Build the Future of Cloud.
Migrate, modernize, innovate, and transform—unlock the power of Google Cloud to accelerate your mission at every step.
The Best Place to Work
At Evonence, we believe that work should be more than just a job—it should be a place where you thrive, grow, and feel valued. We've created an environment that fosters creativity, collaboration, and a sense of belonging.
Our Mission
We're in the business of innovation. From cutting-edge technology to transformative solutions, we're constantly pushing the boundaries of what's possible.
The Heart of Evonence
Our culture is built on trust, respect, and a shared commitment to excellence. We believe in open communication, collaboration, and empowering each other.
Become Part of Evonence
If you're looking for a career that challenges you, inspires you, and gives you the opportunity to make a real impact, you've come to the right place. Whether you're a seasoned professional or just starting out, there's a place for you here.
What We Offer You
We care about your well-being, both inside and outside of work. Here is how we support you in every aspect of your life.
Health & Wellness
Comprehensive coverage to keep you and your family healthy.
Paid Time Off
Take the time you need to recharge and come back refreshed.
Work from Anywhere
Flexibility to work where you are most productive.
Recognition
We celebrate your achievements, because hard work deserves it.
Current Openings
We're looking for people who are curious, passionate, and ready to make an impact. Find your perfect role below.
Forward Deployed Engineer (FDE) – Google Cloud - Gemini AI
Role Description
As a Forward Deployed Engineer (FDE) for Gemini AI, you will be the "special forces" of our Professional Services team. You will be deployed directly to high-value enterprise accounts to architect, build, and ship production-grade GenAI systems. Your mission is to take raw business challenges and solve them rapidly using Google’s advanced AI portfolio, grounded safely in multi-cloud data lakes.
Key Responsibilities & Qualifications
- Architect and develop production-ready GenAI agents, RAG pipelines, and orchestration frameworks utilizing Gemini 1.5 Pro/Flash and Vertex AI.
- Embed deeply with client engineering and executive teams to scope use cases, clear technical blockers, and enforce enterprise-grade security (CAA, CSE, DLP).
- Extensive experience building within Google Cloud Platform (GCP); dual fluency in AWS or Azure infrastructure is a massive advantage.
- Strong software development skills (Python, Go, or Java), data engineering mastery (SQL, BigQuery), and an elite consultant mindset prioritizing "impact over noise."
Generative AI Architect
Role Description
Evonence is looking for a Generative AI Architect to drive end-to-end AI solution development from architecture and model training to responsible deployment and mentorship. This role balances research, engineering, and leadership.
Key Responsibilities & Qualifications
- Design production-grade AI systems using frameworks like transformers, GANs, or diffusion models.
- Build, fine-tune large-scale models, and embed Responsible AI practices to mitigate bias.
- Advanced degree (PhD or Master's) in AI/ML with expertise in Python (4+ yrs), TensorFlow (2+ yrs), and JAX.
- Experience on Google Cloud Platform (GCP) and open-source tools like HuggingFace preferred.
Sales Support Specialist (GCP)
Role Description
As a Sales Support Specialist, you will be the backbone of the sales cycle, working closely with Account Managers and Technical Architects to transform complex technical scopes into professional, persuasive Statements of Work (SOWs) and proposals.
Key Responsibilities & Qualifications
- Draft, format, and refine SOWs, RFPs, and high-quality pitch decks for Google Cloud professional services.
- Manage CRM hygiene (Salesforce/HubSpot) and handle "Google Partner" deal desk paperwork (Lattice program, discount approvals).
- MBA (Marketing/International Business/Sales) is required.
- 1-2 years experience in cloud sales support (GCP, AWS, Azure) and excellent English communication for C-suite clients.
Sr. Technical Project Manager
Role Description
We are looking for a highly motivated Technical Project Manager to drive all aspects of project management, including planning, execution, and delivery while utilizing Agile methodologies to manage complex, cross-functional project teams.
Key Responsibilities & Qualifications
- Drive all aspects of project management utilizing Agile methodologies (Kanban, sprints, Scrum).
- Influence cross-functional teams to build commitment, ensure alignment, and manage competing priorities.
- 3+ years of experience in Management and Project Planning, with 2+ years of experience on GCP.
- Clearly communicate plans, dependencies, milestones, and risks to leadership and stakeholders.
Google Cloud Field Sales Rep
Role Description
Excel at creating and closing new opportunities for Google Cloud solutions. Using a consultative approach, you will identify and qualify leads to generate sales opportunities for Google Workspace and Google Cloud infrastructure.
Key Responsibilities & Qualifications
- Generate net-new logos through qualified pipeline building for Google Workspace and GCP solutions.
- Target and negotiate with CIOs and CTOs of mid-size enterprises for cloud initiatives.
- 3+ years of quota-carrying sales experience with a demonstrable track record of over-achieving.
- Build strong relationships with the Google Sales team to act as a single point of contact for mid-market accounts.
Google Cloud AI/ML Engineer
Role Description
This is a full-time hybrid role where you will work on pattern recognition, neural networks, statistics, and algorithms. You will be responsible for developing and implementing end-to-end AI/ML solutions on the Google Cloud Platform.
Key Responsibilities & Qualifications
- 3 to 7 years of experience with a strong background in computer science, algorithms, and neural networks.
- Strong programming skills in languages such as Python or Java is a must.
- Experience in developing AI/ML solutions on GCP, including data preprocessing and using ML frameworks.
- Bachelor's degree in Computer Science or Data Science; Google Cloud Platform certification is a strong plus.