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Summary:
- Acquia is an open digital experience company providing technology for brands to innovate and create customer moments that matter.
- Acquia is seeking a Staff Software Engineer to join their AI Services team, which focuses on building AI-powered applications and APIs.
- The role is centered around collaboration, innovation, and an agile mindset to build next-generation solutions.
- The position involves working with various teams to extend or build new AI services for Acquia’s Digital Experience Platform (DXP).
Responsibilities:
- Work with Product, Engineering, and Architecture teams to gather requirements and identify opportunities for value addition through AI services.
- Draft RFCs and propose solution designs. Lead discussions with stakeholders to review, reach consensus, and approve solutions.
- Break down complex problems into smaller manageable units and contribute to coding, PR reviews, documentation, and automated tests to meet sprint goals.
- Ensure compliance with CICD, coding, security, and operations best practices.
- Participate in experimentation and prototype building, iterating on feedback in a collaborative environment.
- Contribute to the core architectural platform and libraries used across teams to ensure stability, cost-effectiveness, and performance.
- Work with Engineering leadership to design and document a technical vision for the team to deliver competitive products.
- Foster a culture of observability through appropriate logging and monitoring configurations for troubleshooting.
- Address security vulnerabilities as necessary.
- Collaborate with the architecture team to align the platform with overarching goals.
- Ensure systems meet contractual RTO and RPO requirements.
- Mentor and train team members on key technical topics.
- Collaborate to ensure platform consistency with architectural goals at Acquia.
Requirements:
- 6+ years of experience working with Python or Golang, Vector databases, and SQL.
- Experience in Gen-AI (Artificial Intelligence) and Retrieval-Augmented Generation (RAG).
- Proficient in writing and consuming REST APIs.
- Experience with cloud platforms (AWS, Azure, or Google Cloud).
- Basic knowledge of machine learning, non-generative ML models, LLMs, and data embeddings.
- Working knowledge of software design principles and programming languages.
- Experience managing applications in a Kubernetes environment.
- Experience with Git and CI/CD tools (e.g., Jenkins).
- Experience writing automated tests.
- Strong knowledge of software security principles and best practices.
- Understanding of software architecture and trade-offs between patterns.
- Ability to learn and adapt quickly to new technologies.
Benefits:
- Competitive healthcare coverage.
- Wellness programs.
- Flexible time off (“take it when you need it”).
- Parental leave.
- Recognition programs.
- Professional development and continuous learning opportunities.
