SR AI Platform Engineer

Assent empowers manufacturers and distributors with the intelligence to build sustainable products, meet global compliance requirements and drive better business outcomes.

At the center of our offering is the Assent Network, the industry’s most complete Product Intelligence Network, bringing together trusted parts and supplier intelligence, advanced AI and deep regulatory expertise to help organizations identify risk, make informed decisions and stay ahead of evolving requirements.

Trusted by more than 1,000 customers worldwide, Assent helps organizations stay ahead of evolving regulations across areas including responsible sourcing, human rights due diligence, PFAS reporting, Digital Product Passports, and other emerging requirements. Our platform empowers manufacturers to navigate change with confidence while building stronger supplier relationships and driving measurable business value.

With more than 1000 team members across India, North America, Malaysia, the European Union, and Kenya, Assent brings together global expertise, diverse perspectives, and a shared commitment to innovation. Our hybrid work model enables teams to collaborate across regions while staying connected to the communities where they live and work. As a certified B Corporation, we meet rigorous standards of social and environmental performance, transparency, and accountability, reflecting our commitment to creating lasting value for our customers, our people, and the planet.

People First. Technology Forward.

Our commitment to People, Culture & Community (PCC) is rooted in building a diverse, inclusive, and high-performing team. We recruit and retain team members with a range of backgrounds, experiences, and perspectives, while fostering a culture of belonging where all Assentees are respected, supported, and empowered to contribute.

As we continue to embed AI into how we work, we do so thoughtfully, enhancing human potential, supporting better decision-making, and prioritizing appropriate oversight, privacy, and fairness.

At Assent, we value your privacy and are committed to maintaining transparency in how we handle your personal information. As part of our talent acquisition and management processes, we may use AI technologies to support activities such as resume screening, candidate communication, and talent analytics.

Position Summary

Assent is building a governed platform that turns AI use cases into production-ready services — usable by technical and non-technical builders alike. You'll build the self-serve builder experience at the heart of that platform: templated build options that let someone pick “a knowledge base agent,” “an internal connector,” or “an Okta-gated web app” and have the platform generate the scaffolding, wire up the deployment pipeline, and enforce security and cost patterns automatically — without them touching Terraform, CI/CD, or a login flow themselves.

This is an infrastructure and platform engineering role with a product mindset: your “customers” are the other builders — engineers and business champions alike — who ship through what you build. You'll spend your time expanding the catalog of self-service build patterns, automating the scaffolding behind each one, and hardening the connector, auth, and cost-tracking primitives every pattern depends on.

Your Knowledge, Skills and Abilities

We strongly value your talent, energy and passion. It will also be valuable to Assent if you have the following qualifications

Strong plusses

- AWS certification (Solutions Architect, DevOps Engineer, or equivalent) demonstrating depth beyond day-to-day tooling familiarity.
- Familiarity with MCP (Model Context Protocol) or similar agent-to-tool connectivity standards.
- Experience building or operating a cost-metering / FinOps layer for cloud services.
- Experience as a platform or DevOps engineer supporting other engineering teams — you think in terms of paved roads and self-service, not one-off builds.
- Exposure to LLM-powered or agentic systems, even if your own hands-on work has been on the infrastructure side rather than the agent logic.

Responsibilities

Design, build, and expand the self-serve build patterns builders pick from — a knowledge base agent, an internal or external connector, an Okta-gated web app, a workflow automation — each backed by automated scaffolding rather than a one-off manual build.; Turn proven, one-off deployment patterns into repeatable, templated build options: automate the repo scaffolding, CI/CD wiring, and infrastructure provisioning behind each one so a builder can go from “I want to build X” to a working deployment without hand-rolling any of it.; Own and evolve the core deployment pipeline underneath every pattern: containerized apps on AWS ECS Fargate behind an Application Load Balancer, with SSO enforced at the listener so no pattern — and no builder — has to implement their own login.; Write and maintain Infrastructure-as-Code (Terraform) for compute, networking, and IAM, kept strictly separate from application code so infra changes stay reviewable and auditable on their own.; Design and harden connector and integration patterns — including MCP-style server patterns — so a builder can request a connection to an internal or vendor system and get one that's already scoped, OAuth-secured, and deny-by-default, rather than building auth from scratch each time.; Bake mandatory logging, metering, and cost-tracking into every pattern and every service the catalog provisions, so cost visibility and governance are automatic rather than something each builder has to remember.; Partner with cloud operations on anything account- or network-level (load balancer rules, security groups, IAM roles, DNS, container registries), and keep pattern development moving while that work is in flight.; Review and harden what other builders ship against these patterns before it reaches production — you're a checkpoint for security and reliability, not just a pattern author.

Requirements

5+ years of software engineering experience, with meaningful hands-on time in cloud infrastructure and platform engineering — not just consuming a platform someone else built.; Strong experience with AWS container services (ECS/Fargate or equivalent), load balancers, and IAM — you've run production services, not just deployed a demo.; Production experience with Terraform or another mainstream IaC tool, including keeping infrastructure and application code in cleanly separated repositories.; Experience implementing SSO/OIDC at the infrastructure layer (Okta, Auth0, or equivalent) so individual applications don't own their own auth.; Strong Python scripting ability — comfortable writing automation, tooling, and operational scripts, and reviewing application code.; Working knowledge of Docker — image builds, multi-stage builds, and registry management — as the packaging layer underneath ECS deployments.; Experience with CloudWatch (or equivalent) for logging, metrics, and alerting, since the role owns building metering and cost-tracking hooks into every service.; Working knowledge of API integration patterns and OAuth scoping — you understand the difference between declaring a security constraint and actually enforcing it at runtime.; Comfort operating in a fast-moving environment where the pattern library is still being written, not just followed.