218 jobs found

Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.

Job Description Role Summary We are seeking a senior, hands-on GECX Architect to design and implement secure, scalable customer experience solutions on Google Gemini Enterprise for Customer Experience platform. The ideal candidate will combine strong architecture design and coding expertise with deep Contact Center, Google GECX/CCAI, Conversational AI, Agentic AI, GenAI/LLM, and Google Cloud experience. This role requires an innovative architect who can build PoCs and accelerators, troubleshoot complex integrations, and take automation solutions from architecture through production implementation. The architect will analyze requirements, compare solution options, recommend the best approach, guide the team, and personally resolve critical design, development, integration, and platform issues. Key Responsibilities Architect end-to-end GECX solutions across voice, chat, web, mobile, and assisted-service journeys. Translate contact center needs into architecture, technical designs, integration patterns, and delivery plans. Compare Google-native, CCaaS, open-source, and third-party tools; recommend options based on fit, security, scalability, cost, and risk. Build and deploy Agentic Voice and Chat solutions using CX Agent Studio, Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP. Design and implement multi-turn conversations, prompts, orchestration, tool calls, fulfillment, context handling, grounding, and human-agent handoff. Design integrations with IVR, telephony, CCaaS, CRM, APIs, databases, and enterprise systems, including SIP/SIPREC, gRPC, and WebRTC where required. Implement GCP components such as Cloud Run, Cloud Functions, BigQuery, Cloud Storage, IAM, logging, monitoring, and data protection services. Working knowledge implementing Services, Components through GCP Stack like GCS, DLP Templates, Cloud Functions, Big Query etc. Working experience with collecting and reviewing reporting data/logs from Google Logs Explorer (Stack Driver), Google Big Query, Avaya, GTP, MS SQL. Lead hands-on coding, configuration, PoCs, troubleshooting, CI/CD, deployment, and production stabilization. Define AI evaluation for task success, response quality, grounding, hallucinations, guardrails, tool use, and agent trajectory. Guide teams, review designs and code, remove technical blockers, and ensure solutions reach production. Required Skills & Technology 12+ years in solution architecture and engineering, including enterprise contact center, conversational AI, or AI/ML delivery. Hands-on expertise in GECX / Customer Engagement Suite, Google CCAI, CX Agent Studio / Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP. Experience building Agentic Voice or Agentic Chat solutions using LLMs, orchestration, tool/function calling, grounding, guardrails, and enterprise integrations. Strong contact center knowledge: IVR, CTI, routing, queues, transfers, SIP, ANI/DNIS, DTMF, STT/TTS, and CRM/backend integration. Strong Python and/or Java skills, REST/JSON APIs, SQL, Git, CI/CD, cloud troubleshooting, IAM, and secure delivery. Ability to conduct structured tool assessments, make architecture decisions, lead cross-functional teams, and communicate with client stakeholders. Strong verbal and written communication skills. Ability to collaborate with onshore/offshore resources on functional/technical /process aspects. This is not a governance-only role. The architect must remain hands-on and own critical solutions through production. Preferred Qualifications Google Cloud certification, preferably Professional Cloud Architect or a role-relevant equivalent. Experience delivering large-scale CCaaS, contact center transformation, or production agentic AI programs. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Job Description Role : Senior Business Analyst with Test Automation Expert (JavaScript, PlayWright, Puppeteer/Selenium).Only w2 Work Location : Fort Collins CO(Only Locals) Working Mode : 5 Days Onsite Minimum 10+ Years of Experience required. Skills and Experience: • Experience should have 10+ Yrs of Business Analyst with a strong test automation expert. • Deep knowledge of web technologies: JavaScript, the DOM, Node.js, and modern web frameworks. • Hands-on experience with web automation tools such as Playwright, Puppeteer, or Selenium. • Creative, methodical troubleshooter who can isolate failures by iteratively testing components across a complex, multi-system stack. • Coding-agent-first approach to software engineering, using tools like Claude Code as the default way to analyze, build, and fix. • Able to self-prioritize across competing engineering and business signals to maximize business outcomes. • Comfortable translating technical results into clear, actionable recommendations for non-technical stakeholders. • Payments domain familiarity (virtual cards, card acceptance, biller fees) is a plus. • Maintain and improve success rates across Client's automated payment platform, prioritizing billers by revenue impact. • Identify billers whose automation is no longer viable for engineering or business reasons (unsupported flows, card fees) and recommend routing or blocking decisions. • Provide regular, actionable updates to Client's business team that drive revenue optimization from automated payments. • Move automation result analysis, triage, troubleshooting, and development to an AI-first operating model, reducing dependence on any single engineer. • We are looking for someone who is very proactive in looking at failures, optimizations for one of our products (FusePay / Spectrum). If I missed your call ! Please drop me a mail. Thank you, Harish Jannela Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080

Job Description Senior Technical Project Manager / Program Manager (Legacy Modernization) Department: Enterprise Application Modernization / Program Management Office (PMO) Project: Mainframe Case Management to Salesforce) Dedicated Tool Stack: Salesforce (Service Cloud / Case Management) Informatica Automic (Atomic) Scheduler MuleSoft Relational Databases (SQL) Mainframe Location: Phoenix, Arizona Position Overview We are seeking a high-caliber Senior Technical Project Manager / Program Owner to serve as the single point of leadership ("Commander-in-Chief") for the modernization of our legacy mainframe case management system, Mainframe , into Salesforce . This role blends executive program management, financial stewardship, product ownership, and hands-on technical fluency. You will own the program budget, drive vendor/resource allocations, steer executive stakeholders, and publish transparent weekly reporting. Critically, you must possess the technical acumen to understand and triage architectural roadblocks across our modernization stack-including Salesforce governor limits , Informatica data conversion pipelines , MuleSoft API interfaces , Automic batch schedules , and QA/UAT defect trends . Key Roles & Responsibilities 1. Executive Leadership & Stakeholder Management Serve as the central authority and primary escalation point for all business sponsors, agency executives, operations directors, and technical leads. Manage competing priorities among disparate stakeholder groups, aligning operational casework requirements with enterprise IT standards and budget guardrails. Lead weekly steering committee meetings, executive briefings, and program governance reviews. Author and distribute comprehensive weekly executive status reports, program health scorecards (budget, schedule, scope, quality), and actionable RAID (Risks, Assumptions, Issues, Dependencies) logs. 2. Budget, Financial Governance & Resource Management Own the total cost of ownership (TCO) and capital expenditure budget for the modernization initiative. Track project burn rates, financial forecasting, invoice reconciliation, and cost variance analysis against planned baselines. Oversee resource planning and vendor performance, ensuring systems integrators, contractors, and internal engineering teams hit delivery milestones within contracted hours. Manage contract deliverables, change requests (CRs), and statement-of-work (SOW) compliance. 3. Technical Literacy, Workstream Triage & Issue Resolution Lead technical triage sessions and cut through complexity to resolve cross-workstream bottlenecks: Salesforce: Understand architecture constraints, customization vs. out-of-the-box trade-offs, security/sharing complexities, and deployment blockers. Informatica & Staging: Comprehend data migration throughput issues, mapping bottlenecks, transformation errors, and legacy conversion exceptions. MuleSoft Interfaces: Understand payload failures, endpoint connectivity, API latency, and contract alignment between systems. Automic (Atomic) Batch Schedulers: Track batch window run times, job failure dependencies, and automated alerting hurdles. QA & Defect Triage: Chair defect triage boards with QA leads, developers, and BAs; enforce severity/priority standards to unblock test execution and UAT. 4. Product Ownership, Scope & Roadmap Governance Define and defend the project roadmap, distinguishing critical Minimum Viable Product (MVP) capabilities from post-launch enhancements. Own scope control: evaluate proposed business changes against budget, technical debt, and cutover timelines to prevent scope creep. Partner with the Salesforce Agile BA to ensure user stories, technical enablers, and acceptance criteria meet strategic business objectives. Make authoritative decisions on legacy data conversion cutoffs (e.g., determining what volume of historical cases convert vs. archive). 5. Delivery, Cutover & Release Governance Maintain an integrated master schedule (IMS) aligning Agile sprint cycles with rigid waterfall milestones (procurement, cutover gates, regulatory audits). Plan and direct dry runs, volume performance testing, and mock cutovers leading up to final production deployment. Author the executive go/no-go criteria and command the cutover war room during production release windows. Qualifications & Skill Requirements Core Experience & Leadership Enterprise Modernization Track Record (8+ years): Proven experience leading large-scale, complex software delivery programs, specifically legacy mainframe-to-cloud core replacements. Proven background managing projects with budgets exceeding 5M-15M+. Dual PM / Product Owner Capabilities: Demonstrated ability to pair traditional PM rigor (budgets, schedules, risk registers, executive status decks) with Agile product ownership (backlog prioritization, MVP definition, trade-off analysis). Technical Breadth & Stack Fluency: Solid working knowledge of the modern integration and data landscape; ability to lead architectural discussions without needing code-level expertise. Direct project experience involving Salesforce (preferably Service Cloud or large Case Management engines). Direct project experience involving enterprise ETL tools ( Informatica ), middleware/APIs ( MuleSoft ), batch schedulers ( Automic / UC4 ), and legacy Mainframe extraction/conversion. Financial & Contractual Acumen: Expertise in project accounting, Earned Value Management (EVM), vendor milestone validation, and resource forecasting. Professional Competencies Executive gravitas: capable of commanding meetings with C-suite stakeholders and pushing back diplomatically on unrealistic demands. High crisis tolerance: calm under pressure when high-severity defects or cutover delays emerge. Master-level written and visual reporting skills using Jira, Confluence, Microsoft Project/Smartsheet, and executive presentation tools. Preferred Certifications Project Management Professional (PMP) or Program Management Professional (PgMP) Certified Scrum Product Owner (CSPO) or PMI-Agile Certified Practitioner (PMI-ACP) Salesforce Certified Associate or Salesforce Certified Administrator (demonstrating platform literacy)

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 Senior Full Stack Developer - React / .NET Employment Type: W2 Only Experience: 8-12 Years Location: Charlotte, NC Duration: 18-24 Months Position Overview We are seeking an experienced Full Stack Developer with strong expertise in React, .NET, and database technologies to join an internal application development team at a leading financial services organization. This team focuses on building and developing new internal tools and applications used across the organization. The ideal candidate will have a strong background in front-end development, backend engineering, and data analytics, with experience building applications that leverage complex datasets and support high-visibility dashboards. Candidates should be comfortable working across the full development lifecycle, collaborating with technical teams and business stakeholders to design, build, and maintain scalable applications. Key Responsibilities Develop and enhance internal applications and tools using React and .NET. Build responsive, user-friendly front-end interfaces using React. Develop backend services and application functionality using .NET. Design, integrate, and maintain REST APIs. Work extensively with PostgreSQL databases, including querying, data management, and optimization. Build and maintain data-driven applications and high-visibility dashboards. Integrate data and analytics capabilities into application development. Collaborate with developers, architects, and business stakeholders to understand requirements and deliver technical solutions. Troubleshoot application and database issues and ensure performance, scalability, and reliability. Contribute to the design and development of new internal tools and applications. Required Qualifications 8-12 years of professional software development experience. Strong hands-on experience with React (approximately 65% of the role). Strong experience with .NET (approximately 35% of the role). Solid experience with PostgreSQL and relational databases. Experience developing and integrating REST APIs. Strong database and data analytics background within application development. Experience building or maintaining data-driven applications and dashboards. Ability to work across front-end and backend development. Strong problem-solving, communication, and collaboration skills. Preferred Experience Previous experience building internal enterprise tools or applications. Experience developing analytics-focused applications and dashboards. Financial services or banking industry experience. Experience working with large datasets and complex database environments.

Job Description Senior Software Engineer, Backend - Booking Platform & APIs New York, NY We are representing a client that is hiring a Senior Software Engineer to lead the technical work and be the primary hands-on builder for our API. In your first year, multiple distribution partners and an authorized AI agent should complete real bookings through the same versioned API. You will evolve a production Rails and Postgres booking system used by millions of guests. The hard work is keeping prices and inventory correct, preventing overselling, surviving retries and partial failures, and reconciling systems when they disagree. Your ownership and team You will own the API's day-to-day technical roadmap and design decisions. In this hands-on individual contributor role, you will write production code, lead focused designs, guide migrations, and operate what you build. You will partner with our Staff Engineer on foundational domain and architecture choices. You will be the primary builder, but you will not work alone. Other backend engineers will contribute and build supply, PMS, and POS connectors using the patterns you establish. Product, Partnerships, and hotel operations will work with you from requirements through production launch. This is one of our highest-impact technical bets. What you build will determine how quickly Our client can enter new booking channels and categories. This role works from our NYC headquarters four days per week. The base salary range is $190,000-$210,000, plus equity, based on experience. What you'll do Build and launch the external Client API. Define stable, versioned contracts for live pricing, availability, holds, booking creation, changes, and cancellations. Make booking operations safe under real failures. Design idempotency, recovery, webhooks, and reconciliation for retries, timeouts, duplicates, and partial success. Evolve the core booking domain. Create clear models and invariants for products, schedules, prices, inventory, holds, carts, and bookings. Make the platform extensible. Prove that a new category such as events or food and beverage can use the shared booking model instead of requiring a separate system. Own the architecture for supply, PMS, and POS integrations. Create reusable connector patterns so other engineers can add partners without reinventing failure handling and reconciliation. Define the data contracts that keep inventory discoverable through OpenSearch. Search is supporting technology for this role, not its primary ownership area. Operate what you build. Set reliability and latency targets, and add the tests, metrics, dashboards, alerts, tracing, and runbooks needed for a critical booking path. Turn partner needs into durable platform capabilities, explain tradeoffs clearly, and raise the engineering bar through practical reviews and mentoring. How we ship We move quickly by building quality from the start. A change is done when it is tested, deployed, observable, and safe to roll back. We use AI tools aggressively, but engineers remain accountable for architecture, correctness, and production outcomes. Tech stack Backend: Ruby on Rails, Node.js Data: Postgres, MongoDB Search: OpenSearch APIs and integrations: REST, OpenAPI, webhooks Infrastructure and observability: AWS, Datadog Testing: RSpec, Playwright Who you are We encourage candidates to apply even if they do not match every line below. You have 6+ years of software engineering experience, or a track record of equivalent impact. You have designed transactional systems, built external APIs or integration platforms, and safely evolved data models in production. You understand relational modeling, concurrency, consistency, asynchronous workflows, and distributed failures. You turn complex business rules into clear boundaries, lifecycle states, contracts, and invariants. You can lead an important system as its primary builder while collaborating on foundational decisions. You care about correctness, testing, observability, and safe rollouts. You communicate directly, listen well, and improve the work of engineers around you. Ruby on Rails experience is useful, but not required. Experience with marketplaces, reservations, inventory-constrained commerce, public APIs, or third-party booking systems is also helpful. We care most about your backend judgment, track record, and ability to learn. What success looks like in 6-12 months Multiple distribution partners and an authorized AI agent complete real bookings through one reusable API. The full booking lifecycle meets agreed targets for correctness, success rate, latency, overselling, recovery, and reconciliation. Reusable contracts and connector patterns materially reduce the work required to onboard the next partner. The shared booking model supports at least one new category without a separate booking system. As the API becomes a company-wide platform, this role can grow toward Staff through demonstrated impact across the booking domain, integrations, and distribution. Benefits Health, dental, and vision coverage, with our client contributing to monthly premiums Stock options 401(k) plan Unlimited paid time off Paid parental leave

Job Description Reports To: Chief Technology Officer Location: Remote (United States; Eastern, Central, or Mountain time zone preferred) Department: IT/Engineering Classification: Full-Time, Exempt About Student First Technologies Student First Technologies builds Theodore, the platform behind education funding programs across the country. Scholarship-granting organizations, state agencies and nonprofits use it to run Education Savings Accounts, tax-credit scholarships and family grants, from application and eligibility through disbursement and reporting. Over more than a decade, Theodore has administered over $1.3 billion in education funds for more than 300,000 students and families in 15+ states. We believe every child is unique and deserves an education tailored to their gifts and talents. Our software makes that possible at scale: it gives programs the guardrails the law requires, and gives families, schools and vendors an easy way to take part. When a family is approved for a scholarship or pays a tutor from their ESA, that runs through our code. The work is growing. ESA programs are expanding fast, and the new federal scholarship tax credit takes effect January 1, 2027, bringing donor-funded scholarships to every state that opts in. Programs trust us with public funds and family data, so we hold a SOC 2 Type 2 certification and are audited every year. We're a small engineering team behind a large, mature Ruby on Rails application that's in active transition toward modern Rails conventions. That makes this a good place for engineers who like improving real systems while shipping real features. The Role You'll own features end to end in Theodore, our Rails monolith. That means reading a state's program rules, designing the data model, shipping the change, and answering the support question two weeks later. You'll work closely with product and program operations, and leave each part of the codebase a little better than you found it. You'll weigh in on architecture, while our Staff engineer sets direction across the whole system. What You'll Do Build and maintain features across our portals for families, schools, vendors and program administrators. Turn program rules (eligibility, award amounts, approved expenses) into configuration and code that differs by program. Build features that move real money through our banking integrations: ACH disbursements, virtual card payments, reimbursements and reconciliation. Correctness matters more than speed here. Build auditable systems that track every dollar in a ledger and record who changed what, and why. Protect sensitive family data, including financial and personal records, in everything you build. Write thorough RSpec tests, and improve the coverage and reliability of the ones we have. Modernize older code toward current Rails conventions, both as part of feature work and as dedicated projects. Review pull requests with care, and write your own so they're easy to review. Take turns on business-hours triage: investigate production issues, trace them through logs and data, and fix the root cause. What You'll Bring 5+ years building and maintaining production web applications, ideally including several years of Ruby on Rails. Strong SQL and PostgreSQL skills: you can read a query plan, write a safe migration on a large table, and model data that has to stay consistent. Comfort with server-rendered Rails (ERB and Stimulus), plus plain JavaScript and CSS. A testing habit. You write specs because they let you change code safely, not because CI requires them. Experience working in a large codebase you didn't write, and judgment about when to refactor and when to leave it alone. Experience working on a remote team. Clear written communication. Most of our collaboration happens in tickets, pull requests and Slack. We prefer Rails experience, but we'll consider strong engineers from other web stacks, such as Python/Django, PHP/Laravel, or JavaScript/Next.js, who are ready to get productive in Rails quickly. Nice to Have Experience with payments, banking or fintech, such as banking API integrations, ACH, card issuing, ledgers or reconciliation. Experience building multi-tenant SaaS. Experience running background jobs and third-party API integrations at scale. Experience with edtech, government or nonprofit software. Experience with Hotwire and/or ReActionView. Experience with Heroku, AWS and GitHub Actions. How We Work Every change goes through a pull request with review and a passing CI run. Work is tracked in Asana and discussed in Slack; we write things down. We ship small, safe changes frequently, and document every release for compliance. We use AI coding tools every day, but a person owns every line we ship. Whether an agent wrote the code or you did, you're expected to understand it, test it and stand behind it. Work Environment Fully remote within the United States. The team meets in person about once a quarter for a few days of team-building. Other travel, such as for a client meeting, is rare. The company pays for all work-related travel. Engineers are rarely expected to attend client meetings. Primarily computer-based work, including extended periods of reading code and documentation and participating in video meetings. We believe that healthy conflict produces great work, and strive to create opportunities for everyone, regardless of role or seniority, to share their knowledge and perspective toward that end. Benefits Flexible time off with no set cap. We want you to take the time you need to rest and recharge. Health insurance, including HSA- and FSA-eligible plan options. Dental and vision insurance. Life insurance. Short-term disability, fully paid by the company. Hospital, critical illness and accident insurance. Equal Opportunity Student First Technologies is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected characteristic. This description reflects the role's current responsibilities, which may change as the company evolves.

Job Description Senior Full Stack Developer (Python / React) - TS/SCI with CI Polygraph Bethesda, MD or McLean, VA About the role Join a high-performing development team that reports directly to senior executives in the Intelligence Community. The team builds the environment and applications that put business data and analytics to work. This is a hands-on development role. We're looking for a senior engineer who can raise the technical bar on a team of strong junior and mid-level developers. What you'll do Design, build and maintain full stack applications that turn business data into analytics and decision-support tools. Develop back-end services and data pipelines in Python and front-end interfaces in TypeScript and React. Work with PostgreSQL databases and AWS-hosted environments. Contribute hands-on code every day, and also set technical direction, review code and mentor teammates. Work directly with the customer and stakeholders to turn their needs into working software. Tech stack (not all required) Back end: Python, Flask, SQLAlchemy, Pandas Front end: TypeScript, React, PrimeReact Data: PostgreSQL Cloud: AWS Required qualifications Active TS/SCI with a CI polygraph Senior-level experience in full stack software development Strong Python and TypeScript/React experience, Experience with relational databases Ability to work on site in Bethesda, MD or McLean, VA

Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.

Job Description Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight - the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms - from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered - at a startup, at a large company, or somewhere in between - and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture Build scalable frontend platforms using React, Next.js, and TypeScript. Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns. Develop reusable component systems and scalable frontend frameworks. Backend Engineering Build backend services using Node.js and NestJS. Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems. Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems. Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments. Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: You have designed and operated event-driven distributed systems that process high-volume real-time data. You have a deep understanding of algorithms, data structures, and time complexity - and you apply that understanding to build systems, not just pass interviews. You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production. You have hands-on experience with message queues, streaming platforms, and asynchronous workflows - Kafka, Azure Service Bus, BullMQ, or similar. You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability. You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure. You design systems end-to-end and take ownership of architecture and production outcomes - not just the code you wrote. You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making. You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3 Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM Event-Driven: Kafka, Azure Service Bus, Azure Event Grid Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux Data: SQL, NoSQL, Azure Data Fabric Compensation: $75 - $85 / Hour Our Process 15-minute video call with someone from our team 4 Proctored GQ Tests (under 2 hours) 30-45-minute final video interview 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.

Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details

Job Description Solution Architect - Digital Asset Management (DAM) / Content Supply Chain Work Arrangement: Onsite highly preferred; exact site & attendance requirements to be confirmed Platform Preference: Aprimo DAM preferred; Adobe DAM experience acceptable for consideration Current Project Phase: Discovery, architecture blueprinting, proof-of-concept, requirements-gap analysis, and scope definition Purpose: Lead the architectural definition of a major enterprise DAM and Content Supply Chain initiative. Establish the foundation for how digital assets and content capabilities will be managed, integrated, governed, and expanded across the enterprise. Overview Client is seeking a senior Solution Architect to lead the end-to-end solution definition for its Digital Asset Management (DAM) and Content Supply Chain initiative. The immediate assignment focuses on discovery, architectural blueprinting, proof-of-concept evaluation, migration assessment, identification of requirements gaps, and definition of the minimum viable product (MVP) and longer-term platform scope. The main MVP implementation is planned for the following project year. This position is therefore focused initially on architecture and technical definition rather than production implementation or detailed API and ingestion development. The Solution Architect will own the overall solution perspective, define how DAM capabilities fit into the broader enterprise ecosystem, and determine the architectural approach for current upstream integration requirements. The architect will also assess existing asset repositories and capabilities, define future migration considerations, and establish a scalable architecture that can support downstream content distribution in subsequent phases. The DAM platform has not yet been selected. Aprimo is currently preferred, while candidates with strong Adobe DAM architecture experience may also be considered. This is a senior architecture ownership position. The Tech Lead / Engineering Lead will work under the architect's technical direction, supporting detailed technical design, proof-of-concepts, and subsequent implementation and release activities. Objectives 1. Establish the End-to-End DAM and Content Supply Chain Solution Blueprint. Lead architecture discovery and develop the target solution blueprint for DAM and Content Supply Chain initiative. Define the major solution components, capability boundaries, integration relationships, metadata and governance considerations, and enterprise architecture dependencies in collaboration with Product, BTA, enterprise architecture, security, and engineering stakeholders. Clearly distinguish the capabilities required for the initial MVP from those intended for subsequent phases and document significant design alternatives and technical decisions. Success will be measured by stakeholder acceptance of the proposed architecture blueprint, resolution or documented disposition of priority architectural questions, and agreement on the initial MVP architectural scope. 2. Evaluate DAM Platform Options and Define the Preferred Technical Direction. Support technical evaluation of Aprimo and Adobe DAM solutions against agreed business requirements, enterprise architecture standards, integration needs, and future scalability expectations. Assess relevant platform capabilities, customization implications, technology dependencies, architectural constraints, and potential migration considerations without assuming that the final product decision has already been made. Lead or guide focused technical proof-of-concepts where additional evidence is required and document the implications of each platform choice for the overall solution. Success will be measured by completion of agreed platform evaluation deliverables, documented technical trade-offs, and an architecture recommendation or decision record accepted by the responsible stakeholders. 3. Define the Upstream Integration and Migration Architecture. Establish the high-level architectural approach for integrating upstream content sources and enterprise capabilities with the future DAM solution. Assess existing assets, repositories, metadata structures, content workflows, and relevant migration dependencies, including systems such as SharePoint, Amazon S3, and Dropbox where applicable. Define the conceptual integration patterns, migration considerations, system boundaries, and governance requirements needed to support the agreed MVP while deferring detailed production API and ingestion implementation to the appropriate delivery phase. Success will be measured by acceptance of the upstream integration architecture, completion of the agreed migration assessment. 4. Define the MVP Roadmap and Scalable Future-State Architecture. Consolidate discovery findings, proof-of-concept results, requirements gaps, and architectural dependencies into an actionable MVP technical roadmap. Establish the future-state architectural principles needed to support enterprise scalability, security, content rights, lifecycle management, and eventual downstream distribution to systems such as GMA, MCDP/Braze, Digital Menu Boards/Coates, kiosks, and POS. Clearly distinguish immediate upstream integration priorities from downstream capabilities that may be considered in 2027 or 2028 and guide the Tech Lead on the engineering implications of the approved design. Success will be measured by acceptance of the MVP architecture and roadmap, documentation of priority risks and dependencies, and agreement on the major technical decisions required before implementation begins. Critical Subtasks 1. Conduct Enterprise DAM Discovery and Capability Assessment. Review current DAM-related business needs, existing content capabilities, repositories, enterprise architecture standards, and identified stakeholder requirements. Facilitate discovery sessions with Product, BTA, enterprise architecture, security, data governance, and engineering representatives to understand current-state constraints and desired outcomes. Document the major capability gaps, architectural dependencies, and unresolved technical questions that will influence solution design. Success will be measured by an accepted discovery summary, a prioritized requirements-gap register, and agreement on the architectural areas requiring further investigation. 2. Evaluate DAM Platform Capabilities and Technical Feasibility. Assess Aprimo and Adobe DAM capabilities against the relevant functional, integration, governance, and enterprise technology requirements. Evaluate platform architecture, extension capabilities, technology-stack implications, and the degree to which each option supports the anticipated Content Supply Chain operating model. Guide technical demonstrations or proof-of-concepts to address material uncertainties and document the results for decision-makers. Success will be measured by completion of agreed evaluation criteria. 3. Develop the Target Architecture and MVP Capability Blueprint. Translate discovery findings and platform evaluation results into an end-to-end solution architecture. Work with the Tech Lead and enterprise architecture stakeholders to validate feasibility, identify technical dependencies, and separate MVP requirements from future enhancements. Success will be measured by approval of the target architecture artifacts, documented capability boundaries, and agreement on the MVP architectural baseline. 4. Assess Existing Asset Repositories and Migration Requirements. Evaluate the architectural implications of existing digital assets, repositories, metadata models, content workflows, and related enterprise capabilities. Identify migration and coexistence considerations, including data quality, metadata mapping, content ownership, rights preservation, and dependencies between current and future platforms. Define a high-level migration strategy and identify technical investigations required before a detailed migration plan can be finalized. Success will be measured by acceptance of the migration assessment, documentation of major migration risks, and agreement on the recommended next-phase approach. 5. Define Upstream Integration Architecture and Validate Key Assumptions. Establish the solution-level integration approach for upstream enterprise capabilities that will supply or manage content within the DAM ecosystem. Define system responsibilities, conceptual data flows, architectural integration patterns, governance considerations, and major interface dependencies while collaborating with the Tech Lead on feasibility assessments. Use targeted proof-of-concepts to validate complex assumptions rather than committing the team to detailed downstream or production integration development during discovery. 6. Finalize MVP Scope, Architecture Decisions, and Implementation Readiness. Consolidate architectural decisions, requirements gaps, platform considerations, migration findings, and upstream integration dependencies into an agreed technical definition for the planned MVP. Partner with Product, BTA, enterprise architecture, and the Tech Lead to establish a phased implementation roadmap, future-state design principles, and the key non-functional requirements that engineering must address during delivery. Document deferred downstream capabilities separately, including potential integration work, and identify the decisions required before full implementation begins. Requirements: Senior Enterprise Architecture Experience: 10+ years of solution or software architecture experience . click apply for full job details

Job Description About Terrakotta Terrakotta builds software for commercial real estate brokers. Our product helps brokers find opportunities, connect with the right people and close more deals. Our customers are brokers and brokerage teams. Their day is calls, owners and listings, and every hour our tools save goes back into deals. The role You will own large parts of the product that brokers use every day, from the database to the screen. You take a vague customer problem, shape it into a plan, ship it, and watch the numbers after it lands. This is a full-stack, high-ownership role on a small team. You work directly with the founders and with customers, and you ship to production several times a week. You also set the bar for code quality, reliability and review for the engineers around you. What you will work on You will build and improve the core tools brokers use every day, across the frontend, the backend and the integrations that connect them. Expect a wide range of problems, from user experience to data and reliability. What we look for 5+ years of professional software engineering, including shipping customer-facing product end to end. Strong in Python and in React with TypeScript. Production experience on AWS. You build reliable systems that integrate with third-party APIs. You own outcomes: you talk to users, read the data and change course when needed. Clear written communication and thoughtful code review. Nice to have Experience at an early-stage startup. Experience building B2B or SaaS products. Our stack Python, React and TypeScript, on AWS. How we work and what we offer Small team, short path from idea to production. We ship several times a day. A high bar for testing and code review. AI coding tools are part of the daily work. Competitive salary and meaningful equity. Location, salary range and benefits: to be confirmed before posting. To apply, send your resume and a short note about a product you built and what you would change about it now. Expected Salary Range 130k-160k base