Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 9, 2026.
At Levi9, we are passionate about what we do. We are looking for skilled team players who make change happen. Are you passionate about building cloud-native software and changing the way it is built with AI? Join Levi9 - a dynamic team of experts delivering cloud-native solutions for clients ranging from disruptive startups to global enterprises.
We're a strong community, working with modern JavaScript and TypeScript technologies and deploying on AWS, GCP, and Azure, often leveraging serverless architectures. As an Experienced Software Engineer, you will own products end to end - from architecture and design, through implementation and release, to monitoring and scaling.
We are looking for an experienced engineer whose core depth is backend development in TypeScript on AWS serverless, who builds software with AI agents every day, and who brings a T-shaped mindset: strong in backend, and confident owning the infrastructure (AWS CDK) and CI/CD pipelines of the services they build, without depending on DevOps for every change.
Project, teams, requirements & duties
What you will be working on?
Design, build, and maintain production-grade, event-driven services on AWS - Lambda, API Gateway, Step Functions, EventBridge, SQS, DynamoDB, and Aurora PostgreSQL
Own features end to end - from refinement and architecture, through implementation and testing, to release and post-release monitoring
Own the infrastructure and delivery of what you build - define it in AWS CDK (TypeScript), and build and maintain the CI/CD pipelines that test, scan, and deploy it across environments
Use AI coding agents such as Claude Code every day through the full SDLC: spec, plan, build, test, and review
Write and refine specifications (PRDs, functional designs) that AI agents can build from, then review and correct the code they produce
Build and improve the team's AI setup - shared context, skills, subagents, hooks, and MCP tools - so the whole team works faster and more consistently
Add guardrails, such as tests, quality gates, and verification steps, so AI-written code is safe to ship
Build domain APIs and workflows that AI agents can use as tools, safely and under policy control
Write robust unit, integration, and end-to-end tests to ensure code quality and reliability
Collaborate closely with project managers, PO, analysts, QA, and DevOps engineers to deliver reliable solutions
Support operational excellence through practices like code review and pair programming
Stay ahead of the curve by keeping up with AI engineering practices and integrating new tools where they add value
Help other engineers learn to use AI tools well, and mentor less experienced developers
What do we expect from you?
5+ years of experience in the software development life cycle, including coding standards, code reviews, source control management, building processes, testing, and operations experience
Strong commercial experience building backend services in TypeScript and Node.js, running in production
Hands-on experience with AWS serverless services - Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, DynamoDB, or similar
Experience with infrastructure as code, preferably AWS CDK in TypeScript (CloudFormation or Terraform also count)
Experience building and maintaining CI/CD pipelines (GitHub Actions, Concourse, GitLab CI, Jenkins, or similar), including automated tests, security scans, and deployments across environments
Real experience with AI coding tools such as Claude Code, Cursor, or GitHub Copilot, beyond autocomplete
An understanding of AI SDLC practices: context engineering, prompts and specs as code, agent workflows, and human review points
A critical mindset and a healthy skepticism toward AI - you understand where it goes wrong and validate its work before it ships, keeping the quality, security, and review bar high
Experience designing and consuming RESTful APIs and building event-driven architectures
Experience with testing using tools like Jest, Vitest, or similar
Familiarity with both SQL and NoSQL databases (e.g. PostgreSQL, DynamoDB)
Experience with logging, monitoring, and observability tools (Datadog, CloudWatch, or similar)
Proficiency with version control systems, especially Git
Solid understanding of object-oriented programming (OOP) concepts
Ability to analyze and troubleshoot technical issues across services and environments
Good communication skills in English, both written and spoken
Nice to have:
Knowledge of Amazon Bedrock AgentCore, or experience running AI agents in production on AWS
Experience with LLM APIs, RAG, tool use, or MCP
Experience with agent frameworks (Strands Agents, LangGraph, or similar), AI evaluations, and guardrails
T-shaped experience beyond backend, for example: modern web frontend - React, Next.js, Python, Cloud security - IAM, KMS, secrets management (e.g. Vault)
Experience with workflow orchestration and event-driven patterns, such as sagas and the transactional outbox
Experience working in regulated environments, such as financial services
AWS certifications (Developer, Solutions Architect, or DevOps Engineer)
Our projects & stack:
We build cloud-native, event-driven solutions with a strong focus on AWS serverless and AI-driven development. Our stack includes: TypeScript and Node.js, AWS serverless services, PostgreSQL and DynamoDB, AWS CDK and CI/CD pipelines, AI coding agents throughout the SDLC.
Our teams:
Depending on the project, our teams typically include software engineers, AI engineers, QA engineers, and a delivery manager, while the Product Owner is usually on the client side.
Your position in the organization:
This position will be a part of one of our departments in Belgrade, and your department Leads will be there to guide you and support your career development.

