Senior Site Reliability Engineer (SRE)
Sleek
| Company | Sleek |
| Category | Engineering |
| Location | India |
| Remote | Remote |
| Employment | Full-time |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We operate 3 business segments: Corporate Secretary : Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with ~5% market share of all new business incorporations Accounting & Bookkeeping : Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service FinTech payments : Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 600 staff with an intact startup mindset. We have recently raised Series B financing off the back of >70% compound annual growth in Revenue over the last 5 years. Sleek has been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Asia Pacific. At Sleek, we are on a mission to streamline operations and elevate customer experience through intelligent automation and modern engineering. About the Role: Mission: At Sleek, we are on a mission to streamline operations and elevate customer experience through intelligent automation and modern engineering. We are seeking a Senior SRE Engineer who will be a key individual contributor responsible for architecting, building, and scaling Sleek’s next-generation infrastructure and AI-powered capabilities. As one of Sleek’s most senior technical contributors, you will partner closely with Product, Engineering, and AI teams to define our infrastructure strategy, design resilient cloud architectures, and ensure our platforms remain secure, scalable, and high-performing. You will play a central role in integrating AI systems into production environments, enabling efficient delivery, observability, and reliability across Sleek’s products and internal operations. You will ensure: High-quality, secure, and scalable infrastructure capable of supporting modern applications and advanced AI workloads Robust automation across CI/CD, infrastructure provisioning, and operations to increase reliability and reduce manual overhead Thoughtful and pragmatic integration of AI into operational workflows to improve efficiency, detect anomalies, and accelerate delivery Reliable systems engineering practices , including monitoring, incident response, performance tuning, and capacity planning Strong DevOps standards, including reproducibility, testing, documentation, and operational excellence Clear technical communication and cross-team alignment to enable predictable delivery and collaborative problem-solving Mentorship and technical leadership that elevates platform engineering, DevOps maturity, and overall engineering quality across the organisation Outcomes: Strengthen Reliability, Scalability, and Infrastructure Health Conduct a full review of Sleek’s cloud infrastructure and propose a roadmap for reliability and scalability improvements Lead upgrades or redesigns of core platform components such as networking, containers, orchestration, or databases Improve incident response processes, SLIs, SLOs, and on-call readiness. Introduce Platform Enhancements to Support AI Workloads Ensure platform and infrastructure are capable of supporting AI-powered features Build or refine pipeli
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