
11 - 50 employees
Founded 2017
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Slash is a people-first, innovation-driven studio that specializes in generative AI (GenAI) solutions, web and mobile application development, and cloud services. They aim to enhance business efficiency, innovation, and growth while partnering with clients to create custom digital experiences and prototypes. With expertise in tech architecture, staff augmentation, and senior recruitment, Slash empowers organizations to navigate digital transformations effectively and achieve real success through meaningful collaborations.
🕒 June 9
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2017
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Slash is a people-first, innovation-driven studio that specializes in generative AI (GenAI) solutions, web and mobile application development, and cloud services. They aim to enhance business efficiency, innovation, and growth while partnering with clients to create custom digital experiences and prototypes. With expertise in tech architecture, staff augmentation, and senior recruitment, Slash empowers organizations to navigate digital transformations effectively and achieve real success through meaningful collaborations.
• Lead the design and implementation of standardized, reusable CI/CD pipelines, enforcing quality gates, branching governance, and robust release discipline across engineering teams. • Establish strong CI foundations to improve build validation and early defect detection, while implementing structured deployment automation to enhance release reliability and traceability. • Implement Infrastructure-as-Code (IaC) and containerization practices to ensure environment consistency and parity across the development lifecycle. • Assess maturity levels, drive the adoption of automation standards, and provide technical leadership by integrating code quality tools and automated testing frameworks into daily workflows.
• 6+ years of hands-on DevOps experience • Proven track record of leading CI/CD transformation initiatives • Experience implementing pipelines from low or fragmented maturity environments • Strong experience with modern CI/CD platforms (Git-based CI, Jenkins, or equivalent) • Experience enforcing Git workflow governance and merge discipline • Hands-on containerization experience and exposure to Infrastructure-as-Code • Experience with AWS or similar cloud platforms • Strong scripting skills and ability to operate independently and influence engineering teams.
• Work on interesting global projects and high-impact challenges for top brands and governments using a mature SCRUM framework. • Join a diverse community across Indonesia, Cambodia, Singapore, Thailand, and Europe in an optimized remote environment. • Experience a trust-centric, flexible, and collaborative culture where everyone is ready to lend a helping hand. • Access mentoring programs, Growth Accountability Groups, and annual training credits to keep you at the forefront of tech trends. • Engage with a wide range of technologies including AI, blockchain, Cloud services, and microservices.
Apply Now🕒 April 16
Deployment Engineer for an AI-focused deeptech client, managing Kubernetes deployment strategies and client interactions. Seeking a technical advisor to enhance AI-driven engineering solutions.
AWS
Azure
Kubernetes
Terraform
🕒 March 31
Lead Engineer in the Site Reliability Engineering Team developing and maintaining cloud infrastructure for Propine Technologies. Collaborate with Engineering and Security teams to ensure high availability and smooth operations.
🇸🇬 Singapore – Remote
💰 Non Equity Assistance on 2021-03
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
Ansible
AWS
Cloud
Cyber Security
JavaScript
Microservices
Node.js
Python
Terraform
🕒 March 13
Site Reliability Engineer ensuring reliability and performance of ClickHouse Cloud services. Collaborating with engineering teams to enhance incident response and system reliability.
Ansible
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Puppet
Python
SQL
Terraform
Go