DevKit

Description

Domain: SaaS
Project: SaaS Platform
Client: Ireland
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B

About US

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.

About PROJECT

Purpose-built automation for SASE deployments of any scale, backed by the world’s leading infrastructure automation technology.

Main Tech Stack

- SASE, ZTNA, SSE;
- And any of this: CATO NETWORKS, FORTINET, NETSKOPE, ZSCALER, PALO ALTO, CLOUDFLARE)

Requirements

- Strong experience in cybersecurity engineering, particularly in network and cloud security
- Hands-on experience with SASE, SSE, and ZTNA solutions
- Practical experience with one or more of the following technologies/tools:
• Cato Networks
• Fortinet
• Netskope
• Zscaler
• Palo Alto Networks
• Cloudflare
- Solid development skills (Python, APIs, automation, or similar)
- Experience integrating multi-vendor security solutions
- Strong understanding of networking (VPN, SD-WAN, Zero Trust architectures)
- Excellent English communication skills (written and spoken)

Responsibilities

- Design, develop, and integrate SASE-based solutions into the SASEOpsLab platform
- Work with leading SASE vendors, including Cato Networks, Fortinet, Netskope, Zscaler, Palo Alto Networks, and Cloudflare
- Implement and optimize ZTNA (Zero Trust Network Access) and SSE (Security Service Edge) architectures
- Collaborate with cross-functional teams to enhance platform capabilities and integrations
- Build automation, APIs, and development components for SASE orchestration
- Support technical demonstrations and customer-facing engagements
- Stay up to date with emerging cybersecurity and SASE trends

Would be a plus

- A hands-on engineer with both deep technical expertise and practical integration experience
- Someone comfortable working across multiple SASE vendors and ecosystems
- A proactive problem-solver who can bridge engineering and customer-facing activities

Work conditions

- A long-term role in a stable, fast-growing company
- Flexible working hours with a results-oriented approach
- Competitive salary and benefits package (vacation, sick leave, national holidays)
- Comfortable workspace, corporate events, and team-building
- Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!

Domain: SaaS
Project: AI strategy product
Client: Germany
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B
Budget: $6500 gross

About US

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.
 

About PROJECT

The company is a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. The state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.

Redefining traditional category management, the company’s all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At the product, they are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.

The multitude of prestigious awards and recognitions speaks to their leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Main Tech Stack

AI/DS/ML related stack
 

Responsibilities
 

• AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
• Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
• Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
• Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
• Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
• Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
• Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
• Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Requirements
 

• Have 5+ years of proven industry experience in applying Machine Learning and AI techniques.
• Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations.
• Showcase expertise in NLP, LLM (3+ years), including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection.
• Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses).
• Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM.
• Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines.
• Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Would be a plus:
 

• Seize the opportunity to join the team and make meaningful contributions to our engineering excellence within an international team and context.
• Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events.
• Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.

Work conditions

• A long-term role in a stable, fast-growing company
• Flexible working hours with a results-oriented approach
• Competitive salary and benefits package (vacation, sick leave, national holidays)
• Comfortable workspace, corporate events, and team-building
• Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!