Architect Iii - Information jobs at Jpmorgan in United States, New York

Job responsibilities

• Design, develop, and maintain scalable web applications using Java and related technologies.
• Collaborate with cross-functional teams to define, design, and implement new features.
• Write clean, maintainable, and efficient code.
• Conduct code reviews and offer constructive feedback to team members.
• Troubleshoot and resolve application issues and bugs.
• Execute software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches to solve complex problems.
• Create secure, high-quality production code and maintain algorithms that integrate seamlessly with existing systems.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Enhance team culture by promoting diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• 3+ years of relevant experience with IAM and Java.
• Strong experience with Identity and Access Management (IAM) concepts and technologies, including OAuth, SAML, and OpenID Connect.
• Formal training or certification in software engineering concepts with 3+ years of applied experience.
• Proficiency in Java/Springboot coding.
• Familiarity with database technologies such as SQL and NoSQL.
• Knowledge of RESTful API design and development.
• Experience with cloud technology.
• Hands-on experience with AWS/Kubernetes.
• Experience with version control systems (Git).
• Practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Certification in IAM or related security fields is highly desirable, as it demonstrates a solid understanding of security protocols and practices.
• Experience working with ForgeRock/Ping Identity

As a Site Reliability Engineer III at JPMorgan Chase within the Infrastructure Platforms, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate.
• Demonstrate deep knowledge of Kafka technology, Kafka connect framework, and distributed systems technologies, with the ability to operate in and migrate across public and private clouds.
• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit.
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems.
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers.
• Contribute to the development of technical documentation, including service APIs using Swagger, ensuring robust logging, auditability, security, and monitoring features.
• Supports the adoption of site reliability engineering best practices within your team.

• Engage in periodic on-call rotation shifts, providing client support and ensuring thorough monitoring of the platform.

Required qualifications, capabilities, and skills

• Formal training or certification on computer science and reliability concepts and 3+ years applied experience.
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficient in at least one programming language such as Java/Spring Boot, python.
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Experience with public cloud platforms like AWS, GCP or Azure.
• Experience with Kafka ecosystem products: Kafka, Kafka Connect, Kafka Streams.
• Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform.
• Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker.
• Familiarity with troubleshooting common networking technologies and issues.
• Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
• Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation
• Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team

• Ability to initiate and implement ideas to solve business problems.

• Familiarity with running Apache Flink.
• Understanding of authentication and authorization technologies (e.g., OAUTH, Kerberos).
• Experience with AWS cloud services and Kubernetes platform orchestration.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in computer science or software engineering concepts and 3+ years of applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Proficient in coding in one or more languages including Java and Python
• Experience with developing applications for AWS using the following tools and AWS services: Terraform, EMR, EKS/ECS, Lambda, RDS and S3
• Experience with Spark and SQL
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Excellent oral and written communication, and problem-solving skills are required

Preferred qualifications, capabilities, and skills

• Experience with Scala programing language
• Experience with or exposure to Snowflake or Databricks cloud platforms

Job Responsibilities:

• Develop data model standards for capturing Conceptual, Logical, and Physical models to align with business objectives
• Work closely with Domain/Tower Information Architects, business stakeholders, and application teams to ensure data model standards are met
• Act as a representative for the organization at Firm-wide and Line of Business Information Architecture forums
• Offer technical leadership and guidance to ensure compliance with Information Architecture standards
• Develop and promote best practices in metadata management, data lineage, and data quality controls
• Perform regular assessments and audits of information architecture to maintain compliance and optimize processes
• Mentor and support team of architects in skill and expertise development

Required Qualifications, Capabilities, and Skills:

• 10+ years applied experience and formal training or certification on software engineering concepts with 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
• Proven experience as an Information Architect or in a similar capacity and data architecture tools
• Strong proficiency in data modelling, metadata management, and information governance
• Proficiency in planning and managing workload, deliverables, and teams under tight deadlines
• Excellent communication and collaboration skills, with the ability to influence stakeholders at all levels
• Familiarity with regulatory requirements and data management standards
• Strong problem-solving skills and attention to detail
• Ability to abstract from specifics and detail from conceptual frameworks. Understanding of governing architectures, solutions, and teams
• Experience working on large-scale, global technology initiatives
• Knowledge of setting, using, and enforcing standards, industry patterns, and best practices

Preferred Qualifications, Capabilities, and Skills:

• Recent hands-on experience with Data Mesh Technologies such as Databricks
• Expertise in analyzing, modeling, depicting, and describing data architectures for diverse audiences

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks
• Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, inclusion, and respect

Required qualifications, capabilities, and skills –

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Background in machine learning, deep learning, and neural networks