Company Background

Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.

Project Description

As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.

Technologies

• Linux
• AWS
• Chef
• Ansible
• Terraform
• Bash
• Python
• Ruby
• Bamboo
• Kubernetes
• REST APIs
• Microservices
• Prometheus
• InfluxDB
• Nagios
• ELK
• Zookeeper
• Consul
• Spark
• Hive
• EMR
• Couchbase

What You'll Do

• Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
• Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
• Support developers with deployment, observability, and reliability tooling;
• Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
• Collaborate across engineering and business teams to maintain operational excellence;
• Maintain system documentation, deployment procedures, and best practices;
• Proactively identify performance bottlenecks and implement tuning strategies;

Job Requirements

• 3+ years of experience in DevOps roles supporting large-scale production environments;
• Expertise with AWS;
• Strong Linux skills, with advanced knowledge of system internals and networking;
• Knowledge of Victoria Metrics, Click House, and Grafana;
• Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
• Proficiency in scripting languages such as Bash, Python, or Ruby;
• Experience with Kubernetes and container orchestration;
• Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
• Experience with CI/CD practices and tools;
• English: B1+ level (spoken and written);

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;
• Internal startup incubator;
• 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.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

Data Management Platform is the core system that receives, processes and provides information to other external DMPs and real time platforms. The purpose of DMP is to store the connection between users/devices and their respective behavioral categories. Further this data is used by the other teams for the analytics and digital ad targeting. Team roadmap includes developing a new system based on the streaming architecture with a relevant tech stack.

Technologies

• Spark
• Scala
• Vertica
• Kafka
• Airflow
• K8S
• Python, Java (preferable)

What You'll Do

• Own end-to-end development, from design to production, with a focus on innovation and efficiency;
• Lead and mentor developers on complex projects impacting core business systems;
• Contribute to the design and development of next-generation data solutions;
• Implement high-scale big data solutions and contribute to platform infrastructure and architecture;
• Research and evaluate core technologies, integrations, and external APIs;
• Collaborate with cross-functional stakeholders, including Product, Engineering, and data providers;
• Participate in an off-hours pager duty rotation;

Job Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience;
• 4+ years of software development experience;
• 2+ years of experience with Apache Spark;
• 2+ years of experience with Scala (preferred) and/or Python or Java;
• Experience working with high-performance, large-scale, or distributed data systems;
• Experience with SQL and NoSQL databases;
• Experience with Kubernetes;
• Experience with Git;
• Experience building and optimizing data pipelines, ETL processes, and streaming systems (e.g., Hadoop, Spark, Kafka) is a plus;
• Familiarity with tools such as GitLab, Grafana, InfluxDB, and Kibana is a plus;
• Strong communication skills and ability to work effectively in a team;
• English level: 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.

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.

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

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

About the job

SENIOR DEVOPS ENGINEER – AWS

We’re growing rapidly and are looking for Senior DevOps to embark on an international software development project. We want everyone to build a career they can be proud of and will support you in your development from day one. 

WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions our blended model of resources across Europe.
We are growing  and we are now looking for a Senior DevOps Engineer (AWS) to embark on an international project and work with the latest technologies 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 a successful career within a highly reputable organization. A great team mentality is essential, with the ability to lead by example and promote good team spirit and collaboration.

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