We are looking for a senior architectural leader — experienced enough to design enterprise-grade systems, but hands-on enough to turn architecture into reality.

This role requires active technical contribution.
We expect you to define core technical foundations and contribute directly to implementation when needed.

This is not a pure AI research role.
This is not a generic solution architect role.

It is a hybrid position for someone who:
– Has a strong backend and distributed systems foundation
– Understands full-stack systems and enterprise integration
– Has delivered AI solutions into production
– Thinks in scalable platforms, not isolated prototypes
– Moves confidently between whiteboard architecture, implementation decisions and executive discussions
– AI is central — but architectural depth, scalability, integration maturity and production readiness are equally critical.

Your Mission
Design and lead enterprise-grade solutions that combine solid engineering foundations with advanced AI capabilities.

You will:
– Architect scalable, resilient and maintainable backend and distributed systems
– Design AI-enabled solutions, including RAG and agentic architectures
– Embed AI into real enterprise platforms — not standalone experiments
– Ensure production readiness: security, observability, governance, performance and cost control
– Define reusable solution patterns and accelerators
– Support strategic proposals and complex client engagements
– Identify and shape AI-driven opportunities that can be transformed into scalable, revenue-generating solutions
– Your mission is to bridge strong engineering principles with advanced AI — transforming innovation into reliable, industrialised services.

What We Are Looking For
– 7+ years in software architecture or enterprise systems
– Strong backend engineering and distributed systems experience
– Experience designing scalable enterprise platforms
– Proven delivery of AI solutions into production
– Hands-on experience with RAG pipelines and AI orchestration patterns
– Solid understanding of cloud-native architectures
– Familiarity with Docker, Kubernetes and CI/CD
– Awareness of security, compliance and GDPR/PII considerations
– Confidence engaging with senior stakeholders and enterprise clients

Mindset & Soft Skills
– Strong commercial awareness and ability to support technical pre-sales engagements
– Clear and structured communicator with executive presence
– Comfortable engaging with enterprise stakeholders
– Ability to influence and guide multidisciplinary teams
– Ownership mindset — from architecture to production
– Pragmatic thinker who balances innovation with business reality
– Builder mentality — capable of structuring without over-bureaucratising

What You Will Get
– High architectural ownership and influence
– Direct exposure to executive leadership
– Opportunity to shape and scale enterprise AI capability
– Real production impact — not experimental labs
– Long-term growth within a 25-year established technology company

We are looking for an experienced Linux System Administrator to join our infrastructure team. In this role, you will be responsible for maintaining and enhancing the stability, security, and performance of our critical Linux-based systems and of clients systems, ensuring the continuous and efficient operation.

Key Responsibilities:
– Manage, maintain, and monitor Linux servers and applications, including system deployment & updates, patching, and configuration management.
– Perform regular system and security audits, vulnerability assessments, and recommend appropriate mitigation strategies.
– Proactively identify and resolve system performance issues, ensuring high availability and minimal downtime.
– Provide technical support and guidance to users and other IT staff, including troubleshooting and resolving complex issues.
– Document system configurations, processes, and procedures to maintain accurate records and facilitate knowledge sharing.

Qualifications:
– A minimum of 3 years of experience as a Linux System Administrator, preferably in high-demand or sensitive data environments (e.g., the industrial).
– Strong knowledge of Linux operating systems (e.g., OEL, RHEL, CentOS), including LVM.
– Experience with virtualization technologies (e.g., VMware) and containerization platforms (e.g., Docker, Kubernetes, OpenShift).
– Familiarity with network protocols, firewalls, and load balancing solutions.
– Knowledge of storage solutions, such as SAN and NAS.
– Proficiency in scripting languages (e.g., Bash, Python, or Perl) for automation (e.g., Ansible) and process improvement.
– Experience with configuration management tools and version control systems (e.g., Git).
– Understanding of ITIL principles and experience working within ITIL-based environments.
– Excellent problem-solving, analytical, and communication skills.
– Ability to work independently and as part of a team in a fast-paced, dynamic environment.
– Relevant certifications (e.g., RHCSA/RHCE) are a plus.

We are looking for an experienced and highly skilled Oracle Senior Database Administrator (DBA) to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust database environments, ensuring the stability, performance, and security of mission-critical systems.
You will collaborate closely with cross-functional teams to optimise infrastructure, support application deployment, and contribute to the continuous improvement of database operations both on-premises and in the cloud. This is an excellent opportunity for a technically driven professional who wants to work on challenging projects and drive impactful solutions.

Key Responsibilities
– Administer, configure, and optimise Oracle Database environments, ensuring high availability, disaster recovery, and data integrity.
– Perform database design, tuning, patching, and upgrades to maintain optimal performance and reliability.
– Support SQL performance optimisation and troubleshooting for complex queries and stored procedures.
– Collaborate with infrastructure and application teams to design and implement scalable and secure database architectures.
– Manage Linux-based environments, performing automation and monitoring of database-related processes.
– Work with cloud and on-premises infrastructures, ensuring seamless integration and performance across hybrid environments.
– Apply best practices for backup, recovery, and security management of production databases.
– Leverage Agile methodologies (Scrum, Kanban) to ensure efficient project delivery and continuous improvement.
– Contribute to documentation, knowledge sharing, and mentoring of junior team members.

We are seeking an experienced engineer who sits at the intersection of machine learning, data engineering, and cloud-native infrastructure. The ideal candidate has a proven track record of designing, deploying, and scaling ML systems in production using Kubernetes and microservices, and can work self-sufficiently with limited oversight. This is a highly collaborative role: while you will have autonomy in day-to-day execution, you will meet regularly with the management team to align on priorities, define success for upcoming deliverables, and shape technical strategy.

Key Responsibilities:
-Architect, build, and maintain scalable ML pipelines and data workflows using Kubernetes-based microservices;
-Deploy, monitor, and optimize ML inference services for reliability, cost efficiency, and low latency;
-Collaborate with data scientists and ML researchers to productionize and optimize models for performance and scale;
-Design and implement data ingestion, transformation, and storage solutions to support training and inference workloads;
-Own end-to-end system performance: profiling, debugging, and implementing optimizations;
-Contribute to long-term infrastructure strategy, ensuring our platform is robust, modular, and future-proof;
-Work independently while providing clear communication, updates, and progress tracking to management.

Profile and Requirements:
-4-8 years of professional experience spanning software engineering, data engineering, and ML engineering;
-Deep expertise in Kubernetes, Docker, and microservices architectures;
-Strong background in data engineering: pipelines, distributed data systems, ETL, and storage technologies (SQL/NoSQL, data lakes, etc.);
-Hands-on experience with ML model deployment (e.g., TensorFlow Serving, TorchServe,Triton Inference Server, custom APIs);
-Proven ability to optimize ML models (quantization, pruning, batching, caching strategies);
-Proficiency with Python as a primary language;
-Excellent communication skills, with ability to work self-directed and translate high-level objectives into actionable plans.

Nice to Have:
-Experience with GPU/accelerator-based inference optimization;
-Familiarity with vector databases, embeddings, and large-scale search systems;
-Knowledge of streaming data platforms (Kafka, Pulsar, etc.);
-Ability to work in JavaScript/TypeScript for API or front-end integrations;
-Prior experience in a startup or fast-moving environment.

We are looking for an experienced Integration Consultant to provide technical leadership and mentorship to consultants, shaping solutions that deliver business value across industries. This is a key technical leadership role, blending hands-on expertise with the ability to define architectures, mentor teams, and contribute to our strategic growth.
You will drive the design and implementation of integration architectures and best practices, working with a variety of platforms, protocols, and tools.

Key Responsibilities
– Define and implement enterprise integration architectures for diverse client environments.
– Lead the design of integration solutions using a variety of platforms and technologies (API-led, event-driven, messaging, ETL, ESB).
– Provide technical leadership and mentorship to consultants in the practice.
– Collaborate closely with delivery teams and customers, ensuring high-quality, scalable, and secure integration solutions.
– Work with stakeholders to define requirements and translate them into architectural designs.
– Support pre-sales activities as a subject matter expert on integration topics.

Profile and Requirements:
– Solid experience as an Integration Consultant or Architect (5+ years), ideally with exposure to multiple industries;
– Proven leadership capability – experience leading teams is a strong plus;
– Deep knowledge of enterprise integration patterns and best practices, including:
– API-led connectivity (REST, GraphQL, gRPC);
– Event-driven architectures (pub/sub, event sourcing);
– Messaging patterns (point-to-point, publish/subscribe, guaranteed delivery);
– Data transformation and orchestration;
– Service orchestration and choreography;
– Synchronous and asynchronous communication models;
– Strong experience with integration technologies and platforms, such as:
-MuleSoft ;
– WSO2;
– Oracle SOA Suite / Oracle Integration Cloud (OIC);
– Software AG WebMethods;
– Microsoft integration stack (e.g., Azure Integration Services);
– Strong understanding of data modeling and databases (SQL and NoSQL):
– Good grasp of cloud integration platforms and iPaaS solutions (e.g., Azure Logic Apps, AWS, AppFlow, Oracle Integration Cloud);
– Familiarity with microservices architectures and DevOps practices (e.g., CI/CD pipelines for integration solutions);
– Solid background in at least one mainstream programming language (e.g., Java, .NET, C#);
– Certifications are a plus.

As a DevOps Engineer, you will be responsible for developing and maintaining automated processes for application deployment, infrastructure provisioning, and system monitoring. The role requires strong expertise in cloud platforms, CI/CD pipelines, infrastructure-as-code (IaC), and collaboration with developers to enhance productivity, security, and scalability. The focus is on optimizing Cloud & DevOps practices within Optimizer’s existing framework, supporting ongoing projects, and ensuring operational efficiency.

Key Responsibilities:
-Develop and maintain scalable infrastructure using Infrastructure-as-Code (IaC) tools (e.g., Terraform, Ansible).
-Automate provisioning, monitoring, and maintenance of cloud and on-premises environments.
-Implement and manage container orchestration systems (e.g., Kubernetes, Docker).
-Ensure alignment with Optimizer’s Cloud & DevOps standards.
-Design, implement, and maintain CI/CD pipelines to streamline code integration and deployment.
-Ensure high availability and resilience of build and deployment processes.
-Continuously improve deployment processes to increase efficiency and reduce downtime.
-Collaborate with developers to enhance continuous integration and continuous deployment practices.
-Implement security best practices in the CI/CD process and cloud infrastructure.
-Monitor for vulnerabilities and ensure compliance with internal and external standards (e.g., GDPR, NIS2).
-Contribute to the development of automated security policies and procedures.
-Deploy and manage monitoring, logging, and alerting systems to ensure system reliability.
-Troubleshoot issues and respond to incidents to maintain high system availability.
-Conduct root cause analysis and develop strategies for continuous improvement.
-Collaborate with developers, architects, and QA teams to ensure seamless integration and delivery.
-Maintain comprehensive documentation of infrastructure, processes, and standards.
-Provide technical guidance to junior team members.

Profile and Requirements:
-2-4 years of experience in DevOps or similar roles.
-Experience in enterprise-grade cloud environments.
-Knowledge of security best practices and compliance standards (GDPR, NIS2).
-Proficiency in cloud platforms (AWS, Azure, GCP).
-Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
-Strong knowledge of Linux systems and scripting (Bash, Python).
-Familiarity with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation).
-Understanding of networking concepts (DNS, VPN, Load Balancing).
-Knowledge of containerization and orchestration (Docker, Kubernetes).
-Experience with monitoring tools (Prometheus, ELK Stack, Grafana).
-Collaboration and communication skills.
-Strong problem-solving and troubleshooting skills.
-Familiarity with Agile methodologies and DevOps principles.

We are looking for someone with strong backend development experience, proficient in Rust, capable of building high-performance systems and scalable APIs. We value the ability to collaborate within cross-functional teams, contribute to architectural decisions, and ensure quality through engineering best practices. We’re seeking someone who combines technical expertise with a collaborative mindset and a focus on excellence.

– Professional experience (2–4 years) in software development, including 2–3 years working extensively with Rust;
– Deep understanding of Rust concepts: ownership, lifetimes, borrowing, and concurrency;
– Experience with Rust crates like Tokio, Actix, Serde, Diesel, or Rocket;
– Strong background in systems programming, networked services or backend services;
– Knowledge of software design patterns, clean code principles and automated testing;
– Familiarity with Git, CI/CD practices and modern development workflows;
– Strong debugging and performance profiling skills;
– Excellent communication skills and ability to work effectively in a team;
– Fluency in English is required;
– A degree in Computer Science, Software Engineering or related area is preferred.