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Your Impact The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes (using Python, Workato, and Claude Code) into secure, scalable, production-grade enterprise systems. This role is a vital link between the AI Innovation Lab and production engineering, evolving experimental Minimum Viable Products (MVPs) into long-term corporate capabilities. What You'll Do Production Engineering and Deployment: Re-architect initial AI prototypes (Python, Workato, Claude Code) for secure, scalable enterprise deployment. This includes designing cloud infrastructure (AWS/Azure), implementing CI/CD pipelines, containerizing applications (Docker/Kubernetes), developing integration APIs, and setting up comprehensive monitoring and observability for all production AI systems. Security and Compliance: Ensure secure deployment by design, implementing robust secrets management and protecting data through encryption at rest and in transit. This role also establishes comprehensive audit logging, partners on critical security reviews, and validates ongoing compliance with enterprise policies and regulatory standards. Solution Architecture and Design: The role involves reviewing prototypes to design production-ready and scalable architectures for 1,000+ users, while collaborating on technology selection and integration patterns. Additionally, the engineer establishes engineering standards and best practices and creates comprehensive technical documentation. Developer Enablement and Support: This role also involves supporting and mentoring non-engineering teams, including code review and troubleshooting for prototype solutions, alongside building internal developer platforms and reusable infrastructure-as-code templates to accelerate development. A final key responsibility is training the team on DevOps practices and creating clear technical documentation for all stakeholders. Who You Are 5-8 years of software engineering experience focusing on production systems, full-stack development (Python/TypeScript), and RESTful API design. Deep expertise in cloud infrastructure (AWS/Azure), containerization (Docker/Kubernetes) and building robust DevOps CI/CD pipelines. Proven track record of transitioning MVPs to production environments or contributing to platform engineering and developer productivity. Proficient in Python, JavaScript/TypeScript, and modern framework. Strong Python skills and deep expertise in cloud engineering (AWS/Azure equivalents), Infrastructure-as-Code (Terraform/CloudFormation), and CI/CD tools (e.g., GitHub Actions, Jenkins). Proficiency in container technologies (Docker, Kubernetes/EKS), relational/NoSQL databases (PostgreSQL, Redis), and designing APIs and integration patterns (REST, OAuth, API gateways). Even Better If You Have… Expertise in specialized AI/ML platforms (LangChain, LlamaIndex, RAG) and integration tools (Workato, Zapier). Operational experience with Cloud Security and Observability tools, including AWS IAM, Secrets Manager, and monitoring systems like DataDog and Grafana. Familiarity with Serverless architecture (Lambda) and modern Frontend frameworks (React, Vue). Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers. Perks of DISCO Open, inclusive, and fun environment Benefits, including medical, dental and vision insurance, as well as 401(k) Competitive salary plus RSUs Flexible PTO Opportunity to be a part of a company that is revolutionizing the legal industry Growth opportunities throughout the company About DISCO DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role. Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us! We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.