Discover Boundless Growth Opportunities In Our Progressive IT Work Environment
At SAGOUS, we are committed to assembling a team of talented individuals driven by a passion to make a difference. As part of our small, yet ambitious team, you will have the opportunity to develop yourself and contribute to state-of-the-art IT solutions.
SAGOUS is a leading product- and service-focused company dedicated to revolutionizing IT solutions. We offer advanced services in low-code application development, cybersecurity, data and cloud application services. With high engagement, extensive industry expertise, and a broad network, we aim for the highest customer satisfaction.
Open positions
One Identity Manager
Experience: 8+ Years
As a One Identity Manager, you will:
- Design, implement, and maintain IAM solutions using One Identity products.
- Customize and configure the One Identity data model based on business requirements.
- Build and maintain One Identity connectors and integrations.
- Work with One Identity exposed APIs and their functionalities.
- Implement IAM solutions covering authentication, authorization, and access control.
- Engage with clients for requirements gathering, solution design, implementation, and technical support.
- Apply software engineering, IAM architecture, cloud computing, microservices, containerization, and DevOps practices.
- Ensure IAM solutions follow industry best practices and security standards.
What You Bring to the Table:
- 8+ years of professional experience, with approximately 9 years of experience as a One Identity Manager Engineer.
- Strong understanding of IAM concepts, including authentication, authorization, and access control.
- Deep understanding of One Identity Manager and its data model.
- Hands-on experience with One Identity customization and connector development.
- Experience working with One Identity APIs and integrations.
- Strong knowledge of the One Identity product suite, including Manager, Safeguard, Active Roles, Defender, and Starling 2FA.
- Proficiency in at least one programming language, preferably VB.NET.
- Strong foundation in software engineering and IAM architecture.
You should possess the ability to:
- Translate business and client requirements into effective IAM solutions.
- Design and implement scalable One Identity-based solutions.
- Customize One Identity components and data models according to requirements.
- Develop, configure, and troubleshoot One Identity connectors and APIs.
- Manage end-to-end IAM implementation activities.
- Communicate effectively with clients and technical stakeholders.
- Apply cloud, microservices, containerization, and DevOps concepts to IAM solutions.
- Provide technical support and resolve complex IAM-related issues.
What we bring to the table:
- Opportunities to work on end-to-end IAM and One Identity solutions.
- Exposure to complex identity and access management implementations.
- Opportunities to work across IAM architecture, software engineering, cloud, APIs, integrations, and DevOps.
- A professional environment focused on technical learning and solution development.
Location
United Kingdom
Department
Technology
Job type
Full-time
Generative AI Engineer
Experience: 4+ Years
As a Generative AI Engineer, you will:
- Design, develop, and implement enterprise-grade Generative AI applications using Python and Azure AI technologies.
- Build intelligent AI solutions using Large Language Models (LLMs), Azure OpenAI Service, and Azure AI Services.
- Develop Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge repositories.
- Design and optimize prompt engineering strategies to improve the accuracy, relevance, and performance of AI applications.
- Develop scalable REST APIs and microservices to integrate AI capabilities into enterprise applications and business processes.
- Develop and deploy Machine Learning and Deep Learning models using Azure Machine Learning services.
- Implement Natural Language Processing (NLP) solutions for document processing, conversational AI, semantic search, and intelligent automation.
- Integrate LangChain and LlamaIndex frameworks to orchestrate LLM workflows and knowledge retrieval pipelines.
- Design and manage vector database solutions using FAISS, ChromaDB, Pinecone, or Weaviate.
- Develop and optimize SQL and NoSQL database interactions to support AI applications and data pipelines.
- Implement CI/CD pipelines using Azure DevOps and Git to automate the testing, deployment, and lifecycle management of AI solutions.
- Collaborate with multidisciplinary teams to translate business requirements into scalable, secure, and production-ready AI applications.
- Ensure AI solutions comply with enterprise security, governance, and Responsible AI guidelines.
What you bring to the table:
- 4-6 years of experience in Python development, AI/ML engineering, or cloud-based application development.
- Strong programming skills in Python for developing scalable AI applications.
- Hands-on experience with Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- Experience building Generative AI solutions based on Large Language Models (LLMs).
- Experience with Azure OpenAI Service, Azure AI Services, and Azure Machine Learning.
- Strong knowledge of Prompt Engineering techniques and LLM optimization.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Hands-on experience with LangChain and/or LlamaIndex.
- Experience with vector databases such as FAISS, ChromaDB, Pinecone, or Weaviate.
- Good knowledge of REST APIs, microservices, and enterprise application integration.
- Knowledge of SQL and NoSQL databases.
- Experience implementing Azure DevOps CI/CD pipelines and version control using Git.
- Strong analytical, problem-solving, communication, and troubleshooting skills.
- Excellent command of the English language; knowledge of Dutch is a plus.
You should possess the ability to:
- Design scalable, secure, and production-ready Generative AI solutions.
- Develop and optimize enterprise RAG architectures for knowledge retrieval.
- Develop AI-driven APIs and microservices using Python.
- Integrate Azure AI services into enterprise platforms and business applications.
- Select and optimize vector databases for semantic search and information retrieval.
- Improve LLM performance through prompt engineering and optimization of retrieval processes.
- Automate the deployment of AI applications using Azure DevOps CI/CD pipelines.
- Collaborate effectively with engineering teams, architects, product owners, and business stakeholders.
What we bring to the table:
- The opportunity to work on innovative Generative AI solutions and enterprise AI transformation projects.
- Work with modern Azure AI technologies, LLMs, cloud-native architectures, and intelligent automation.
- A collaborative environment with experienced AI engineers, cloud architects, and data professionals.
- Challenging projects in conversational AI, knowledge assistants, intelligent search solutions, and enterprise automation.
- Opportunities for continuous development, Azure AI certifications, and technical career growth.
- A culture focused on innovation, collaboration, and technical excellence.
Location
United Kingdom
Department
Technology
Job type
Full-time
Senior Cisco SDA Engineer
Experience: 8+ Years
As a Senior Cisco SDA Engineer, you will:
- Design, deploy, and support Cisco Software-Defined Access (SDA) and Intent-Based Networking (IBN) solutions across enterprise environments
- Build and manage multi-site SDA fabric deployments, including Fabric Domains, Control Plane Nodes, Border Nodes, and Edge Nodes
- Lead greenfield implementations and migration projects from traditional campus networks to Cisco SDA Fabric
- Configure and integrate Cisco Identity Services Engine (ISE) for secure authentication, authorization, endpoint profiling, TrustSec, and policy-based access control
- Provide Level 3 support for complex networking issues involving LISP, VXLAN, multicast, endpoint mobility, and SDA fabric services
- Perform root cause analysis (RCA) for critical incidents and implement long-term solutions to improve network reliability
- Develop and implement network automation solutions using Cisco DNA Center (Catalyst Center), Python, REST APIs, and automation tools
- Create High-Level Designs (HLD), Low-Level Designs (LLD), migration plans, and technical documentation
- Collaborate with network architects, security teams, infrastructure engineers, and project stakeholders to deliver scalable networking solutions
- Mentor junior engineers by sharing technical expertise and promoting networking best practices
What You Bring to the Table:
- 8+ years of experience in enterprise networking with strong expertise in Cisco Software-Defined Access (SDA)
- Hands-on experience with Cisco DNA Center (Catalyst Center) for network management, automation, and orchestration
- Strong knowledge of routing and switching protocols including OSPF, IS-IS, BGP, VXLAN, LISP, and EVPN
- Experience with Cisco Catalyst 9000 Series switches and Catalyst 9800 Wireless Controllers
- Strong expertise in Cisco Identity Services Engine (ISE), including Policy Sets, TACACS+, RADIUS, TrustSec, Scalable Group Tags (SGTs), and endpoint profiling
- Experience with network automation using Python, REST APIs, and Cisco DNA Center APIs
- Strong understanding of enterprise networking, wireless technologies, network security, and software-defined networking concepts
- Experience creating technical documentation, architecture designs, migration strategies, and operational procedures
- Active CCNP Enterprise certification is required; additional Cisco certifications are an advantage
- Excellent analytical, troubleshooting, communication, and stakeholder management skills
You Should Possess the Ability To:
- Design and deliver secure, scalable, and highly available Cisco SDA network solutions
- Lead enterprise network transformation and migration initiatives
- Troubleshoot and resolve complex networking challenges across wired, wireless, and SDA environments
- Automate network provisioning, software upgrades, and operational workflows
- Collaborate effectively with cross-functional infrastructure, security, and engineering teams
- Mentor technical teams and drive networking best practices across the organization
- Deliver high-quality solutions while ensuring network performance, security, and business continuity
What We Bring to the Table:
- Opportunity to work on enterprise-scale Cisco Software-Defined Access and Intent-Based Networking projects
- Exposure to advanced Cisco networking, automation, and security technologies
- Collaborative environment with experienced network architects and engineering teams
- Opportunity to contribute to large-scale network modernization and digital transformation initiatives
- Continuous learning opportunities and professional growth within a high-performing engineering team
Location
United Kingdom
Enterprise Kubernetes Architect
Experience: 6+ Years
As an Enterprise Kubernetes Architect, you will:
- Define, govern, and promote enterprise-wide Kubernetes architecture standards and best practices.
- Act as a technical ambassador for the central platform team’s architectural guidelines across multiple business and technology domains.
- Collaborate with system architects, domain architects, platform engineers, and engineering teams to ensure alignment with enterprise container platform strategies.
- Drive the adoption and optimization of Kubernetes platforms across on-premises and Azure cloud environments.
- Review, challenge, and influence architectural decisions to ensure scalability, security, reliability, and operational excellence.
- Design and enhance container orchestration frameworks supporting enterprise-scale applications and services.
- Provide architectural guidance on Kubernetes cluster design, workload management, networking, security, observability, and platform governance.
- Support cloud transformation initiatives by enabling standardized Kubernetes practices across diverse technology landscapes.
- Participate in architecture reviews, platform assessments, roadmap planning, and technology governance activities.
- Advocate DevOps, Agile, cloud-native, and platform engineering principles across development and operations teams.
- Work closely with stakeholders to identify opportunities for platform modernization, automation, and operational efficiency improvements.
What You Bring to the Table:
- 6+ years of overall experience in cloud infrastructure, platform engineering, DevOps, or enterprise architecture roles.
- Extensive hands-on expertise with Kubernetes in large-scale enterprise environments.
- Strong experience designing and supporting Kubernetes platforms across both on-premises and Microsoft Azure cloud environments.
- Deep understanding of containerization technologies, cloud-native architectures, and microservices platforms.
- Experience defining enterprise platform standards, governance frameworks, and architectural best practices.
- Strong knowledge of platform security, scalability, resilience, networking, and operational management.
- Experience working with DevOps methodologies, CI/CD pipelines, Infrastructure as Code, and Agile delivery models.
- Proven ability to influence technical decisions and collaborate with multiple architecture and engineering teams.
- Strong communication, stakeholder management, and technical leadership skills.
You Should Possess the Ability to:
- Design and govern enterprise-scale Kubernetes platforms and cloud-native architectures.
- Influence architectural decisions across multiple teams and organizational domains.
- Translate complex business and technical requirements into scalable platform solutions.
- Drive adoption of standardized engineering and operational practices.
- Evaluate existing environments and recommend modernization and optimization strategies.
- Balance governance requirements with engineering agility and innovation.
- Communicate architectural concepts effectively to technical and non-technical stakeholders.
- Lead technical discussions, architecture reviews, and platform strategy initiatives.
- Work independently while managing multiple stakeholders and competing priorities.
What We Bring to the Table:
- Opportunity to shape and influence enterprise-wide Kubernetes and cloud platform strategy.
- Exposure to large-scale cloud transformation and platform modernization programs.
- A collaborative environment focused on engineering excellence, innovation, and continuous improvement.
- Engagement with senior architects, platform teams, and technology leaders across multiple business domains.
- Opportunities to drive cloud-native adoption and enterprise architecture best practices.
- Challenging technical initiatives involving modern platform engineering, automation, and cloud technologies.
Location
United Kingdom
CyberArk Engineer
Experience: 8+ Years
As a CyberArk Engineer, you will:
- Manage and maintain CyberArk PAS core components, including PVWA, CPM, PSM, and PSMP.
- Perform privileged account onboarding and Safe administration for Windows, Linux, database, application, and service accounts.
- Execute CyberArk version upgrades, patching, and maintenance activities.
- Design and execute DR, failover, and failback activities for CyberArk environments.
- Integrate CyberArk with AD, LDAP, MFA, SAML, and Azure SSO.
- Support PAM design, deployment, operational activities, reporting, and compliance requirements.
- Work with project teams and stakeholders to troubleshoot and resolve CyberArk-related issues.
What You Bring to the Table:
- 8+ years of overall experience, with a minimum of 6 years of relevant CyberArk experience.
- Strong hands-on experience with CyberArk PAS core components.
- Experience in CyberArk upgrades, patching, DR, failover, and high availability.
- Strong knowledge of privileged access management and Safe administration.
- Experience with Oracle, MSSQL, MySQL, and Sybase databases.
- Knowledge of CyberArk AAM and API automation is an added advantage.
- CyberArk Defender certification is preferred.
You should possess the ability to:
- Analyze and resolve complex CyberArk and PAM issues.
- Manage privileged accounts and access securely across enterprise environments.
- Configure and troubleshoot CyberArk integrations with authentication and directory services.
- Execute upgrades, migrations, and DR activities with minimal operational disruption.
- Coordinate effectively with project teams, customers, and stakeholders.
- Communicate clearly and demonstrate strong problem-solving skills.
- Apply security best practices and compliance requirements in PAM environments.
What We Bring to the Table:
- Opportunity to work on enterprise-level CyberArk and Privileged Access Management environments.
- Exposure to complex PAM implementations, integrations, upgrades, and DR activities.
- Opportunities to collaborate with technical teams and stakeholders on cybersecurity initiatives.
- A professional environment focused on security, technology, and continuous learning.
Location
United Kingdom
Full Stack Developer
Experience: 5+ Years
As a Full Stack Developer, you will:
- Design, develop, and maintain scalable web applications using Java and Vue.js.
- Build backend services using Spring Boot and Microservices Architecture.
- Develop responsive front-end applications using JavaScript (ES6+), Vue.js, HTML5, CSS3, and Bootstrap.
- Design, develop, and integrate RESTful APIs.
- Work with SQL databases such as MySQL, PostgreSQL, and Oracle.
- Collaborate with cross-functional Agile teams to deliver high-quality software solutions.
- Participate in application design, testing, debugging, and performance optimization.
- Ensure code quality by following software development best practices.
What You Bring to the Table:
- 6+ years of experience in Full Stack Development.
- Strong hands-on experience with Java (8/11/17+).
- Proficiency in Spring Boot and Microservices Architecture.
- Experience with JavaScript (ES6+) and Vue.js (Vue 2/3).
- Strong knowledge of RESTful API development and integration.
- Experience with HTML5, CSS3, and Bootstrap.
- Good understanding of SQL databases including MySQL, PostgreSQL, and Oracle.
- Familiarity with Agile development methodologies.
- Preferred experience with Docker, Kubernetes, Azure, and CI/CD pipelines.
You should possess the ability to:
- Develop scalable and maintainable full-stack applications.
- Design and implement microservices-based solutions.
- Build responsive and user-friendly interfaces using Vue.js.
- Develop, consume, and integrate RESTful APIs.
- Troubleshoot, debug, and optimize application performance.
- Work effectively in Agile teams.
- Deliver high-quality solutions within project timelines.
- Adapt quickly to new technologies and changing business requirements.
What we bring to the table:
- Opportunity to work on modern full-stack technologies and microservices-based applications.
- Exposure to Agile development practices and collaborative project environments.
- Opportunity to work with cloud and DevOps technologies.
- Continuous learning and professional development opportunities.
- A collaborative and innovation-driven work environment.
Location
United Kingdom
