Software Engineer, DevOps

kAIgentic is building the intelligence layer for the world's most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, our software platform helps large organizations evolve as fast as technology itself by turning the tacit know-how locked inside their people into safe, governed, AI-powered operations.

The hardest part of enterprise transformation is not strategy. It is execution. Institutional knowledge lives in people's heads, systems are fragmented, and risk tolerance is low. kAIgentic captures how work actually happens, designs better workflows, and runs them inside an intelligence layer that is observable, auditable, and engineered for the most regulated environments on earth. The outcome is an enterprise that continuously improves.

We are backed by SMBC Group as our founding partner and customer zero, and our platform is already being proven inside one of the most complex, regulated operating environments in the world. That means real problems, real data, and real production impact from Day 1.

The Role

Own the reliability and scalability of the Engineering Operations (DevOps) team’s cloud and Kubernetes platform, ensuring safe, regulated deployments for enterprise AI workloads. Partner with product, security, and compliance groups to deliver observability, CI/CD, and compliance capabilities that keep mission-critical systems running.

What You’ll Do

• Own end-to-end reliability for multi-region, multi-tenant deployments, defining SLOs and driving continuous improvement

• Design cloud and Kubernetes infrastructure that supports GPU scheduling, multi-cluster management, and secure tenant isolation

• Build a unified observability framework that aggregates application metrics, tracing, business KPIs, and alerts across all services

• Deliver CI/CD pipelines and Temporal workflow orchestration that enable rapid, safe releases and durable execution

• Improve security posture by implementing automated secrets rotation, vulnerability scanning, and compliance checks aligned with financial regulations

• Collaborate with engineering, data science, and compliance teams to translate ambiguous requirements into production-ready infrastructure solutions

• Own incident response processes, conduct post-mortems, and embed learnings into the platform to reduce mean-time-to-recovery

• Improve operational efficiency by automating routine tasks and driving AI-native infrastructure automation practices

What You’ll Bring

• Proven expertise delivering production-grade DevOps solutions in highly regulated, enterprise AI environments

• AI-native velocity as a default mode of working

• Expert-level mastery of cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tooling

• Deep experience with Kubernetes at scale, including multi-cluster, GPU workloads, and service-mesh integration

• Strong skill in building observability pipelines that combine metrics, tracing, business KPIs, and SLO monitoring

• Extensive background designing and operating CI/CD systems and Temporal workflow clusters for reliable releases

• Hands-on knowledge of security automation, secrets management, vulnerability scanning, and compliance frameworks

• Ability to translate ambiguous business requirements into concrete, safe production architectures

• Sound judgment and clear communication with cross-functional stakeholders, including senior engineering and compliance leaders

Why join kAIgentic?

We are a global team of builders who thrive in ambiguity, care deeply about the customers we serve, and believe the intelligence layer is how enterprise work will be reshaped over the next decade. We are building the connective tissue that lets large companies operate with the speed of a startup and the trust of an institution.

We look for people who:

• Combine technical excellence with genuine customer empathy.

• Are entrepreneurial and energized by zero-to-one problems with no playbook.

• Lead with ownership, integrity, and collaboration, not titles.

• Want to help define a new category of enterprise AI, not just ship inside an existing one.

• Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

• Intelligence layer at the core. You will be shaping the substrate that turns institutional knowledge into governed, production-grade operations. This is enterprise infrastructure with real consequences.

• Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.

• Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.

• Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.

• A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.

• Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.

• A mission worth the effort. Building something the world has not seen before: anintelligence layer that helps enterprises continuously improve how they run.