Principal Devops Engineer

Sleek Hong Kong Limited; Singapore; Hybrid; SGD 90,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is seeking a Principal DevOps Engineer to architect and scale infrastructure for AI-powered capabilities. The role involves collaborating closely with product and engineering teams to ensure secure and scalable cloud architectures. Candidates should have over 8 years of experience in DevOps, strong expertise in multi-cloud environments, and a background in AI/ML workloads. This position offers competitive salary and a fully remote working option for one month every year.

Benefits

Flexible working hours

Remote work option

Employee share ownership plan

Training programs

Generous paid time off

Qualifications

• 8+ years of experience in DevOps or related fields.
• Hands-on experience in multi-cloud environments including AWS, GCP, Azure.
• Proven ability to design and operate scalable systems.

Responsibilities

• Architect and build Sleek’s infrastructure.
• Lead upgrades and redesigns of core platform components.
• Implement security and compliance improvements.

Skills

DevOps

Cloud expertise

Infrastructure as Code (IaC)

AI/ML workload support

Containerization

Education

Bachelor's degree in relevant field

Tools

Kubernetes

Terraform

AWS

Job 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 – 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.

Requirements

We are seeking a Principal DevOps 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.

Key Responsibilities

• 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 sessions.
• Build tooling, templates, and patterns that elevate team productivity.

Technical Profile

To do this you will have:

• Experience & Discipline: 8+ years of progressive experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Infrastructure Engineering.
• Cloud Expertise: Strong, hands‑on experience across multi‑cloud environments (AWS, GCP, Azure), including expertise in networking, compute, storage, security, and cost optimization.
• Core Platform Stack: Deep expertise in containerization and orchestration (e.g., Kubernetes, EKS, ECS), and extensive experience with Infrastructure as Code (IaC) (e.g., Terraform, Pulumi, CloudFormation).
• AI/ML Infrastructure: Experience supporting or deploying AI/ML workloads (e.g., model inference, vector databases, GPU workloads), or strong familiarity with the infrastructure requirements for these systems.
• System Reliability: Proven ability to design, build, and operate highly reliable, scalable production systems utilizing advanced Zero‑Downtime Deployment Patterns (e.g., Blue/Green, Canary, progressive delivery).
• Modern Delivery & Tooling: Expertise in modernizing deployments via GitOps practices (e.g., ArgoCD, Flux) and building Self‑Service Developer Platforms that enable engineering efficiency (e.g., environment automation, internal tooling).
• Networking & Edge Routing: Experience implementing and managing Multi‑Cloud API Gateways and Edge Routing solutions (e.g., Kong, Traefik, Cloudflare, multi‑cluster ingress).
• Security & Hardening: Strong background in platform security, including secrets management, Identity and Access Control (IAM), and Runtime/Security Hardening with tools like Falco/eBPF and WAFs.
• Observability: Solid understanding and practical experience with modern observability stacks (e.g., Prometheus, OpenTelemetry, OpenSearch, ELK, CloudWatch).
• Mentorship & Communication: Excellent communication and collaboration skills with a proven ability to describe complex infrastructure decisions clearly and a background in mentoring engineers and driving improvements in engineering practices.

• Development Expertise: Familiarity with modern programming languages like Node.js, NestJS, and Python is highly desirable for extending DevOps capabilities or integrating tooling.

Behavioural Fit

We will be looking for candidates that have a proven track record of embodying the following attributes:

• Ownership: Reliability and accountability to see things through to completion.
• Humility: Open‑mindedness to feedback and a willingness to learn from others.
• Structured Thinking: Pragmatic judgement that balances organisational, team, and customer needs.
• Attention to Detail: The ability to manage multiple, complex workstreams and spot inconsistencies.
• Excellent Listener & Clear Communicator: Effective communication across diverse nationalities.

Interview Process

The successful candidate will participate in the following stages (order may vary).

Screening Call

A ~30 minute chat with our Talent Acquisition team to learn more about you, your background, and what you’re looking for.

Technical Interview

A ~60 minute interview with Delivery Lead and/or Head of Engineering.

Final Interview

A closing conversation with our CTO, giving you the opportunity to ask any final questions and hear more about our vision and priorities.

Offer & References

We’ll make a non‑binding offer verbally or by email, followed by a couple of short phone or video calls with references that you provide.

Background Screening

Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role.

This may include using external vendors to verify the following:

• Your education
• Any criminal history
• Any political exposure
• Any bankruptcy or adverse credit history

We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation.

By submitting a job application, you confirm that you have read and agree to our Data Privacy Statement for Candidates, found at sleek.com.

Benefits

Some other great things about working at Sleek…

• Humility and kindness: We have a culture that values humility, kindness, and a sense of humor.
• Flexibility: Work from home 5 days per week, with flexible start times. Fully remote from anywhere for 1 month per year.
• Financial benefits: Competitive market salaries, generous paid time off, holiday schedules, and an employee share ownership plan. Potential upside as we work toward listing on a prominent stock exchange.
• Personal growth: Responsibility, autonomy, training programmes, and AI excellence initiatives to help you grow professionally.
• Environment and community: Proudly certified B Corp, carbon neutral ambition, tree planting and paper savings initiatives.

Legal Notice

EEO Statement: Sleek is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.