Job Summary

Synechron is seeking a Devin & GenAI Technology Leader to lead cross-functional technology teams, guide software development initiatives, and support the adoption of emerging technologies, including generative AI.

The role will focus on translating business requirements into technology solutions, evaluating new technologies, developing technology roadmaps, improving delivery processes, and ensuring successful project execution. The position will also provide technical guidance, mentorship, stakeholder management, and vendor coordination.

This role will contribute to business objectives by aligning technology initiatives with business strategy, improving delivery efficiency, supporting innovation, strengthening engineering practices, and enabling scalable, secure, and maintainable technology solutions.

Software Requirements

Required Software Skills

• In-depth understanding of software systems, technology platforms, and modern development practices.
• Knowledge of software architecture, design principles, and design patterns.
• Knowledge of cloud computing platforms and infrastructure.
• Knowledge of database management systems and data structures.
• Familiarity with project management tools and delivery methodologies.
• Knowledge of Agile development methodologies.
• Experience leading cross-functional technology teams.
• Experience managing software development projects and technology initiatives.
• Ability to evaluate new technologies and provide evidence-based adoption recommendations.
• Ability to develop and maintain technology roadmaps aligned with business strategy.
• Familiarity with vendor management, contract negotiation, and technology procurement processes.

Preferred Software Skills

• Experience with generative AI, AI-assisted software development, or related emerging technologies.
• Familiarity with tools used to support AI-enabled development and technology delivery.
• Experience with cloud-native platforms, infrastructure services, and enterprise application environments.
• Familiarity with software delivery, collaboration, documentation, reporting, and project-management tools.
• Exposure to technology governance, architecture review, security assessment, and operational planning tools.

Version and Experience Guidance

• Specific software versions are not mandated in the requirements.
• Candidates should have experience with current, production-supported technologies, cloud platforms, project-management tools, and software-development practices.
• Candidates should be able to assess technology compatibility, manage platform changes, support adoption decisions, and maintain technology roadmaps.
• Experience should include practical leadership of software-development or technology-delivery initiatives.

Overall Responsibilities

• Lead and manage cross-functional technology teams.
• Provide technical guidance, mentorship, and direction to team members.
• Drive technology initiatives and ensure successful delivery of projects.
• Translate business requirements into practical, scalable, secure, and maintainable technology solutions.
• Collaborate with internal stakeholders to understand business objectives, delivery priorities, risks, and dependencies.
• Define and maintain technology roadmaps aligned with overall business strategy.
• Evaluate new technologies, including emerging AI and GenAI capabilities, and make recommendations for adoption.
• Identify areas for improvement and implement process changes to increase delivery efficiency and technical quality.
• Guide teams in applying sound software architecture, design patterns, Agile practices, and engineering standards.
• Support project planning, delivery tracking, risk management, quality oversight, and stakeholder communication.
• Manage vendor relationships and participate in contract negotiation and performance reviews.
• Establish clear expectations for delivery, documentation, security, maintainability, and operational readiness.
• Support continuous improvement through knowledge sharing, mentoring, process standardization, and technology evaluation.
• Contribute to measurable outcomes, including improved delivery predictability, reduced technical risk, efficient resource use, better engineering quality, and successful adoption of suitable technologies.
• Consider sustainability through efficient use of cloud resources, responsible technology adoption, process automation, and reduction of unnecessary operational effort.

Technical Skills (By Category)

Programming Languages

Essential

• Strong understanding of software-development concepts and engineering practices.
• Ability to review technical solutions, architecture decisions, development approaches, and implementation risks.
• Ability to communicate effectively with software engineers and technical specialists across different technology areas.
• Understanding of code quality, maintainability, testing, version control, and software lifecycle practices.

Preferred

• Experience with one or more production programming languages.
• Exposure to programming languages and frameworks used in AI, GenAI, cloud, data, or enterprise application development.
• Familiarity with AI-assisted development and emerging software-engineering tools.

Databases/Data Management

Essential

• Knowledge of database management systems and data structures.
• Understanding of structured and unstructured data concepts.
• Ability to evaluate data-management considerations during solution design and technology planning.
• Understanding of data quality, access control, protection, retention, and governance requirements.

Preferred

• Experience with relational, NoSQL, cloud, or distributed database technologies.
• Familiarity with data platforms that support analytics, AI, and enterprise applications.
• Exposure to data architecture, data integration, data governance, and information lifecycle management.

Cloud Technologies

Essential

• Experience with cloud computing platforms and infrastructure.
• Understanding of cloud architecture, scalability, availability, security, identity, networking, storage, and operational support.
• Ability to evaluate cloud technology options against business, technical, security, delivery, and cost requirements.
• Understanding of cloud resource management and sustainable technology operations.

Preferred

• Experience with cloud-native application development and deployment.
• Familiarity with cloud-based AI, GenAI, data, and developer platforms.
• Exposure to containers, serverless services, infrastructure as code, and platform engineering.
• Experience with cloud cost optimization and resource-efficiency practices.

Frameworks and Libraries

Essential

• Software architecture and design patterns.
• Agile development methodologies.
• Project-management and delivery frameworks.
• Technology roadmap and architecture governance practices.
• Frameworks for stakeholder management, risk tracking, delivery reporting, and continuous improvement.

Preferred

• Generative AI and AI-assisted development frameworks.
• Frameworks supporting technology evaluation, innovation management, and solution assessment.
• Enterprise architecture, security architecture, and technology governance frameworks.
• Scaled Agile or comparable delivery frameworks.

Development Tools and Methodologies

Essential

• Experience managing software-development and technology-delivery initiatives.
• Familiarity with project-management tools and methodologies.
• Knowledge of Agile development practices.
• Ability to establish delivery plans, manage dependencies, monitor risks, and track project progress.
• Experience with requirements analysis, solution design, development oversight, testing, deployment, and operational support.
• Ability to define standards, processes, documentation expectations, quality measures, and delivery outcomes.
• Experience with vendor coordination, contract discussions, service reviews, and relationship management.
• Ability to mentor team members and support technical knowledge sharing.

Preferred

• Experience with DevOps, CI/CD, automated testing, release management, and continuous delivery.
• Familiarity with product-oriented delivery, iterative planning, and outcome-based measurement.
• Experience with technology transformation, modernization, or emerging-technology adoption.
• Exposure to technical communities, presentations, blogs, videos, or other knowledge-sharing activities.

Security Protocols

Essential

• Understanding of secure software architecture and development practices.
• Knowledge of access controls, identity management, data protection, secure configuration, and confidentiality requirements.
• Ability to consider security, privacy, compliance, and operational risks during technology evaluation and solution design.
• Understanding of responsible and controlled adoption of AI and emerging technologies.
• Ability to ensure technology initiatives follow organizational security and governance standards.
• Awareness of risks related to unauthorized access, data exposure, insecure integrations, and unmanaged technology adoption.

Preferred

• Experience with security reviews, threat assessment, privacy considerations, and compliance controls.
• Familiarity with cloud security architecture and secure AI or GenAI implementation.
• Exposure to security governance, audit activities, risk registers, and remediation tracking.
• Experience incorporating security requirements into delivery roadmaps and vendor assessments.

Experience Requirements

• Overall experience: 8–10 years of experience in technology leadership and software development, consistent with the qualification requirements.
• Technology leadership experience: Demonstrated experience leading technology initiatives, managing projects, and guiding cross-functional teams.
• Software development experience: Strong technical expertise across multiple areas of software development and technology.
• Architecture experience: Experience with software architecture, design patterns, cloud infrastructure, databases, and technology solution design.
• Delivery experience: Experience driving projects from requirements analysis through design, development, implementation, delivery, and operational support.
• Leadership experience: Experience mentoring team members, providing technical guidance, and supporting engineering quality and delivery outcomes.
• Stakeholder experience: Experience translating business requirements into technical solutions and communicating recommendations to technical and non-technical stakeholders.
• Vendor experience: Experience managing vendor relationships, negotiating contracts, monitoring service performance, and addressing delivery concerns.
• Industry preference: Experience in enterprise technology, digital transformation, software products, cloud adoption, AI, or emerging-technology initiatives is preferred.
• Alternative experience pathways: Equivalent combinations of relevant technology leadership, software development, technical delivery, consulting, architecture, project management, or demonstrated transformation experience may be considered.
• Outcome evidence: Candidates should demonstrate measurable contributions to successful project delivery, improved engineering practices, technology adoption, process efficiency, stakeholder satisfaction, or reduced delivery and operational risk.

Day-to-Day Activities

• Collaborate with internal stakeholders to understand business requirements, define technology solutions, assess priorities, and align delivery plans.
• Lead cross-functional technology teams, provide technical guidance and mentorship, review progress, and support resolution of delivery or engineering issues.
• Evaluate emerging technologies, maintain technology roadmaps, manage vendor interactions, and participate in project planning, reviews, and governance discussions.
• Make technology recommendations within agreed architecture, security, budget, and delivery standards while tracking risks, dependencies, quality, and expected outcomes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field; equivalent relevant experience may be considered.
• 8–10 years of experience in technology leadership and software development, including cross-functional team leadership and project delivery.
• Demonstrated knowledge of software architecture, design patterns, cloud computing, database management, Agile development, and project-management practices.
• Relevant certifications in cloud computing, architecture, Agile delivery, project management, technology leadership, AI, or emerging technologies are preferred.
• Commitment to continuous professional development through training, technical exploration, mentoring, knowledge sharing, and ongoing learning in software engineering, cloud, AI, GenAI, architecture, and technology leadership.

Professional Competencies

• Applies structured analytical thinking to evaluate business needs, technical options, delivery risks, architecture decisions, and technology-investment priorities.
• Leads cross-functional teams through clear direction, mentoring, technical guidance, collaborative decision-making, and shared accountability for outcomes.
• Communicates technical recommendations, business impact, delivery status, risks, contracts, and stakeholder expectations clearly and effectively.
• Adapts to changing business requirements, technology developments, project conditions, organizational priorities, and emerging AI capabilities through continuous learning.
• Evaluates innovation through evidence, practical experimentation, business relevance, security considerations, sustainability, and measurable value.
• Manages time and priorities effectively across strategic roadmaps, project delivery, team leadership, stakeholder engagement, vendor management, and continuous improvement.

S​YNECHRON’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.

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