Senior Java Developer

Role Summary:

The Client Data Technology team is responsible for ’s core client data platform that drives differentiated experiences for customers, accounts, households, and advisors through various channels (Client’s.com, rep tools, branch tools, call center, etc). This group is primarily focused on building, delivering, and supporting sophisticated systems that power segmentation, client preferences and experiences using event driven architecture, API, batch, and eligibility frameworks to establish resilient and scalable solutions.

We are currently in the process of designing the next iteration of our platform to support current and future business capabilities that will delight our customers. It’s an exciting time to join this team and be involved in building the next chapter of our platform that is crucial for the firm.

You’ll be Responsible for:

• Understanding the needs of the business, conducting research on potential options, and recommending optimal solution based on context.
• Identifying gaps and mitigating risks to delivery, scalability, performance, security, compliance, operational readiness, and work to respond to them or advocate for prioritization.
• Creating efficient, easy to follow architectural diagrams/documents, developing software codes and automated test scripts.
• Architect and develop effective solutions that are in line with the organization's vision.
• Delivering work on time and with quality.
• Reviewing team’s work in planning to ensure teams understand work breakdown and dependencies when considering work sequencing and prioritization.
• Leading a team and coaching them on engineering excellence and practices.
• Fostering a culture of engineering excellence and challenging the status quo.
• Identifying gaps in processes and services across environments.
• Cultivating a culture of open feedback that promotes accountability for getting better together.
• Facilitating discussions ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals.
• Supporting team on critical production issues.
• Building relationships with adjacent domains and teams.

Required Qualifications:

• 6+ years of experience with the following: Java, Spring framework, cloud development, and Web Services (REST, SOAP) supporting high volume transactions in a highly available environment.
• Demonstrated or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—Design, Implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation.
• Practical familiarity with AI tools such as GitHub Copilot or Claude Code is expected.
• 2+ years of experience working with modernized batch solutions (Spring Batch, Spring cloud data flow).
• 3+ years of experience with modern databases like PostgreSQL, Aerospike or relational databases that are cloud compatible.
• 3+ years of experience in cloud deployment in a continuous integration and continuous delivery model (CI/CD).
• 3+ years of experience with continuous build process using Bamboo, Bitbucket/Git, or similar tools.
• 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
• 3+ years of experience in messaging technologies (RabbitMQ, Kafka or equivalent).
• Experience in Test Driven Development, QA Automation and Quality mindset and behaviors.
• Demonstrated ability in solution discovery and crafting designs based on engineering principles.
• 5+ years of experience demonstrating exceptional written, verbal, and people skills with proven experience communicate effectively at all levels.
• 1+ years of Client’s technology domain experience gained as a current or recent contractor or employee
• Ability to work collaboratively with internal and external stakeholders including offshore teams.
• Ability to analyze and solve problems creatively.
• Ability to create delivery roadmap/ plans and ensure adherence.
• Ability to work collaboratively with internal and external stakeholders including offshore teams
• Ability to analyze and solve problems creatively
• Ability to create delivery roadmap/ plans and ensure adherence

Preferred Qualifications:

• Knowledge of Agile methodology and experience in an Agile working environment
• Experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB
• 2+ years of Python experience.
• Experience with the Atlassian tool stack (JIRA, Confluence, etc.,)
• Experience in Financial Services industry

Role – 5:

Role: Kafka Platform Engineer – Event Streaming & AI Operations

Location: Austin, TX (On-site 4 days per week)

Job Type: 12 months (possibility for extension)

Pay Rate: $65-68/hr on C2C

Top 3 must have skills:

• Experience with Confluent Kafka Platform
• Experience with both On-Prem and Cloud
• Must have experience leveraging AI powered tools and building AI driven agentsls as it relates to
• Design and implement secure Kafka architectures, including authentication, authorization, encryption, and network isolation.
• Define and support high availability, disaster recovery, and data replication strategies.
• Ensure alignment with enterprise security, compliance, and governance standards.

Data Streaming & Integration:

• Advise on data ingestion, event streaming, batch and stream processing architectures.
• Provide guidance on data modeling and serialization standards (Avro, Protobuf, JSON Schema).
• Support enterprise integration use cases and resolve complex Kafka related integration challenges.

AI Development

• Design and build AI agents, custom skills, or equivalent frameworks to automate engineering and operational workflows at scale
• Leverage AI-powered tools (e.g., Copilot, AI agents) to accelerate development, automate testing, improve code quality, and enable intelligent SDLC workflows aligned to AI-DLC vision.
• Design agentic workflows and multi-agent orchestration patterns to solve complex distributed systems, integration, and operational challenges
• Strong hands-on experience with GitHub Copilot and other AI-assisted development tools, including advanced prompt engineering and workflow integration to accelerate engineering
• Proven ability to leverage AI-assisted development (e.g., Copilot, code generation) and build AI-driven agents/workflows to improve team productivity and engineering efficiency

Automation & DevOps Enablement

• Drive automation first operations using Python, Ansible, and scripting.
• Build and maintain self service operational tools to reduce day to day support overhead.
• Integrate Kafka platform operations with DevOps and CI/CD tooling (e.g., Azure, Jenkins, Puppet, Chef).

Incident Management & Problem Resolution

• Lead deep dive investigations into complex production issues and outages.
• Perform root cause analysis, document findings, and drive remediation to closure.
• Operate effectively in high pressure outage and incident management scenarios.

Advisory & Stakeholder Engagement

• Act as a trusted technical advisor to Client’s engineering, operations, and leadership teams.
• Communicate complex technical concepts clearly to both technical and non technical stakeholders.
• Demonstrate strong customer focus, ownership, and onshore engagement.
• Collaborate effectively with cross functional teams and vendors.

Required Experience & Skills

• 10+ years of experience in distributed systems, messaging, and enterprise platform engineering.
• Extensive hands on experience with Confluent Kafka Platform (on prem and cloud).
• Strong background in Linux/Unix environments, networking, OS performance, and security.
• Proven experience with automation, DevOps, and operational tooling.
• Experience leveraging AI powered tools to accelerate development and improve team productivity and efficiency
• Excellent written and verbal communication skills.
• Strong organizational, relationship management, and teamwork skills.

Preferred Qualifications

• Confluent Kafka and/or Cloud certifications.

Prior experience supporting large scale, regulated enterprise environments