276 jobs found

Job Description Senior Salesforce Technical Lead Location: REMOTE Workplace type: Hybrid Employment type: Full-time Seniority: Mid-Senior level Job function: Engineering Information Technology Consulting Industries: IT Services and IT Consulting Financial Services Travel: 25-30% Openings: Multiple - immediate start The Role You lead the build. You are the senior technical voice on an FSC program - setting technical direction, making the calls the team argues about, reviewing the code that ships, and staying hands-on enough that nobody can snow you. We're looking for depth, not breadth-with-a-résumé. You should have taken FSC implementations from blank org to production and back through hypercare, more than once, and you should be able to explain exactly where the standard product ends and custom work has to begin. What You'll Do Technical leadership Own end-to-end technical delivery for an implementation or a major workstream within multi-cloud programs. Translate solution architecture into technical design: object model extensions, sharing and visibility design, automation strategy, integration patterns. Set and enforce coding standards, design patterns, and the automation strategy (Flow vs. Apex vs. Industries tooling) - and document the reasoning. Run design reviews and code reviews; act as final technical approver for your workstream. Lead, mentor, and technically manage a distributed team of 8-10 developers and admins across US and India, in an overlapping-hours model. Hands-on build Build and guide FSC configuration: Person Accounts vs. Individual model, Financial Accounts, Financial Holdings, Financial Goals, Householding and Relationship Groups, Relationship Mapping, ARC, Action Plans, Interaction & Interaction Summaries, Record Alerts, Business Rules Engine, Discovery Framework, Compliant Data Sharing. Develop and review Apex, LWC, SOQL, Flow, and Salesforce Industries/OmniStudio components to production quality. Design and implement integrations - REST/SOAP APIs, Platform Events, Change Data Capture, Salesforce Connect/External Objects, middleware (MuleSoft, Boomi, Informatica) - to core banking, Mortgage, Insurance, custodial, market data, document, and e-signature systems. Lead large-scale data migration and data quality workstreams; design for LDV (large data volume) with skinny indexes, selective queries, and archival strategy in mind. Design for scale and governance: governor limits, bulkification, async patterns, sharing recalculation, and org-wide performance. Quality, security & DevOps Own the CI/CD pipeline and release process - Flosum, Copado, Gearset, SFDX, Git branching strategy, environment/sandbox strategy. Drive test strategy: Apex test coverage that means something, automated regression, SIT, performance testing, and hypercare readiness. Implement security and compliance controls - Shield Platform Encryption, Field Audit Trail, Event Monitoring, profiles/permission sets, compliant data sharing for regulated data. Manage technical debt deliberately, and say so out loud when a shortcut is being taken. Client & practice Present technical designs and trade-offs to client architects, IT leadership, and security review boards. Provide estimates that hold up, and flag scope and risk before it becomes a problem. Support pre-sales - solutioning, technical POVs, demos, and estimation for new FSC pursuits. Contribute accelerators, reference implementations, and reusable components to the Cloud Peritus CoE. What You Bring (Required) Minimum 14+ years of technology experience, with 10+ years hands-on Salesforce delivery. Deep, demonstrable Financial Services Cloud implementation experience - multiple full-lifecycle FSC programs where you owned the technical outcome. Expert-level Apex, Lightning Web Components, SOQL/SOSL, Flow, and the Salesforce platform's declarative-vs-programmatic decision surface. Strong Sales Cloud and Service Cloud technical depth. Proven integration delivery - API design, middleware, event-driven patterns, error handling and retry design, and real-world experience with financial services source systems. Experience leading and mentoring distributed onshore/offshore engineering teams. Solid grasp of Salesforce security, sharing architecture, and data governance in a regulated environment. Production-grade CI/CD and release management experience. Consulting or client-facing delivery background strongly preferred. Nice to Have Certifications: Platform Developer II , Application Architect and/or System Architect , Integration Architect , Data Architect , Financial Services Cloud Accredited Professional , Sales/Service Cloud Consultant , JavaScript Developer I . Salesforce Industries / OmniStudio and Vlocity-lineage tooling at depth. Data Cloud, Agentforce, Einstein, or Marketing Cloud integration experience. MuleSoft certification or equivalent enterprise integration credential. Experience with nCino, ICE Mortgage/Encompass, FIS, Fiserv, Jack Henry, Plaid, Envestnet/Yodlee, DocuSign, or comparable FS platforms. Flosum, Copado, or Gearset certification. First 90 Days - What Good Looks Like Day 30: You own the technical design and implementation for your workstream and have identified the top three technical risks on the program. Day 60: Your team is shipping on a clean CI/CD pipeline, code reviews are consistent, and the client's technical stakeholders come to you first. Day 90: A production release has gone out under your technical ownership, and you've raised at least one reusable asset into the CoE.

Job Description Duration: Direct Hire Compensation: $250k - $305k base salary + bonus + equity Location: Remote w/ monthly travel We are seeking an experienced VP of Platform Engineering to lead enterprise architecture, cloud infrastructure, security, and technology operations for a growing financial technology organization. This executive will drive platform modernization, AI-powered automation, scalability, security, and reliability while leading high-performing engineering and operations teams. Responsibilities: Lead CloudOps, SecOps, SRE, network, database, and IT operations. Define and execute enterprise architecture and cloud strategies. Drive AI-powered automation and agentic AI adoption. Oversee cloud infrastructure across AWS, Azure, and GCP. Ensure platform scalability, reliability, security, and performance. Implement AI governance, security controls, and compliance standards. Lead cloud modernization, DevOps, and Infrastructure-as-Code initiatives. Optimize infrastructure costs, AI workloads, and resource utilization. Oversee incident management, disaster recovery, and operational resilience. Manage technology budgets, strategic initiatives, and engineering teams. Partner with executive leadership on technology strategy and innovation. Requirements: 15+ years in platform engineering, cloud, infrastructure, or IT operations. 8+ years of senior technology leadership experience. Strong experience with cloud-native architecture (AWS, Azure, GCP). Experience leading infrastructure, SRE, SecOps, and IT operations teams. Knowledge of AI/ML infrastructure, agentic AI, and LLMOps. Experience with Kubernetes, DevOps, CI/CD, and Infrastructure-as-Code. Strong understanding of enterprise security, governance, and compliance. Experience driving cloud modernization, automation, and operational efficiency. Proven ability to lead teams, manage budgets, and execute technology strategy. Preferred Requirements Experience in fintech, payments, or regulated industries. Familiarity with AI orchestration tools such as LangGraph, CrewAI, or AutoGen. Knowledge of SOC 2, PCI-DSS, NIST AI RMF, and AI security frameworks. Experience with AI-driven operations, observability, and automated remediation.

Job Description Job Description Principal Enterprise Architect Job Category: Software Development / Engineering Job Type: Permanent Full-Time Openings: 1 Locations: Lafayette, LA Knoxville, TN Columbia, SC Birmingham, AL Position Description We are seeking a Principal Enterprise Architect to support enterprise-wide Application Portfolio Management (APM), Technology Portfolio Management (TPM), and modernization initiatives within a large financial services environment. This role will help mature how application and technology portfolios are assessed, governed, rationalized, and modernized. The Principal Enterprise Architect will establish portfolio frameworks, improve traceability across business capabilities and technology assets, and transform architecture information into structured data that supports informed investment and modernization decisions. The role will work closely with Enterprise Architecture, Business Architecture, Product, Engineering, and Portfolio Management teams and utilize enterprise architecture platforms such as ARIS, Alfabet, or comparable tools . Experience supporting modernization initiatives within AWS-heavy cloud environments is highly valuable. Required Qualifications 10+ years of Enterprise Architecture experience within large, complex enterprise environments. Strong hands-on experience with Application Portfolio Management (APM) and Technology Portfolio Management (TPM) . Experience evaluating application and technology portfolios for: Modernization Rationalization Lifecycle management Technical health Strong understanding of enterprise architecture modeling, metamodels, architecture repositories, and Architecture-as-Data practices . Hands-on experience with ARIS, Alfabet, or comparable Enterprise Architecture Management platforms . Ability to establish and maintain relationships across: Business capabilities Value streams Applications Technologies Supporting processes Experience developing: Portfolio assessment criteria Modernization scorecards Architecture metrics Guardrails Governance standards Strong understanding of cloud modernization , preferably within AWS-heavy enterprise environments . Experience translating architecture and portfolio data into actionable recommendations for technology and business stakeholders. Strong communication and stakeholder management skills. Ability to influence senior leaders and cross-functional teams . Financial services or other highly regulated industry experience is strongly preferred. Education Bachelor's degree in Computer Science, Information Systems, or a related field. Compensation & Benefits A reasonable estimate of the current compensation range for this role in the U.S. is $129,100 - $226,200 , depending on skills, experience, training, certifications, and other relevant factors. Eligible employees may receive benefits including: Competitive compensation Comprehensive insurance options 401(k) matching contributions Employee share purchase plan Paid vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well-being programs Ref: Pittsburgh

Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:

Job Description The Global Markets and Risks IT department is seeking a Business Support and Monitoring IT Manager to lead application support for Global Markets Front Office platforms-including Equity Derivatives, Securities Lending, Global Macro, Rates, FX, Commodities, and Credit Markets-as well as downstream support functions. This hands-on leadership role oversees a team of 15 or more IT Application Support Analysts providing high-quality Level 1 and Level 2 functional and technical support. You will lead key aspects of application production management, with a focus on incident management, platform observability, capacity planning, and continuous service improvement. You will work closely with technology leaders across business platforms and infrastructure teams, as well as with Natixis's head office in Europe. Supported Applications and Technical Scope Electronic trading and execution: Fixed income and FX trading workflows, pricing, and Credit Markets execution gateways, including ION, FIX protocol, and exchange connectivity. Securities lending, equity structured products, and derivatives: Trading platforms such as Fidessa, Horizon, and Dash; equity structured products trade workflows; booking; lifecycle management; and documentation. Risk and analytics: Real-time pricing, P&L, and risk calculation engines, including P&L, Greeks, VaR, and stress testing across asset classes. Market data and access: LSEG RTDS/TREP, Bloomberg B-Pipe, and market access and electronic trading connectivity infrastructure. Core vendor engines and downstream flows: Booking engines such as Summit, Murex, Sophis, and Loanet, with downstream flows to Operations, including Calypso, SWIFT, settlement, and clearing; and to Finance. Regulatory reporting: Reporting engines such as TRACE. Responsibilities include, but are not limited to: Lead IT functional and technical application support for trading workflows, execution platforms, trade and booking gateways, pricing, P&L and risk systems, reference data, and market data and access platforms. Oversee production management activities, including incident management and monitoring. Ensure alignment with the IT run framework, including incident and problem management, communications, root cause analysis, post-incident reviews, action-plan follow-up, and IT documentation requirements. Improve support organization and processes within the team and in partnership with local and global IT Development and IT Infrastructure teams, including follow-the-sun support and remediation follow-up. Strengthen collaboration across Natixis platforms locally and globally, including with teams in Paris, to support Global Markets IT. Develop the team, build trust, empower team members, and foster engagement and talent development. Build strong partnerships with business users to understand business processes and align IT support with business needs. Develop relationships with technology vendors. Plan resources and manage work in accordance with prioritization governance. Provide regular status updates to senior management. Mentor team members on IT support and monitoring best practices. Work with the IT leadership team to shape IT strategy and promote continuous improvement, strengthening the team's ability to support application platforms and deliver reliable service to users. Qualifications Bachelor's or master's degree in engineering or computer science. At least 8 years of experience leading IT application functional and technical support teams, ideally with 8 to 20 team members. At least 8 years of experience in financial services; experience at an international bank is strongly preferred. Knowledge of financial products and trade workflows, including structured products, equity options, securities lending, total return swaps (TRS), repos, interest rate derivatives and term structures, credit bonds, and collateralized loan obligations (CLOs). In-depth understanding of market data and access infrastructure, including LSEG RTDS/TREP and Bloomberg B-Pipe. Expert knowledge of IT support and monitoring best practices. Significant experience with vendor booking applications, such as Sophis, Loanet, and Summit, and their feeds to downstream systems for Operations, including collateral management, Calypso, settlement, clearing, and SWIFT, as well as Finance, Risk, and Compliance. Good understanding of regulations related to broker-dealer activities. Strong knowledge of securities financing and fixed income trades, post-trade business processes, settlement and clearing, and transaction regulatory reporting. Advanced leadership skills. Excellent written and verbal communication skills, as well as strong active-listening skills. Strong project management skills, including organization, planning, time management, and prioritization, with close attention to detail and the ability to meet deadlines. Strong interpersonal skills and the ability to build relationships and networks at all levels of the organization. The salary range for this Director position will be between $195,000 - $230,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance.

Job Description Senior Security Engineer Hybrid, Charlotte, NC Our Fortune 500 Financial sector client is seeking a Senior Security Engineer to support enterprise security initiatives focused on Information Protection & Risk Management (IPRM), Zero Trust, and Identity & Access Management (IAM). This role will partner closely with senior architects and contribute to both strategic design and hands-on execution. Key Responsibilities Support the design and implementation of enterprise security architecture frameworks Contribute to IPRM and defensive security initiatives across the organization Assist in developing and evolving Zero Trust architecture strategies Partner with senior architects to deliver scalable IAM solutions Provide hands-on support for application security and data protection initiatives Act as a peer within the internal architecture team, contributing to portfolio-level decisions Help manage overflow project work and drive execution of key security priorities Required Qualifications 5+ years of experience in security architecture or cybersecurity engineering Strong expertise in: Identity & Access Management (IAM) Zero Trust frameworks Application security Data protection and access controls Ability to translate security requirements into architectural solutions Proven ability to work independently and problem-solve in ambiguous environments Preferred Qualifications Experience in financial services or regulated environments Familiarity with risk management frameworks (e.g., NIST, ISO) Hands-on experience implementing enterprise security solutions

Job Description The Manager, AI & Business Transformation leads Fresh Origins' AI program from the business side. This is a business analyst and project manager first: someone who can sit with Operations, Sales, Accounting, and Production, understand how work actually gets done, find where AI and automation will pay off, and then run the projects that deliver it. The core of the role is AI program leadership: building the roadmap, managing outside AI partners, running pilots, driving adoption of the company's enterprise AI tools, and reporting results to leadership and corporate. Supporting that is business analytics and reporting: defining KPIs, partnering with the analytics team on the company data lake and Power BI, and making sure decisions run on one trusted set of numbers. Underneath both is the ERP: understanding the data model, working with the ERP administrator and implementation partner on configuration and integration needs, and keeping AI and analytics initiatives grounded in the system of record. Reporting to the IT Director, this position is the operational leader of Fresh Origins' AI and data initiatives and a core part of the company's investment in AI-driven transformation. The role works closely with the EDI & Production Systems Coordinator, who manages EDI transactions, trading partner platforms, VIDA18 warehouse management, item data, and the commercial customer portal, and with stakeholders across Finance, Operations, Sales, and Production. It supports Fresh Origins' mission of delivering the highest-quality microgreens and edible flowers through innovation and precision. KEY RESPONSIBILITIES AI Program Leadership • Own the AI roadmap and project portfolio: prioritize initiatives by business value, feasibility, cost, and timeline; sequence them; and manage them end to end from discovery through adoption. • Educate leaders and key stakeholders on AI principles, capabilities, risks, and practical business applications; translate technical concepts into clear business recommendations. • Lead business analysis for AI use cases: interview stakeholders, map current processes, quantify manual effort and data breaks, and define requirements and success metrics before any tool is selected. • Run projects as the project manager of record: scope, timeline, resourcing, risk, testing, rollout, and status reporting for each AI and automation initiative. • Manage outside AI consultants and implementation partners day to day: set deliverables, review work, test outputs, and hold partners to scope, budget, and timeline. • Lead the AI-driven demand planning initiative from the business side: define the planning questions, coordinate data readiness (planting, harvest, yield, weather, holidays, sales), and validate model outputs with Production and Sales. • Support the rollout of AI-assisted order intake and customer service automation: process design, user acceptance testing, and clean handoff into ERP and customer-facing workflows in coordination with the EDI & Production Systems Coordinator. • Drive adoption of the company's enterprise AI tools: identify use cases by department, deliver training and office hours, manage licenses, and track utilization and outcomes. • Pilot and evaluate AI capabilities for forecasting, anomaly detection, document processing, and workflow automation; recommend build, buy, or partner decisions. • Prepare AI program updates for company leadership and corporate stakeholders, including portfolio-level AI reporting and best-practice sharing. • Maintain the AI governance framework with the IT Director: responsible use, data privacy, vendor risk, and change management. • Own business continuity for AI tools, automations, and integrations once live: documentation, monitoring, fallback procedures, and clear ownership of what happens when a system fails. Business Analytics & Reporting • Define and maintain KPI definitions with Finance, Operations, and Sales so leadership reports from a single source of truth. • Partner with the analytics team and outside partners on the company data lake and Power BI: prioritize dashboards, validate data, and drive adoption of governed reporting over manually built spreadsheets. • Analyze structured and unstructured data (transactions, customer service notes, emails, call records) to surface trends, exceptions, and opportunities that feed the AI roadmap and leadership decisions. • Identify where teams are manually assembling data the data lake already produces and migrate them to governed reporting. ERP & Systems • Understand the ERP data model and core processes (order-to-cash, procure-to-pay, inventory, financial close) well enough to design AI and analytics solutions that fit how the business runs. • Translate business requirements into configuration and integration requests; work with the ERP administrator and implementation partner to deliver them. • Improve data connectivity across the business systems stack (NetSuite, Salesforce, Power BI, ADP, VIDA18, and EDI middleware) so AI and analytics initiatives run on connected, trusted data. • Champion master data quality across items, customers, vendors, and GL structure; lead cleanup and reclassification efforts that unblock reporting and AI. • Review ERP release notes and platform AI features; recommend adoption to leadership. • Document processes, data standards, and standard operating procedures for AI-supported workflows. QUALIFICATIONS & EXPERIENCE Education • Bachelor's degree in Business Administration, Information Systems, Data Analytics, Industrial Engineering, or a related field, or equivalent experience. • PMP, CBAP, or similar project or business analysis certification is a plus. Experience • 5+ years as a business analyst, systems analyst, or project manager in an ERP-driven environment (NetSuite, SAP, Dynamics, Oracle, or similar). • Proven record leading cross-functional projects end to end and managing vendors, consultants, or implementation partners. • Hands-on experience gathering requirements, mapping processes, and defining KPIs for operations, finance, or sales teams. • 1+ years leading or contributing to AI, machine learning, or intelligent automation initiatives in a business setting; experience rolling out enterprise generative AI tools is strongly preferred. • Experience working with a BI platform (Power BI preferred) and a data warehouse or data lake. • Experience in food production, agriculture, manufacturing, or distribution is a significant plus. Technical Skills • Working knowledge of ERP data structures and core transaction flows; NetSuite experience is a plus, not a requirement. • SQL for data validation and analysis; comfort with a cloud data warehouse (BigQuery or similar). • Power BI or equivalent BI tool; dashboard design and KPI definition. • Project management tools and methods (Agile or hybrid); requirements and process documentation. • Familiarity with generative AI platforms, AI-powered analytics, and automation tools; ability to evaluate vendors and pilot solutions. • Advanced Excel (pivot tables, Power Query, XLOOKUP); exposure to Python or scripting is a plus. CORE COMPETENCIES • Business-first thinker: starts with the problem and the process, not the tool. • Strong project management discipline: scopes clearly, communicates status, manages risk, and finishes. • Clear communicator and teacher; explains AI to non-technical stakeholders, including executives and corporate, without hype. • Data-literate and analytical; comfortable questioning numbers and validating results. • Collaborative and pragmatic; builds trust across Accounting, Operations, and Sales. • Curious and self-directed, with a growth mindset toward AI and automation. • Organized and accountable; manages multiple vendors, projects, and deadlines at once. LEADERSHIP EXPECTATIONS • Act as the trusted advisor to leadership on AI, analytics, and business systems. • Own outcomes, not just tasks: define success for each initiative, measure it, and report it. • Manage outside partners and consultants to deliverables, budget, and timeline. • Mentor the EDI & Production Systems Coordinator and other team members on analysis, data standards, and AI tools; potential future supervision of analyst-level staff. • Champion responsible AI adoption and data literacy across the organization. • Model professionalism, accountability, and continuous learning. • Prioritize the safety and well-being of co-workers by following all company safety protocols. PERFORMANCE MEASURES • On-time, on-scope delivery of AI and automation projects (demand planning, AI order intake, tool rollouts). • Measurable time savings, cost reduction, or accuracy gains from AI initiatives, documented per project. • Enterprise AI tool utilization and active use cases by department. • Adoption of governed Power BI reporting and reduction in manually built spreadsheets. • Quality of requirements, process documentation, and KPI definitions. • Partner and vendor performance against scope, budget, and timeline. • Stakeholder satisfaction across Finance, Operations, and Sales. CAREER DEVELOPMENT OPPORTUNITIES This position offers growth into roles such as Senior Manager, AI & Transformation; Director of Business Systems; Director of Data & Analytics; or Vice President of AI, Transformation & Strategic Initiatives click apply for full job details

Job Description Senior Business Analyst, Salesforce Financial Services Cloud Location: REMOTE Workplace type: Hybrid Employment type: Full-time Seniority: Mid-Senior level Job function: Business Analysis Consulting Information Technology Industries: IT Services and IT Consulting Financial Services Travel: 25-30% to client sites Openings: Multiple - immediate start The Role You are the translation layer between a client's business ambition and what we build. You'll run discovery and elaboration with client stakeholders; you'll pressure-test what they say they want against what the FSC data model and Sales/Service Cloud can elegantly do; and you'll produce the requirements artifacts our architects and developers can build from without guessing. This is a consulting BA role, not an internal-IT BA role. You will be client-facing, you will facilitate rooms with senior stakeholders, and you will be expected to have a point of view. What You'll Do Discovery & requirements Lead discovery workshops, stakeholder interviews, and process-mapping sessions across front, middle, and back office financial services functions. Elicit, document, and rationalize business requirements into epics, user stories, and acceptance criteria that meet a definition of ready our engineers respect. Produce current-state ("as-is") and future-state ("to-be") process flows, capability maps, and gap analyses. Run fit-gap analysis against out-of-the-box FSC, Sales Cloud, and Service Cloud capability - and defend "configure, don't customize" when it's the right call. Solution shaping Partner with Technical Leads and Architects to translate business needs into solution options, with trade-offs articulated in business language. Contribute to the FSC data model design conversations: Person Accounts vs. the Individual model, Households and Relationship Groups, Financial Accounts and Financial Holdings, Relationship Mapping and the Actionable Relationship Center (ARC). Define and document business process automation using Flow, Action Plans, Business Rules Engine, Record Alerts, and Discovery Framework. Shape Sales Cloud (lead-to-opportunity, referral management, pipeline, forecasting, territory) and Service Cloud (case management, omni-channel routing, knowledge, CTI, service console, entitlements/SLAs) process design. Delivery Own and groom the product backlog; drive sprint planning, backlog refinement, sprint demos, and UAT alongside the client product owner. Write and execute test scenarios and test scripts; coordinate UAT, triage defects, and manage the path to sign-off. Produce and maintain functional specs, data dictionaries, business process documentation, and training/enablement material. Support data migration workstreams: source-to-target field mapping, data quality rules, reconciliation criteria. Define reporting and analytics requirements - dashboards, KPIs, CRM Analytics for financial services. Client leadership Manage stakeholder expectations, surface risks early, and drive decisions to closure rather than waiting for them. Facilitate steering committee and program readouts with clarity and confidence. Support change management, adoption planning, and end-user enablement. Mentor junior BAs and contribute reusable accelerators, templates, and playbooks back to the Cloud Peritus practice. What You Bring (Required) Minimum 8 years of business analysis experience, with a meaningful portion in Salesforce ecosystem delivery. Hands-on Financial Services Cloud (FSC) experience - you have delivered on FSC, not just read about it. You can speak to the FSC data model, householding, financial accounts, and relationship management from real projects. Strong Sales Cloud and Service Cloud functional depth across full lifecycle implementations. Prior consulting experience strongly preferred - you've worked for a partner/SI or advisory firm and understand billable delivery, scope discipline, and client management. Demonstrated experience across at least 2-3 end-to-end Salesforce implementations from discovery through hypercare. Fluency in Agile/Scrum delivery and tooling - Jira, Confluence, Azure DevOps, or equivalent. Strong process modeling skills (BPMN, swimlanes, journey maps) with Lucidchart, Visio, Miro, or similar. Exceptional written and verbal communication; you can write a crisp user story and run a room of MDs. Domain fluency in one or more of: retail/commercial banking, wealth & asset management, insurance, mortgage & residential lending, private equity/investment banking. Nice to Have Salesforce certifications: Certified Business Analyst, Administrator, Sales Cloud Consultant, Service Cloud Consultant, Financial Services Cloud Accredited Professional. Experience with Salesforce Industries / OmniStudio (OmniScripts, FlexCards, Integration Procedures, DataRaptors). Exposure to Data Cloud, Agentforce, or Einstein capabilities in a financial services context. Familiarity with regulatory context - KYC/AML, FINRA/SEC, GLBA, SOC 2, GDPR/CCPA - and how it constrains design. Experience integrating with core banking, custodial, mortgage (e.g., ICE/Encompass)or lending platforms, Insurance (e.g., Guidewire). CBAP, PMI-PBA, or CSPO certification. First 90 Days - What Good Looks Like Day 30: Fully onboarded to your client program; you've mapped the stakeholder landscape and can articulate the business objectives behind every active epic. Day 60: You own a backlog. Your stories go into sprint without rework, and your process documentation is what the client screenshares in their own internal meetings. Day 90: You're the client's trusted advisor on the functional side, you've identified at least one improvement opportunity nobody asked you for, and you've contributed one reusable asset to the CoE.

Job Description Are you a Analytics Engineer with structured products knowledge interested in joining the front office of a leading asset management firm? My client has a small, high-impact analytics team that is looking for a Software Engineer with 5+ years of experience. If you are excited about a hybrid software engineer / analytics infrastructure role where your work sits directly in the front office, and where your platform powers the firm's traders and researchers every day, then this is the opportunity for you. What's the Job? My client is hiring an Analytics Engineer to join a small front-office analytics team at a leading fixed income asset manager in New York. The team owns the firm's analytics platform, the front-office system hosting quantitative models and numerical applications built both by the team itself and by the firm's researchers. This is far more than software development: the role spans software engineering, data analytics, and application development. You'll build and maintain analytics infrastructure, develop desk tools, and productionize models coming out of quantitative research, including code review as the firm expands its quant hiring. Think of it as software engineer plus infrastructure: you're not just hosting your own models, you're the bridge that takes research-grade quantitative models into production. You'll report directly to the team lead on a tight-knit team, with high visibility to traders, researchers, and senior leadership. It's a rare seat combining hands-on engineering with real exposure to the investment side of the business. Requirements 3-7 years of professional experience as a software engineer, analytics engineer, or in a similar role (flexible for the right candidate). Strong Python skills: this is the primary language. C++ is a plus, used for computational speed on heavy simulations and evaluations (not HFT-style low latency). Financial product knowledge is important; experience with structured products (RMBS, ABS, CMBS, CLO) is a strong plus, but trainable if the technical skills are there. Training at a major bank or large asset manager is preferred. Master's degree is preferred. Comfort on a small team where you'll wear multiple hats across development, analytics, and infrastructure. Compensation Total compensation $300k - $350k Location This role is based in the firm's New York City office five days a week, with potential flexibility for one remote day down the road. Interview Process Three rounds, designed to move quickly: Phone screen with the hiring manager. Onsite (half day): meet the team, peer teams, and desk users - technical and business knowledge. Final onsite with senior leadership - more conversational. Candidates able to start right away are preferred (US Citizens / Green Card holders); exceptional H1B transfer candidates will be considered. To learn more, apply here today or contact me directly at: .

Job Description Job Description Strong experience in DevOps Automation, Application Support, Release Management, and Production Operations for mission-critical applications. Hands-on expertise with CI/CD and automation tools such as Jenkins, Bamboo, Ansible, Git, Bitbucket, Maven, Docker, SonarQube, and Jira. Strong scripting experience using PowerShell, Python, Shell Scripting, Perl, and/or Batch. Experience supporting applications built on .NET, ASP.NET, VB.NET, Java/J2EE, IIS, and SQL Server. Strong database experience with SQL Server, DB2, PL/SQL, and stored procedures, with exposure to platforms such as Sybase, DynamoDB, Cosmos DB, Snowflake, or PostgreSQL. Hands-on experience with AWS and/or Azure, including deployment, migration, monitoring, and operational support. Experience with application deployments, upgrades, hotfixes, platform migrations, regression validation, and post-production verification. Experience with vulnerability remediation, security patching, system hardening, disaster recovery, high availability, monitoring, troubleshooting, and root cause analysis. Experience supporting integrations across distributed applications, databases, secure file-transfer systems, cloud services, and Mainframe platforms. Functional / Banking Skills Strong experience supporting banking or financial-services applications, preferably within Payments, Personal Banking, or Business Banking. Knowledge of payment processing, exception management, collections, adjustments, disputes, reconciliation, remittance, billing, and financial accounting. Experience supporting or working with applications such as TRIPS, ARP, ARMS, ERS, PRP, PEP+ Billing, IAS, and XAA Billing is highly preferred. Understanding of banking transaction lifecycles, reconciliation controls, batch/file processing, financial operations, regulatory controls, and business continuity. Exposure to Mainframe technologies such as DB2, COBOL, CICS, REXX, and batch processing is preferred. Experience with Power BI, Tableau, or Crystal Reports is an advantage. Roles & Responsibilities Provide 24x7 production and operational support for mission-critical banking and payment applications. Support payment exception processing, returned items, collections, adjustments, disputes, reconciliation, remittance, billing, and accounting platforms. Perform application deployments, release management, upgrades, hotfix implementation, and platform migrations. Design and maintain automation for deployments, batch processes, secure file transfers, monitoring, operational workflows, and disaster recovery. Build and enhance CI/CD pipelines using Jenkins, Bamboo, Ansible, Git/Bitbucket, Maven, Docker, SonarQube, and related tools. Develop PowerShell, Python, Shell, Perl, and Batch scripts to reduce manual operational effort. Monitor production environments and perform incident troubleshooting, root cause an alysis, problem management, and permanent remediation. Lead or support vulnerability remediation, security patching, compliance activities, and system hardening. Support AWS and Azure migrations and modernization initiatives across banking applications. Support applications integrating Mainframe, distributed systems, databases, cloud services, and secure file-transfer platforms. Perform regression testing, production validation, and post-deployment verification following releases. Support disaster recovery planning, automation, execution, and testing. Collaborate with business users, vendors, infrastructure, operations, security, and application teams to resolve issues and implement solutions. Develop and maintain support runbooks, deployment procedures, technical documentation, DR plans, and knowledge repositories. Develop or support operational dashboards and reporting using Power BI, Tableau, and Crystal Reports. Identify opportunities for automation, modernization, reusable utilities, and continuous operational improvement.

Job Description Immediate need for a talented IT Enterprise Architect . This is a 06+ Months Contract opportunity with long-term potential and is located in Richmond, VA (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:26-32659 Pay Range: $85 - $90/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Develop and maintain enterprise cloud strategies, architecture principles, and reference architectures. Lead enterprise cloud transformation, hybrid-cloud migration, and application modernization initiatives. Collaborate with business and technology leaders to align cloud architecture decisions with organizational goals. Design secure, scalable, reliable, and cost-effective cloud solutions across AWS and Microsoft Azure. Establish architecture standards and governance frameworks for cloud infrastructure, networking, identity management, security, storage, databases, and integration. Conduct architecture reviews, evaluate technical solutions, identify risks, and recommend improvements. Implement cloud security best practices, including identity and access management, encryption, network segmentation, monitoring, backup, and disaster recovery. Promote Infrastructure as Code (IaC), CI/CD, GitOps, policy as code, and automated security practices. Guide cloud-native application development using microservices, APIs, containers, Kubernetes, and serverless technologies. Evaluate emerging cloud technologies, vendor solutions, and enterprise platforms. Drive cloud financial management (FinOps), cost optimization, and technology lifecycle management. Identify technical debt, infrastructure gaps, and modernization opportunities. Mentor architects and engineering teams while communicating architecture recommendations to senior leadership and technical stakeholders. Key Requirements and Technology Experience: 10+ years of experience in Enterprise Architecture, Cloud Architecture, Solution Architecture, or large-scale technology transformation. Strong experience with AWS and/or Microsoft Azure cloud architecture. Proven experience developing enterprise architecture strategies, technology roadmaps, and reference architectures. Strong understanding of enterprise infrastructure, application architecture, data architecture, integration, networking, and security. Experience with cloud migration, hybrid-cloud environments, and application modernization. Knowledge of Infrastructure as Code tools such as Terraform, AWS CloudFormation, or similar technologies. Experience with CI/CD pipelines, GitOps, DevOps practices, and automated security controls. Working knowledge of Docker, Kubernetes, microservices, APIs, event-driven architecture, and serverless computing. Strong understanding of cloud security, IAM, encryption, network segmentation, compliance, and disaster recovery. Experience with cloud cost optimization, FinOps, vendor management, and architecture governance. Excellent analytical, problem-solving, communication, and stakeholder management skills. AWS Certified Solutions Architect - Professional or Associate. AWS Certified Security - Specialty. AWS Advanced Networking - Specialty. Microsoft Certified: Azure Solutions Architect Expert. Azure Security Engineer Associate. TOGAF certification or equivalent enterprise architecture experience. Additional certifications in cloud security, networking, Kubernetes, FinOps, or DevOps. Our client is a leading utilities sector Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description Position: Senior Full Stack Developer - Angular & Node/Java Location: Woodbridge, NJ or Jersey City, NJ (3 days onsite) Duration: 12+ months Contract Requisition Title Senior Full Stack Developer - Angular & Node/Java Project Description Title: The Senior Node.js Developer will work under minimal supervision and will develop, test, debug, and document web-based software components commensurate with their experience, and will work with senior development staff in support of a software engineering effort in a dynamic Agile/CI/CD-driven environment. Summary: The main function of a Node.js Developer with strong Object Oriented Programming design is to develop, create, and modify APIs and interfaces through an understanding of the business layer, leveraging Node.js on the backend and Angular on the frontend. The ideal candidate thrives in an Agile environment, is well-versed in CI/CD pipelines, and embraces modern development practices including AI-assisted coding tools and serverless architectures such as AWS Lambda. Job Responsibilities Engage with the business development team and/or customer early on to seek a deeper appreciation of the customers' business problem/goals Analyze user needs and software requirements to determine feasibility of design within time and cost constraints Coordinate software system installation and monitor equipment functioning to ensure specifications are met Design, develop, and modify software systems using Node.js and Angular, applying scientific analysis and mathematical models to predict and measure outcome and consequences of design Analyze information to determine, recommend, and plan computer specifications and layouts, and peripheral equipment modifications Actively participate in Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming Contribute to and champion CI/CD pipeline development, maintenance, and continuous improvement across the software delivery lifecycle Essential Job Functions Review and analyze complex process, system, and/or data requirements and specifications across a major program or project or several small projects or programs Serve as the technical subject matter expert for one or more areas (subsystems) for a larger system or multiple areas (subsystems) for smaller systems Serve as the primary designer for complex component designs for one or more areas (subsystems) for a larger system or multiple areas (subsystems) for smaller systems Build, test, deploy, and document complex software components using Node.js and Angular, following Agile methodologies and fully automated CI/CD workflows Experience working with the following technology stack: Node.js, NestJS / Express.js, Angular, TypeScript, Jest / Mocha (unit testing), PostgreSQL, Amazon Web Services (AWS), EC2, S3, Fargate, AWS Lambda, Jenkins, CloudFormation, CI/CD pipelines Design, develop, and deploy serverless functions using AWS Lambda with Node.js runtime, including event-driven integrations with AWS services (API Gateway, S3, SQS, DynamoDB, etc.) Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, GitHub Actions, or equivalent, ensuring fast, reliable, and automated software delivery Drive Agile best practices across the team, including iterative development, continuous feedback, and incremental delivery Create software engineering strategies that help identify and mitigate risks Lead other team members in peer review of code and identify reusable Node.js and Angular frameworks and design patterns Interface with other team members and other teams in peer review of requirements, specifications, and software Document and communicate development status in a timely manner including metric reporting Champion the collaborative resolution of defects Direct internal process improvement initiatives; provide feedback on processes by offering suggestions Mentor and supervise junior staff in project-level tasks, particularly around Angular, Node.js, AWS Lambda, Agile practices, and CI/CD workflows Participate in external process improvement committees as a Development representative Assist with adherence to technology policies and comply with all security controls Ensure all work products meet/exceed FINRA standards Education/Experience Requirements Bachelor's degree in Computer Science, Information Systems, or related discipline with at least seven (7) years of related experience, or equivalent training and/or work experience; Master's degree and past Financial Services industry experience preferred 3+ years of hands-on, production-level experience with Node.js (Express.js, NestJS, or equivalent frameworks) 3+ years of hands-on experience with Angular (v12+), including RxJS, Angular CLI, Angular Material, and TypeScript Hands-on experience with AWS Lambda and serverless application development, including integration with AWS event sources and infrastructure-as-code tools (CloudFormation, SAM, or CDK) Proven experience working in Agile/Scrum teams, including sprint-based delivery, story pointing, and iterative development cycles Demonstrated hands-on experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or equivalent tooling Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise-quality solutions Extensive knowledge of industry-leading software engineering approaches including Test Automation (Jest, Mocha, Jasmine/Karma), Build Automation, and Configuration Management frameworks Strong proficiency in TypeScript and modern JavaScript (ES6+) standards Experience with AI-based code assistance tools (such as GitHub Copilot, Amazon Kiro, or equivalent) in a professional development environment is strongly encouraged and viewed as a differentiator Background in Java development is a plus - candidates with prior Java or JVM-based experience who have transitioned to or are expanding into the Node.js/JavaScript ecosystem are highly encouraged to apply Strong written and verbal technical communication skills Demonstrated ability to develop effective working relationships that improved the quality of work products Well organized, thorough, and able to handle competing priorities Ability to maintain focus and develop proficiency in new skills rapidly Ability to work in a fast-paced environment Strong working knowledge of the Angular framework is required Strong working knowledge of Node.js for server-side development is required Knowledge of testing frameworks such as Jest, or Playwright is preferred

Job Description Apply Here: -train-engineer rte edison-nj-us Job Title: Release Train Engineer (RTE) Location: NJ -Edison NJ or NYC Hybrid: Mon&Fri Remote; Tues-Thurs Onsite Duration: Potential Temp to Perm Senior Release Train Engineer - Technology Operations & Portfolio - Field Experience Technology As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape client's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success. Role Overview: As a Senior Release Train Engineer within Field Experience Technology, you will lead the delivery practice for our most complex FX capabilities, helping teams plan realistically, deliver predictably, and release with confidence. You will facilitate the planning cadence, keep work flowing, and remove the impediments that slow teams down - so engineering time stays on building products for our advisors and clients. You will also set the bar for the Release Train Engineering community. Working across Delivery Operations, you will establish the standards for how we plan, release, and report, coach other Release Train Engineers, and represent delivery in leadership forums. You will own the rigor and data quality behind the delivery information leaders rely on. This is a senior individual contributor role. Your influence will come from credibility and partnership rather than reporting lines - shaping roadmap tradeoffs with product counterparts, challenging direction constructively, and helping FX Technology move from coordinating execution to informing strategy. What You'll Do: Reporting to the Technology Operations & Portfolio Leader, your primary focus will be to lead delivery execution for your assigned capabilities and to raise delivery practice across the community. In addition: You will facilitate planning and delivery events - including PI planning, backlog preparation, and retrospectives - so teams commit to achievable plans against known capacity. You will drive predictable flow by surfacing and removing impediments, managing dependencies and risks across teams, and resolving cross-capability dependencies and escalated risk that cannot be settled at the capability level. You will own release readiness for your capabilities and set the release standards other capabilities follow, coordinating the planning, approvals, and communication required to release with confidence. You will uphold change management standards across normal, standard, and emergency changes, so delivery meets the governance requirements of a regulated environment, and lead the exception and emergency paths when escalation is required. You will own the accuracy of delivery data and reporting for your capabilities, so that status, progress, and capacity information is reliable without teams rebuilding it by hand each cycle. You will partner with FX Capability Leads, product partners, and Planning Operations to connect demand and capacity - helping ensure incoming work is planned rather than absorbed mid-cycle, and influence roadmap tradeoffs and sequencing with senior product and technology leaders. You will define and steward consistent delivery practice across FX Technology, adopting and adapting shared Agile practices rather than building capability-specific approaches. You will coach teams and other Release Train Engineers on Agile ways of working and support continuous improvement. You will represent delivery in leadership forums, giving senior stakeholders a clear, risk-aware view of portfolio delivery health and challenging direction constructively where the plan and the capacity do not match. You will identify where AI and automation can remove coordination, reporting, and release overhead across capabilities, set that expectation for other Release Train Engineers, and make sure the capacity it frees is visible rather than quietly reabsorbed. What You'll Bring: You bring deep experience leading Agile delivery at scale, and the judgment to know when to facilitate, when to coach, and when to escalate. You are comfortable holding teams to a cadence while protecting them from churn, and you build trust quickly with engineers, product partners, and leaders alike. You think in terms of flow - where work is queuing, where handoffs cost time, and what would make the next release smoother than the last. Beyond your delivery experience, you communicate clearly with both technical and business audiences, stay organized across competing priorities, and treat reporting as a means to better decisions rather than an end in itself. You are credible in a room of senior leaders, comfortable disagreeing well, and motivated by raising the capability of the people around you. You use AI as a normal part of how you work, and you look for where it can take manual effort out of delivery rather than waiting to be asked. Required Skills: Bachelor's degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience. 9+ years of experience in Agile delivery, with demonstrated experience as a Release Train Engineer supporting multiple teams in a large enterprise. Experience facilitating planning cadences and release execution in a multi-team environment, including capabilities with significant complexity, regulatory exposure, or cross-team dependency. Strong working knowledge of Jira or equivalent delivery tooling, including the reporting and data hygiene that make delivery information trustworthy. Proven ability to manage cross-team dependencies, risks, and impediments through to resolution. Strong facilitation, communication, and stakeholder management skills across technical and business partners. Demonstrated experience with change and release management practices in a regulated environment, including ITIL-aligned change processes and supporting tooling. Demonstrated experience coaching or mentoring other delivery professionals, and influencing senior stakeholders without formal authority. Demonstrated use of AI tools to reduce manual delivery, reporting, or coordination effort, and the judgment to know where automation genuinely helps. Preferred Skills: SAFe Release Train Engineer certification (SAFe RTE) or equivalent scaled Agile certification; SAFe Practice Consultant (SPC) or equivalent is a plus. Experience in insurance, financial services, or another regulated industry. Familiarity with Lean Portfolio Management concepts such as demand shaping, portfolio flow, and capacity planning. Experience applying AI or automation tools to reduce manual reporting and coordination effort, including establishing practices others adopted. Experience with value stream or flow management tooling.

Job Description About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters

Job Description Job title:- SAP ISU Functional Billing & Invoicing Location:- Tampa, FL 33607 Duration:- 06 months Contract to perm with intent to convert to FTE Pay rate:- $51/hr. - $57/hr. on W2 Conversion Salary range :- $103-120K base salary + 10% STI bonus Job Description: Position Concept The SAP Functional Billing and Invoicing Consultant is responsible for translating the Business requirements of the Functional Area in two functional areas which is Billing & Invoicing and FICA or DM performing the duties of systems analysis, design, and development the SAP system via the SAP Configuration IMG (SAP Implementation Guide). This includes all aspects of project work, on-going functional enhancements, troubleshooting, and SAP provided system and/or legal changes. An SAP Senior Functional Analyst collaborates on all phases of the systems development life-cycle (SDLC) with a focus on the analysis, design, and development of configuration-based solutions. Must continuously maintain and develop the necessary skillsets, both technical and analytical to enhance value-added business solutions and in keeping with the IT architecture. Focus Areas • SAP ISU Billing and Invoicing • Print Workbench • SAP ISU Data Model The SAP Functional Billing and Invoicing Consultant is under minimal supervision, is responsible for all aspects of the Systems Development Lifecycle (SDLC) in relation to SAP Configuration activities. Primary Duties And Responsibilities • Implements software solutions for which in-depth configuration and integration is required; drives substantial interaction with vendor resources and integrates applications with complex interfaces based on specifications provided. • Hands-on experience in SAP IS-U Billing & Invoicing, with deep functional expertise across the meter-to-cash lifecycle in the utility industry (Electricity & Gas). • Expert in configuring and customizing billing master data i.e., billing schemas, rate modelling including complex billing, regulated and de-regulated tariff models. • Strong knowledge of the end-to-end billing and invoicing process including budget billing, RTP billing, TOU billing, mass batch jobs, exception management, bill simulation, unbilled revenue scenarios and collective billing. • Working knowledge of SAP ISU Bill Print, including Print Workbench configuration and integration with Smart Forms and Adobe Forms. • Experience collaborating with cross-functional teams including integration with Device Management and FICA. • Extensive functional and solution experience with the ability to facilitate, design, and develop complex solutions aligned with digital transformation initiatives. • Strong client-facing skills - ability to serve as a functional liaison between business and IT. Guide stakeholders on best practices. • Experience in SAP S/4 HANA utilities and Fiori; ability to analyze, debug and troubleshoot OData and web services used in integrations. • Participates on an Application Development and Support team as well as project teams under the direction of their Lead SAP Configurator, Manager or Project Managers. Functions as Technical Lead on projects; may lead multiple concurrent projects. • Subject matter expert in multiple business unit areas, including those relevant to projects and application support assignments. • Considered a subject matter expert in their technical discipline; mentors and guides junior staff. • Develops and drives standard practices within their team; collaborates with Business Systems Analysts and/or Business Partners to develop software specifications. • Acquires and maintains appropriate technical skills and mentors junior staff. • Participates in developing and driving standard practices within their team. • Supports the request and analysis phases of SDLC by assisting with documentation and estimates. • Executes the design, development, and implementation phases of SDLC by producing the prescribed deliverables; reviews deliverables produced by junior staff. • Liaises with business partners and business unit leads to conduct analysis and design efforts for future enhancements and configuration to meet changing policy and legislative requirements. • Maintains awareness of current trends in the business marketplace with a focus on product and service development, delivery and support, and applying key technologies. • Examine trends in information systems training, materials and techniques. • Coordinate system changes by identifying system requirements, definition, testing, training and implementation as well as provide specifications to work management systems, third party remittance, IT, and other areas of the organization. • Participates in business process modeling sessions, while assisting in the collection and consolidation of required information and data in the development of analysis documentation in accordance with the SDLC methodology. • Supports the creation of business process procedures for assigned business unit(s). • Develops strong business and system knowledge relating to functional areas and assigned business unit(s). • Supports the maintenance and evolution of the logical data model and business process model for assigned business unit(s). Provides input and direction on business unit technology strategies. • Provide training and guidance and oversee work of staff/AMS contractors to ensure quality results. • Development, growth, and mentoring of SAP Configurators. • Should be able to perform budget, forecast, and calculate the actuals for project and maintain financials. Supervision Direct Supervision: Provides no Direct Supervision but may be assigned a leadership role that could include overseeing junior and/or contract resources in absence of a manager or a lead. Qualifications Education Required: Bachelor's degree in information/computer science, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline Preferred: Master's degree in information/computer science, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline. Licenses/Certifications: Preferred: An SAP professional configuration certification in a specific discipline (e.g., CRM, DM, Billing/Invoicing, FICA) in addition to the requirements above. Direct Experience Required: • Eight (8) years of SAP configuration experience performing the duties of systems analysis, design, and development and Ten (10) years of SAP configuration experience in two functional areas which are Billing & Invoicing and FICA or DM performing the duties of systems analysis, design, and development Knowledge/Skills/Abilities (KSA) Required: Strong knowledge of business software applications and hardware technologies. Stays current with IT industry trends and emerging technologies; suggests and leads application of new technologies. Strong verbal, written, analytical, and interpersonal skills. Frequently presents information to their team, department, and business areas. Understands project plans and is able to clearly articulate their role, project goals, and timelines. Develops project plans for small projects; partners with Project Managers to develop project plans for large projects and assists Manager with resource management. Creates and reviews technical design specifications and possesses knowledge of development tools and technologies in support of the Information Technology Architecture. Proficient in the agile methodologies and If needed should be able to perform the role of scrum master. Need to have working knowledge with AMS such as review and approve the deliverables from the AMS and facilitate meetings between AMS and Business through regular periodic calls as needed. Preferred : Drives continuous process improvement for SDLC, maintenance, application support, and technology architecture.

Job Description Intellibus designs and engineers technology platforms for established FinTech and financial-services firms. We build production-grade systems that help organizations solve complex business problems through software engineering, data, and emerging technologies. We are looking for engineers who can turn AI capabilities into practical, reliable applications that deliver measurable business value. The AI Engineer Role Hands-on Senior AI Engineer with 12+ years of software engineering experience and strong expertise in Core Java, Spring Boot, enterprise backend development, microservices, Microsoft Azure, and Large Language Models (LLMs). This is a senior engineering position requiring someone who has spent years designing, developing, and deploying complex enterprise applications and has subsequently gained practical experience integrating AI and LLM capabilities into production systems. The ideal candidate is first and foremost a strong software engineer who understands enterprise application architecture, backend engineering, distributed systems, and cloud-native development, with substantial hands-on experience building AI-powered applications. You will be responsible for designing and developing enterprise AI solutions, integrating LLMs into existing applications, building intelligent workflows, and delivering production-ready systems within complex financial-services environments. Key Responsibilities Core Java & Enterprise Backend Engineering Demonstrate advanced hands-on expertise in Core Java, including OOP, Collections, Streams API, Multithreading, Concurrency, JVM fundamentals, and performance optimization. Design, develop, and maintain enterprise-grade backend applications using Java and Spring Boot. Build scalable RESTful APIs, microservices, and distributed applications. Implement complex business logic, enterprise integrations, asynchronous processing, and event-driven architectures. Work with Spring Security, Spring Data, Hibernate, JPA, and related frameworks. Apply appropriate design patterns, coding standards, and architectural principles. Troubleshoot complex production issues, optimize application performance, and improve system reliability. 2. Microservices & Distributed Systems Design and implement enterprise microservices architectures. Develop resilient, scalable, and loosely coupled services. Work with messaging and event-streaming technologies such as Apache Kafka. Implement service-to-service communication, API integrations, and asynchronous workflows. Understand distributed transactions, fault tolerance, circuit breakers, and high-availability architectures. Work with relational and NoSQL databases and optimize data access patterns. 3. AI & Large Language Model Engineering Design, build, and integrate LLM-powered applications into enterprise platforms. Work hands-on with commercial and open-source LLMs, including Azure OpenAI and other model providers. Develop LLM integrations using APIs, SDKs, and backend services. Build AI-powered workflows, intelligent automation, and agentic applications. Implement Retrieval-Augmented Generation (RAG) architectures. Work with embeddings, vector databases, semantic search, and enterprise knowledge retrieval. Develop prompt engineering strategies, structured outputs, function calling, and tool integrations. Implement LLM orchestration, context management, conversation memory, and multi-step AI workflows. Evaluate model responses for accuracy, relevance, hallucinations, and consistency. Implement guardrails, validation, security controls, and responsible AI practices. Optimize latency, token consumption, model performance, and inference costs. Take AI applications beyond prototypes and deliver reliable, scalable production solutions. 4. Microsoft Azure & Cloud Engineering Design and deploy enterprise applications and AI solutions on Microsoft Azure. Work with Azure OpenAI Service, Azure AI services, Azure App Services, Azure Functions, and related cloud services. Integrate AI services with enterprise applications, APIs, and data platforms. Work with Azure cloud architecture, networking, security, identity, and access management. Build and manage CI/CD pipelines and automated deployment workflows. Apply cloud-native engineering principles, scalability, monitoring, and reliability practices. 5. Python, Data Engineering & Enterprise Platforms Develop Python applications, services, and automation supporting AI workflows. Work with SQL, relational databases, and structured and unstructured data. Build data-processing and integration workflows supporting LLM applications. Work with PostgreSQL, Oracle, MySQL, or comparable enterprise databases. Experience with Microsoft Fabric, data engineering, and enterprise analytics platforms is preferred. Integrate enterprise data sources with AI models and retrieval systems. 6. Engineering Quality & Production Delivery Write clean, maintainable, testable, and production-quality code. Conduct code reviews and mentor other engineers. Develop unit, integration, and automated tests. Troubleshoot complex application and infrastructure issues. Implement application logging, monitoring, observability, and performance optimization. Collaborate with architects, engineering leaders, and business stakeholders to deliver enterprise solutions. Required Technical Qualifications 12+ years of professional software engineering experience. Strong recent hands-on development experience in enterprise software engineering. Proven experience designing and delivering complex production applications. Practical experience building and deploying AI/LLM-powered applications. Core Java & Backend Advanced Core Java and Spring Boot expertise. Strong understanding of OOP, Collections, Streams, Multithreading, Concurrency, and JVM. Extensive experience with REST APIs, microservices, Spring Framework, Hibernate, and JPA. Strong understanding of enterprise application architecture and distributed systems. AI & LLMs Demonstrated hands-on experience integrating LLMs into enterprise applications. Experience with Azure OpenAI or comparable LLM platforms. Strong understanding of RAG, embeddings, vector databases, prompt engineering, and LLM orchestration. Experience building AI agents, tool calling, and intelligent workflows is highly desirable. Experience deploying and maintaining AI applications in production is strongly preferred. Azure & Cloud Strong experience with Microsoft Azure and cloud-based application development. Experience integrating Azure AI services with enterprise applications. Familiarity with cloud security, identity, deployment, and monitoring. Additional Skills Working knowledge of Python. Strong SQL and database development experience. Exposure to Microsoft Fabric and enterprise data platforms. Experience with Kafka, Docker, Kubernetes, and CI/CD pipelines. What We Are Looking For We want engineers who: Have spent 12+ years building enterprise software applications. Are deeply hands-on with Java, Spring Boot, and backend engineering. Understand how large-scale enterprise applications are architected and implemented. Have moved beyond AI experimentation and have built actual LLM-powered applications. Can independently design, code, debug, and deploy complex solutions. Understand how to integrate AI capabilities into existing enterprise systems. Can take ownership of technical deliverables and work effectively with senior engineering teams. Important: Candidates whose experience is primarily prompt engineering, Python scripting, AI tool usage, academic research, or AI-generated code without strong enterprise software engineering fundamentals will not be suitable for this position. Compensation: $75 - $85 / Hour Our Process Initial Screening: 15-minute video call with the Recruiting Team. Assessments: One proctored GQ multiple-choice assessment and a SlideWare presentation (under 2 hours). Interview Rounds: Three 30-minute video interviews with the Technical Team, Project Lead, and Executive Team. Offer: Final decision and job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.