Solutions Analyst Iii jobs at Jpmorgan in United States, Jersey City

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.

• Assess the potential impact of vulnerabilities on business and technology operations using data-driven risk prioritization.
• Conduct root cause analysis (RCA) of security issues identified during assessments across various technologies and transform your findings into actionable insights.
• Collaborate with stakeholders throughout the firm to understand, address findings, and achieve the common goal of improving the security posture of the firm.
• Identify, design, and implement technical, procedural, educational, or other solutions to effectively mitigate security issues.
• Present analysis, insights, and conclusions to both technical and non-technical audiences, including senior leaders, ensuring clarity and understanding.
• Prioritize remediation efforts using multiple criteria to ensure the most worthwhile issues are addressed first.

• An insatiable technical curiosity about all things Cyber and a desire to expand your skillset.
• Demonstrated ability to be proactive and resourceful, identifying and using appropriate sources for data-driven investigations.
• Knowledge of or experience in offensive or defensive cybersecurity roles and processes such as Incident Response, Threat Intelligence, Penetration Testing, Red Teaming, Risk Management, Cyber Engineering, Cyber Architecture, and Data Privacy.
• Familiarity with network architecture concepts, including cloud architectures, and deploying large-scale applications in an enterprise environment.
• Experience with enterprise level security technologies like firewalls, IDS/IPS, web proxies, DLP, SIEM, SOAR, and others.
• Experience in building analytical processes, templates, and documentation.
• Strong written and verbal communication skills; ability to understand complex problems and present them simply.
• Ability to collaborate with high-performing teams, senior leaders, business stakeholders, third-party vendors, and technical individuals throughout the firm to effectively articulate risk and drive change.
• A strong commitment to ethical practices and doing what is right.

• Coding (scripting) experience (e.g., Python, C, JavaScript, VBScript).
• Experience in developing tactical, operational, and strategic tools and capabilities.
• Bachelor's Degree in Computer Science or a related field, or equivalent experience.
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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

With highly supportive leadership and programs to foster growth and career mobility, your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential.

As an Operations Analyst- Loan Sales in Home Lending, you will be responsible for allocating and delivering mortgaged back securities (MBS), ensuring compliance with investor and regulatory requirements and support the line of business by performing complex operational loan sales and analytical tasks with a focus on investor related loan edit problem solving. You will drive end to end loan quality, recommend operational reengineering opportunity, and lead automation initiatives to benefit streamlined salability processes.

Job responsibilities

• Control tasks for loan sales operations including end to end pooling, allocation, defect identification/remediation, and oversight
• Comprehend investor data requirements and accurately cure related loan quality edits efficiently
• Develop and understand automation solutions for internal operational workflows and builds tools which will optimize and reduce manual processes.
• Lead citizen development initiatives to benefit streamlined salability processes
• Create reporting, interpret results and convey in a concise, straight-forward, and professional manner for all levels of operational staff from supervisors to senior level management.
• Spearhead projects & tasks by ensuring timely completion and articulate any issues and risks to management
• Ensure the integrity of data through automated extraction, translation, processing, analysis, and reporting

Required qualifications, capabilities, and skills

• Analytical skills with independent and logical problem solver and able to synthesize data, identify trends, and project outcomes.
• Ability to organize and prioritize multiple projects and responsibilities with accuracy, attention to detail and limited supervision with very short turnaround times.
• Ability to react quickly and decisively in high stressed situations and ability to lead projects and initiatives, prioritize work, meet deadlines and escalating any issues to management
• Expert level PowerPoint and Excel and Working knowledge of either Alteryx, UiPath, Xceptor or Tableau
• Strong written and verbal communication skills with ability to influence and work collaboratively with diverse/cross-functional teams and develop and maintain effective relationships with a wide range of stakeholders.
• Ability to create presentations for all levels of management and effectively report with an executive presence and creating complex reporting with compelling key messages.
• Ability to work with audit, compliance and regulatory constituencies to manage work in accordance with established procedures and demonstrate accountability for work processes and the associated risks and controls.

Preferred qualifications, capabilities, and skills

• Bachelor’s Degree, majored in Finance, Economics, Statistics, Math, Business Administration, or Computer Science
• 3-5 years Mortgage Banking experience
• Knowledge of mortgage based operating systems including Black Knight, FHLMC Loan Selling Advisor, FNMA Loan Delivery, GNMA SFPDM

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