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Synechron

Digital transformation consulting for financial services

Devin & GenAI Technology Leader - Cloud Architecture, Agile & Software Delivery

Engineering LeadershipPosted on Nov 13
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 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, data structures, and structured and unstructured data concepts.
  • Familiarity with project-management tools, delivery methodologies, and Agile development methodologies.
  • Experience leading cross-functional technology teams and managing software-development projects and technology initiatives.
  • Ability to evaluate technologies and make 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.
  • Strong understanding of software-development concepts and engineering practices, including code quality, maintainability, testing, version control, and software lifecycle practices.
  • Ability to review technical solutions, architecture decisions, development approaches, and implementation risks, and communicate with software engineers and technical specialists across technology areas.
  • Ability to evaluate data-management considerations in solution design and technology planning, including data quality, access control, protection, retention, and governance.
  • Experience with cloud platforms and infrastructure, including cloud architecture, scalability, availability, security, identity, networking, storage, operational support, and resource management.
  • Ability to evaluate cloud options against business, technical, security, delivery, and cost requirements.
  • Knowledge of software architecture and design patterns, Agile development methodologies, project-management and delivery frameworks, technology roadmaps, architecture governance, stakeholder management, risk tracking, delivery reporting, and continuous-improvement frameworks.
  • Experience managing software-development and technology-delivery initiatives, establishing delivery plans, managing dependencies, monitoring risks, tracking project progress, and defining standards, processes, documentation expectations, quality measures, and delivery outcomes.
  • Experience with requirements analysis, solution design, development oversight, testing, deployment, and operational support.
  • Experience with vendor coordination, contract discussions, service reviews, and relationship management.
  • Ability to mentor team members and support technical knowledge sharing.
  • Understanding of secure software architecture and development practices, access controls, identity management, data protection, secure configuration, confidentiality, security, privacy, compliance, and operational risks.
  • Ability to ensure technology initiatives follow organizational security and governance standards and to consider risks related to unauthorized access, data exposure, insecure integrations, and unmanaged technology adoption.
  • 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.

Responsibilities

  • Lead and manage cross-functional technology teams and provide technical guidance, mentorship, and direction to team members.
  • Drive technology initiatives and ensure successful project delivery.
  • 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 business strategy.
  • Evaluate new technologies, including emerging AI and generative AI capabilities, and recommend adoption.
  • Identify areas for improvement and implement process changes to increase delivery efficiency and technical quality.
  • Guide teams in applying 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 expectations for delivery, documentation, security, maintainability, and operational readiness.
  • Support continuous improvement through knowledge sharing, mentoring, process standardization, and technology evaluation.
  • Contribute to improved delivery predictability, reduced technical risk, efficient resource use, better engineering quality, and successful adoption of suitable technologies.
  • Promote sustainability through efficient cloud-resource use, responsible technology adoption, process automation, and reduced unnecessary operational effort.
  • Collaborate with stakeholders to define technology solutions, assess priorities, and align delivery plans.
  • Review team 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 architecture, security, budget, and delivery standards while tracking risks, dependencies, quality, and expected outcomes.

Desired Qualifications

  • Experience with generative AI, AI-assisted software development, or related emerging technologies.
  • Familiarity with tools supporting 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.
  • Experience with one or more production programming languages and exposure to programming languages and frameworks used in AI, generative AI, cloud, data, or enterprise application development.
  • Familiarity with AI-assisted development and emerging software-engineering tools.
  • Experience with relational, NoSQL, cloud, or distributed database technologies and data platforms supporting analytics, AI, and enterprise applications.
  • Exposure to data architecture, data integration, data governance, and information lifecycle management.
  • Experience with cloud-native application development and deployment; familiarity with cloud-based AI, generative AI, data, and developer platforms; and exposure to containers, serverless services, infrastructure as code, and platform engineering.
  • Experience with cloud-cost optimization and resource-efficiency practices.
  • Experience with generative AI and AI-assisted development frameworks; technology evaluation, innovation management, and solution-assessment frameworks; enterprise and security architecture; technology governance; and Scaled Agile or comparable delivery frameworks.
  • Experience with DevOps, continuous integration and continuous delivery, 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.
  • Experience with security reviews, threat assessment, privacy considerations, and compliance controls.
  • Familiarity with cloud-security architecture and secure AI or generative AI implementation.
  • Exposure to security governance, audit activities, risk registers, and remediation tracking.
  • Experience incorporating security requirements into delivery roadmaps and vendor assessments.
  • Experience in enterprise technology, digital transformation, software products, cloud adoption, AI, or emerging-technology initiatives.
  • Relevant certifications in cloud computing, architecture, Agile delivery, project management, technology leadership, AI, or emerging technologies.

About the Company

Synechron

Digital transformation consulting for financial services

Synechron accelerates digital transformation for banks, asset managers, and insurance companies by delivering end-to-end digital, business consulting, and technology services. Its offerings help clients tackle complex business challenges through tailored solutions that combine technology implementation with strategic advisory. The company differentiates itself through its global delivery network, industry focus, and ability to provide integrated services across digital platforms, data, and operations. The goal is to help financial institutions move faster on digital initiatives, improve customer experiences, and optimize operations across worldwide markets.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2001

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