Candidates need prior experience delivering technical projects in financial services or other regulated domains, plus a solid grasp of Agile, Scrum, Kanban or hybrid delivery. Strong facilitation, stakeholder management and comfort with ambiguity are required.
Communication skills, Process improvement, Software development, Regulatory compliance, PMP, PRINCE2
Candidates need experience leading technical teams in software, platform or data engineering, plus hands-on skill with a major cloud platform, CI/CD and modern development. They must be able to mentor engineers and communicate clearly with stakeholders.
Candidates need experience designing enterprise or large-scale cloud solutions and hands-on knowledge of AWS, Azure or GCP. They also need familiarity with microservices, APIs, messaging, security design, and the ability to explain architecture clearly to technical and non-technical people.
Candidates need strong skills in one or more modern languages such as Java, C#, Go, Python or TypeScript, plus experience with APIs and cloud platforms. Consulting-style communication and a collaborative, delivery-first mindset are also expected.
Spring Boot, .NET Core, Express, Fastify, gRPC, Docker
Candidates need strong distributed systems and platform engineering experience, hands-on work with LLMs and GenAI systems, and deep knowledge of Azure and cloud-native architecture. Kubernetes, container orchestration and strong backend skills in Python, TypeScript or Go are also required.
5+ YOECandidates need 5+ years as a Business Analyst or Business Systems Analyst in technology delivery, a strong technical background, and experience with Agile delivery, APIs, integrations and data flows. Strong communication and client-facing skills are required.
RAVL needs candidates with deep experience building ML or data platforms at scale, strong Azure and Databricks skills, MLOps tooling experience and strong backend engineering in Python, Scala or Java. Experience with distributed systems and enterprise integrations such as identity, security and observability is also required.
Candidates need strong distributed systems and platform engineering experience, hands-on work with LLMs and GenAI, and deep Azure and cloud-native knowledge. They also need Kubernetes experience and strong backend skills in Python, TypeScript or Go.
Candidates need advanced Python and SQL, plus Scala or Java, and hands-on Databricks, Apache Spark, and Delta Lake experience. They also need deep cloud platform expertise in AWS, Azure, or GCP, Terraform and CI/CD skills, and knowledge of IAM, encryption, and responsible AI.
Databricks, Apache Spark, Delta Lake, MLflow, PyTorch, TensorFlow
Candidates need strong Databricks and Spark experience, experience building ML pipelines, and proficiency in Python. Cloud experience (Azure preferred) and familiarity with CI/CD and automation are also needed.
Candidates need hands-on experience with at least one major cloud platform, infrastructure-as-code tools, CI/CD pipelines, containers and scripting. They also need a working understanding of networking, identity and security in the cloud, and clear communication skills.
2+ YOECandidates need 2 to 5 years of experience in technology strategy, delivery or management consulting. RAVL requires strong analytical skills, Excel modelling, client presentation skills, and PowerPoint communication.
5+ YOECandidates need 5 to 10 years in technology strategy, delivery or management consulting, plus experience leading consulting or multi-disciplinary teams. They must understand established and emerging technologies and frame complex problems clearly.
Candidates need expert JavaScript and TypeScript skills, strong React experience, and knowledge of accessibility standards, testing tools and CI/CD pipelines. Clear communication with engineers and business stakeholders is also required.
React, Next.js, Vite, Webpack, GitHub Actions, Jest
3+ YOECandidates need post-secondary education in accounting or finance and 3+ years of full-cycle accounting experience. Experience with QuickBooks Online, Xero, NetSuite or similar systems, strong Excel skills and excellent attention to detail are required.
QuickBooks Online, Xero, NetSuite, Microsoft Excel, Expensify, Ramp
Candidates need strong experience building data pipelines with tools like Spark, Airflow or dbt, plus proficiency in SQL and Python, Java or Scala. Hands-on cloud data experience on AWS, Azure or GCP, knowledge of warehousing and lakehouse architectures, and CI/CD and governance practices are also expected.
Candidates need formal technology education or prior technology experience, and must be comfortable writing and reviewing code in at least one language. Strong analytical skills, ownership of their work and an empathetic approach are also expected.
Process improvement, Analytical skills, Regulatory compliance
Candidates need hands-on Vertex AI and GKE or Cloud Run experience, plus strong DevSecOps platform skills. Senior candidates must also show they have led platform architecture and mentored engineers in regulated environments.
Vertex AI, Gemini, Agent Builder, Vector Search, GKE, Cloud Run
Candidates need strong software engineering skills in Python or TypeScript, hands-on Google Cloud architecture experience, and practical work building LLM-based systems. Senior or Principal experience leading technical initiatives and working directly with clients is also required.
Google Cloud Platform, Cloud KMS, Artifact Registry, VPC Service Controls
Candidates need deep GCP platform experience (GKE, IAM, Shared VPC, Terraform), Vertex AI MLOps depth, and strong Kubernetes, CI/CD and SRE practice. Senior candidates also need experience leading platform architecture and mentoring engineers, and knowledge of LLMs and secure AI services in regulated environments.