Cloud computing platforms and infrastructure: Experience with cloud computing concepts, infrastructure, deployment models, scalability, availability, and operational considerations.
Database management systems and data structures: Knowledge of database concepts, data structures, data management, and system integration.
Technology roadmaps: Experience developing or maintaining technology roadmaps that align with business strategy.
Version and platform considerations: Ability to work with the software, cloud, database, AI, and project-management tool versions used by the assigned Synechron project and assess compatibility or upgrade requirements.
Preferred Software Skills
Experience with AI, machine learning, data-processing, or intelligent automation solutions using Python.
Familiarity with cloud-based AI and data services.
Experience with application programming interfaces, microservices, distributed systems, or event-driven architectures.
Familiarity with software development lifecycle, continuous integration, continuous delivery, testing, monitoring, and deployment tools.
Experience with technology portfolio, vendor-management, contract-management, or procurement tools.
Exposure to tools supporting data governance, model governance, security, auditability, and responsible AI practices.
Equivalent technologies and tools may be considered where they provide comparable capabilities.
Overall Responsibilities
Lead and manage cross-functional technology teams involved in software development and technology initiatives.
Provide technical guidance, mentoring, and delivery support to team members.
Drive technology initiatives and ensure successful delivery of projects within agreed scope, quality, timeline, and resource expectations.
Collaborate with internal stakeholders to understand business requirements and translate them into practical technology solutions.
Apply software architecture principles and design patterns when evaluating or designing solutions.
Support the development, enhancement, and maintenance of Python-based and AI-related technology solutions where applicable.
Identify areas for improvement and implement process changes that increase delivery efficiency, quality, reliability, and transparency.
Evaluate new technologies and make recommendations for adoption based on business value, technical suitability, security, sustainability, cost, and operational impact.
Develop and maintain technology roadmaps and ensure alignment with overall business strategy.
Work with project and delivery teams to track progress, manage dependencies, identify risks, and support timely decisions.
Manage vendor relationships and negotiate contracts in accordance with organizational requirements and agreed governance processes.
Monitor technology trends, platform capabilities, development practices, and emerging AI opportunities relevant to business needs.
Promote maintainable, scalable, secure, and efficient technology solutions.
Consider sustainability by supporting efficient use of computing resources, reducing unnecessary processing, encouraging reusable components, and evaluating the long-term operational impact of technology decisions.
Measure outcomes through delivery performance, solution quality, stakeholder satisfaction, operational stability, efficiency improvements, and progress against roadmap objectives.
Technical Skills (By Category)
Programming Languages
Essential
Experience with software development and programming concepts.
Working experience with Python is required for the Python AI Developer role.
Ability to interpret technical requirements and contribute to solution design and implementation.
Understanding of data structures, algorithms, modular design, testing, and maintainable code practices.
Preferred
Experience developing Python-based AI, machine learning, data-processing, or automation solutions.
Familiarity with additional programming languages used in software development or platform integration.
Experience with scripting for automation, deployment, monitoring, or operational support.
Databases/Data Management
Essential
Knowledge of database management systems and data structures.
Understanding of data storage, retrieval, validation, integration, and access considerations.
Ability to assess how data requirements affect software architecture and technology solutions.
Experience collaborating with technical teams on data-related requirements.
Preferred
Experience with relational or non-relational database systems.
Familiarity with data lakes, data platforms, data pipelines, metadata, data quality, or data governance.
Experience supporting AI or analytical solutions that use structured or unstructured data.
Cloud Technologies
Essential
Experience with cloud computing platforms and infrastructure.
Understanding of cloud deployment models, compute, storage, networking, scalability, availability, security, and monitoring.
Ability to evaluate cloud-related technical options and their impact on cost, performance, reliability, and delivery.
Experience collaborating with cloud or infrastructure teams to support technology initiatives.
Preferred
Experience developing or deploying Python, AI, or data solutions in cloud environments.
Familiarity with cloud-native architectures, containers, managed services, automation, and infrastructure configuration.
Experience evaluating cloud resource efficiency and sustainable technology practices.
Frameworks and Libraries
Essential
Understanding of software architecture, application components, integration patterns, and design principles.
Ability to evaluate frameworks, libraries, platforms, and technical dependencies based on solution requirements.
Experience working with software systems and technologies across more than one development or delivery area.
Preferred
Experience with Python frameworks and libraries used for web applications, APIs, data processing, AI, or machine learning.
Familiarity with application programming interfaces, microservices, distributed systems, or event-driven architectures.
Experience assessing AI frameworks, reusable components, model integration, or intelligent automation technologies.
Development Tools and Methodologies
Essential
Knowledge of Agile development methodologies.
Familiarity with project management tools and delivery-management practices.
Experience leading or supporting software development projects and cross-functional technology teams.
Understanding of software development lifecycle activities, delivery planning, risk management, issue resolution, and progress reporting.
Experience developing and maintaining technology roadmaps.
Preferred
Experience with continuous integration, continuous delivery, automated testing, code quality, monitoring, and release-management tools.
Familiarity with Agile frameworks, iterative planning, estimation, backlog management, and delivery metrics.
Experience with technology governance, architecture review, portfolio planning, or process-improvement initiatives.
Security Protocols
Essential
Understanding of secure software development, access control, authentication, authorization, data protection, and infrastructure security.
Ability to consider security, privacy, compliance, and operational risks when evaluating technology solutions.
Awareness of responsible handling of data and technology assets, particularly in AI or cloud-based environments.
Preferred
Experience with secure cloud architecture, encryption, secrets management, auditability, vulnerability management, or security testing.
Familiarity with AI security, model governance, data privacy, explainability, bias considerations, or responsible AI controls.
Experience coordinating security requirements with technical, risk, compliance, or governance teams.
Experience Requirements
5–10 years of experience in technology leadership, software development, technology delivery, solution engineering, or related roles.
Experience leading cross-functional technology teams and managing software development or technology projects.
Strong technical expertise across multiple areas of software development and technology.
Experience translating business requirements into technical solutions and communicating solution options to stakeholders.
Experience with cloud computing platforms and infrastructure.
Experience with Agile development methodologies and project management tools.
Experience evaluating technologies, preparing recommendations, and supporting technology adoption decisions.
Experience developing or maintaining technology roadmaps aligned with business strategy.
Experience managing vendor relationships and participating in contract negotiation or vendor governance activities.
Experience with Python and AI-related development is preferred and relevant to the position title.
Industry experience in technology-focused, software development, cloud, data, AI, or enterprise solution environments is preferred.
Candidates may also qualify through equivalent combinations of software development, technical architecture, engineering leadership, program delivery, cloud engineering, AI development, or technology management experience that demonstrate the required outcomes.
Day-to-Day Activities
Collaborate with internal stakeholders to understand business requirements, clarify priorities, and translate needs into technology solutions and delivery plans.
Lead cross-functional technology teams, provide technical guidance, review progress, resolve dependencies, and support team members through mentoring and knowledge sharing.
Evaluate new technologies, maintain technology roadmaps, prepare adoption recommendations, and manage project deliverables, risks, vendors, and stakeholder updates.
Make technical and delivery decisions within the agreed scope, balancing business value, security, sustainability, cost, quality, and operational impact; escalate material risks when required.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field; equivalent relevant professional experience may be considered.
A minimum of 8–10 years of experience in technology leadership and software development is stated as the preferred qualification pathway; candidates with 5–10 years of relevant experience may be considered based on demonstrated capabilities.
Certification in cloud computing, Agile delivery, project management, software architecture, AI, or a related discipline is preferred but not mandatory.
Relevant training in technology leadership, software architecture, cloud infrastructure, Agile methodologies, project management, AI, security, or vendor management is preferred.
Commitment to continuous professional development through technical learning, leadership development, industry awareness, knowledge sharing, and evaluation of emerging technologies.
Professional Competencies
Apply analytical reasoning and structured problem-solving to evaluate complex technology challenges, identify root causes, and recommend practical solutions.
Lead cross-functional teams by providing clear technical direction, supporting collaboration, mentoring team members, and promoting shared delivery accountability.
Communicate business requirements, technical options, risks, roadmaps, recommendations, and delivery information clearly to stakeholders at different levels.
Adapt to changing business priorities, technology developments, delivery conditions, organizational needs, and emerging AI or cloud capabilities.
Evaluate innovation opportunities based on measurable business value, technical feasibility, security, sustainability, maintainability, and responsible technology use.
Manage competing priorities, project dependencies, stakeholder expectations, vendor activities, and delivery commitments using appropriate planning and prioritization practices.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
