Solutions Engineer
Join to apply for the Solutions Engineer role at Squirro and help deploy and support the Insight Engine platform on Unix systems. You will work with a global delivery team implementing Squirro’s Search and Insights applications and integrating Large Language Models (e.g., ChatGPT) using real‑world client data.
About The Role
You will use your affinity for technology in a business context where AI solutions bring massive value. You may face corporate bankers sourcing M&A opportunities or stakeholders translating requirements into products. Bring enthusiasm and interest to grow into this role.
Responsibilities
* Work operationally with partners and customers through solution qualification, implementation, and support.
* Implement digital transformation projects, primarily in the Finance & Public Sectors.
* Collaborate with Business and Engineering teams on customer use cases to deliver solution designs meeting or exceeding expectations.
* Provide technical expertise and run tests on requirements and suitability of Squirro’s modules and features.
* Engage technical users at all levels from partners and customers to guide development, implementation, and support of solutions using Squirro’s modules.
* Extend Squirro’s platform with custom backend components in Python and Bash within the platform’s operational sphere.
* Collaborate with Engineering on product features required by the market and contribute to product development.
* Deploy solutions on hybrid infrastructure within a Linux environment using Ansible.
* Advocate adoption of Frontend BI dashboards and execute custom extensions to meet users’ strategic objectives for Insights from Squirro’s platform.
* Drive generation and maintenance of documentation throughout Agile or Waterfall project lifecycles as part of Squirro’s knowledge sharing policies and culture.
* Drive or support project management tasks for projects delivered by Squirro or partners.
* Ensure high‑quality delivery of Squirro’s solutions and proactively manage risk and dependencies.
Preferred Experience
* Minimum 5 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 implementing full project lifecycle based on Waterfall and Agile methodologies; project management is an advantage.
* Experience with Elasticsearch in production deployments, including relevancy‑tuning, efficient data modelling, and search performance optimization.
* Experience writing server‑side web application logic and implementing REST APIs.
* Experience testing code, debugging programs, and integrating applications with third‑party web services.
* Experience managing Redis and/or Postgres/MySQL/MariaDB databases.
* Experience performing system administration tasks on Linux and shell scripting.
* Experience working with application development using microservices architecture.
* End‑to‑end project delivery, including setup and deployment of IT solutions, data loading, enrichment, analysis, visualization, and integration.
Ideally, You Also Have
* Unstructured data experience on a previous project or role.
* Natural Language Processing and Machine Learning knowledge.
* Ability to communicate and coach complex technical concepts to external technical users such as customers and partners.
* Experience building and maintaining project documentation to support implementations executed internally or by partners.
* Experience managing and communicating product documentation to an external ecosystem would be an advantage.
Who You Are
* Smart, open‑minded, and curious.
* Can deal with challenges and find the best technical solution.
* Can identify root cause of a problem and name it.
* Strong programming experience in Python.
* Experience using Linux.
* Proven track record in software systems design, implementation, and coaching.
* Good communication skills and an adaptable team player.
Our Tools
* Core software: Python, JavaScript, GNU/Linux.
* Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis.
* Web components: Flask,API, NGINX.
* Frontend components: React.
* Other: Atlassian (Jira, Confluence), Git.
What We Offer
* 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
Squirro is an enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions‑aware, and fully auditable, the platform ensures every result is accurate and verifiable. Squirro powers agentic AI applications grounded in the organization’s unique enterprise ontology.
Further information about AI‑driven business insights can be found at https://squirro.com/
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