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.

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.

Company Background

Our client is a U.S.-based fintech company providing financing solutions for small and medium-sized businesses since 2006. Operating as both a direct lender and a marketplace with a trusted network of partners, the company helps business owners access and compare funding options quickly and efficiently. Their mission is to make financing faster, easier, and more accessible through digital solutions.

Project Description

The project focuses on improving a core API platform for automated loan decisioning. The system is built with PHP and is being enhanced and modernized to improve scalability, performance, and automation.

Technologies

• PHP (5.3)
• CakePHP (2.x, 3.x, 5.x)
• Python
• AWS
• RDS

What You'll Do

• Lead the design, development, and implementation of scalable and efficient cloud-native services;
• Enhance and support API systems to improve decisioning automation;
• Collaborate with the team to modernize and evolve the current platform;
• Drive architecture and technical decisions aligned with business goals;
• Ensure high performance, scalability, and reliability of backend systems;

Job Requirements

• 6+ years of experience in software development;
• Strong experience with PHP;
• Experience designing and building scalable, high-performance systems;
• Strong experience with AWS cloud services and infrastructure;
• Bachelor’s or Master’s degree in Computer Science;
• Strong problem-solving skills and attention to detail;
• Ability to work in a fast-paced, dynamic environment;
• Knowledge of English from Upper-Intermediate (written and spoken);
• Availability to work during US EST hours (up to 7 PM EST when required);

Nice to have:

• Experience with relational (MSSQL, MySQL) and NoSQL databases;
• Experience with microservices and backend development using Java, Spring Boot, OpenAPI, or Python;
• Experience in the financial industry;
• Experience working in Agile environments and leading Agile teams;

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 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.

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

As a member of the DevOps team, you will be responsible for delivering solutions to your assigned team and scalable, reusable solutions across the entire engineering organization. You will operate infrastructure and ensure services are monitored, reliable, automated, and scalable, supporting tasks from server provisioning and application deployments to troubleshooting. You will also help bridge the gap between development and operations, collaborating across engineering and business teams.

Technologies

• AWS
• Kubernetes
• Linux admin
• OpenTelemetry/Grafana/Prometheus/Elasticsearch
• CI/CD
• ArgoCD
• Bash/Python
• Ansible/Chef
• GitLab
• Airflow
• Spark

What You'll Do

• Contribute to the implementation and design of systems and networks used to operate production infrastructure with a focus on automation;
• Collaborate with developers on operations-related issues, providing support and guidance;
• Develop tools to monitor infrastructure and custom applications;
• Troubleshoot issues across the entire stack;
• Document system design and application operation procedures;
• Build, monitor and tune production systems;

Job Requirements

• Experience with or knowledge of AWS and physical infrastructure (other cloud is a plus);
• Experience with or knowledge of automation tools (Terraform or Ansible);
• Troubleshooting skills and experience with Linux;
• Understanding of Linux, networking, and internet fundamentals;
• Understanding of monitoring infrastructure and applications (e.g. Grafana, Prometheus, InfluxDB);
• Scripting skills in one or more of the following: Bash, Python;
• Experience with containers and orchestration tools such as Docker and Kubernetes (or similar);
• Familiarity with CI/CD tools (e.g. GitLab CI, GitHub Actions, Jenkins);
• Confident use of Git, including branching, pull requests, and code review;
• Basic understanding of security concepts, including secrets management, IAM, and HTTPS/TLS;
• Ability to work with logs and identify the root cause of failures;
• Ability to work independently and deliver tasks with minimal supervision;
• Readiness to participate in on-call / shift duties on a rotating schedule;
• English: B1+ level;

Nice To Have

• Experience with highly loaded production systems;
• Experience with support services such as Consul, Zookeeper & ELK;
• Experience with noSQL solutions (Couchbase a plus);
• Experience with big data systems (EMR, Spark & Hive a plus);

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 small and medium-sized business financing provider, operating as both a direct lender and a marketplace with a trusted network of lending partners. The company helps businesses access financing efficiently through a single application process, reducing complexity and saving time.

Project Description

The project focuses on enhancing and maintaining the company’s Salesforce platform, working closely with experienced Salesforce engineers. You will contribute to building scalable solutions, improving platform capabilities, and integrating Salesforce with external systems. The environment emphasizes best practices, code quality, and continuous platform improvement.

Technologies

• Salesforce (Sales Cloud, Service Cloud, Experience Cloud)
• Apex, SOQL, Lightning Web Components (LWC), SFDX
• Visualforce, Aura Components, Lightning Pages
• HTML, CSS, JavaScript
• AWS services, DocuSign
• CI/CD tools

What You'll Do

• Develop and maintain Apex classes and triggers
• Build and enhance UI using LWC, Lightning App Builder, and SLDS
• Integrate Salesforce with external systems (AWS, DocuSign, REST APIs)
• Write and maintain unit tests (Apex / Jest)
• Follow Salesforce best practices for development, documentation, and version control
• Collaborate with stakeholders, product owners, and engineering teams
• Continuously improve and refactor platform components

Job Requirements

• 3+ years of experience in Salesforce development
• Strong experience with Apex, LWC, SOQL, and SFDX
• Experience with Salesforce products (Sales Cloud, Service Cloud, Experience Cloud)
• Experience with HTML, CSS, and JavaScript
• Understanding of Salesforce security and data governance (profiles, roles, sharing rules)
• Knowledge of Salesforce development lifecycle (sandbox, deployment, release management)
• Strong problem-solving skills and ability to work independently
• Good communication and collaboration skills
• English level: B2 (Upper-Intermediate) or higher
• Availability to work with U.S. Eastern Time (EST) overlap (at least 4 hours daily, including availability until 2:00 PM EST)

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

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.

Company Background

Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare.

Project Description

The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance.

Technologies

• Kubernetes, Helm, Kustomize, GitOps (Argo CD, Flux), OpenTofu
• AWS (RDS, S3, KMS, IAM, Secrets Manager)
• NiFi, MariaDB, Flink, Dremio
• OpenTelemetry, Grafana, Jaeger/Tempo, ELK/Loki
• Service Mesh (Linkerd, Istio), OPA
• Bash, Python, PowerShell

What You'll Do

• Design and implement namespace-isolated tenant environments within shared Kubernetes clusters;
• Develop and maintain Helm charts with tenant-specific configurations;
• Build and manage GitOps-based CI/CD pipelines for per-tenant deployments;
• Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3);
• Implement compute isolation (node affinity, taints, tolerations);
• Apply security controls (RBAC, NetworkPolicies, OPA, service mesh);
• Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging;
• Support secure deployment automation and rollback strategies;
• Collaborate with architecture and security teams on compliance validation;
• Participate in backend readiness efforts and transition from NiFi to microservices;

Job Requirements

• 5+ years of experience in DevOps, cloud infrastructure, or platform engineering;
• Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management;
• Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux);
• Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager);
• Experience implementing secure CI/CD pipelines;
• Familiarity with backend/data systems (Flink, Dremio, MariaDB);
• Experience with NiFi (process groups, permissions, variable registries);
• Understanding of service mesh technologies and policy enforcement (OPA);
• Scripting experience (Bash, Python, PowerShell);
• Strong analytical and troubleshooting skills;
• Ability to work independently in fast-paced environments;
• Excellent collaboration and communication skills;
• 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.

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.

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

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.

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.

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

Senior Full Stack (Java+React+AWS) Developer

We’re growing rapidly and are looking for Senior Full Stack Developer professionals to embark on an international software development project. The role will put the latest technologies at your fingertips in a talented, collaborative team and high-energy work environment. We want everyone to build a career they can be proud of and will support you in your development from day one. You’ll be happy to work in a team and lead by example every day.

WE ARE AMDARIS
We connect the right people with the right tasks for fantastic outcomes. We’ve grown 40% every year for the last four years and we’re still getting bigger. With an incredible growth plan and exciting projects from day one, now is the time to join our fantastic team.

Full-stack professionals build the front-end and back-end design of websites and software applications. They create design plans for the user-facing side of applications, which controls look, feel, and function.

They also structure the back part of an application, which manages programme logic and server database interaction. A Senior full-stack professional is trained to understand what is going on between these two interfaces and possesses the variety of software skills needed to work on both. People with a strong desire to learn a multitude of technologies and programming languages with a can-do attitude will thrive in this role. Full-stack professionals are problem-solvers, working in a fast-paced, collaborative office environment alongside other engineers.

FULL STACK DEVELOPER RESPONSIBILITIES

• Design and implement backend services using Kotlin or Java.
• Collaborate with frontend developers or implement frontend features in React.
• Develop APIs and integrate with front-end and third-party systems.
• Participate in proof of concepts (PoCs) and assist in complex feature development.
• Ensure scalability, maintainability, and security of backend systems.
• Write unit and integration tests for backend components.
• Collaborate with DevOps to ensure smooth deployments.

FULL STACK DEVELOPER REQUIREMENTS

• 7+ years of experience.
• Graduate of a systems engineering degree or similar.
• Hands-on experience with Kotlin or Java.
• Experience with Quarkus or Spring Boot frameworks.
• Strong experience with React, including hooks, state management, and component-based architecture.
• Familiarity with TypeScript, modern CSS frameworks, and responsive design principles.
• Experience integrating React with backend APIs (REST and GraphQL).
• Experience with AWS cloud.
• Strong knowledge of micro-frontends.
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB).
• Experience with Reactive Programming paradigms.
• Familiarity with Kafka and event-driven architecture.
• Strong knowledge of microservices and API design.
• Knowledge of frontend build tools, testing frameworks, and performance optimization.
• Experience with CI/CD pipelines and containerization.
• Ability to quickly learn and adopt new technologies.
• Experience using GitHub Copilot or similar AI tools for coding.
• Excellent verbal communication skills in English.

BENEFITS:

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Meal allowance
• Health and Fitness Package
• Medical Reimbursement
• Loyalty scheme
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office