Senior Director of Platform Engineering

Job Description

Job Description

Salary :

DeepSee delivers an open and flexible agentic platform to accelerate AI adoption for financial services in front, middle, and back-office operations. Our cloud-based platform seamlessly integrates with existing bank architectures, whether theyre just starting their AI transformation journey or looking to enhance existing in-house capabilities with Agentic AI solutions. With DeepSees pre-trained & pre-configured agents, banking and capital markets firms can automate and orchestrate manual, repetitive tasksfreeing domain experts for strategic work, reducing risk, and streamlining operations to drive greater efficiency.

We are looking for a Senior Director of Platform Engineering to lead our backend, frontend, infrastructure, and MLOps / DevOps / CICD teams. Youll scale our Kubernetes platform across AKS, EKS, and on-prem, ensure high availability and performance, and evolve our agentic AI and MCP-based integrations for bank-grade reliability. Youll partner tightly with the Chief Architect and our Product team to deliver a secure, observable, auditable platform for regulated clients.

Job Responsibilities :

• Own and drive the platform roadmap and strategy for multi-cloud / on-prem Kubernetes (AKS, EKS, vanilla K8s), compute, data, networking, ML serving, and high availability / performance.
• Lead, build, and develop multiple teams (Backend, Frontend, Infrastructure, MLOps / DevOps), including leadership, career ladders, and operational rhythms.
• Scale Kubernetes reliably : capacity planning, autoscaling (HPA / VPA / Cluster Autoscaler / KEDA), cost controls for mixed CPU / GPU workloads.
• Advance and mature GitOps, IaC, and observability practices (Argo CD, Terraform, Helm, OpenTelemetry, Datadog, Prometheus), including rollout strategies, standardization, monitoring, incident response, and post-mortems.
• Advance MLOps for LLMs / SLMs / ML / DL (KServe, MLflow pipelines, model governance, inference patterns, GPU scheduling, canary rollouts).
• Evolve and operate eventing and stateful architecture at scale (Kafka / ZooKeeper / KRaft, Postgres, S3 / Blob, protobuf, schema evolution / versioning, resilient data planes).
• Directly contribute technically via coding, reviews, and debugging distributed systems.
• Partner closely with Chief Architect, Principal AI, Product, and other leads to deliver secure, observable, auditable, regulated banking solutions, supporting agentic AI and workflow automation.

Must Haves :

Nice to Haves :

Finally, it is important that you align with our Stuff That Matters.

Knowledge Over Noise : We prioritize actionable insights

One Team, One Dream : We collaborate seamlessly across functions

Be a Seeker : We constantly pursue innovation and learning

Stay Human : We keep our solutions people-centric

Act Boldly : We take calculated risks to drive progress

Believe : Were passionate about our mission

Own It : We take responsibility for our work and its impact

Why DeepSee.ai?

Competitive compensation package including equity, with remote work options

100% company-paid premiums on health, dental, and vision insurance

Opportunity to work on cutting-edge AI technology with real impact

Collaborative and innovative work environment

Join us in shaping the future of AI-powered automation and make a significant impact in a rapidly growing startup. If youre a hands-on problem solver who thrives in fast-paced environments and is excited about leveraging AI to solve complex problems, we want to hear from you!