Python Developer Jobs - muscat Oman

<p>The Software Engineer is responsible for designing, developing, testing, implementing, and supporting secure, reliable, and scalable software solutions that support the Bank's digital services and business operations.He/She develops high-quality software applications, contributes to the delivery of technology initiatives, supports production systems, and collaborates with cross-functional teams to ensure solutions meet business, technical, security, and operational requirements.The Software Engineer contributes to engineering excellence by following established software development standards, embracing continuous learning, and supporting the delivery of innovative technology solutions that enhance the Bank's digital transformation journey.</p><p><strong>Key Accountabilities:</strong></p><ul><li>Develops, tests, implements, and maintains software applications and technology solutions in accordance with business requirements, architectural standards, and development best practices.</li><li>Delivers assigned software development activities within agreed timelines while proactively identifying, communicating, and mitigating delivery risks and technical issues.</li><li>Produces technical documentation, solution designs, and implementation documentation to support software development, maintenance, and knowledge sharing.</li><li>Develops secure, scalable, maintainable, and reusable application components that comply with the Bank's software engineering standards and coding practices.</li><li>Performs unit testing, integration testing, debugging, defect resolution, and code optimization to ensure software quality and application reliability.</li><li>Participates in code reviews, technical discussions, and peer collaboration to improve software quality, knowledge sharing, and engineering consistency.</li><li>Supports application deployment, production releases, monitoring, and post-implementation activities to ensure stable and reliable production environments.</li><li>Monitors application performance, system logs, operational alerts, and production incidents, supporting timely issue resolution and continuous service improvement.</li><li>Collaborates with business users, quality assurance teams, solution architects, infrastructure teams, and other technology functions to deliver integrated technology solutions.</li><li>Develops and supports application programming interfaces (APIs), system integrations, and modern software services that enable efficient business processes and digital capabilities.</li><li>Applies secure software development practices by adhering to information security standards, data protection requirements, secure coding principles, and vulnerability management practices.</li><li>Contributes to the development and support of Artificial Intelligence-enabled features, automation capabilities, and intelligent digital solutions in accordance with established governance and engineering standards.</li><li>Maintains accurate technical documentation, operational procedures, and software artefacts to support application lifecycle management and operational continuity.</li><li>Continuously enhances technical knowledge, adopts emerging technologies, and contributes to improving software engineering practices, development processes, and team capabilities.</li><li>Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks.</li><li>Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered.</li><li>Minimum of 4 years of professional software development experience, including experience supporting or developing production applications.</li><li>Experience developing software applications using one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies.</li><li>Experience developing and consuming RESTful APIs, system integrations, and modern software applications.</li><li>Working knowledge of software development lifecycle (SDLC), version control systems, automated testing, and code review practices.</li><li>Experience working with relational databases, SQL, application debugging, and software troubleshooting techniques.</li><li>Familiarity with CI/CD pipelines, containerization technologies, cloud platforms, or managed application environments is preferred.</li><li>Knowledge of secure software development practices, application security principles, and information security standards.</li><li>Exposure to Artificial Intelligence, intelligent automation, or machine learning technologies is considered an advantage.</li><li>Strong analytical, problem-solving, communication, teamwork, and continuous learning skills.</li></ul><p><strong>Applications will be accepted until 16-Aug-2026 at 2:00 P.M Submissions received after this date and time will not be considered</strong></p>

<p>The Software Engineer is responsible for designing, developing, testing, implementing, and supporting secure, reliable, and scalable software solutions that support the Bank's digital services and business operations.He/She develops high-quality software applications, contributes to the delivery of technology initiatives, supports production systems, and collaborates with cross-functional teams to ensure solutions meet business, technical, security, and operational requirements.The Software Engineer contributes to engineering excellence by following established software development standards, embracing continuous learning, and supporting the delivery of innovative technology solutions that enhance the Bank's digital transformation journey.</p><p>Key Accountabilities:</p><ul><li>Develops, tests, implements, and maintains software applications and technology solutions in accordance with business requirements, architectural standards, and development best practices.</li><li>Delivers assigned software development activities within agreed timelines while proactively identifying, communicating, and mitigating delivery risks and technical issues.</li><li>Produces technical documentation, solution designs, and implementation documentation to support software development, maintenance, and knowledge sharing.</li><li>Develops secure, scalable, maintainable, and reusable application components that comply with the Bank's software engineering standards and coding practices.</li><li>Performs unit testing, integration testing, debugging, defect resolution, and code optimization to ensure software quality and application reliability.</li><li>Participates in code reviews, technical discussions, and peer collaboration to improve software quality, knowledge sharing, and engineering consistency.</li><li>Supports application deployment, production releases, monitoring, and post-implementation activities to ensure stable and reliable production environments.</li><li>Monitors application performance, system logs, operational alerts, and production incidents, supporting timely issue resolution and continuous service improvement.</li><li>Collaborates with business users, quality assurance teams, solution architects, infrastructure teams, and other technology functions to deliver integrated technology solutions.</li><li>Develops and supports application programming interfaces (APIs), system integrations, and modern software services that enable efficient business processes and digital capabilities.</li><li>Applies secure software development practices by adhering to information security standards, data protection requirements, secure coding principles, and vulnerability management practices.</li><li>Contributes to the development and support of Artificial Intelligence-enabled features, automation capabilities, and intelligent digital solutions in accordance with established governance and engineering standards.</li><li>Maintains accurate technical documentation, operational procedures, and software artefacts to support application lifecycle management and operational continuity.</li><li>Continuously enhances technical knowledge, adopts emerging technologies, and contributes to improving software engineering practices, development processes, and team capabilities.</li><li>Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks.</li><li>Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered.</li><li>Minimum of 4 years of professional software development experience, including experience supporting or developing production applications.</li><li>Experience developing software applications using one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies.</li><li>Experience developing and consuming RESTful APIs, system integrations, and modern software applications.</li><li>Working knowledge of software development lifecycle (SDLC), version control systems, automated testing, and code review practices.</li><li>Experience working with relational databases, SQL, application debugging, and software troubleshooting techniques.</li><li>Familiarity with CI/CD pipelines, containerization technologies, cloud platforms, or managed application environments is preferred.</li><li>Knowledge of secure software development practices, application security principles, and information security standards.</li><li>Exposure to Artificial Intelligence, intelligent automation, or machine learning technologies is considered an advantage.</li><li>Strong analytical, problem-solving, communication, teamwork, and continuous learning skills.</li></ul><p><br></p>

<p>Job Content </p> <p>The Database Administrator (DBA) role encompasses the administration, management, security, optimization, and continuous operation of OETC's enterprise database environment. It covers all activities related to database planning, implementation, configuration, monitoring, maintenance, backup and recovery, performance optimization, capacity management, security, high availability, disaster recovery, and lifecycle management.</p> <p>The role supports databases used by enterprise applications and business systems, ensuring data integrity, availability, confidentiality, and reliability. It includes database architecture, storage management, database migrations, upgrades, patch management, user access administration, database monitoring, automation, documentation, compliance, and integration with enterprise infrastructure and business applications.</p> <p>The position also covers database technologies, operational standards, technical governance, business continuity, cybersecurity compliance, performance reporting, and the adoption of best practices to maintain a secure, resilient, and scalable database environment that supports OETC's operational and strategic objectives.</p> <p>Area of responsibility</p> <p> Administer, maintain, and support enterprise database environments to ensure high availability, performance, and reliability.</p> <p> Install, configure, upgrade, patch, and maintain database management systems and related software.</p> <p> Monitor database performance and implement tuning and optimization to ensure efficient system operation.</p> <p> Perform database backup, restoration, replication, and disaster recovery activities to safeguard business data.</p> <p> Ensure database availability and integrity through proactive monitoring, preventive maintenance, and health checks.</p> <p> Manage database user accounts, roles, privileges, and access permissions in accordance with information security policies.</p> <p> Implement database security controls, encryption, auditing, and vulnerability remediation to protect organizational data.</p> <p> Create, modify, and maintain database objects, including schemas, tables, indexes, views, stored procedures, and functions.</p> <p> Troubleshoot and resolve database incidents, performance issues, and service disruptions within agreed Service Level Agreements (SLAs).</p> <p> Support business applications by providing database administration, technical support, and performance optimization.</p> <p> Plan and execute database upgrades, migrations, and patch deployments with minimal business disruption.</p> <p> Develop and maintain database standards, operational procedures, technical documentation, and configuration records.</p> <p> Perform database capacity planning and recommend infrastructure enhancements to meet future business requirements.</p> <p> Collaborate with application, infrastructure, network, cybersecurity, and vendor teams to ensure seamless service delivery.</p> <p> Support system implementation projects by providing database design, configuration, and technical expertise.</p> <p> Automate routine database administration tasks to improve operational efficiency and service quality.</p> <p> Monitor database backup jobs, replication status, storage utilization, and system alerts, taking corrective actions when required.</p> <p> Ensure compliance with OETC policies, cybersecurity standards, business continuity requirements, and applicable regulatory and audit requirements.</p> <p> Participate in disaster recovery planning, testing, and recovery exercises to ensure database resilience.</p> <p> Prepare periodic reports on database performance, availability, backup status, capacity utilization, and operational issues.</p> <p> Evaluate new database technologies, tools, and best practices to improve database services and operational efficiency.</p> <p> Provide technical guidance and knowledge sharing to IT teams and support continuous improvement initiatives.</p> <p> Coordinate with software vendors and third-party support providers for issue resolution, upgrades, and maintenance activities.</p> <p> Perform any other database administration duties assigned by the line manager in support of OETC's business objectives.</p> <p>MINIMUM EDUCATION, QUALIFICATIONS &amp; SKILLS</p> <p>Education:</p> <p> Bachelor's degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or a related field.</p> <p>Experience:</p> <p> 3 5 years of experience in Database Administrator</p> <p>Special Skills &amp; Knowledge: </p> <p> Strong knowledge of Oracle Database, Microsoft SQL Server, or other enterprise database management systems.</p> <p> Knowledge of database installation, configuration, administration, backup, recovery, and performance tuning.</p> <p> Understanding of High Availability (HA), Disaster Recovery (DR), replication, and database clustering technologies.</p> <p> Knowledge of SQL, stored procedures, and database scripting.</p> <p> Knowledge of enterprise backup and recovery solutions.</p> <p> Familiarity with database security, user access management, encryption, and auditing.</p> <p> Experience with database monitoring, troubleshooting, and capacity planning.</p> <p> Understanding of Windows Server and Linux operating systems</p> <p> Familiarity with ISO/IEC 27001 requirements and information security controls.</p> <p> Ability to diagnose and resolve DB technical issues in a timely and effective manner.</p> <p> Strong communication, documentation, problem-solving, and analytical skills.</p> <p> Ability to work independently, manage priorities, and support critical business systems.</p> <p> Strong analytical, troubleshooting, and problem-solving skills.</p> <p>ADDITIONAL QUALIFICATION /CERTIFICATION REQUIRED</p> <p> Professional certification (e.g., Microsoft Certified: Azure Database Administrator Associate / Microsoft SQL Server Certification )</p> <p> ITIL 4 Foundation Certification</p> <p>Preferred:</p> <p> Oracle Database Administration Certification </p> <p> Microsoft Certified: Azure Administrator Associate</p> <p> ISO/IEC 27001 Information Security Awareness</p> <p> PowerShell, Shell Scripting, or Python Automation</p> <p> Cloud Database Services</p> <p> </p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis for AI initiatives. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all Al projects.</p><p>Key Responsibilities:</p><ul><li>Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems</li><li>Collaborates with AI developers, data scientists and analysts to optimize models and algorithms for data quality, security, and governance</li><li>Integrates data from different sources, including databases, data warehouses, APIs, and external systems</li><li>Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed</li><li>Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques</li><li>Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency</li><li>Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance</li><li>Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data</li><li>Supports the governance of data and algorithms used for analysis, analytical applications, and automated decision making</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred</li><li>At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks</li><li>Proven project experience developing and maintaining data pipelines for AI projects</li></ul><p>Technical Skills:</p><ul><li>Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines</li><li>Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and Bl</li><li>Strong ability in programming languages such as Java, Python, and C/C++</li><li>Ability in data science languages/tools such as SQL, R, SAS, or Excel</li><li>Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)</li><li>Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata</li><li>Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products</li><li>Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems</li></ul><p>Key Competencies:</p><ul><li>Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.</li><li>Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options</li><li>Ability to translate among the languages used by executive, business, IT, and quant stakeholders.</li></ul><p></p></section>

<p>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p><p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p><p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p><p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p><p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p><p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p><p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p><p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p><p>Key Responsibilities</p><ul><li>Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li><li>Ensure all necessary content and material is in place for the degree programmes in time.</li><li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li><li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li><li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li><li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li><li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li><li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li><li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li><li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li><li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li><li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li><li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li><li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li></ul><p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager. While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. * The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications, Experience &amp; Competencies:</h2><p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p><ul><li><strong>Educational Qualifications:</strong> A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</li><li><strong>Specialization Areas:</strong> Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</li><li><strong>Teaching Experience:</strong> Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</li><li><strong>Research Engagement:</strong> Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</li><li><strong>Industry Experience:</strong> Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</li><li><strong>Practical Skills:</strong> Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</li><li><strong>Professional Development:</strong> Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</li><li><strong>Community Participation:</strong> Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</li></ul><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p>