Work with Java/Spring, React, JavaScript/TypeScript, CI/CD pipelines, and distributed systems. You'll join the Account Integrity team building a globally scalable fraud prevention engine to protect customer accounts and prevent financial crime using machine learning and real-time monitoring.

Wise★3.5 (42)· London

You will build and refine financial crime prevention systems using Java (or JVM languages) with Spring, React/JavaScript/TypeScript, and CI/CD pipelines, working 80% backend and 20% frontend. You join the Account Integrity team, which protects Wise’s global platform against fraud via machine learning and real-time transaction monitoring, and you will own projects end-to-end.

Build scalable distributed systems with Java (Spring/Spring Boot) and Python, using Kafka, MQ, XML, and CI/CD in Unix/Linux environments. This Risk Services team within CRISIL supports capital-markets risk data ingestion, processing, analytics, and reporting for Global Markets.

You'll build distributed backend services and microservices using Java (Spring/Spring Boot), Python, messaging frameworks like Kafka/MQ, and Unix/Linux, with CI/CD and containerization. The Role sits on the Risk Services team within Global Markets, designing scalable systems for risk data processing, analytics, and reporting workflows.

Build and maintain scalable data pipelines (BigQuery, Cloud Composer, Airflow, Dataflow, Spark, Flink, dbt) on GCP for AI/ML experiences. Use Docker/k8s, Terraform, SQL, shell scripting, and monitoring tools (Monte Carlo, Looker, NewRelic, Splunk). Collaborate with product engineering, data science, and business teams.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

Wise★3.5 (42)· London

Build backend

Wise★3.5 (42)· London

You will work with Java, Kotlin, Spring Boot, AWS, PostgreSQL, Apache Kafka, and RESTful APIs. The Recurring Payin team builds the Direct Debit API platform that powers automated payments and scheduled top-ups into Wise, including a payment orchestration system routing across providers.

Durlston Partners· London

You'll use Java, Spring Boot, Kafka, and AWS (EKS, S3), plus PostgreSQL, SQL Server, and CI/CD. The team builds the core trade processing, reconciliation, and reporting platform for a leading systematic hedge fund’s multi-asset trading, collaborating closely with traders and quants.

You will work with Java, Spring Boot, Kafka, and stream processing to build the backend for customer-facing spending summaries, travel insights, and spend controls. This is for the early-stage Account Insights team at Wise, a global technology company building a network for moving money internationally.

You'll work with Java/Spring Boot, Kafka, and stream processing to build the backend powering customer-facing insights—spending summaries, travel insights, and spend controls. This is on the early-stage Account Insights team at Wise, a global technology company building the best way to move and manage money.

Goldman Sachs★3.9 (2.3k)· London

You will work on backend micro-service development using Java, Spring, and MongoDB. At Goldman Sachs, a global investment banking and securities firm, you’ll build scalable software, low-latency systems, and data-driven solutions for trading, sales, and asset management.

Wise★3.5 (42)· London

You will build the backend for customer-facing insights (spending summaries, travel insights, budgets, recurring-payment tracking) using Java, Spring Boot, Kafka, and stream processing across a high-throughput streaming and storage stack. The Account Insights team aggregates transaction activity data into low-latency APIs and handles categorisation accuracy.

Dynatrace★4.2 (100)· London

You will evangelize Dynatrace's telemetry pipeline using Bindplane, OpenTelemetry, Fluentd, Logstash, Fluent Bit, event-streaming (Kafka, Kinesis, Pub/Sub) and cloud-native ecosystems (AWS, Azure, GCP, Kubernetes). The role drives adoption of Dynatrace's AI-powered observability and security platform, advising on data routing and analytics. You will partner with Global Sales and Customer Success teams in a specialist pre-sales capacity.

Citi★3.9 (21k)· London

Build and scale AI-powered financial systems using Java, Spring, React/Angular, Python, FastAPI, Docker, and GitHub Copilot within Citi’s global tech environment. You will design generative AI agents, LLM workflows, and RAG pipelines while working on enterprise microservices, mobile, or front-end development. This role is for an individual contributor on an agile team.

You'll build scalable Java backend services, Spring Boot microservices, and RESTful APIs on a cloud-native platform (AWS/Azure/GCP). The newly formed engineering squad works with Product Managers and Data Scientists to create an AI-powered platform that helps global publishers optimise digital content using machine learning and intelligent automation.

Work with Java, Spring Boot, Kafka, and PostgreSQL to design and maintain highly scalable microservices. You will join the Partner Cash Management team, building infrastructure that lets banks fund, hold, and manage money within interbank payment networks.

Wise★3.5 (42)· London

You will work hands-on with Apache Flink, Apache Iceberg, Kafka Streams, K8s operators, Java, Spring, and AWS. The Stream Processing team provides the tooling and infrastructure enabling Wise to process transfers in real time, powering validation, fraud detection, and anti-money laundering checks.

BlackRock★3.8 (632)· London

You will work with React, Angular, or Vue, Java 17+, TypeScript, RESTful and GraphQL APIs, SQL and NoSQL (Cassandra, Ignite), AWS, Azure, or GCP, Docker, Kubernetes, CI/CD, and Spring Boot. The role builds scalable web applications and high-performance APIs for BlackRock's Aladdin investment and trading platform. You will mentor junior engineers and may lead a team.

Wise★3.5 (42)· London

You’ll work with Java (Spring Boot) for backend microservices and React with TypeScript for frontends. As part of the Customer Risk Assessment team, you’ll build a centralized platform that aggregates fincrime topologies into a unified view of customer risk, enabling fast compliance decisions.

Wise★3.5 (42)· London

Build public-facing APIs using modern Java, Spring, Kafka, and event-driven microservices for Wise Platform’s KYC Experience team, which owns partner onboarding and identity verification for companies like Google and Deel. Design scalable systems with relational and non-relational databases.

BlackRock★3.8 (632)· London

Work with React, Angular, or Vue, Java 17+, RESTful and GraphQL APIs, and SQL/NoSQL databases including Ignite, plus Spring Framework and Spring Boot. You will build scalable web applications and backend services for BlackRock’s Aladdin platform, which powers global investment and trading operations.

Wise★3.5 (42)· London

Build high-throughput, distributed microservices in Java and Spring Boot, working with SQL and NoSQL databases, ML/AI automation, and cloud technologies on the Global KYC and Onboarding squad. The team owns the entire verification lifecycle—document collection, automated review, agent tooling, and compliance monitoring—for personal and business customers at Wise. As a Staff Engineer (IC4), you will shape architecture across the squad’s services and lead technical initiatives.

Wise★3.5 (42)· London

The Engineering Lead will work with Java, Spring Boot, Kafka, relational and non-relational databases, and web applications in a distributed-systems environment. The Account Details Experience team builds and scales Wise’s account details and alias (email/phone) features, enabling customers to receive money internationally. This role leads a team of backend and web engineers, mentors them, and partners with Product to shape the roadmap.

Wise★3.5 (42)· London

You will use Java or JVM languages with Spring, React, JavaScript/TypeScript, and CI/CD for distributed systems. The Scam Prevention team builds real-time transaction monitoring and ML-driven controls to protect Wise’s global customers from financial crime and scams.