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.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

At Stripe, the Operator Tooling team plays a critical role as the Guardians of the Financial Ecosystem. We build intricate solutions to streamline Stripe’s internal workflows, enabling over 8,000 human agents to make informed decisions about how different actors use our products—ensuring compliance with laws and Stripe’s policies.Our work tackles high-impact challenges, such as enabling the efficient decision making and action on preventing illegal transactions (e.g.,  fraud,  drugs,  weapons, and  terrorism financing), and and other risks in the financial landscape—all with the goal of resolving issues quickly and correctly for our merchants and their clients.
We operate across multiple products, with a tech stack that includes Ruby, React, GraphQL, and MongoDB, alongside essential tools like GitHub, Logscale, and Grafana.

What you’ll do

• Knowledge Sharing Sessions to expand your expertise
• Dedicated 1:1 mentorship to support your professional development
• Clear, measurable impact—your contributions will directly shape Stripe’s ability to maintain a secure and compliant platform.

• Recruit, coach, and develop a team of exceptional engineers.
• Lead the development of Stripe's operations tooling providing reliable, user-first surfaces that just feel natural
• Cultivating a culture of engineering excellence, innovation, and user empathy
• Drive your engineering team towards exceptional technical quality, reliability, scalability, and operational excellence.
• Provide hands-on technical leadership to your engineering team across multiple areas, including architecture, design, code reviews, quality assurance, and incident management.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 8+ years of professional hands-on software development experience
• 2+ years of experience leading software engineering teams
• Hands-on experience designing and building large scale distributed systems
• A track record of managing and mentoring junior and senior engineers
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome that benefits our customers.
• A track record of attracting and hiring top talents, and growing teams
• Demonstrated ability of defining & driving complex initiatives/projects across multiple teams
• Proven success with cross-discipline and cross-team collaborations.

Preferred qualifications

• Experience building and operating highly-scalable data-intensive services.
• Experience building and operating observability solutions, such designing/building telemetry collections, data transport and storage solutions and composable UI architectures.

It’s not expected that you’ll have deep expertise in every dimension above, but you should be interested in learning any of the areas that are less familiar.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

4-month engagement with the possibility of extension

Project Tech Stack

Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines

What You’ll Do  

• Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
• Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
• Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
• Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
• Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
• Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
• Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
• Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
• Define the reconciliation and testing framework for view validation against SQL Server source systems
• Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
• Produce high-quality, well-documented, maintainable code — not quick fixes
• Execute or oversee the reconciliation framework to prove view correctness against source systems
• Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
• Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
• Support the Engagement Lead in presenting the recovery plan to the client for sign-off
• Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
• Support the delivery management function with regular, accurate progress reporting

What You Bring 

• Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
• Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
• Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
• Familiarity with Microsoft Purview for data governance and lineage (desirable)
• Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
• Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
• Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
• Experience with Unity Catalog configuration and RBAC
• Familiarity with Databricks Lakeflow (desirable)
• Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
• Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
• Experience building and running reconciliation frameworks to validate migrated data against source systems
• Solid Python skills for pipeline logic, test scripting, and utility development
• Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
• Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
• Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
• Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
• Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
• Experience producing and owning delivery plans — not just contributing to them
• Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
• Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

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

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

4-month engagement with the possibility of extension

Project Tech Stack

Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines

What You’ll Do  

• Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
• Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
• Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
• Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
• Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
• Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
• Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
• Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
• Define the reconciliation and testing framework for view validation against SQL Server source systems
• Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
• Produce high-quality, well-documented, maintainable code — not quick fixes
• Execute or oversee the reconciliation framework to prove view correctness against source systems
• Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
• Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
• Support the Engagement Lead in presenting the recovery plan to the client for sign-off
• Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
• Support the delivery management function with regular, accurate progress reporting

What You Bring 

• Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
• Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
• Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
• Familiarity with Microsoft Purview for data governance and lineage (desirable)
• Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
• Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
• Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
• Experience with Unity Catalog configuration and RBAC
• Familiarity with Databricks Lakeflow (desirable)
• Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
• Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
• Experience building and running reconciliation frameworks to validate migrated data against source systems
• Solid Python skills for pipeline logic, test scripting, and utility development
• Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
• Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
• Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
• Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
• Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
• Experience producing and owning delivery plans — not just contributing to them
• Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
• Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

4-month engagement with the possibility of extension

Project Tech Stack

Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines

What You’ll Do  

• Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
• Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
• Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
• Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
• Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
• Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
• Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
• Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
• Define the reconciliation and testing framework for view validation against SQL Server source systems
• Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
• Produce high-quality, well-documented, maintainable code — not quick fixes
• Execute or oversee the reconciliation framework to prove view correctness against source systems
• Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
• Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
• Support the Engagement Lead in presenting the recovery plan to the client for sign-off
• Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
• Support the delivery management function with regular, accurate progress reporting

What You Bring 

• Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
• Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
• Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
• Familiarity with Microsoft Purview for data governance and lineage (desirable)
• Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
• Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
• Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
• Experience with Unity Catalog configuration and RBAC
• Familiarity with Databricks Lakeflow (desirable)
• Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
• Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
• Experience building and running reconciliation frameworks to validate migrated data against source systems
• Solid Python skills for pipeline logic, test scripting, and utility development
• Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
• Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
• Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
• Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
• Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
• Experience producing and owning delivery plans — not just contributing to them
• Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
• Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

The Product: MetaDefender Managed File Trasnfer

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete architecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.

As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.

If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.

What We Are Looking For 

• AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
• Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity! 

As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.

If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.

What We Are Looking For

• AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
• Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender Managed File Trasnfer

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.

If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.

What We Are Looking For 

• AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
• Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.

If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.

What We Are Looking For

• AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
• Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life. 

What You Will Be Doing 

• Drive AI transformation across the CTO department, with potential impact company wide 

• Own oversight of all AI initiatives within the CTO department and report progress to executive leadership 

• Partner with product leaders to embed AI into solution campaigns, sales enablement, and customer messaging 

• Translate technical AI work into clear business value and customer-facing use cases 

• Gather business needs and opportunities from Product VPs and channel them into the AI roadmap with data science and engineering 

• Collaborate closely with the data science team and engineering managers on roadmap execution 

• Provide technical feedback to stakeholders on AI feasibility and scope 

What We Need From You 

• Experience bridging AI/ML technology and business outcomes 

• 5+ years of experience in cybersecurity or critical infrastructure 

• Previous involvement in defining or shaping AI strategy within an organization 

• Working understanding of machine learning, deep learning, and LLM fundamentals 

• Proven ability to translate technical concepts into business value for executives and customers 

• Strong communication and stakeholder management skills across technical and business audiences 

• Experience with roadmap planning and executive reporting 

• A grounded, pragmatic approach to AI 

Nice to Have 

• Experience launching or developing an AI-first product from concept to market 

• Hands-on experience launching AI-powered features or go-to-market campaigns 

• Familiarity with applied AI use cases in enterprise software environments 

• Exposure to working with data science teams in a product or strategy capacity 

• Experience contributing to sales enablement, positioning, or messaging for AI-powered products 

• Track record of partnering with sales, marketing, or customer-facing teams to drive product adoption 

In this role, you will design, build, and improve machine learning models for cybersecurity and malware-related use cases. You will focus on experimenting with model architectures, preparing and evaluating data, and supporting the deployment and integration of ML solutions into production systems. You will work closely with engineers and product teams to ensure models are robust, scalable, and impactful.

If you’re interested in working as a Machine Learning Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Train, test, and optimize machine learning models for cybersecurity and malware detection use cases.

• Experiment with and evaluate different model architectures, including classical ML and deep learning approaches.

• Perform data exploration, feature engineering, and data preprocessing on large, complex datasets (structured and unstructured).

• Design and execute model evaluation pipelines, including performance analysis, validation strategies, and benchmarking.

• Collaborate with data engineers and threat researchers to improve data quality, feature sets, and model performance.

• Support the deployment, integration, and monitoring of ML models in production environments.

• Contribute to building scalable ML workflows and improving model development lifecycle practices.

• Work with cross-functional teams to translate business and product requirements into ML solutions.

What We Are Looking For

• Degree in Computer Science, Mathematics, Engineering, AI, or a related field.

• Solid understanding of machine learning algorithms, model training, evaluation techniques, and optimization methods.

• Hands-on experience with Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with data exploration, feature engineering, and working with real-world datasets.

• Familiarity with model evaluation metrics and validation strategies.

• Basic understanding of deploying and integrating ML models into production systems.

• Experience with cloud platforms (AWS preferred) is a plus.

• Familiarity with MLOps practices and tools is an advantage.

• Strong problem-solving skills, attention to detail, and willingness to experiment and learn.

• Ability to communicate findings and collaborate effectively within cross-functional teams.

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

What You’ll Do

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team 
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

What You Bring

• Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Demonstrated team leadership experience
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice to have

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow or similar orchestration tools
• Understanding of data security practices and compliance frameworks

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English (Spanish / German / French nice to have)
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

• 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support
• Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
• Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
• Free access to Bookster library platform for borrowing your favorite books for free
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.

#LI-AG2

About the Role

We are looking for an experienced Campaign Manager to lead global, enterprise-focused campaigns in the rapidly evolving space of data security and AI governance. This role is ideal for a marketer who thrives in a fast-paced environment, can translate complex security and AI concepts into compelling enterprise narratives, and is motivated by measurable business impact.

You will own end-to-end campaign strategy and execution, working cross-functionally with Product Marketing, PR, Digital, Field Marketing, and regional teams to drive awareness, engagement, and pipeline for Veeam’s Security and AI governance go-to-market initiatives.

What You’ll Do

• Own and execute global go-to-market campaigns focused on data security, privacy, and AI governance
• Develop and launch integrated, end-to-end campaigns aligned with enterprise buyer journeys — from awareness to pipeline generation
• Translate complex topics (AI risk, data protection, governance, resilience) into clear, compelling value propositions and messaging in partnership with Product Marketing
• Design and execute omnichannel programs across paid media, email, web, social, webinars, and virtual or in-person events
• Leverage segmentation, intent data, and ABM strategies to improve engagement quality and conversion across enterprise accounts
• Collaborate with and manage internal and external stakeholders (creative teams, digital teams, agencies, regional marketers) to deliver high-quality campaign assets
• Build campaign roadmaps, messaging frameworks, and promotional plans tailored to buyer personas and use cases
• Manage campaign budgets and optimize ROI and ROAS
• Analyze performance data, report insights to senior stakeholders, and continuously optimize campaigns based on results
• Ensure alignment between global strategy and regional/field marketing execution
• Support annual and quarterly planning, forecasting, and prioritization for campaign initiatives

What You’ll Bring

• 6–8+ years of experience in B2B marketing campaign management, with a focus on enterprise audiences
• Strong background in B2B technology, SaaS, security, data, or AI-related domains
• Proven ability to manage complex, global campaigns in fast-paced and evolving environments
• Deep understanding of enterprise buying committees, executive personas, and buying group dynamics
• Hands-on experience with ABM strategies and tools (e.g., 6sense or similar)
• Strong expertise in omnichannel digital marketing (paid media, email, social, web, webinars)
• Analytical mindset with the ability to translate data into actionable insights
• Excellent communication and stakeholder management skills, including experience presenting to senior leadership
• Ability to operate effectively in ambiguous environments and adapt quickly to change
• Bachelor’s degree or equivalent combination of education and experience
• Advanced English proficiency

Tools & Knowledge

• Enterprise campaign management and demand generation best practices
• Digital marketing across paid, owned, and earned channels
• Executive-level messaging and copywriting
• Analytics and reporting tools (e.g., Tableau, Power BI)
• Project management tools (e.g., JIRA, Monday.com)
• Salesforce experience is a plus
• ABM and intent data platforms (e.g., 6sense) are a plus

What You’ll Get 

• 21 annual vacation days, additional days based on tenure, plus 4 global VeeaMe Days for self-care
• Private health, dental, and vision insurance for employees and dependents
• Mental health support with up to 12 free therapy sessions
• Private hospital coverage for planned and emergency care
• Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
• Life, critical illness, and disability insurance
• One paid volunteer day annually through Veeam Cares
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program

#LI-AP1

How You'll Make an Impact:

Cloudbeds is looking for a Product Manager to own and evolve the core accounting and financial operations systems that power the Cloudbeds platform. This role sits at the intersection of hospitality operations and accounting, shaping how tens of thousands of properties worldwide handle folio transactions, record money movements, close their books, and integrate with downstream financial systems.

You will be responsible for defining the product vision and execution strategy for the financial backbone of Cloudbeds, ensuring accuracy, auditability, and scalability while supporting diverse operational workflows across regions, property types, and accounting practices.

This is a high-impact role working on mission-critical, high-trust systems used daily by hotel operators, finance teams, and integration partners.

Our Product Team:

Our team is energized by tackling complex problems and turning them into elegant and scalable solutions. We collaborate openly with deep respect for diverse perspectives, value candid feedback, and rely on strong async communication to move fast while staying aligned as a remote-first team. People who can create structure from ambiguity and push ideas forward with others do especially well here.

What You Bring to the Team:

• Own the strategy and lead the execution of our financial operations & accounting products within the Cloudbeds Platform
• Lead accounting integrations from end to end, with a focus on platform extensibility, clear documentation, and an excellent developer experience for partners and customers
• Drive user discovery to deeply understand workflows, constraints, and pain points
• Translate business and customer needs into concise and detailed product requirements
• Use data to validate hypotheses and to justify product decisions
• Define success metrics and track progress throughout the product life cycle
• Collaborate closely with engineering, design, and integration partners to deliver world-class products

What Sets You Up for Success:

• 5+ years of product management experience with SaaS products in finance, accounting, payments, or other high-trust systems
• 2+ years of experience collaborating with fully remote, international multi-disciplinary teams
• Solid understanding of accounting fundamentals
• Strong critical and analytical skills to solve real customer problems
• Ability to articulate complex concepts to cross-functional audiences
• Demonstrated ability to use AI thoughtfully as a force multiplier, while applying sound product judgement for final outputs
• Curiosity to learn new things and challenge the status quo
• Degree in Business, Finance, Accounting, Computer Science, or a related field

Bonus Skills to Stand Out (Optional):

• Prior experience in the hospitality or travel industry
• Knowledge of hospitality-specific accounting software ecosystems and integrations
• Experience building PMS, ERP, or accounting products
• Experience working with compliance, audit, or regional accounting requirements

#LI-SD1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

ABOUT THIS ROLE

As a Forward Deployed Engineer (AI) at OPAQUE Systems, you are the technical bridge between our enterprise customers and OPAQUE's confidential AI platform. You will work directly with customer engineering teams — from initial architecture review through production deployment — helping them install and deploy OPAQUE in their environment, and build AI solutions (agents / agentic workflows, RAG pipelines, LLM integrations) that run on OPAQUE's confidential AI platform.

This is a hands-on technical role. You will write code, run POCs, architect solutions, and own the customer's path from "interested" to "getting value." You will also be a critical signal source for the product team — the patterns you see in the field shape what OPAQUE builds next.

KEY RESPONSIBILITIES

• Develop custom AI / agentic solutions tailored to customer needs
• Lead technical discovery and architecture scoping with enterprise customers — translate vague AI / agentic aspirations into concrete implementation plans.
• Design and build production-grade solutions for agentic workflows, RAG pipelines, and LLM integrations on OPAQUE's platform.
• Partner with customer engineering teams through production deployment — unblock integration issues, debug failures, and ensure the solution is maintainable.
• Run technical whiteboard sessions, architecture reviews, and POC demonstrations with CTO, CISO, and engineering leader audiences.
• Synthesize field observations into product feedback — use case patterns, integration friction, objections, and feature gaps.
• Build reusable artifacts: integration guides, POC templates, architectural reference designs, and objection playbooks.
• Stay ahead of the AI landscape — agentic frameworks, RAG techniques, LLM capabilities, enterprise AI tooling.

QUALIFICATIONS

• 5+ years of software engineering experience working on production AI/ML systems
• Hands-on experience building agentic workflows: tool use, multi-agent orchestration, memory architecture, agent reliability patterns.
• Deep hands-on experience with RAG pipeline design: chunking strategies, embedding models, vector databases, retrieval quality evaluation, re-ranking.
• Strong Python skills; experience with AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, or similar).
• Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production environments.
• Ability to work directly with enterprise customer teams — comfortable with executive-level technical conversations.
• Strong understanding of enterprise deployment constraints: IAM, data residency, network topology, compliance requirements (SOC 2, HIPAA, FedRAMP).
• Security-aware engineering mindset — understands trust boundaries, data flow, and why cryptographic attestation matters for regulated industries.
• Bonus: Experience with confidential computing, TEEs, or privacy-preserving AI.

What is The Role

Elastic’s Support team is unlike any other on Earth: while we are spread across more than 12 time zones and 28 countries, we operate as a unit.

We deliver support that is customer-centric, grounded in deep technical expertise, and outcome-focused. Our approach combines genuine care for our customers with direct communication, high standards, and a commitment to thorough problem solving.

This team thrives on curiosity, accountability, and continuous improvement. We value engineers who ask thoughtful questions, challenge assumptions, and are comfortable being challenged in return. Progress matters to us. We focus on moving forward, learning from experience, and raising the bar with every interaction.

We work in a fast-paced, evolving environment and approach both, successes and setbacks, as a team. We are excited to welcome a Support Engineer who is motivated by meaningful impact, collaboration, and delivering excellent customer experiences.

What You Will Be Doing:

• Providing an expert level of service to our EMEA customers.
• Ensuring technical customer issues are serviced within our contractual SLA, and managed to resolution.
• Document and share your knowledge with the rest of the organization and our customers applying Knowledge Centered-Services (KCS) methodology.
• Have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.
• Work across multi-cultural and geographically distributed teams.

What You Bring Along:

• 3+ years of proven experience in Technical Support in a Software business.
• A technical background in fields like; Information Technology, Network Engineering, Software Engineering etc.
• A "Customer First" mindset
• You are a team player; ability to work in a fast paced environment with a positive and adaptable approach
• Knowledge of databases (SQL / No SQL) or search software technologies
• Experience with SaaS and/or Distributed systems
• Experience with Linux/Unix
• Experience with APIs
• Familiarity with Knowledge Centered-Services (KCS)
• Highly collaborative, contributing to the success of a team through actions such as participating in initiatives/projects.
• Professional working proficiency in English (level C1+)
• Effective verbal and written communication skills.

Bonus Points:

• Experience with administering and/or troubleshooting Elastic products in a production environment.
• Experience with Networking and/or Load Balancers.
• Experience with Kubernetes.
• Experience with Message Brokering (e.g. Kafka).
• Professional working proficiency in German or French is a plus.
• Curiosity is key! You have already researched our products and possibly downloaded our stack to test it out.

As the Marketing Operations Specialist, you are the engine room of our Marketing GTM machine. While you will support the Manager, Marketing Operations design the blueprint, you are also the builder and the guardian of the systems. You will be responsible for the "day-to-day" excellence of our Martech stack; ensuring data flows seamlessly between marketing platforms and Salesforce, building the workflows that power our campaigns, and turning raw data into the dashboards that drive executive decisions.

This is a role for a technical executor who loves "the plumbing" and takes pride in a perfectly clean CRM and a flawlessly executed campaign launch.

What You Will Be Doing

1. System Administration & Integration Health

• HubSpot <> SFDC Sync: Own the day-to-day health of the HubSpot-Salesforce integration. You will monitor sync errors, map new fields, and ensure that data integrity is maintained across both platforms.
• Tech Stack Maintenance: Assist in the administration of our leading tech stack, including Qualified, LeanData, and Demandbase, ensuring users are provisioned and tools are firing correctly.

2. Campaign Operations & Data Management

• The Campaign Launchpad: Act as the primary technical resource for campaign execution. You will support the marketing team with the "back-end" of marketing initiatives i.e. the underlying automation that ensures every click is tracked and every lead is routed.
• The Post-Event Engine: Own the end-to-end data process for offline events (trade shows, conferences etc). This includes cleaning lead lists, enriching data via Clay, uploading to HubSpot, and triggering the correct follow-up processes.
• Data Hygiene: Run regular audits to deduplicate records, fix formatting issues, and ensure our ICP (Ideal Customer Profile) attributes are accurately captured.

3. Reporting & Insight Delivery

• Dashboard Construction: Build and maintain reports in HubSpot, Salesforce and Looker to track MQLs, SQLs, and conversion rates.
• Attribution Support: Work within Dreamdata to ensure all touchpoints are being tracked correctly to ensure we have full funnel attribution reporting.
• Performance Monitoring: Provide weekly updates on campaign performance, highlighting bottlenecks in the lead funnel.

4. Workflow & Process Automation

• Automation Build: Build and test complex workflows in HubSpot for lead scoring, automated nurturing, and internal notifications.
• Process Documentation: Keep our "GTM Playbook" up to date by documenting every workflow and system change you implement.

What You Bring to the Team

• Experience: 2–4 years of hands-on experience in Marketing or Revenue Operations within a B2B SaaS environment.
• The HubSpot/SFDC Specialist: You have deep experience in HubSpot (Marketing Hub) and Salesforce. You know how to build a report, map a custom object, and troubleshoot a sync error in your sleep.
• Data Obsessive: You are highly proficient in Excel/Google Sheets. You find satisfaction in a clean CSV and have a "measure twice, cut once" mentality.
• Tool Curious: While you are a HubSpot expert, you are eager to learn and master other Martech tools like Clay, LeanData, and Dreamdata.
• Agility: You can pivot from a technical deep-dive into a Salesforce mapping issue to the rapid execution of a post-event lead upload.

Why this role?

You will be working under a strategic leader in a "future-stack" environment. You won't just be doing traditional Ops; you will be learning how to use AI (Gemini/Claude) and Clay to automate the boring parts of your job, giving you more time to build sophisticated GTM motions.

What’s in it for you?

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical 
• Budget to set up your home office upon joining
• Annual learning budget to drive your performance and career development
• Meal Vouchers 35 RON/ Day 
• Access to an Employee Assistance Programme (Atlas) 
• Medical Insurance 
• 7Card Subscription (upon request)

We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.

Key Responsibilities

• Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
• Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
• Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
• Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
• Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
• Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently. 

Qualifications

• 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
• Experience leading cross-functional teams and delivering impactful results.
• Deep understanding of modern product and project management practices. 
• Good understanding of when development is needed or not needed to solve the problem.
• Strong analytical mindset with the ability to make data-informed decisions.
• Strong organizational, planning, and delivery skills are a must.
• Excellent communication with strong stakeholder engagement and alignment skills.
• Proven records in business process analysis, optimization, and digital transformation.
• Experience in building automations to optimize processes and manual tasks.
• Self-driven, highly organized, and comfortable working remotely across time zones.
• Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
• Previous BA experience is a plus.
• Fluent in English (spoken and written).

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

At Super Technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Super Technologies to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Super Technologies moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical and ML methods and bringing them to life in dashboards (we use Tableau). It would be also great if you have experience/basic knowledge of python or R.
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 4+ years of relevant experience.

Your mission

At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.

What you’ll do 

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
• Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
• Lead the evolution of our event-driven architecture, helping scale systems for future growth
• Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
• Work in a high-impact environment where your code directly supports critical business functions across the company

Who you are

• Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
• A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
• Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
• Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
• Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
• Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Databases are notoriously hard to optimize—with 350+ configuration parameters in PostgreSQL alone, even experienced engineers struggle to find the right settings. Have you ever dreamed about a database that continuously self-optimizes itself in the background, so you can focus on what really matters: building great products?

Sometimes your queries slow down and it's not immediately clear why. Imagine a system that proactively detects performance degradation, analyzes the root cause, and automatically improves your queries and indexes for you—creating pull requests with the exact optimizations needed.

CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex.

You'll work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

Requirements:

• Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments
• Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems
• Strong programming skills in Go and/or C++
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment
• Strong written and verbal communication skills in English
• Ability to work independently and collaboratively within a team
• Startup mindset: adaptable, proactive, and comfortable with ambiguity
• A proactive, problem-solving mindset with a "yes we can" attitude

Here are some of the tools we use daily:

• Mostly Golang with C++ in the most critical data pathways
• Extending Envoy with custom network filters
• ClickHouse and PostgreSQL for business metrics
• GRPC and REST APIs
• GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability
• Deployment charts are written in Helm.

Responsibilities:

• Design, build, and operate database optimization services in Go and C++.
• Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings.
• Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database).
• Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities.
• Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking.
• Shape public and internal APIs with an eye for simplicity and developer experience.
• Participate in design reviews, code reviews, and occasional customer deep‑dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

#LI-Remote

Recognized for its innovative impact, Udacity continues to empower people with the skills they need to secure the jobs they want.

Our School of Artificial Intelligence is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore opportunities to collaborate with us. 

Example Mentor Roles:

• Session Lead - Session Leads are industry experts who share knowledge, inspiration, and real-world insights with Udacity learners through virtual sessions. In this role, you will provide hands-on guidance, address pressing questions, and interact directly with learners in a live setting. Drive learner success through an engaging and supportive learning environment. 

• Tutor - As a tutor, you’ll be at the core of our learner communities, providing essential support and guidance. You will answer content-related questions on our community platform, actively participate in virtual community activities, and help foster meaningful engagement with our learners to stay motivated and on track. 

• Career Coach - Career Coaches play a vital role in empowering learners to achieve their professional goals. In this role, you will provide personalized career guidance through webinars, virtual coaching sessions, and community activities, offering insights on projects, industry best practices, and job-search strategies. Your efforts will help foster a vibrant, career-focused community, motivating learners to approach the job market with confidence and clarity.

You’ll be an excellent fit if you have:

• Proven technical expertise with 3+ years of experience in Artificial Intelligence or Machine Learning
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving Udacity's mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity. 

Let's work together to shape the future of tech education!

Our Partner

Our partner is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability. 

Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers.  

Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge. 

Role Overview

We are looking for an experienced System Network engineer who specializes in service provider solutions and complex Routing/MPLS Environment.

Responsibilities

• Learning and understanding complex service provider networking concepts.
• Design and maintain a lab topology based on various customers networking solutions.
• interact with customers to understand their exact topology environment.
• Understanding customers requirements and test them.
• Run testing scripts and monitor the result in lab environment.

Requirements

Must Have:

• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience). 
• CCNP, CCIE certificate or equivalent knowledge.
• 5 years of experience in service provider IP/MPLS team or networking vendor that specialize in IP/MPLS.
• Deep knowledge and experience in Routing/MPLS protocol such ISIS or OSPF, BGP, LDP and L3VPN.
• Knowledge with services such SNMP, LACP, TACACS/RADIUS and QoS.
• Able to work in complex environment/tasks.
• Good communication skills, worldwide customer facing, good English.
• Self-learning and issue solving.

Nice to Have:

• Knowledge in Linux systems.
• Knowledge and experience in traffic engineering technologies such IGP-TE, RSVP, SR.
• Knowledge and experience in Multicast technologies such PIM SSM/ASM and MVPN.
• Knowledge with QA include HLD, LLD.
• Knowledge and experience with Jira.
• Experience with Testing Tools such IXIA or Spirent.
• Knowledge and experience with Automation scripts in Java, Python or BASH.

Reasons to Work with Us

• Competitive financial conditions.
• Opportunity to work on internationally recognized projects.
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
• An exciting career path within a friendly, dynamic, and growing organization.
• Professional development opportunities in a multicultural environment.
• Private medical coverage with Medlife or Regina Maria.
• Meal vouchers.
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
• Team-building events and other social experiences.
• Budget allocated for certifications relevant to your project.
• Workshops, internal training sessions, and knowledge-sharing opportunities.
• Convenient city-center office location.
• Shared parking spaces.

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

Our Partner

Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.

Role Overview

We are looking for a Python Software Engineer to join the AI Module project which enables operators gain valuable insights about their network and promote network improvement automation using AI and ML for real-time Anomaly Detection, Root Cause Analysis and automated resolution for corrective actions. If you’re passionate about using Python and visualizing data, we’d love to hear from you.

Responsibilities

• Design, develop and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data throughput.
• Develop dashboards / visualizations to complement the backend code.
• Monitor, improve the performance of microservices and related services that are being used (e.g. SQL Database). This includes (load) testing, identifying bottlenecks, finding solutions to scale.
• Work closely with researchers to implement business logic algorithms to solve use cases.
• Work collaboratively with cross-functional teams, including DevOps, IT, Product Managers, to align development with business goals.
• Strive for high-quality code, documentation, adhere to coding standards, and promote best practices within the team.
• Stay updated with the latest in Python, libraries, microservices, data visualization. Propose and implement innovative solutions to enhance our capabilities.

Requirements

Must Have:

• At least 2-3 years of experience in software development or equivalent skills. We know there are talented people out there who are young but highly skilled.
• A Bachelor’s degree in Computer Science or a closely related discipline.
• Solid Python programming skills with a deep understanding of frameworks such as FastAPI, pydantic, sqlalchemy, pymongo.
• Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization.
• Basic understanding of Machine Learning concepts. We’re not doing pure research but we want you to be able to understand from a high level how some algorithms and approaches work.
• Fair knowledge of containers (e.g. Docker/Podman, Dockerfile) and Kubernetes, they are everywhere these days.
• Flexibility, we are an agile team and we’re not afraid of fixing DevOps/GitOps/Infrastructure/OS/you-name-it issues.

Nice to Have:

• Knowledge of Kubernetes, Helm, be able to deploy a helm chart, debug containers.
• Basic knowledge of PowerBI / Tableu / Grafana / etc, how to make dashboards, view Timeseries data.
• Code performance oriented – early optimization is the root of all evil however we keep an eye on it.
• Visual Studio Code IDE fan.
• UI Skills, JavaScript / Typescript, React.
• Master’s degree in Computer Science, Engineering, or related field.

Reasons to Work with Us

• Competitive financial conditions.
• Opportunity to work on internationally recognized projects.
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
• An exciting career path within a friendly, dynamic, and growing organization.
• Professional development opportunities in a multicultural environment.
• Private medical coverage with Medlife or Regina Maria.
• Meal vouchers.
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
• Team-building events and other social experiences.
• Budget allocated for certifications relevant to your project.
• Workshops, internal training sessions, and knowledge-sharing opportunities.
• Convenient city-center office location.
• Shared parking spaces.

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

About the Role

We're building a game unlike anything else on the market. One that blends multiple gameplay layers into a fresh, deeply engaging experience for a broad casual audience. The creative foundation is strong. Now we need someone who can turn that innovation into a thriving business.

As Associate Director of Product, you'll own the product direction end-to-end: the game economy, live operations, monetization strategy, and the critical decisions that take us from soft launch validation to global launch and scale. This is a hands-on IC role with outsized strategic impact: you won't manage a team on day one, but you'll shape the business, influence every department that touches the game, and build toward a people-leadership track as we grow.

This isn't a role for someone who wants a playbook. It's for someone who can write one - for a game that's breaking new ground, for an audience we're still learning about, in a market that rewards boldness over convention.

What You’ll Achieve: 

• Own the game economy across multiple interconnected systems ( progression, monetization, resource flows ) and ensure long-term health and commercial viability.
• Drive product direction by translating strategic hypotheses into concrete decisions, specifications, and shipped features.
• Run live operations strategy: event cadence, segmentation, personalization, offer testing, and build toward a system that scales globally.
• Validate soft launch performance through disciplined experimentation.  A/B tests, cohort analysis, and KPI deep-dives are deeply understood, and you make clear recommendations on global launch readiness.
• Take real decisions under real pressure. You'll own the call on what to ship, what to cut, and when we're ready to scale.
• Leverage AI to multiply your impact.  You do that not as a buzzword, but as a core working method. We expect firsthand knowledge of how AI tools reshape productivity, analysis, and product outcomes by orders of magnitude.
• Influence across departments ( design, engineering, analytics, marketing, central teams), rallying people around the mission and the business of the game.
• Deeply understand our audience: who they are, what they value, how they play, and what will make them stay and pay.
• Write high-quality, actionable product specifications that enable speed without compromising system integrity.

Who You Are:

• A deep product thinker. You see systems, not features. You think in feedback loops, second-order effects, and long-term arcs.
• Someone who genuinely loves games. You play broadly, think critically about what works and why, and care about the player experience, not just the metrics.
• Adventurous and bold. You're drawn to innovation and uncharted territory. You'd rather build something new than optimize something safe.
• You don't just know about AI from chatbots; you use it daily to work faster, think bigger, and unlock outcomes that wouldn't be possible otherwise. You bring strong opinions on where AI creates real leverage in product and business.
• A business builder. You're not just shipping features, but you're trying to build a commercially successful, category-defining product.
• Relentlessly focused on what matters. You cut through noise, prioritize ruthlessly, and measure your success by outcomes, not output.

What You’ll Need to Be Successful 

• 7–10+ years of product management experience in F2P mobile games, with meaningful exposure to live operations and revenue-driving systems.
• Proven experience contributing to or scaling a live game with measurable commercial performance; direct KPI ownership strongly preferred.
• Deep expertise in game economy design, monetization modeling, and the interplay between economic systems and player behavior.
• Proven ability to design, run, and interpret A/B tests during soft launch or live scaling phases.
• Strong analytical fluency, comfortable with data tools (SQL, Excel, Looker, or similar), and partnering closely with analytics teams.
• Experience operating in fast-paced, high-autonomy environments where you owned outcomes, not just tasks.
• Ability to influence across disciplines and bring alignment in cross-functional, remote-first teams.
• A clear trajectory toward product leadership. This role starts IC, with a path to people management as we grow.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

Responsibilities:

• Work with the product manager to define and detail the product requirements
• Define software architecture and design matching the requirements
• Write and push high-quality code efficiently for both the frontend and backend
• Apply synchronous and asynchronous design patterns
• Scale distributed applications
• Identify and leverage opportunities to improve general engineering productivity
• Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7

Qualifications We Value:

Responsibilities:

• Work with the product manager to define and detail the product requirements
• Define software architecture and design matching the requirements
• Write and push high-quality code efficiently for both the frontend and backend
• Apply synchronous and asynchronous design patterns
• Scale distributed applications
• Identify and leverage opportunities to improve general engineering productivity
• Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7

Qualifications We Value:

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.