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About SnapLogic
SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design.
Join the Agentic Integration movement at snaplogic.com.
The Role:
SnapLogic is looking for a Full Stack Software Engineer with a data science mindset to help modernize complex enterprise systems using cutting-edge tools, including AI/ML and cloud-native technologies. You’ll work on strategic initiatives that simplify integration, enable automation, and support our transition to intelligent, self-service platforms.In this role, you’ll collaborate closely with product managers, designers, and engineers to build scalable software and data-driven features that make legacy modernization seamless for our global customers. This is a high-growth opportunity for a software engineer who wants to work across the stack and contribute to enterprise transformation in the age of AI.
This role is remote, with travel to San Mateo, CA HQ required.
What You'll Do:
- Build and maintain full stack web applications and backend services that support enterprise data and application integration
- Support legacy-to-cloud modernization by building tools that simplify migration and transformation
- Collaborate across engineering and product to develop user-facing features and modernization workflows
- Contribute to scalable architecture across cloud and hybrid environments (AWS, Kubernetes, Docker)
- Design and develop machine learning-powered capabilities like smart data mapping, anomaly detection, and automation recommendations
- Work on data pipelines to support model training, feature engineering, and analytics
- Help integrate ML models into production systems in ways that improve user experience and reduce manual effort
What We're Looking For:
- 3–6 years of experience in full stack software engineering
- Solid backend skills in Python, Java, or Scala, with experience developing modern web UIs using React or TypeScript
- 1–2 years of experience applying ML or data science techniques to real-world problems
- Knowledge of cloud-native development and microservices architecture
- Experience building and deploying containerized microservices in Kubernetes or similar platforms
- Experience with infrastructure-as-code, especially Terraform
- Strong documentation and communication skills — you’re comfortable writing specs, collaborating cross-functionally, and demoing work to stakeholders
- Passion for learning, experimentation, and building user-friendly tools
Nice to Have:
- Familiarity with the challenges of legacy systems, integration, or migration projects
- Experience working with LLMs or GenAI in enterprise software
- Knowledge of enterprise integration platforms (e.g., MuleSoft, Informatica)Exposure to mainframe systems, ERP migrations, or low-code/no-code platforms
- Experience working directly with customers or external stakeholders to gather feedback and rapidly iterate on product features
- Interest in contributing to technical blogs, open source, or conferences
Why Join:
There's never been a better time to join our SnapSquad!
At SnapLogic, we believe in empowering people - customers and employees alike - to integrate everything and create anything. From competitive salaries and equity packages to global wellness benefits, we’re committed to your success and well-being.
A Few Reasons You’ll Love it Here:
We’re Innovators
SnapLogic pioneered the first generative integration solution, SnapGPT, and continues to lead with a full suite of AI-powered tools - making integration faster, smarter, and accessible to more people.
We’re Recognized Leaders
From being named a Visionary in multiple Gartner Magic Quadrants, leading the market in innovative AI reports from Aragon Research, or being recognized for AI in the Cloud Awards, we’re setting the pace in a rapidly evolving market.
We’re Growing Fast
Named one of Inc. 5000’s Fastest Growing Private Companies in 2024, SnapLogic is scaling globally - and we want you to grow with us.
We’re Agentic
Our platform empowers everyone across the enterprise to create automated, AI-connected workflows. That means more impact, less friction, and a bigger role for YOU in driving transformation.
Are you ready to help the world integrate everything and create anything? Let’s talk. Apply now and help shape the future of integration.
SnapLogic San Mateo, California, USA Office
1825 Grant Street, San Mateo, CA, United States, 94402
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
