Java Software Developer jobs

Job Title: Backend Engineer – Service Delivery Senior Analyst

As an FSO Technology Analyst, you’ll be based in our Service Delivery Center, which is made up of high-performing US-based colleagues who work closely with our experienced advisory professionals. We deliver Technology project-based work and managed services to our clients. Here, you’ll work as part of a project team and will be responsible for the design, build/configuration, testing, analysis, delivery and support of Technology 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.

Your Key Responsibilities

The goal is to support our clients to transform their business problems through engineering solutions. You will assist engagement teams through the analysis of specific business requirements, design, develop, integrate, test, and deploy distributed software applications. You will deliver high qualify systems with focus on reliability and excellent customer experience.You will demonstrate in-depth technical capabilities and professional knowledge.

Skills and attributes for success

• Prior fullstack software product development experience with a preferred understanding of DevOps and its supporting services and tools

• Deliver engineering solutions through all phases of the project lifecycle, including requirements definition, engineering design, development, integration, and testing; based on a proven agile methodology.
• Demonstrate hands-on technical capabilities inmultiple programming languages.
• Effectively work with client engagement teams with diverse skills and backgrounds fostering an innovative and inclusive work environment.
• Demonstrate understanding of current technology environment and industry trends and provide recommendations for engagement and client service issues.

• Willingness and ability to travel up to 50% of the time.

To qualify for the role you must have

• Bachelor’s degree in Computer Science or other related field

• A minimum of 3 years’ experience in technology software development
• Back-end experience using modern technologies like Java, Python, Node.js, REST, NoSQL, Microservices, Serverless, and Cloud technologies like AWS, or Azure
• Front-end development with modern frameworks and practices like React, Angular, or Responsive web design
• Experience in designing, building and consuming RESTful APIs
• Hands-on experience building applications/platforms with cloud native/Microservices architecture. Includes experience with IaaS, PaaS, container deployment.
• Experience with modern collaborative development tools (e.g. Git, CI/CD pipelines)
• Experience working with testing frameworks and tools for unit and integration testing and knowledge of TDD or BDD software development techniques
• Comfortable working in an Agile and TDD environment

Ideally, you’ll also have

• Experience with the following technologies
• Akka/Scala
• Kafka/RabbitMQ
• ElasticSearch
• AngularJS/ReactJS
• Hadoop/Spark/Flume
• Mongo/Cassandra/Any NoSQL DB

What we look for

We’re interested in intellectually curious people with a passion for finding new and innovative ways to make things better. You’ll also need to be a self-starter and quick learner with a strong background in computer science from both theoretical and practical points of view. If you’re ready to be the future of the group and make your mark in a growing business, this role is for you.

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