InnoWave

DevOps Engineer

• Implement and maintain automatic refresh processes for AWS environments and services
• Build and maintain CI/CD pipelines (AWS CodePipeline, GitHub Actions, GitLab CI, Jenkins)
• Develop and maintain automation and self-service templates to support project teams
• Collaborate with team members and stakeholders through workshops, discussions, and technical forums

Cloud DevOps Engineer

Data Engineer

• Analyse business processes, capabilities, and information needs across domains, validate requirements with stakeholders and translate into functional and technical data specifications;
• Act as a primary interface between business stakeholders and technical delivery teams;
• Define business concepts, metrics, and information domains;
• Design and maintain conceptual, logical, and physical data models and data flows ensuring alignment with business processes;
• Design data structures and datasets to support reporting, analytics, and operational use cases;
• Define and maintain business and technical metadata (definitions, lineage, ownership, quality rules);
• Ensure traceability between business requirements, data models, data flows, and delivered solutions;
• Define and enforce data quality rules in collaboration with business and technical teams and analyse data quality issues;
• Maintain version control for requirements, data models, and architectural artefacts;
• Support testing activities, including review of test scenarios, validation of data outcomes, and sign-off;
• Support change impact analysis related to data and process changes;
• Contribute to the definition and continuous improvement of data and information standards.

Data Architect

Full-stack Engineer

• Develop, test, and deploy robust, scalable, and secure software in accordance with the Definition of Done (DoD) and Service Level Objectives (SLOs).
• Collaborate closely with Process Analysts to understand, validate, and challenge business requirements, promoting configurable and reusable technical solutions.
• Create and maintain technical documentation for applications, systems, and procedures; participate in peer code reviews and encourage knowledge sharing and redundancy.
• Diagnose and resolve incidents (Level 2/3) in collaboration with Support and other developers; take part in post-mortem analyses to identify root causes and implement corrective and preventive actions.
• Embrace and promote DevOps, DevSecOps, and SRE practices, emphasizing automation of operations, proactive monitoring (logs, metrics, traces), and reduction of repetitive manual work.
• Contribute to defining and implementing architectural principles, blueprints, and governance models; ensure consistency across technology stacks and prepare the architecture for future needs.
• Propose, research, and experiment with new technologies, tools, and approaches through proofs of concept as part of continuous improvement and innovation.
• Actively contribute to the migration of legacy systems to the new reference architecture.
• Participate actively in Scrum ceremonies.

Fullstack Developer

Solutions Engineer

• Design end-to-end solutions that align with business objectives and leverage modern cloud platforms and integration patterns.
• Develop scalable and secure architectures for CRM, sales, and service systems in telecommunications.
• Lead solution workshops with stakeholders to gather requirements and translate them into technical designs.
• Oversee the integration of diverse systems, including CRM, billing, service platforms, and cloud ecosystems.
• Collaborate with cross-functional teams, including developers, business analysts, and project managers, to ensure successful implementation.
• Ensure solutions meet performance, scalability, and security requirements while adhering to industry best practices.
• Provide technical guidance and mentorship to the development team.

Solution Architect

AI Engineer

• Designing and leading the implementation of scalable, secure, and production-ready Artificial Intelligence solutions.
• Ensuring AI systems are aligned with enterprise architecture, data strategy, and operational requirements.
• Defining AI solution architectures and selecting appropriate technologies.
• Providing technical leadership across AI/ML initiatives.
• Establishing AI engineering standards and best practices.
• Leading architecture reviews and design authority discussions.

AI Architect

Backend Engineer

• Build robust, performant and high scalable, flexible solutions
• Participate in the technical design of the solution based on business requirements gathered and analyzed by analysts
• Participate in the project estimations
• Develop qualitative web-solutions related to Web solutions using Agile (SCRUM), test driven methodologies
• Ensure high code quality (unit and regression testing) delivered in time and within budget
• Document the delivered solution
• Perform development testing
• Participate in the implementation of the releases following the change & management processes
• Support to the operation team in major incidents for which engineering knowledge is required
• Provide solutions (bug fixes) for problem solving

Cloud DevOps Engineer

Data Architect

Fullstack Developer

Solution Architect

AI Architect

.Net Developer