Software Mind

Recruitment

• Partner with hiring managers to understand their hiring needs and develop tailored recruitment strategies;
• Source candidates through various channels, including online job boards, social media, professional networks, and direct outreach;
• Conduct thorough candidate screenings and interviews to assess skills, experience, and cultural fit;
• Manage the end-to-end recruitment process, including job postings, candidate communication, interview scheduling, and offer negotiations;
• Build and maintain a pipeline of qualified candidates for current and future hiring needs;
• Provide regular updates and reports on recruitment activities and progress to hiring managers and senior leadership;
• Ensure a positive candidate experience by maintaining clear and timely communication throughout the recruitment process;
• Stay up-to-date with industry trends and best practices in talent acquisition.

IT Recruitment Specialist

Full-stack Engineer

• Join our Cloud & AI practice to act as a primary technical consultant and architect for key international clients.
• Lead AI initiatives from the initial workshop phase up to technical implementation.
• Tackle complex R&D challenges ensuring scalable AI solutions are delivered.
• Lead technical workshops with clients to define AI success criteria and determine implementation.
• Act as the hands-on technical lead for Cloud and AI projects, overseeing the lifecycle from concept to deployment.
• Collaborate with sales and product teams to ensure AI proposals deliver genuine business value.
• Solve tricky R&D challenges, defining custom AI/ML solutions in ambiguous environments.
• Architect scalable AI solutions using Cloud-native services and open-source frameworks.
• Lead engineers and interns, fostering their growth in AI and Cloud technologies.

AI Technical Lead

SDET

• Support the release and delivery process by collaborating with the QA and Development team
• Participate in design and development reviews by providing feedback to product development teams
• Test (manual and automated), debug, and analyze issues for projects throughout the entire process
• Develop test specifications or test cases for user stories
• Schedule demos, UAT sessions, and QA-related meetings
• Execute test cases based on business requirements

Quality Assurance Engineer – SDET

• Lead the design and development of scalable, high-performance on-premises and Cloud software systems.
• Define the overall structure of systems, set technical standards, and guide engineering teams to implement best practices.
• Ensure seamless integration of applications and data systems.
• Develop architectural documentation, diagrams, and technical specifications for application frameworks and data platforms.
• Provide expert-level guidance on Azure services, including App Services, Azure Functions, Azure SQL, Cosmos DB, Azure Data Factory, Synapse Analytics, and Azure Storage.
• Define and enforce architecture standards, best practices, and governance models across projects.
• Collaborate with business stakeholders to align architecture with strategic objectives and ensure systems support scalability, compliance, and maintainability.
• Evaluate emerging technologies and tools for potential adoption to improve performance, scalability, or cost effectiveness.
• Provide technical leadership and mentorship to software developers and engineers

Software Architect

Data Engineer

• Lead the design and architecture of complex data systems, ensuring alignment with business objectives, but moreover, industry best practices.
• Collaborate with cross-functional teams, defining data requirements, developing data models, and establishing data governance frameworks.
• Evaluate and implement new data technologies and tools to enhance data processing capabilities and optimize performance.
• Provide technical leadership and mentorship to junior data engineers and architects, fostering a culture of collaboration and continuous improvement.
• Conduct thorough data analysis and profiling to identify trends, patterns, and opportunities for optimization.
• Ensure data governance, security, and compliance with relevant regulations, implementing best practices in data management and protection.
• Develop and enforce data quality standards across systems and data pipelines.
• Ensure seamless data flow between systems and applications while ensuring scalability and performance.
• Establish data quality standards and monitor compliance across various data sources.

Data Architect

Backend Engineer

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