Senior Platform Engineer
19 hours ago
Who are we?
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
We are seeking a passionate, strategic problem-solver to join our Fabric Engineering group as a Senior Platform Engineer. In this role, you will make a strategic impact across multiple teams and technologies both as an individual contributor and by growing other Engineers. You will play a key part in shaping the future of our global Kubernetes platform by providing hands-on technical expertise to design, deploy, and optimize our infrastructure in a secure and cost-effective way. The ideal candidate will have a strong understanding of Cloud Native technologies as well as the ability to deliver complex Platform Engineering initiatives from inception through to global rollout.
Key Responsibilities- Design, build and operate production-grade infrastructure in AWS.
- Be an individual contributor to our platform codebase, raising the bar in terms of quality, security, and reliability. Create documentation and debug complex distributed systems.
- Deliver robust pipelines to safely manage infrastructure at scale and automate workflows.
- Operational excellence – respond to incidents and participate in an 24/7 365 Engineering on-call rotation.
- Collaborate with Application Engineering teams to champion best practices, improve onboarding and accelerate delivery. Influence the technical roadmap across Engineering, to deliver high impact outcomes.
- Mentor junior Engineers, to actively support their development.
- Effective communication and leadership skills, with a collaborative mindset and a commitment to driving team success.
- Deep technical expertise in AWS cloud architecture and managing Kubernetes platforms at scale, including cluster lifecycle management, and managing Service Meshes such as Istio.
- Demonstrated experience of delivering complex Platform Engineering initiatives from inception through to global rollout.
- Experience with Terraform for managing and provisioning infrastructure, with a strong focus on DevOps processes.
- Proficiency in a programming language such as Go, Python, Java, or similar.
- A demonstrated eagerness to continuously learn and grow in a dynamic environment.
- Familiarity with system monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack).
- B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience).
- 5+ years' experience working on cloud platforms including AWS Cloud, Istio Service Mesh, Kubernetes (EKS), Terraform and ArgoCD.
- Advanced AWS Expertise: Deep familiarity with AWS services, architectures, and pricing models. AWS certifications (e.g., Solutions Architect) are desirable.
- Experience with Cloud 'FinOps' initiatives, including efficient Kubernetes cluster autoscaling using Karpenter.
About our culture
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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