Lead Developer jobs

As Engineering Portfolio Leader your responsibilities will be defining, designing, implementing and operating world-class products for EY and our Clients.

In this role, you will partner with product management to set the vision, strategy and execution for a portfolio that will support yearly revenue in excess of US$40B.

Your key responsibilities

• Build, manage and lead a global team of over 100 passionate engineers as part of the broader EY Engineering team
• End-to-end delivery of a portfolio of Products in partnership with Product Management within agreed targets (on-time, on-budget) and standards
• Manage an overall budget (P&L) in excess of $XM (inc. hosting charges)
• Design, Develop and Operate multi-tenant, global, scalable & highly available Products following the agreed Engineering Operating Model
• Optimize ROI for development and ongoing operations costs of portfolio
• Drive awareness, adoption and reuse of platforms across CT, EY and external partner ecosystem
• Support, measure and continuously improve product availability through Site Reliability Engineering foundational practices (SRE, DraaS)
• Implement DevOps Practices and establish Site Reliability Engineering capabilities across all Products
• Advise and implement technology and platform strategy and standards for Client Technology in collaboration with technology teams across EY
• Advise and implement technology, platforms and development standards as part of Engineering Leadership
• Scout the technology landscape for emerging technologies, patterns and solutions to benefit EY or our Clients
• Drive an engineering culture that attracts and retains the best talent

Other Client-Facing Activities

• Collaborate with technology teams across EY Service Lines, being a thought leader and strategizing with the Client facing teams on implementation of global scale projects, including but not limited to migrations and build out of large-scale solution deployment.
• Participate in client pursuits as the lead representative for EY in the platform and cloud space

Skills and attributes for success

• Balanced experience in managing a delivery organization while having hands-on software development experience
• Expert in driving full product development and software development lifecycle including definition, design, development and operations of globally distributed and scalable cloud-based products
• Expert understanding of software engineering concepts such as: multithreading, data structures, algorithms, design patterns, high performance and scalable components
• Expert knowledge of Application and Infrastructure architectures including non-functional aspects like performance, scalability, reliability, availability etc
• Expert knowledge of software and product development practices and tooling (incl. coding, coding standards and reviews, source control, testing, debugging, build, deployment and operations)
• Deep knowledge on modern multi Cloud (on-prem and public) platforms and infrastructures, Cloud Native application product architectures based on PaaS. SaaS and IaaS services
• Delivering integrated IT operations services across complex multi cloud environments (On-Prem, Azure, Google, AWS) meeting agreed to SLAs
• Technical leadership across infrastructure, networking and platform technologies supporting a diverse application product portfolio (IaaS, PaaS, SaaS)
• Leadership qualities include developing teamwork and trust, exhibiting respectful transparent communication, exemplifying collaboration both with peers and clients and leading positive change that fosters diversity and inclusiveness
• Experienced with managing large IT budgets, driving productivity, quality and cost efficiencies
• Technical leader providing vision, strategy and execution for modern application and infrastructure operations organizations.
• Skilled at creating efficient and modern organization operating models, process and structure supporting shift to Agile, DevOPS and SRE delivery practices.
• Customer centric leader with a sharp focus on delivering significant business value across diverse set of IT and Business stakeholders
• Fiscally responsible budget management and financial control, driving productivity, quality and efficiencies.
• Regular international and domestic travel. Reasonable extension of the working day should be expected commensurate with the needs to fulfil the obligations of the role

Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You will lead your team to shape and deliver a portfolio of products

• Manage a software engineering team that builds, designs, implements and maintains a portfolio of software products and related services.
• Set goals, strategies, budgets, and oversee deployment of large-scale projects across multiple sites.
• Manage robust and scalable systems in order to get ahead of the exponential demand.
• Influence and establish best engineering practices through solid design decisions, processes and tools.
• Provide leadership for engineering standards inside EY and manage collaboration with cross-functional Engineering teams to streamline and improve adoption of software platforms.
• Act as Engineering Leadership provide technical governance across all Engineering products

To qualify for the role, you must have

• Degree at university level
• English language skills - excellent written and verbal communication
• 15+ years in business, prior work in industry, technology or a professional services firm
• 5+ years’ experience in managing senior staff and offshore teams
• Understanding of IT life cycle: pipeline, resource, demand, project delivery, financials
• Outstanding self-management, influence management, information presentation and interpersonal communication

Work as part of the Business Applications Team (Microsoft Dynamics & Power Platform) delivering project based work and managed services to our clients. You will work as part of a project team and will be responsible for various activities, including but not limited to design, build/configuration, testing, analysis, delivery and support of Dynamics & Power Platform solutions. This position is fast-paced and ever-changing, which means you’ll need to be a flexible self-starter and be able to manage changing priorities and learning new and rapidly changing technology solutions.

As part of your training we’ll help you to develop your technical and soft business skills to support your career, so you can learn emerging technology and be empowered to jump right in. You’re likely to balance your time among different Dynamics & Power Platform solutions and other immersive technologies such as the Azure cloud, robotics, machine learning and blockchain. As part of that, you’ll need to be a logical thinker and have an active passion for learning and being challenged.

Essential Functions of the Job:

• Assist in the design, development, and testing of Microsoft Dynamics 365 & Power Platform solutions and their deployment.

• Develop and enhance Plug-ins to extend the functionality of Dynamics 365 applications.

• Participate in code reviews and adhere to best practices in software development

• Work on configurations such as creating entities, forms, workflows, business rules, dashboards and reports.

• Create, Update and maintain Model Driven Apps, Canvas App, Power Automate flows and Power Pages.

• Conduct unit tests and analyze results to confirm that developed code meets requirements

• Develop specifications and design documents Based upon client requirements and translate them into technical specifications.

• Based on the created specifications and design documents create use cases and business process flows

• Document completed configuration following agile build

• Lead teams according to the assigned development feature

• Provide feedback to team members on the requirement specifications and design documents

• Review configurations and builds for completeness and accuracy to design

• Capture and review mapping documents related to data integration and migration efforts

• Perform data related activities such as export, import, transformation, deduplication and cleansing

• Support integration and data migration development and testing efforts

• Support user acceptance testing thru the identification and resolution of identified defects

• Support deployment of solutions to client’s pre-production environments

• Develop training and communications materials to drive user adoption

• Assist in identifying, investigating, and resolving users’ problems with deployed solutions

• Fielding support request through various methods such as calls, chat, email, and/or other communication from users with inquiries regarding use of deployed solutions

• Guiding users through diagnostic and troubleshooting processes, which may include use of diagnostic tools and software and/or following verbal instructions

• Collaborates with programmers to explain errors and/or recommend modifications in programs

• Mentoring Associate Analysts and Analysts on the above responsibilities

• Support the Managers and Senior Managers in upward stakeholder management and day-to-day management of the Dynamics Competency within the Service Delivery Center

Knowledge and Skills Requirements:

• Stay abreast of current business, technology and industry trends relevant to the client's business process management needs

• Experience in software configuration, development, workflow and process design, analysis and quality assurance

• Understanding of release management processes and experience with DevOps pipelines.

• Knowledge of C#, .NET and JavaScript for customizing Dynamics 365 Forms and extending functionality.

• Experience with Microsoft Dynamics 365, Power Platform or CRM solutions and cloud-based technologies (Azure).

• Familiarity with CSS to create and enhance custom user interfaces and improve the user experience.

• Analytical thinking and aptitude to learn and adapt latest technologies and best industry standards and practices

• Experience with implementing technology solutions using Agile and Waterfall methodologies

• Experience with analyzing and solving problems of a complex nature and working with business, management and technology concepts

• Knowledge of project management, teaming, organizational, analytical and problem-solving skills a plus

• Experience working in a shared services function and environment a plus

Supervision Responsibilities:

• Senior Analysts are designated to be a Counselor for three to five Staff/Analyst level employees within three years of entering the Senior Analyst rank. The Counselor role is responsible for managing an employee’s career development, skills development and performance management.

Other Requirements:

• Willingness and ability to travel up to 20% of the time

• Valid US Passport

Job Requirements:

• Bachelor’s degree in Computer Science, Management Information Systems or other technical field of study

• Minimum of 3 years of experience as a member of a technology team participating in one or many of the technology life cycle phases; could include requirements definition, architecture design, conversion and testing

Certification Requirements:

• Candidates are preferred with one or more of the following:

• Microsoft Power Platform Fundamentals, Exam PL-900

• Microsoft Power Platform Functional Consultant, PL-200

• Microsoft Power Platform Developer Associate, PL-400

• Power Automate RPA Developer Associate, Exam PL-500

This job description is intended as a guide to reflect the principal functions of the job. However, it is not an all-inclusive listing of the required job functions and functions may vary depending on the particular geographic location of the job and/or the manager. Further, the job description is subject to change at the discretion of management.

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Propose and drive new technologies to enhance or replace existing business processes

To qualify for the role, you must have

• Undergraduate or master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance or asset management space
• Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

AI Specific

• Ability to understand business challenges and translate them into value-add analytics and insights solutions.
• Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing.
• Experience designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines. Demonstrated exploration of new techniques outside of day-to-day job duties.
• Proficiency in Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers. Experience with working open-source and commercial LLMs
• Helping clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising our clients on leading practices.
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate.
• Designing, architecting, and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process, and analyze large, disparate data sets to exceed business requirements.
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
• A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.).
• Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc.).
• Demonstrated experience of managing and mentoring teams of data scientists, ML engineers, and data engineers on the execution of specific business use cases for AI/ML.
• Strong machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience.
• Ability to quantify improvement in business areas resulting from optimization techniques through the use of business analytics and/or statistical modeling.
• Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.

Additional Requirements:

• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions.
• Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or Reinforcement Learning.
• Expertise in designing and deploying cloud-native architectures and solutions that leverage serverless computing, containerization (Docker, Kubernetes), and microservices.
• Experience in integrating AI/ML solutions within cloud environments to ensure scalability, reliability, and security.
• Familiarity with cloud-based machine learning services like AWS SageMaker, AWS Bedrock, Google AI Platform, Azure Machine Learning & Azure AI Studio
• Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment.
• Understanding of data security and privacy best practices in cloud environments, including compliance
• Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI.
• Strong ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience