LITIT logo
LITIT

We deliver quality through client engagement and talent excellence

AI Cloud Tech Lead

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 2024H1B No SponsorCompany SiteLinkedIn

Location

Lithuania

Posted

2 days ago

Salary

€6K - €7.5K / month

Seniority

Senior

Bachelor DegreeEnglishAWSCloudPython

Job Description

AI Cloud Tech Lead

LITIT

• Lead the design and delivery of AI enabled cloud solutions on AWS. • Work with client Project Owners, business stakeholders, architects, and platform teams to understand requirements and define solution direction. • Translate client needs into technical requirements, user stories, implementation plans, and delivery roadmap. • Guide engineering teams working with Python, AWS Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and AWS CDK. • Design cloud native backend services and integrations between internal systems and external APIs. • Define secure and scalable patterns for GenAI, LLM integrations, AI agents, and tool based architectures. • Support technical decision making across architecture, infrastructure, backend services, security, and operations. • Review designs and implementation to ensure quality, maintainability, security, and scalability. • Collaborate with product, platform, security, and delivery teams to align solution implementation with project goals. • Identify technical risks, dependencies, and delivery blockers, then help resolve them. • Contribute to hands on implementation, troubleshooting, and technical problem solving when required. • Mentor engineers and support the team in following strong engineering and cloud practices. • Prepare and lead technical workshops, solution reviews, demos, and client discussions. • Ensure secure usage of LLMs, including prompt handling, secrets management, logging practices, and prevention of sensitive data exposure.

Job Requirements

  • Strong experience in cloud engineering and cloud solution delivery on AWS.
  • Experience leading technical teams or acting as a technical owner for cloud based projects.
  • Strong understanding of AWS services such as Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and CDK.
  • Strong Python backend development background.
  • Experience designing and implementing REST APIs and cloud native backend services.
  • Experience with infrastructure as code, preferably AWS CDK.
  • Experience integrating internal systems with external APIs and enterprise tools.
  • Practical understanding of GenAI and LLM integration patterns, preferably using Amazon Bedrock or similar platforms.
  • Understanding of AI agents, tool use patterns, MCP style architectures, or similar orchestration concepts.
  • Strong knowledge of secure cloud architecture, IAM, secrets management, observability, scalability, and operational reliability.
  • Ability to communicate clearly with client stakeholders, Project Owners, architects, product teams, and engineers.
  • Ability to structure unclear requirements into technical scope, stories, priorities, and delivery plans.
  • Strong troubleshooting skills in distributed cloud environments.
  • Experience with Git or GitLab based collaborative development workflows.
  • Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.

Benefits

  • Learning opportunities with compensated certificates, learning lunches, and language lessons.
  • Chance to switch projects after one year.
  • Team building twice a year.
  • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
  • Remote work opportunities.
  • Flexible time off depending on a project.
  • Seasonal activities with colleagues.
  • Additional health insurance and loyalty days for Lithuanian residents.
  • Referral bonuses.
  • Recognition of important occasions of your life.

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