Principal SRE Engineer

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 500 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 Singapore.

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 Principal 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 pipelines for model hosting, embeddings, vector search, or related AI services if required
• Implement monitoring and guardrails for AI service performance, cost, and stability

Increase Engineering Velocity Through Automation

• Enhance CI/CD pipelines for speed, safety, and reliability
• Introduce infrastructure automation, testing automation, and deployment tooling to reduce manual steps
• Champion modern DevOps and AI-assisted tooling to improve engineering productivity.

Improve Observability and Operational Excellence

• Strengthen logging, monitoring, tracing, and alerting across services
• Reduce noisy alerts and improve the signal-to-noise ratio for incidents
• Implement readiness checks, runbooks, and automated recovery paths for critical services

Security and Compliance Improvements

• Ensure secure configuration, secrets management, access control, and identity management
• Implement automated security scanning, dependency monitoring, and hardened pipeline practices
• Prepare platform-level requirements needed for reliable and secure AI usage

Mentor and Support Engineering Teams

• Coach engineers on cloud best practices, reliability, and operational readiness
• Lead architecture reviews, workshops, and platform knowledge-sharing session
• Build tooling, templates, and patterns that elevate team productivity