing capabilities)
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science or related field.
 </li>
 <li>
 3+ years of experience in software development and DevOps.
 </li>
 <li>
 Strong knowledge of software development methodologies and tools.
 </li>
 <li>
 Strong scripting skills in languages such as Python, Bash, or Ruby.
 </li>
 <li>
 Excellent problem-solving and troubleshooting skills.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Understanding of Agile methodology and SAFe Agile is appreciated
 </li>
 <li>
 Azure certification, such as Azure Data Engineer or DevOps Engineer, is a plus.
 </li>
 <li>
 Proficiency with quality gate tools such as SonarCloud, Jenkins, or similar.
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

DevOps Engineer

Micro Engineering Tech Inc

<div>
 
 
 Position Summary
 
 
 
 We are seeking a product-minded
 
 Senior Full Stack Engineer
 
 to lead the development and maintenance of our
 
 Customer Portal (Version 1)
 
 . Built on
 
 Ruby on Rails 7+
 
 .
 
 
 The ideal candidate thrives on technical ownership&mdash;bridging the gap between robust backend architecture and modern, reactive frontends&mdash;while ensuring the platform is scalable, secure, and highly performant.
 
 
 
 
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 
 Architectural Leadership:
 
 Develop and maintain the customer portal using
 
 Ruby on Rails 7+
 
 , ensuring clean separation of concerns and a maintainable codebase.
 </li>
 <li>
 
 Modern Frontend Engineering:
 
 Build responsive, high-fidelity interfaces using
 
 TypeScript
 
 and
 
 Tailwind CSS
 
 . Implement reactive patterns via
 
 Hotwire (Turbo/Stimulus)
 
 or
 
 React
 
 to ensure a seamless user experience.
 </li>
 <li>
 
 Feature Evolution:
 
 Rebuild and enhance mission-critical workflows, including complex account setup, project configuration, and automated data extraction pipelines.
 </li>
 <li>
 
 Data Visualization:
 
 Design and implement a scalable monitoring dashboard using
 
 Chart.js
 
 or
 
 Recharts
 
 to provide users with real-time, data-driven insights.
 </li>
 <li>
 
 API &amp; Security:
 
 Design, document, and integrate
 
 RESTful APIs
 
 . Manage sophisticated authentication and authorization flows using
 
 Auth0
 
 .
 </li>
 <li>
 
 Database &amp; Performance:
 
 Optimize relational database schemas in
 
 PostgreSQL
 
 or
 
 MySQL
 
 . Write efficient queries and manage high-concurrency background processing using
 
 Sidekiq
 
 or
 
 Active Job
 
 .
 </li>
 <li>
 
 Compliance &amp; Reliability:
 
 Architect
 
 GDPR-compliant
 
 workflows (consent management, data portability, and deletion). Ensure stability through rigorous testing with
 
 RSpec
 
 or
 
 Minitest
 
 .
 </li>
 <li>
 
 DevOps &amp; Deployment:
 
 Work within
 
 Dockerized
 
 environments and manage deployments via
 
 AWS
 
 and CI/CD pipelines.
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 
 Backend Mastery:
 
 3+ years of professional experience shipping production-grade applications using
 
 Ruby on Rails
 
 . Deep understanding of Rails design patterns (Service Objects, Form Objects, Query Objects).
 </li>
 <li>
 
 Frontend Proficiency:
 
 Strong command of
 
 TypeScript
 
 , ES6+, HTML5, and
 
 Tailwind CSS
 
 . Experience with modern asset pipelines (Propshaft/esbuild/Vite).
 </li>
 <li>
 
 Data Management:
 
 Advanced knowledge of relational database design, indexing strategies, and query optimization for large datasets.
 </li>
 <li>
 
 Infrastructure &amp; Tooling:
 
 Hands-on experience with
 
 Docker
 
 , Git-based workflows (GitHub/GitLab), and cloud infrastructure (
 
 AWS/Heroku
 
 ).
 </li>
 <li>
 
 Testing Culture:
 
 A "test-first" mindset with experience in unit, integration, and system-level testing.
 </li>
 <li>
 
 Security &amp; Compliance:
 
 Familiarity with OWASP top 10, web security best practices, and data privacy regulations (
 
 GDPR/SOC2
 
 ).
 </li>
 <li>
 
 Performance &amp; Caching:
 
 Experience implementing multi-layer caching strategies (Low-level, Fragment, and Russian Doll caching) using
 
 Redis
 
 or Memcached.
 </li>
 <li>
 
 System Observability:
 
 Proficiency with monitoring and error-tracking tools (e.g.,
 
 Sentry
 
 ,
 
 New Relic
 
 ,
 
 Datadog
 
 , or
 
 Lograge
 
 ) to proactively diagnose production bottlenecks.
 </li>
 <li>
 
 State Management:
 
 Expertise in managing complex frontend states, whether through
 
 Stimulus
 
 values/classes or
 
 React Context/Redux
 
 .
 </li>
 <li>
 
 Background Processing Optimization:
 
 Experience tuning
 
 Sidekiq
 
 for reliability, including idempotency, retries, and dead-letter queue management.
 </li>
 <li>
 
 CI/CD Pipeline Ownership:
 
 Ability to configure and maintain
 
 GitHub Actions or GitLab CI pipelines
 
 to automate linting, testing, and deployment.
 </li>
 <li>
 
 Accessibility (a11y):
 
 Commitment to building inclusive interfaces that comply with
 
 WCAG 2.1
 
 standards.
 </li>
 <li>
 
 Technical Documentation:
 
 Proven ability to maintain clear documentation for APIs
 
 (Swagger/OpenAPI)
 
 and internal system architecture.
 </li>
 </ul>
 
 
</div>

Senior Full Stack Engineer (Ruby on Rails & TypeScript)

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