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 global leader in advanced energy storage solutions, specializing in the design and manufacturing of automotive batteries. Headquartered in Milwaukee, Wisconsin, the company serves major automakers and aftermarket retailers, producing over 150 million batteries annually and powering 1 in 3 vehicles worldwide. With operations in more than 50 countries, the company focuses on innovative and sustainable battery technologies for conventional, hybrid, and electric vehicles, supporting the evolving mobility ecosystem.

Project Description

The project focuses on consolidating existing SMS and email prototypes into a single production-ready solution with a user interface for scheduling, configuration, monitoring, and logging. The solution is being built using Power Apps within the company’s environment, with integrations to Snowflake and existing Python and SQL logic.

Technologies

• Azure Functions (API endpoints, data processing);
• Python;
• SQL;
• Snowflake;
• Power Apps (UI, workflows, SharePoint integrations);

What You'll Do

• Migrate the existing messaging solution from Python to Power Apps;
• Enhance and optimize the current SMS solution based on the new messaging architecture;
• Ensure performance, scalability, and reliability of the solution;
• Implement and support global HDIR file upload functionality;
• Design and develop API endpoints for Generic Customer APIs;
• Communicate directly with the client as the primary point of contact for the project;

Job Requirements

• 5+ years of experience as a Data Engineer;
• Experience with SQL and Snowflake;
  
• Experience working with high-load systems and data processing optimization;
• Experience with Azure Functions, primarily for building API endpoints and handling data processing;
• Basic understanding of Python scripting;
• Familiarity with security best practices, including encryption, secure data handling, and compliance with industry regulations;
• Experience with Power Apps is a plus;
• Self-motivated and able to work independently with minimal guidance in a dynamic environment;
• Proven ability to adapt quickly and work effectively in Agile or iterative delivery teams;
• Strong written and verbal communication skills in English;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is an award-winning travel company that connects travelers with a nationwide network of independent travel advisors. The company combines innovative technology, personalized service, and strong supplier partnerships to deliver customized vacation experiences across cruises, resorts, tours, and more.

Project Description

The project focuses on rebuilding a proprietary agent-facing travel platform from the ground up using a modern, cloud-native architecture on Microsoft Azure. The new platform aims to improve performance, scalability, and usability while enabling faster feature delivery and seamless integrations. A key part of the initiative is migrating data from legacy systems to a new PostgreSQL-based architecture and ensuring high availability, security, and performance of critical data systems.

Technologies

• PostgreSQL
• Microsoft Azure
• SQL
• High Availability (Failover, Replication, Backup/Recovery)
• Database Security & Encryption
• CI/CD & DevOps

What You'll Do

• Administer and maintain Azure-managed PostgreSQL databases across environments
• Design scalable and efficient database schemas and architectures
• Monitor and optimize database performance (queries, indexing, execution plans)
• Implement and maintain backup and disaster recovery strategies
• Ensure database security, access control, and compliance
• Plan and execute data migrations from legacy systems
• Write and optimize complex SQL queries, procedures, and functions
• Collaborate with development teams on database design and query optimization
• Automate routine DBA tasks using scripting tools
• Troubleshoot and resolve database issues
• Maintain documentation (data models, ER diagrams, data dictionaries)
• Participate in on-call rotation

Job Requirements

• 5-8 years of experience as a Database Administrator
• Strong experience with PostgreSQL, including Azure-managed environments
• Expert-level SQL skills and query optimization
• Experience with high availability and disaster recovery solutions
• Strong experience with performance tuning and indexing strategies
• Understanding of database security, encryption, and compliance
• Experience with data migration from legacy systems
• Familiarity with database monitoring and performance tools
• Strong analytical and problem-solving skills
• Excellent communication skills
• Ability to work in a greenfield environment
• Strong experience in schema design
• English level: B1 (Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

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. 

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 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

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:

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.

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