Azure Jobs in Moldova.
All active Azure roles based in Moldova.
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AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Cloud Infrastructure Engineer (Data Center)
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Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.
Technologies
- Azure ecosystem
- Azure DevOps
- GCP / AWS
- Infrastructure as Code: Bicep
- Windows Server
- Microsoft SQL Server
What You'll Do
- Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
- Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
- Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
- Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
- Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
- Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
- Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
- Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
- Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
- Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;
Job Requirements
- 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
- Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
- Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
- Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
- Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
- Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
- Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
- Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Automotive & Energy)
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Company Background
Our client is a global leader in advanced energy storage solutions, specializing in the design and manufacturing of automotive batteries. Headquartered in Milwaukee, Wisconsin, the company serves major automakers and aftermarket retailers, producing over 150 million batteries annually and powering 1 in 3 vehicles worldwide. With operations in more than 50 countries, the company focuses on innovative and sustainable battery technologies for conventional, hybrid, and electric vehicles, supporting the evolving mobility ecosystem.
Project Description
The project focuses on consolidating existing SMS and email prototypes into a single production-ready solution with a user interface for scheduling, configuration, monitoring, and logging. The solution is being built using Power Apps within the company’s environment, with integrations to Snowflake and existing Python and SQL logic.
Technologies
- Azure Functions (API endpoints, data processing);
- Python;
- SQL;
- Snowflake;
- Power Apps (UI, workflows, SharePoint integrations);
What You'll Do
- Migrate the existing messaging solution from Python to Power Apps;
- Enhance and optimize the current SMS solution based on the new messaging architecture;
- Ensure performance, scalability, and reliability of the solution;
- Implement and support global HDIR file upload functionality;
- Design and develop API endpoints for Generic Customer APIs;
- Communicate directly with the client as the primary point of contact for the project;
Job Requirements
- 5+ years of experience as a Data Engineer;
- Experience with SQL and Snowflake;
- Experience working with high-load systems and data processing optimization;
- Experience with Azure Functions, primarily for building API endpoints and handling data processing;
- Basic understanding of Python scripting;
- Familiarity with security best practices, including encryption, secure data handling, and compliance with industry regulations;
- Experience with Power Apps is a plus;
- Self-motivated and able to work independently with minimal guidance in a dynamic environment;
- Proven ability to adapt quickly and work effectively in Agile or iterative delivery teams;
- Strong written and verbal communication skills in English;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
AI focused DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Agentic AI (Mosaic AI)
- Python
- SQL
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Build and optimize data transformations using Python and SQL;
- Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
- Strong experience with Python;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Azure SQL pools;
- Understanding of performance tuning for data workloads;
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Database Administrator (TravelTech)
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Company Background
Our client is an award-winning travel company that connects travelers with a nationwide network of independent travel advisors. The company combines innovative technology, personalized service, and strong supplier partnerships to deliver customized vacation experiences across cruises, resorts, tours, and more.
Project Description
The project focuses on rebuilding a proprietary agent-facing travel platform from the ground up using a modern, cloud-native architecture on Microsoft Azure. The new platform aims to improve performance, scalability, and usability while enabling faster feature delivery and seamless integrations. A key part of the initiative is migrating data from legacy systems to a new PostgreSQL-based architecture and ensuring high availability, security, and performance of critical data systems.
Technologies
- PostgreSQL
- Microsoft Azure
- SQL
- High Availability (Failover, Replication, Backup/Recovery)
- Database Security & Encryption
- CI/CD & DevOps
What You'll Do
- Administer and maintain Azure-managed PostgreSQL databases across environments
- Design scalable and efficient database schemas and architectures
- Monitor and optimize database performance (queries, indexing, execution plans)
- Implement and maintain backup and disaster recovery strategies
- Ensure database security, access control, and compliance
- Plan and execute data migrations from legacy systems
- Write and optimize complex SQL queries, procedures, and functions
- Collaborate with development teams on database design and query optimization
- Automate routine DBA tasks using scripting tools
- Troubleshoot and resolve database issues
- Maintain documentation (data models, ER diagrams, data dictionaries)
- Participate in on-call rotation
Job Requirements
- 5-8 years of experience as a Database Administrator
- Strong experience with PostgreSQL, including Azure-managed environments
- Expert-level SQL skills and query optimization
- Experience with high availability and disaster recovery solutions
- Strong experience with performance tuning and indexing strategies
- Understanding of database security, encryption, and compliance
- Experience with data migration from legacy systems
- Familiarity with database monitoring and performance tools
- Strong analytical and problem-solving skills
- Excellent communication skills
- Ability to work in a greenfield environment
- Strong experience in schema design
- English level: B1 (Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Synapse (Pipelines)
- Azure SQL pools
- Python
- SQL
- Performance tuning
What You'll Do
- Develop and maintain data pipelines in the Azure environment;
- Work with Azure SQL Pools for data storage and processing;
- Write and optimize SQL queries;
- Perform performance tuning for queries and data workflows;
- Collaborate with a team of engineers on Databricks-based solutions;
- Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
- Ensure reliability and consistency of data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Azure SQL Pools;
- Strong understanding of performance tuning for data workloads;
- Experience working in Azure cloud environment;
- Excellent communication skills;
- English level: B2 (Upper-Intermediate) or higher;
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Python;
- Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
- Familiarity with Databricks Asset Bundles;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
- SQL
- Python
- Azure
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Write, optimize, and maintain data transformations using Python and SQL;
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer
- Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
- Solid knowledge of SQL
- Strong experience with Python
- Experience working in Azure cloud environment
- Good understanding of data pipelines and data platform architecture
- Strong analytical and problem-solving skills
- Excellent communication skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Agribusiness Software Solutions)
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Company Background
Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.
Project Description
Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.
Technologies
- Microsoft Azure
- Azure Blob Storage / ADLS Gen2
- Databricks (Delta Lake, PySpark, SQL Warehouses)
- dbt (dbt-databricks + dbt-sqlserver)
- Azure Functions (Python)
- Azure Event Grid
- Azure SQL Database
- Azure Key Vault
- Luzmo
What You'll Do
- Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
- Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
- Manage Auto Loader and incremental data ingestion processes;
- Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
- Write custom macros and ensure data quality with dbt tests;
- Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
- Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
- Maintain tenant‑scoped DBFS mounts and data isolation;
- Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
- Automate deployments using CI/CD tools (e.g., GitHub Actions);
- Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;
Job Requirements
- 5+ years designing and building data solutions on Microsoft Azure;
- 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
- Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
- Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
- Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
- Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
- Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
- Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
- Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
- English level: B1+ (Intermediate) or higher;
Nice to Have
- Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
- Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
- Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
- Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
- Experience with cost‑governance / FinOps in Azure and Databricks;
- Exposure to SQLFluff or similar SQL linting/quality tools;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.
About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.
Key Responsibilities:
- Design, develop, and optimize AI-driven content generation workflows.
- Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.
- Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
- Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.
- Operationalize AI models in collaboration with the AI R&D.
- Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
- Design and run LLM evaluation benchmarks and regression detection.
- Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
- Ensure robust CI/CD pipelines and contribute to SDLC best practices.
- Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.
Required Skills & Qualifications
- Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks
(CrewAI, LangGraph, LangChain, or equivalent). - Production experience with LLMs, including prompt engineering, model evaluation, and
operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). - Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and
familiarity with AWS. - Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
- Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
- Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
- Daily user of AI development tools (Cursor, Claude Code, Copilot).
- Fluent English, spoken and written.
- Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go
services
Benefits:
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
QA Automation Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.
Technologies
- Python
- Azure
- SQL
- Databricks
- Automation frameworks
What You'll Do
- Perform manual testing of application features and workflows;
- Develop and maintain automation tests using Python;
- Work with existing automation frameworks and improve test coverage;
- Validate data and perform database checks using SQL;
- Collaborate with development and QA teams to ensure product quality;
- Identify, document, and track defects;
Job Requirements
- 3+ year of experience in QA;
- Experience with Databricks ecosystem;
- Experience working in Azure cloud environment;
- Good understanding of data pipelines and data platform architecture;
- Experience with Python for test automation;
- Understanding of automation frameworks;
- Experience working with SQL;
- Strong knowledge of manual QA practices;
- Attention to detail and analytical mindset;
- Ability to work in a team environment;
- English level: Upper-Intermediate (B2) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer
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Project Description
We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.
Technologies
- SQL (PostgreSQL, MySQL or similar)
- Python (or another scripting language)
- Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
- Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus
What You'll Do
- Assist in the design, development, and maintenance of scalable data pipelines;
- Support data integration from various sources (databases, APIs, flat files);
- Help ensure data quality, consistency, and reliability;
- Collaborate with data analysts and data scientists to understand data requirements;
- Participate in code reviews and contribute to technical documentation;
- Monitor and troubleshoot data workflows, resolving issues as they arise;
Job Requirements
- 1+ years of practical experience or relevant internship in a data-focused role (preferred);
- Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
- Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
- Familiarity with at least one programming language (preferably Python);
- Understanding of ETL concepts and data warehousing fundamentals;
- Eagerness to learn new technologies and best practices in data engineering;
- Strong problem-solving skills and attention to detail;
- Effective communication and teamwork abilities;
- English level: Intermediate (B1) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Databricks)
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Project Description
We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.
Technologies
- Databricks (including Spark, Delta Lake, MLflow)
- Python/Scala
- SQL
- ETL concepts
- Distributed data processing
- Data warehousing
- Cloud Platforms & Storage
What You'll Do
- Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
- Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
- Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
- Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
- Develop and maintain documentation, data models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
- Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
- Strong proficiency in Python and/or Scala for data processing;
- Deep understanding of distributed data processing, data warehousing, and ETL concepts;
- Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
- Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Sep 25, 2025 12:50
Ready to apply?
Apply to Coherent Solutions
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the job
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
We are establishing a AI Engineering team who will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our founding AIs, you will deploy these solutions on the latest infrastructure for the world's most influential businesses, driving real business impact through the newest models and our own innovations in technical delivery.
AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.
We are looking for customer-focused software engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. You will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The AI engineer acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers.
Responsibilities
Customer Engagement:
Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions.
Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies.
AI Solution Development:
Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions.
Iterative Prototyping:
Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries.
Cross-Functional Collaboration:
Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
Provide actionable feedback from customer engagements to inform the development of new AI capabilities.
Knowledge Sharing:
Document best practices and lessons learned from client projects to contribute to internal knowledge bases.
Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.
Requirements
Technical Expertise:
Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.
Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.
Problem-Solving Ability:
Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
Strong analytical skills to evaluate model performance and optimize for specific use cases.
Client-Facing Skills:
Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.
Adaptability:
Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
Willingness to travel or work on-site with clients as required.
Requirements (Education, Certification, Training, and Experience)
Bachelor's degree in computer science or related field or equivalent experience
At least 3 years of experience in software engineering or applied machine learning roles.
Direct experience working with customers on the development of AI-driven applications is highly desirable
Passion for exploring the frontiers of generative and agentic AI technologies.
Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions.
Commitment to continuous learning and staying at the forefront of AI advancements.
This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. You will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations.
BENEFITS
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East's strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account
- Provide structured feedback from customer engagements to influence internal product and platform development
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact
- Willingness to travel or work on-site with clients as required
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles
- Prior experience working directly with customers on AI-driven applications is highly desirable
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- Opportunities for certification and training
- Internal referral bonus up to EUR 1.000
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
WE ARE AMDARIS
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022 and our future is even bigger. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
Role Overview
We are looking for a Principal Engineer to own the architecture, development, and evolution of our content development and distribution pipelines across a multi-platform LMS landscape. You will drive the adoption of AI-assisted content generation workflows, design agentic systems that reduce manual effort at scale, and serve as a hands-on technical lead for a small, high-impact engineering team.
Key Responsibilities
–Design, build, and maintain robust content development and distribution pipelines that serve a diverse LMS ecosystem (e.g.H5P, SCORM/xAPI standards).
–Design and implement agentic AI workflows for automated and semi-automated content generation, curation, tagging, and quality assurance.
–Rapidly prototype new capabilities using AI-native tooling (LLM APIs, vector stores, embedding pipelines) to validate ideas before full-scale engineering investment.
–Lead and mentor a team of 4–6 engineers through technical design, code review, and day-to-day engineering delivery.
–Define and enforce standards for content schema, metadata, versioning, and pipeline observability.
–Partner with product, instructional design, and data teams to translate learning content requirements into scalable technical solutions.
–Evaluate and integrate third-party content and AI services, ensuring compliance with data governance and privacy standards.
–Drive continuous improvement for pipeline reliability, latency, and throughput.
Position Requirements
–8+ years of software engineering experience, with at least 3 years in a senior or principal-level role owning complex data or content pipelines.
–Deep experience with LMS platforms and content standards (H5P, SCORM, xAPI/Tin Can, LTI).
–Proven track record designing and operating agentic or multi-step AI workflows using LLMs (e.g. OpenAI, Anthropic, Gemini), orchestration frameworks (e.g. LangChain, LlamaIndex, CrewAI), and tool use / function calling patterns.
–Strong prototyping instincts — comfortable building working proof-of-concepts quickly with AI coding assistants and modern tooling, then handing off or scaling the result.
–Experience leading small engineering teams: setting technical direction, running design reviews, and growing engineers through coaching and feedback.
–Proficiency in at least one backend language (Python, Node.js, or Java/Kotlin) and familiarity with cloud-native infrastructure (AWS, GCP, or Azure).
–Solid understanding of content storage, CDN distribution, and asset management at scale.
–Clear communicator who can translate technical trade-offs for non-technical stakeholders.
Nice to have
–Experience in EdTech or corporate learning environments at scale.
–Familiarity with RAG (Retrieval-Augmented Generation) architectures for content search and personalization.
–Exposure to fine-tuning or evaluation frameworks for AI-generated educational content.
–Understanding of accessibility standards for digital learning content (WCAG, Section 508).
Core Technologies
Python / Node.js · LLM APIs · LangChain / LlamaIndex · H5P / SCORM / xAPI · LTI · Vector stores · Cloud (AWS / GCP / Azure) · CDN & asset pipelines · REST / GraphQL · CI/CD
BENEFITS
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
Software Architect
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GR8 Tech builds B2B iGaming platforms for operators who play to lead.
We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.
With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.
Our ambition drives us. Our people make it real.
If you’re a challenger in spirit and a champion in action — join us.
Why this role exists:
This role exists to bridge the gap between ambitious business goals and high-performance engineering reality. You’ll help us scale our technical ecosystem by taking full ownership of architectural blueprints, governance standards, and the long-term stability of our distributed systems.
What you’ll drive:
Strategy & Architecture Design
- Define and evangelize technology principles that balance short-term delivery with long-term system vitality.
- Architect distributed systems using Domain-Driven Design (DDD), CQRS, and Event-Driven Architecture (EDA).
- Select and validate the right tools—from Kafka streams to NoSQL stores—to solve specific scale bottlenecks.
Resilience & Governance
- Design for failure by implementing patterns like Circuit Breaker, Bulkhead, and advanced Rate-limiting.
- Establish governance frameworks that unblock developers rather than slowing them down with bureaucracy.
- Optimize data strategies, including sharding, replication, and performance tuning for SQL/NoSQL databases under heavy load.
Delivery & Cloud Evolution
- Build scalable infrastructure using Kubernetes, Docker, and Infrastructure as Code (Terraform/Ansible).
- Modernize CI/CD pipelines to ensure automated, secure, and rapid deployments.
- Drive FinOps initiatives to ensure our cloud architecture is as cost-efficient as it is performant.
Technical Leadership
- Unblock engineering teams by breaking down complex problems into clear, documented architectural blueprints.
- Lead architecture reviews and mentor senior engineers to foster a culture of technical excellence.
What makes you a GR8 fit:
Must-have
- 5+ years in senior/lead engineering roles with a proven track record in Microservices, EDA, and DDD.
- Deep understanding of CAP theorem, ACID properties, and implementing fault-tolerance patterns.
- Hands-on mastery of AWS or Azure, including Kubernetes, Docker, and Terraform (IaC).
- Expert-level SQL/NoSQL knowledge, including database sharding, replication, and query optimization.
- Proficiency in Kafka (architecture, stream processing, and optimization for reliability).
- Master’s degree in Computer Science or a related technical field.
Nice-to-have
- Understanding of IAM, PKI, and building secure VPC/Hybrid cloud environments.
- Experience with GitLab CI/GitHub Actions and optimizing cloud infrastructure costs.
- Designing monitoring strategies using APM tools and logging frameworks for full system visibility.
- Proven ability to migrate monoliths to cloud-native architectures without downtime.
- Experience in technical mentoring, code reviews, and driving engineering excellence across teams.
Why you’ll love working here:
Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.
Work-life & support
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
Our culture & core values:
GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.
FUELLED BY TRUST: we’re open, honest, and have each other’s backs.
OWN YOUR GAME: we take initiative and own what we do.
ACCELER8: we move fast, focus smart, and keep it simple.
CHALLENGE ACCEPTED: we grow through challenges and stay curious.
BULLETPROOF: we’re resilient, ready, and always have a plan.
Ready to apply?
Apply to GR8 Tech
About the job
Industry Insight
Transportation logistics is the foundational industry that powers everything we rely on daily, yet it remains a complex and fragmented domain ripe for technological revolution. The US transportation logistics industry alone is an $800 billion market.
Alvys is not just participating in this change; we are driving it as the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to truly transform this essential sector.
Your role will be at the forefront of automating and standardizing a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, but still lacks modern tools and solutions. Your leadership will help bridge this gap, bringing innovative technologies to a traditionally underserved and mission-critical industry.
About Alvys
Alvys is the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to dominate and truly revolutionize the $800 billion US transportation logistics industry.
We're not just iterating on old tools; we're building a world-class, multi-tenant SaaS platform from the ground up to automate, standardize, and transform this essential sector. Join us to apply your technical vision to one of the economy's most mission-critical and underserved markets, making a massive, tangible impact on the movement of global goods.
This is where industry experience meets cutting-edge technology to create the undisputed market winner, and you will be a core part of that journey.
About The Role
As a Data Engineer, you will be the primary architect of our data ecosystem. Alvys is shifting toward a Snowflake-centric data architecture to power our next generation of logistics intelligence. You aren't just building pipelines; you are defining our LLM-based data strategy, enabling large-scale ML model deployment, and leveraging Snowflake Cortex to turn fragmented logistics data into actionable AI-driven products.
This is a high-visibility, 'player-coach' position. You will work closely with leadership to ensure our data infrastructure supports real-time operational needs today while scaling for the AI-first logistics world of 2026 and beyond.
Our Tech Stack
- Data Platform: Snowflake (Warehouse, Cortex AI/ML, Semantic Models, LLM Agents)
- Data Pipelines: dbt, Fivetran, Reverse ETL (Census)
- AI/ML: Snowflake Cortex, OpenAI, Azure Cognitive
- Backend/Infra: .NET/C#, Python, Azure Ecosystem, GitHub Actions
- Define and implement the strategy for LLM-based data products, including data preparation, semantic layer design, and embedding pipelines for RAG-based applications.
- Own the design and evolution of our Snowflake architecture. Lead the implementation of Snowflake Cortex for AI/ML workloads, including semantic models and LLM agents.
- Design and maintain reliable, performant ELT/Reverse ETL pipelines. Ensure our multi-tenant SaaS data remains isolated, secure, and performant at scale.
- Build and operationalize pipelines for large-scale ML and LLM model development, moving from POC to production-grade deployment within the Snowflake perimeter.
- Think holistically about the data estate. Reduce complexity through modularity and well-defined service boundaries (e.g., Medallion Architecture).
- Serve as the go-to expert for emerging data trends. Mentor engineers and partner with Product and Design to translate complex business logic into automated deliverables.
- 7+ years of experience in Data Engineering with a proven track record of delivering mission-critical data platforms.
- Deep proficiency in Snowflake (Data Modeling, Query Optimization, Security, and Cortex AI functions).
- Expert-level skill in SQL and Python. Extensive experience with dbt and modern orchestration (Airflow/Dagster).
- Demonstrated experience building pipelines for ML or LLM-based applications, including feature engineering and model deployment.
- Competency in Azure (preferred) or other major cloud providers, including CI/CD and infrastructure-as-code principles.
- Experience driving cross-team consensus on architectural decisions and mentoring junior/mid-level engineers.
- Ownership: You take end-to-end responsibility. If it’s in production, it’s yours—from the initial schema design to the final dashboard latency.
- Pragmatism: You believe technical debt is a strategic choice. You choose solutions that scale and solve real problems over theoretical "perfection."
- Simplicity: You prioritize modularity and clean design to reduce cognitive load in a complex logistics domain.
- Transparency: You democratize data. You ensure insights are accessible across the organization and participate in constructive feedback loops.
#LI-Hybrid
Ready to apply?
Apply to Alvys