Job Description
Do you know how to build bridges between IT Ops, QA and Development?
Can you easily move between the areas of the software lifecycle?
So please, take a few minutes and read your potential new job
You could join a global retail network that optimizes supply chains through innovative cloud technology, expert support, and data-driven partnerships.
You would join a team responsible for delivering highly available platform services and deployment automation that empower product engineering teams with secure, reliable, and cost-effective solutions, all while enabling faster product development.
You will leverage automation and advanced technologies to effectively manage complex failures and collaborates with various engineering groups to address potential risks at their source
The annual salary for this position ranges from $83,000 to $102,000. The specific salary offered will depend on the factors outlined below and may fall anywhere within this range.
Your Tasks will include:
- Design, implement, and maintain secure, highly available, and cost-efficient container orchestration platforms, including Kubernetes and ECS.
- Develop and optimize Continuous Integration and Continuous Delivery (CI/CD) pipelines to streamline and enhance deployment processes, enabling high efficiency for Product Engineering teams.
- Build and refine tools and patterns for monitoring and observability to strengthen failure detection, response, and recovery capabilities.
- Collaborate with Technology Engineering, Development, and Product Management teams to scale, improve, and support production systems and services.
- Partner with service teams to provide comprehensive documentation, knowledge sharing, architecture planning, capacity assessments, and recommendations for future optimizations.
- Engineer solutions aimed at failure prevention and minimizing the likelihood of system issues.
- Write clean, maintainable code, develop thorough test plans, and assess code quality while providing constructive feedback during code reviews.
- Design and operationalize AI agent infrastructure: Deploy and manage orchestration frameworks (e.g., LangChain, AutoGen) on enterprise platform infrastructure to automate complex, multi-step workflows—including self-healing pipelines, infrastructure drift detection, and automated on-call triage running on Kubernetes.
- Integrate AI coding assistants into platform engineering: Evaluate, configure, and govern AI-powered development tools (e.g., GitHub Copilot, Claude) to ensure secure, seamless integration within CI/CD pipelines, code review processes, and Infrastructure-as-Code (IaC) toolchains like Terraform and CloudFormation.
To be a good fit for the Platform Engineer opportunity, you will have:
- Minimum of 2 years experience in a Platforom Engineer or similar role
- Proficiency in Python and/or Golang with a strong software engineering mindset
- Experience managing and administering Linux systems
- Experience with Docker and Kubernetes
- Experience with AWS (EC2, RDS, Dynamo DB, Route53, Elastic Load Balancers, AMIs, IAM Roles, Ops Works, and Cloud Formation)
- Knowledge of or experience building CI/CD pipelines
- Experience with infrastructure as code concepts such as immutable and scalable infrastructure
- Solid understanding of networking systems as well as identity and authorization mechanisms
- Experience with using AI coding tools (GitHub, Copilot, Claude) to help Platform Engineering workflows
- Understanding of Agentic AI and MCP Servers
Keys to success:
- You have technical curiosity and able to take the initiative, contribute and propose new ideas
- Team working mindset is also important as you will be collaborating with colleagues from other departments
Reasons to join:
- Work in a collaborative environment with strong ambitions and goals
- Help evolve the company
- Global environment in an expanding team
- Hybrid work model
Sounds interesting? Send us your CV by applying to this page
The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.
The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).
Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288
Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.
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