What are the responsibilities and job description for the Lead DevOps Engineer position at DeepSee?
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 they’re just starting their AI transformation journey or looking to enhance existing in-house capabilities with Agentic AI solutions. With DeepSee’s pre-trained & pre-configured agents, banking and capital markets firms can automate and orchestrate manual, repetitive tasks—freeing domain experts for strategic work, reducing risk, and streamlining operations to drive greater efficiency.
We are looking for an experienced and forward-thinking Lead DevOps Engineer to help drive teams as a best-in-class engineering organization. The role is ideal for someone who can collaborate with Product and Engineering to enhance and build out our technology and own the strategy, vision, and plan for how to increase developer productivity.
Job Responsibilities:
- Engineer and maintain automated deployment processes
- Maintain best practices in cloud architecture
- Work with Engineering, Product, and Security/Compliance to design and deliver highly secure and regulatory compliant infrastructure and processes (SOC2, ISO27001, etc.)
- Improve automated processes, cloud configuration, deployment pipeline, service monitoring and logging
- Deep dive technically while also operating at the strategic, organization level
- Responsible for the reliability of the systems you build (like all other teams!). This includes responding to critical incidents as needed.
Must Haves:
- 5 years building core infrastructure
- Strong understanding of best practices in DevOps, security, and software delivery
- 5 years of experience working in cloud platforms
- Comfortable with ambiguity and rapid change
- 5 years of experience in engineering, including 3 years of experience in infrastructure building tooling for developers
- Deep experience in Kubernetes at scale, networking, service mesh, and cloud-native automation
- Ability to leverage AI tools to augment work.
Nice to Haves:
- Experience driven empathy for the tools, frustrations, and processes that slow engineering teams down and lead to toil or burnout
- A voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others
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: We’re 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 you’re 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!