WE ARE AMDARIS

We are growing aggressively, and we are now looking for a Senior QA Engineer - UI Automation (Python).
The candidate should be capable of handling infrastructure, possess a solid understanding of software development, and be able to develop QA tools and automation frameworks also to embark on an international project and work with the latest testing tools alongside the brightest minds in a collaborative and energetic work environment.
We are offering stimulating salaries plus a great range of benefits, including the opportunity of building and enhancing yourself for a successful career within a highly reputable organisation. A great team mentality is essential, with the ability to lead by example and promote good team spirit and collaboration.

We are building production-grade agentic content workflows for a large-scale English Language Learning ecosystem. 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 QA engineer who thinks in systems, not just test cases. You will own the quality strategy for a platform where outputs are AI-generated, non-deterministic, and educationally consequential, designing evaluation frameworks, setting quality gates, and ensuring what reaches learners meets a consistent standard.

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.

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.

Amdaris Mendix Development Internship 

Amdaris, an Insight company, is a fast-growing software consultancy that has achieved 40%+ year-on-year growth and joined forces with Insight, a Fortune 500 company. We build outstanding software solutions and we believe our people are our greatest asset. 

This time, we’re opening something unique: the Mendix Development Internship — a structured reskilling programme in the maritime domain, based in Bucharest. 

Why Maritime? 

Maritime is one of the most technically demanding and least digitised industries in the world. The systems we build have real operational impact — vessel management, fleet intelligence, port operations. Very few developers have experience in this space, which makes it genuinely rare on your CV. 

How the Programme Works 

The academy runs for three months, each built around a core milestone: 

• Module 1 — Rapid Developer: Learn Mendix from the ground up. Domain modeling, microflows, pages, navigation, and basic integrations through the official Mendix Academy Rapid Developer path. 

• Module 2 — Intermediate Developer: Go deeper. Advanced logic, security, custom JavaScript and Java actions, performance, and the Mendix Academy Intermediate Developer certification. During Modules 1 and 2, you begin building your own maritime project in parallel. 

• Module 3 — Project & Final Presentation: Complete your Mendix application and present it to the Amdaris, development team. Real deliverable. Real audience. 

Every participant is guided by a mentor and has full access to Amdaris, learning materials from day one. 

The work itself includes Mendix development, but also integrations with external APIs, database design, and front-end work. The focus is on building a real application that can be deployed and used in the maritime domain. 

That's why we are looking for developers with a strong foundation in programming and a willingness to learn Mendix, rather than prior experience with the platform itself. 

What We’re Looking For 

• 6 months to 1 year of hands-on experience with JavaScript, TypeScript, or Java — these are used directly for custom actions in Mendix 

• Good understanding of OOP principles — C#, Python, Kotlin and other OOP languages are equally welcome 

• Basic PostgreSQL or relational database experience 

• Low-code experience (Mendix or other platforms) is a bonus, not a requirement 

• Collaborative mindset, willingness to learn, and English at B1 level or above 

• Based in Chisinau or able to work from Chisinau for the duration of the programme 

What You’ll Walk Away With 

• Mendix certifications 

• A deployed maritime application in your portfolio 

• Real enterprise project experience 

• A rare specialisation in a growing niche 

This is a structured, mentored programme based in Chisinau — designed for developers ready to reskill into Mendix and maritime tech. 

Why this role exists:

This role exists to build and scale a seamless, efficient, and human-centered office environment across locations. You’ll help us create a workspace where teams can do their best work — by owning office operations, enabling hybrid work, and ensuring our infrastructure, vendors, and internal services run smoothly at scale.

What you’ll drive:

Strategy & outcomes

• Define and evolve a company-wide workplace strategy across multiple offices and hybrid setup.
• Align workplace operations with business goals, growth plans, and expansion strategy.
• Own budget planning, forecasting, and cost optimization across all locations.
• Establish and track KPIs for operational excellence and employee experience.
• Design scalable standards, policies, and systems for all current and future offices.

• Own end-to-end office operations across multiple locations.
• Lead office launches in new locations, from vendor sourcing and negotiations to setup and go-live.
• Ensure reliable, high-quality day-to-day operations across all workplaces.
• Manage vendors, contracts, procurement, and service delivery at scale.
• Oversee travel operations and company-wide mobility support.
• Build and continuously improve administrative processes, tools, and systems.

Stakeholder & cross-team collaboration

• Partner closely with HR, IT, Security, and Finance to ensure aligned workplace operations.
• Act as the company-wide owner of workplace-related topics.
• Support leadership with insights, reporting, and recommendations.
• Ensure clear, consistent communication across offices and locations.

• Build, lead, and scale a distributed office/admin team across locations.
• Define team structure, roles, and ways of working.
• Set goals, track performance, and drive accountability.
• Foster a culture of ownership, operational excellence, and continuous improvement.
• Support growth and development of team members.

• Analyze office usage, employee needs, and workplace data to inform decisions.
• Evaluate and implement tools and systems (desk booking, attendance, travel, etc.).
• Identify gaps, inefficiencies, and opportunities for standardization and scaling.
• Make data-informed decisions on locations, vendors, and operational models.

What makes you a GR8 fit:

Must-have

• 5+ years in Office Administration / Operations, including leadership experience. 
• Proven experience managing office operations at scale (multi-location is a plus). 
• Strong vendor management and contract negotiation skills. 
• Experience with budgeting, forecasting, and cost control. 
• Ability to work cross-functionally and influence stakeholders. 
• Strong organizational skills and ability to handle competing priorities. 
• Fluent English (for cross-team communication). 

Nice-to-have

• Experience in tech/product companies. 
• Familiarity with workplace tools (desk booking, attendance, travel systems). 
• Experience building or scaling hybrid work environments. 
• Background in compliance, policies, or workplace standards. 

Why this role exists:

This role exists to build and scale a seamless, efficient, and human-centered office environment across locations. You’ll help us create a workspace where teams can do their best work — by owning office operations, enabling hybrid work, and ensuring our infrastructure, vendors, and internal services run smoothly at scale.

What you’ll drive:

Strategy & outcomes

• Define and evolve a company-wide workplace strategy across multiple offices and hybrid setup.
• Align workplace operations with business goals, growth plans, and expansion strategy.
• Own budget planning, forecasting, and cost optimization across all locations.
• Establish and track KPIs for operational excellence and employee experience.
• Design scalable standards, policies, and systems for all current and future offices.

• Own end-to-end office operations across multiple locations.
• Lead office launches in new locations, from vendor sourcing and negotiations to setup and go-live.
• Ensure reliable, high-quality day-to-day operations across all workplaces.
• Manage vendors, contracts, procurement, and service delivery at scale.
• Oversee travel operations and company-wide mobility support.
• Build and continuously improve administrative processes, tools, and systems.

Stakeholder & cross-team collaboration

• Partner closely with HR, IT, Security, and Finance to ensure aligned workplace operations.
• Act as the company-wide owner of workplace-related topics.
• Support leadership with insights, reporting, and recommendations.
• Ensure clear, consistent communication across offices and locations.

• Build, lead, and scale a distributed office/admin team across locations.
• Define team structure, roles, and ways of working.
• Set goals, track performance, and drive accountability.
• Foster a culture of ownership, operational excellence, and continuous improvement.
• Support growth and development of team members.

• Analyze office usage, employee needs, and workplace data to inform decisions.
• Evaluate and implement tools and systems (desk booking, attendance, travel, etc.).
• Identify gaps, inefficiencies, and opportunities for standardization and scaling.
• Make data-informed decisions on locations, vendors, and operational models.

What makes you a GR8 fit:

Must-have

• 5+ years in Office Administration / Operations, including leadership experience. 
• Proven experience managing office operations at scale (multi-location is a plus). 
• Strong vendor management and contract negotiation skills. 
• Experience with budgeting, forecasting, and cost control. 
• Ability to work cross-functionally and influence stakeholders. 
• Strong organizational skills and ability to handle competing priorities. 
• Fluent English (for cross-team communication). 

Nice-to-have

• Experience in tech/product companies. 
• Familiarity with workplace tools (desk booking, attendance, travel systems). 
• Experience building or scaling hybrid work environments. 
• Background in compliance, policies, or workplace standards. 

Why this role exists:

This role exists to keep Private Entrepreneur (PE/FOP) accounting accurate, compliant, and scalable — while leading a team that can support growth across locations without chaos. You’ll own standards, controls, and operations so the business can move fast with confidence.

What you’ll work on:

You’ll lead the PE Hub team, ensure compliance and reporting quality, launch workflows for new locations, and continuously improve processes (including automation).

What you’ll drive:

Team leadership & performance

• Lead the PE Hub team: workload distribution, performance oversight, forecasting resource needs.
• Define KPIs and PDP metrics; build development plans and knowledge-sharing routines.

Compliance & regulatory excellence

• Ensure compliance with relevant laws and regulation changes across jurisdictions.
• Maintain team readiness through updates, internal guidance, and consistent standards.

Internal controls & service quality

• Implement and maintain strong internal controls over PE accounting operations.
• Provide a full spectrum of accounting services with accuracy and predictability.

Reporting

• Ensure accuracy and consistency of PE reporting approaches and outputs.

New locations & scaling

• Research new locations, set up workflows, and ensure documentation completeness and accuracy.
• Build scalable processes so expansion doesn’t break quality.

Process improvement & automation

• Continuously improve internal processes to enhance efficiency, accuracy, and compliance.
• Identify automation opportunities and optimize workflows inside tools/systems.

What makes you a GR8 fit:

Must-have

• 5+ years in accounting/reporting, including supervision of PE activities (FOP/PE).
• Strong knowledge of accounting principles, taxation, and PE-related regulations.
• Experience with internal controls and risk management in accounting/tax.
• Ability to manage audits (at least internal; external is a plus).
• Strong problem-solving under tight deadlines; high attention to detail.
• Experience improving processes and leveraging accounting systems/ERPs.
• English B1+; Ukrainian or Russian fluent.

Nice-to-have

• Experience supporting multiple jurisdictions / cross-border PE setups.

Why this role exists:

We are looking for an Engineering Manager to lead engineering teams within the Sports Business Unit, responsible for delivering all sports betting content and functionality for our B2B platform. The Sports BU owns end-to-end development of sports-related capabilities, including trading, feeds, risk management, mathematical models, odds services, and sportsbook content. This role combines people leadership, technical delivery ownership, and cross-functional collaboration with Product, Trading, and Platform teams to ensure scalable, reliable, and high-performance sportsbook solutions.

What you’ll drive:

Team management & people development

• Conduct regular performance evaluations, provide constructive feedback, and create development plans for team members.
• Address and resolve any conflicts or issues within the team promptly.
• Foster a collaborative environment where team members feel comfortable voicing their concerns.
• Provide training and development opportunities for team members to enhance their skills.
• Organize workshops, seminars, and other learning activities to keep the team updated with the latest technologies and best practices.

Project planning & delivery management

• Define project scope, goals, and deliverables in collaboration with stakeholders.
• Create detailed project plans, including timelines and resource allocation.
• Efficiently allocate resources to meet project demands and balance team workloads.
• Manage team schedules, including handling time-off requests and ensuring adequate coverage.

Quality assurance & technical governance

• Implement and enforce quality assurance processes and standards within the team.
• Ensure thorough testing and validation of deliverables before release.
• Review and approve technical designs, architecture, and code to maintain high-quality standards and ensure consistency.
• Ensure proper documentation of technical designs, system architecture, and code.
• Maintain comprehensive documentation for future reference and knowledge sharing.

Process improvement & best practices

• Continuously seek ways to improve quality and efficiency in development processes.
• Promote agile methodologies and other best practices for software development.
• Identify areas for improvement in team processes and workflows. Implement changes to enhance efficiency, productivity, and quality.
• Promote the adoption of best practices in software development, including agile methodologies and lean processes.
• Track and analyze key performance metrics to identify trends and opportunities for improvement.

Communication & stakeholder management

• Act as the primary point of contact between the team and upper management, as well as other departments.
• Facilitate effective communication and collaboration within the team and across the organization.
• Report on team progress, challenges, and successes to stakeholders and management.
• Ensure transparency and alignment between team efforts and business goals.

What makes you a GR8 fit:

Must-have

• Experience in the betting / trading domain.
• Strong experience with C# / .NET in building scalable, high-load backend systems.
• Experience designing distributed systems and microservices architectures.
• Solid knowledge of event-driven architecture and messaging systems (Kafka or similar).
• Strong expertise in databases (SQL + NoSQL), including performance tuning and scaling.
• Experience with CI/CD, Docker, and Kubernetes.
• Ability to make architectural decisions and take ownership end-to-end.
• Experience operating high-availability, low-latency systems.

Nice-to-have

• Experience with Orleans, MongoDB, RabbitMQ, Elasticsearch, Aerospike.
• Experience with AWS or other cloud platforms.
• Familiarity with observability tools (APM, logging, tracing).
• Understanding of FinOps / cloud cost optimization.
• Previous experience mentoring or leading engineers.

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

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

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.

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

About the job

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

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

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

Principal Delivery Lead

Job description:

The Principal Delivery Lead is responsible for leading and coordinating the successful delivery of complex, multi-team programmes of work, partnering with clients to define and deliver value that meets their business needs and goals. The role ensures delivery is aligned with client expectations and that Amdaris delivery standards and best practices are followed.

Reporting into a Portfolio Director, the Principal Delivery Lead is the most senior hands-on delivery role within Amdaris, recognized as a delivery expert and trusted advisor to clients. Operating as a leader within the Delivery community, the role coaches Senior Delivery Leads and Delivery Leads, sets the standard for delivery excellence, supports delivery improvements in accordance with the Amdaris Way, and acts as an escalation point.

The role holds accountability for high‑quality delivery execution across multiple workstreams and demonstrates influential senior stakeholder management and strong commercial awareness. It requires strong leadership and communication skills, excellent client focus, and the ability to thrive in a fast‑paced environment.

Responsibilities:

Delivery Management

• Confidently owns, and is accountable for, the successful end‑to‑end delivery of strategically important, large‑scale programmes.
• Sets and drives delivery in line with best practice and the Amdaris Way, maintaining consistent quality, effectiveness, and control across the programme.
• Aligns and manages cross‑team dependencies and risks with the client and internal stakeholders, resolving blockers through timely decisions and actions that protect scope, timelines, and programme outcomes.
• Holds Delivery Leads within the programme accountable for effective governance and reporting, ensuring accurate, timely, and transparent status updates across all workstreams.
• Owns and shapes programme-level reporting to provide clear, executive-aligned insights to senior client stakeholders.
• Identifies delivery risks and issues early, working proactively with stakeholders to resolve them before they impact outcomes.
• Leads continuous improvement within the programme, embedding lessons learned and evolving ways of working to improve effectiveness and performance.

Client Management

• Builds strong, trusted and influential relationships with senior client stakeholders, operating as a credible delivery leader and advisor.
• Partners with clients to shape delivery outcomes, providing informed advice and constructive challenge to drive efficient, effective, and value-led delivery.
• Establishes and leads stakeholder engagement, ensuring stakeholder maps, communication plans, and governance frameworks provide executive oversight and enable timely decision making.
• Proactively manages client expectations to maintain confidence, transparency, and delivery momentum.
• Acts as the primary escalation point for delivery-related issues, engaging the Portfolio Director and wider leadership to resolve complex or high-risk issues.
• Leads governance meetings and quarterly client reviews, shaping the agenda and narrative to focus on outcomes, risks, and value delivered.
• Drives the use of client feedback (e.g. NPS) to create targeted improvement plans, engaging the Portfolio Director and/or Client Success Manager as needed for critical issues.

People Management

• Provides coaching and mentorship to Senior Delivery Leads and Delivery Leads, strengthening leadership capability and delivery maturity across the programme.
• Builds delivery capability by identifying skills gaps, developing talent, and providing targeted development actions.
• Sets clear performance expectations and provides constructive feedback, supporting objective setting and progression in line with Amdaris competency frameworks.
• Role-models leadership behaviors and Amdaris values, fostering a high-performance culture where teams are motivated, accountable, and continuously improving.

Commercial Management

• Owns and drives programme-level estimation, shaping and governing estimation approaches across teams. Coaches Delivery Leads to estimate effectively from task to roadmap level, going beyond short-term planning.
• Accountable for the accuracy of estimates and the progress of delivery against agreed commercial factors, proactively managing risks, assumptions, and change requests to protect outcomes.
• Identifies and progresses upsell and cross-sell opportunities in partnership with the client and Amdaris teams, ensuring they are commercially sound and escalated appropriately.
• Maintains a commercially viable team structure across the programme, balancing cost, capability, utilization, and delivery risk.

Reporting, Monitoring and Risk Management

• Leads programme‑level risk, issue, assumption, and dependency management, proactively engaging client and internal stakeholders to mitigate risk and protect outcomes.
• Establishes and governs effective programme governance forums, ensuring they enable timely decision‑making, escalation, and executive oversight.
• Drives improvement plans in response to delivery performance and feedback, tracking effectiveness and embedding sustainable change across the programme.
• Owns programme‑level reporting, ensuring accurate, timely, and insight‑led information is provided to both internal and client stakeholders in line with Amdaris standards.
• Anticipates and addresses resourcing risks, working with the Portfolio Director and wider leadership to implement timely and commercially sound resolutions.
• Champions the effective use of Amdaris delivery tools, systems, and reporting practices, promoting consistency, transparency, and data‑driven decision‑

Education/ Experience:

• Comprehensive delivery experience including end-to-end accountability for complex multi‑team programmes.
• Proven success delivering software‑led programmes using both Agile delivery models and fixed‑price, fixed‑scope commercial arrangements, with accountability for estimates, outcomes, and value delivery.
• Strong understanding of the full software development lifecycle, with the ability to shape delivery approaches, governance, and operating models appropriate to client context.
• Demonstrable experience influencing senior client stakeholders and operating as a trusted delivery advisor in complex, high‑stakes environments.
• Experience coaching, developing, and leading senior delivery practitioners, building delivery capability and leadership maturity across teams and programmes.

Requirements:

• Demonstrated ability to lead, inspire, and develop high‑performing delivery teams, building leadership capability and delivery maturity at scale.
• Exceptional verbal and written communication skills, with a proven track record of influencing and engaging senior and executive client stakeholders.
• Comfortable operating with broad direction in complex environments, taking ownership and accountability of outcomes and decisions.
• Strong analytical and critical‑thinking capability, able to assess complex situations, make sound judgements, and drive effective decision‑making under pressure.
• Proven ability to influence across delivery teams, clients at all levels, and internal stakeholders to align priorities and drive value-led outcomes.
• Experience leading multiple concurrent large‑scale workstreams and operating within complex, multi‑team delivery environments.
• A strong focus on results, quality, and continuous improvement, with the drive to raise standards and deliver measurable value.
• Demonstrates and champions Amdaris values through strong capability in:
  • Collaboration
  • Leadership
  • Continuous learning & improvement
  • Proactive problem solving
  • Customer centricity

Amdaris Benefits:

• Opportunities for certification and training
• 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

Note: This job description reflects essential functions, it does not prescribe or restrict the number or types of tasks that may be assigned or reassigned during the conduct of business.

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