We are looking for a Solutions Engineer, specialising in backend development, Python, and with relevant work experience in a software product company.
You'll be helping to deploy, customize and support the Squirro platform on Unix systems. Squirro's Insight Engine platform uses state-of-the-art machine learning algorithms and natural-language processing tools to analyse unstructured data. We offer a flexible work environment. This position, within the global delivery team, will implement Squirro's Search and Insights applications which also integrate Large Language Models (e.g. chatGPT) using real-world client data.
About the role
We are looking for someone who wants to use their affinity for technology in a business context where AI solutions bring massive business value. In this role, you might face corporate bankers who are sourcing the next big M&A opportunity, or business stakeholders who translate business requirements into technological products. We need someone who brings the enthusiasm and interest to grow into this role.
Responsibilities:
- Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support.
- Implement innovative digital transformation projects, primarily in the Finance & Public Sectors.
- Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations.
- Provide technical expertise and run tests on the requirements and suitability of Squirro's modules and features with regards to the solution scopes from customers and partners.
- Engage with technical users of all levels from Squirro's ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirro's modules.
- Extending Squirro's platform with custom backend components in Python and Bash within the platform's operational sphere.
- Collaborate with Engineering team members on product features required by the market and contribute towards product development.
- Deploying solutions on hybrid infrastructure within Linux environment, using infrastructure code tools such as Ansible.
- Advocate the adoption of our Frontend BI dashboards and execute potential custom extensions to meet users' strategic objectives for Insights from Squirro's platform.
- Drive the generation and maintenance of documentations throughout a Waterfall or Agile project lifecycle as part of Squirro's knowledge sharing policies and culture.
- Drive or support project management tasks in projects that are delivered by Squirro or our partners.
- Ensure high-quality delivery of Squirro's solutions and proactively manage risk and dependencies.
- Minimum 3 years in technical consulting, software engineering, and/or DevOps engineering roles.
- Minimum 3 years in a client-facing role as a point-of-contact for technical and non-technical users.
- Experience in implementing a full project lifecycle based on Waterfall and Agile methodologies. Project management would be an advantage.
- Experience in writing server-side web application logic and implementing REST APIs.
- Experience testing code, debugging programs and integrating applications with third- party web services.
- Experience in Redis and/or Postgres/MySQL/MariaDB database management.
- Experience performing system administration tasks on Linux and shell scripting.
- Experience working with application development using microservices architecture.
- End-to-end project delivery, including the setup and deployment of IT solutions for clients, data loading, data enrichment and analysis, data visualisation, and integration.
- Experience with information retrieval technologies (Elasticsearch).
- Unstructured data on a previous project or role.
- Natural Language Processing and Machine Learning knowledge.
- Ability to communicate and coach complex technical concepts to various levels of external technical users such as from customers and partners.
- Experience in building and maintaining project documentations to support implementations executed internally or by partners.
- Experience in managing and communicating product documentations to an external ecosystem would be an advantage.
- You are a smart, open-minded and curious person.
- You can deal with challenges and are able to find the best technical solution.
- You can identify the root cause of a problem and name it.
- Strong programming experience in Python.
- Experience with using Linux
- Proven track record in software systems design, implementation and coaching.
- Good communication skills and an easily adaptable team player.
- Core software: Python, JavaScript, GNU/Linux
- Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis
- Web components: Flask, FastAPI, NGINX
- Frontend components: React
- Other: Atlassian (Jira, Confluence), Git
- A start-up like environment and culture, fast-paced and agile with quick decision-making.
- An environment where team members at all levels can make a difference.
- Opportunity to work on search and AI projects using cutting edge technologies.
- Ongoing feedback as part of our working culture to grow and develop.
- We believe in life-long learning and supporting the development of our staff.
About Squirro
Businesses capitalize on new opportunities, improve client relations, and optimize decision-making capabilities using Squirro's vertical-specific Augmented Intelligence solutions, which combine human intelligence with powerful AI. An Insight Engine at its core, we deliver contextualized insights from your most relevant data sources and displays them directly, via workbench integrations, or through self-service applications.
Squirro works with global organizations, primarily in the Financial Services, Insurance, Telecommunications, and Manufacturing industries. Customers include Bank of England, Standard Chartered Bank, the European Central Bank, Henkel, and Candriam (A New York Life company).
Founded in 2012, Squirro is currently present in Zürich, London, Munich, New York, and Singapore. Further information about AI-driven business insights can be found at