• Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability • Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads • Build and maintain infrastructure-as-code and GitOps workflows using tools such as Terraform, CDK, and ArgoCD • Improve platform reliability and performance by defining and driving SLOs, analyzing incidents, and implementing systemic fixes • Participate in and help improve the on-call rotation, leading incident response and post-incident reviews to drive systemic platform improvements • Partner with SRE, Delivery, InfoSec, and product/ML teams to land high-impact infrastructure changes and platform standards • Drive improvements in developer experience by simplifying platform usage, reducing toil, and enabling faster product and ML development • Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and cloud infrastructure

• Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse • Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs • Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models • Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability • Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams • Implement tests and data quality checks to ensure reliable and trustworthy datasets • Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards • Manage all database and infrastructure changes through IaC — minimise direct DB modifications

• Participate in on-call rotations as the primary technical lead. Act as the Incident Commander during major severity incidents: initiating war rooms, coordinating cross-functional teams, and providing clear status updates. • Instrument code to expose high-cardinality metrics and distributed traces. Collaboratively define, measure, and defend Service Level Objectives (SLOs) and Error Budgets with product owners. • Write high-quality, production-ready code (in Java, Go, or Python) to build internal tooling, automation platforms, and self-healing mechanisms that eliminate manual operator intervention. • Partner with Product Engineering teams during the design phase to ensure new services are built with reliability, scalability, and observability patterns (circuit breakers, rate limiting, backpressure, fallback strategies) from day one. • Analyze system performance and traffic patterns to model future capacity needs. Conduct load testing and chaos engineering experiments to verify system resilience under failure conditions.

• 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. • 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. • Play a central role in integrating AI systems into production environments, enabling efficient delivery, observability, and reliability across Sleek’s products and internal operations. • Ensure high-quality, secure, and scalable infrastructure capable of supporting modern applications and advanced AI workloads. • Implement robust automation across CI/CD, infrastructure provisioning, and operations to increase reliability and reduce manual overhead. • Integrate AI into operational workflows to improve efficiency, detect anomalies, and accelerate delivery. • Adhere to strong DevOps standards including reproducibility, testing, documentation, and operational excellence. • Maintain clear technical communication and cross-team alignment to enable predictable delivery and collaborative problem-solving. • Contribute mentorship and technical leadership that elevates platform engineering, DevOps maturity, and overall engineering quality across the organization.