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Accenture

Advises businesses and runs their technology

Java Full Stack Lead

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeMississauga, ON, Canada$99.5k - $209.9k /yr

About the Job

Requirements

  • At least 8 years of experience in software engineering, application development, or support roles.
  • Strong experience with Java, Spring Boot, Angular, REST APIs, and microservices.
  • Experience developing and supporting applications on AWS.
  • Understanding of DevOps practices, CI/CD pipelines, monitoring, and release management.
  • Experience working within an Application Maintenance Services model.
  • Experience leading or managing teams across onshore and offshore delivery locations.
  • Practical experience using Generative AI tools and technologies to improve development, support, or operational processes.
  • Experience identifying and implementing AI-powered solutions that improve productivity, automation, and service delivery.
  • Familiarity with AI concepts including Agentic AI, RAG, MCP, workflow automation, and large language model-powered solutions.
  • Strong problem-solving, debugging, and analytical skills.
  • Experience working in Agile delivery environments.
  • Bachelor's degree or equivalent work experience.

Responsibilities

  • Design, develop, and support enterprise applications using Java, Spring Boot, Angular, AWS, and modern cloud-native architectures.
  • Lead full-stack application development initiatives following engineering best practices, coding standards, security requirements, and architectural guidelines.
  • Manage Application Maintenance Services operations, including incident management, service requests, problem management, root cause analysis, release support, and continuous service improvement.
  • Lead and mentor geographically distributed teams across onshore and offshore delivery locations while ensuring high-quality delivery and operational excellence.
  • Collaborate with business stakeholders and product teams to prioritize enhancements, resolve production issues, and improve service performance.
  • Establish and manage DevOps practices, including continuous integration and continuous delivery pipelines, automated deployments, infrastructure automation, monitoring, and operational observability.
  • Design and implement cloud-native solutions leveraging AWS services and best practices for scalability, reliability, security, and cost optimization.
  • Identify opportunities to improve efficiency through automation and introduce AI-powered solutions to streamline development, testing, support, and operational processes.
  • Lead the implementation of Generative AI initiatives including intelligent assistants, workflow automation, agentic solutions, retrieval-augmented generation architectures, Model Context Protocol integrations, and productivity accelerators.
  • Drive service reliability through proactive monitoring, performance optimization, capacity planning, and problem management activities.
  • Partner with architecture and engineering teams to modernize legacy applications and improve maintainability.
  • Support release planning, deployment validation, production stabilization, and post-release monitoring activities.
  • Establish operational key performance indicators, service-level metrics, system health indicators, and continuous improvement programs.
  • Ensure compliance with security, governance, risk, audit, and regulatory requirements.
  • Provide technical leadership during major incidents, crisis management situations, and production recovery efforts.
  • Foster a culture of innovation, collaboration, accountability, and continuous learning across engineering and support teams.

Desired Qualifications

  • Experience leading large-scale Application Maintenance Services engagements.
  • Experience implementing AI-powered solutions that improve operational efficiency and engineering productivity.
  • Strong experience with AWS cloud architecture, modernization, and migration programs.
  • Experience with Site Reliability Engineering practices and operational excellence frameworks.
  • Experience implementing DevOps transformation initiatives and cloud operating models.
  • Experience managing globally distributed engineering and support teams.
  • Familiarity with enterprise monitoring and observability platforms.
  • Experience supporting highly regulated environments with security, compliance, and audit requirements.
  • Experience supporting large-scale digital transformation and modernization programs.
  • Experience driving innovation programs focused on AI, automation, productivity improvement, and process optimization.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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