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 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

To do this you will have:

- 6+ years of progressive experience in Site Reliability Engineering (SRE)
- 6+ years of strong, hands-on experience across multi-cloud environments such as AWS, GCP, Azure including expertise in networking, compute, storage, security, and cost optimization.
- 6+ years of deep expertise in containerization and orchestration (e.g., Kubernetes, EKS, ECS)
- 6+ years of extensive experience with Infrastructure as Code (IaC) (e.g., Terraform, Pulumi, CloudFormation).
- 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 contemporary observability stacks (e.g., Prometheus, OpenTelemetry, OpenSearch, ELK, CloudWatch).
- 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.
- Communication: Excellent communication and collaboration skills with a proven ability to describe complex infrastructure decisions clearly and a background in 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 is also important at Sleek, and we will be looking for candidates that have a proven track record of embodying the below attributes in their recent roles:

Ownership: This shows reliability and helps build trust within the team. We move fast and need to know that everyone will see things through to completion and proactively help to get things back on track when challenges arise.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Site Reliability Engineer (SRE) (India)
🏢 Sleek Tech
📍 India