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Designs, develops, and supports the credit union's core banking platform and enterprise applications: building secure APIs, SDK-based solutions, scripts, and SQL data/reporting solutions, automating processes, and leading system implementations and integrations. On-site at the Monroe, MI main office, reporting to the CTO.
Nicolet National Bank is hiring a Summer 2027 Data Analytics Intern at its Green Bay Technology Center to support data management, dashboard design, and ad-hoc analytics across bank lines of business. The role works with tools like SQL, Python, R, Tableau, Power BI, and Alteryx and targets students pursuing a Data Analytics or Finance degree.
Senior backend developer evolving, maintaining and building core applications on mainframe architecture for a strategic project at a leading banking multinational, ensuring stability and continuity of critical services. Core tech: COBOL, DB2, z/OS, JCL, CICS, with telework options and flexible hours.
Remote Backend Developer at Akeshya building backend services for Finance and Reader applications: designing secure APIs for authentication, payments, subscriptions and finance workflows, modeling databases with Postgres/Redis, and integrating financial APIs (BSE Star MF, NSE) and DRM services. Core stack: Node.js, Python (FastAPI), or Java Spring Boot.
Staff software engineer at Lower, a digital mortgage fintech, building scalable full-stack systems (TypeScript, React, Next.js, Node.js, C#/.NET, Go, Postgres, AWS) that power home lending and AI-assisted experiences. Hybrid role based in Columbus, OH (preferred) or Austin, TX, with full ownership of features from design through production support.
Ridgeline is hiring an Engineering Manager to lead the UI Framework team, which builds the foundational front-end platform — shared framework, build/deploy tooling, and lightweight backend services — that product engineers rely on. The role blends people management with deep hands-on work in TypeScript/React, bundlers like Webpack/ESBuild/Bun, CI/CD, Node.js, and AWS, with a focus on AI-assisted d
Lead functional QA for Zafin's banking and AI platforms: own end-to-end manual and automated testing of backend workflows, batch jobs, APIs, and data validations. Works heavily with SQL, Postman, Kafka, CI/CD tooling, and automation frameworks like Selenium, Playwright, Java, and Python.
Full stack engineer on Block's Justice Engineering team, building and operating services that automate how Block responds to legal requests (subpoenas, levies, liens) — spanning backend microservices, internal web tools, and integration pipelines — using Ruby on Rails, Java/Kotlin, React, AWS, Kafka, and increasingly LLM-powered agents.
Redbee, an Argentine tech services firm focused on the financial industry, seeks a semi-senior Salesforce Developer in Bogotá. Day to day they design and code Apex solutions, build REST integrations, model data, automate with Flow, and configure Service Cloud (console, cases, routing).
Entry-level analyst supporting Pathward's warehouse lending and capital markets functions: manages day-to-day warehouse lending operations, borrowing base and compliance reporting, deal reviews and approvals, plus financial modeling and credit risk oversight for structured finance transactions.
Principal Business Analyst, Fraud at Mission Lane designs and implements fraud detection strategies for credit cards, analyzing trends to balance risk and customer experience using SQL, Python, and A/B testing.
Senior backend software engineer building distributed, resilient, highly scalable systems in Elixir/OTP for Swap's Banking-as-a-Service financial infrastructure platform. Day to day includes coding and deliveries, agile ceremonies (refinements, planning, dailies), handling support tickets, and writing technical documentation.
A quantitative developer joins a systematic equities trading pod at a global hedge fund, building and deploying classical and deep learning models on high-frequency market data and scaling distributed research-to-production workflows. Core stack: Python, distributed computing, Linux, with C++ an advantage.
A Senior Data Scientist joins the pricing function of a UK retail insurer, building and deploying machine learning models — from deep learning and GLMs to NLP — on large multi-source datasets to directly shape pricing decisions. Remote-first role with occasional travel to Haywards Heath or Manchester offices.
A senior engineering leadership role in JPMorganChase's AI/ML & Data Platforms group in London: leading a technical area and cross-functional teams, driving AI-assisted engineering practices across the SDLC, and building cloud-based (AWS) applications. Requires 10+ years of software engineering experience.
Senior engineering lead at London Stock Exchange driving architectural strategy and hands-on delivery of large-scale cloud data platforms. Day to day: mentoring distributed teams, building ETL pipelines with SQL/Python/dbt, and leading AI integration with strong CI/CD and data governance across AWS/Azure.
Senior or mid-level Data Platform Engineers join the AI and Data Platform teams of a global healthcare and insurance organisation. Fully remote (UK) with occasional office travel; day-to-day data platform infrastructure work where expert Terraform knowledge is essential. Pays £70,000–£100,000 plus bonus and benefits.
Full Stack .NET Developer at a fast-growing fintech in Peterborough (hybrid, 2 days onsite), building and maintaining Web-to-SQL applications. Day to day involves C#/ASP.NET web development, SQL integration and performance tuning, BAU support and maintenance, plus mentoring from senior engineers. Salary up to £38,000 plus benefits.
Lead DevOps Engineer owning the London Stock Exchange's cloud infrastructure, delivery platforms, and operational capabilities. Stays hands-on with architecture, deployment, observability, and incident response while guiding engineers, using Python/Go, IaC, and cloud platforms.
Lead DevOps Engineer (individual contributor, no direct reports) at London Stock Exchange, owning the technical direction of cloud infrastructure and delivery platforms that support AI products. Day to day: architecting and operating Azure/AWS platforms, building CI/CD and infrastructure as code, improving observability and incident response, and mentoring engineers using tools like Terraform, Kub
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