Software Engineer 2

Job description:

• We are part of Allegro and provide advanced IT systems for the logistics industry.

• AI-First Engineering: We build AI agents and automation tools that effectively eliminate repetitive work - on the scale of Allegro’s logistics operations.

• Modern tech stack: Python, C#, PostgreSQL, Azure AKS, n8n, LLM APIs (GPT, Claude, Gemini), GitHub Actions.

• Autonomy and ownership: We live by the “you build it, you run it” philosophy. We’re a small, autonomous team that decides for itself which tools to use and how to approach problems.

• Join us-our in-house AI & Automation team. We’re not a traditional IT department. We build products used by support specialists across the entire Allegro One ecosystem (One Box, One Kurier, the PUDO network). You have the chance to join the team at an early stage and actively shape what the team will become in a year. This is an excellent opportunity for dynamic growth and to have a real impact on the technical direction.

#Goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.

• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things.

• You get to choose which technology solves the problem and you are responsible for what you create.

• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.

• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).

• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.

• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.

• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

• Send us your CV and... see you at Allegro!

We are looking for people with:

• Hands-on experience developing software in Python and C#, with the ability to independently write, debug, test and review code.

• Practical knowledge of SQL and PostgreSQL, including queries, joins and data analysis.

• Experience with the full software development lifecycle, including testing, CI/CD, deployment, monitoring and troubleshooting.

• Daily experience using AI tools such as GitHub Copilot, GPT or Claude as part of your engineering workflow.

• A strong sense of ownership and the ability to coordinate and deliver larger tasks within a team project.

• The ability to make pragmatic technical decisions, identify risks and dependencies, and adapt solutions to ambiguous or complex problems.

• The ability to connect technical decisions with operational and business outcomes and communicate effectively with non-technical stakeholders.

• A focus on code quality, maintainability, reliability and observability.

• A willingness to share knowledge and support less experienced team members.

• English proficiency at B2 level.

In your daily work, you will handle the following tasks:

• Design, build and maintain AI agents and automation workflows used by support teams across the Allegro One ecosystem.

• Develop backend services and integrations in Python and C#, working with APIs and internal logistics systems.

• Work with PostgreSQL to write queries, analyse operational data and build tools supporting diagnostics and decision-making.

• Take ownership of solutions end to end - from understanding the operational problem and designing the solution to implementation, testing, deployment, monitoring and continuous improvement in production.

• Collaborate with support specialists, product and engineering stakeholders to turn repetitive processes into reliable software solutions.

• Use LLM APIs such as GPT, Claude and Gemini, as well as AI-assisted engineering tools, to automate repetitive work and improve development efficiency.

• Improve delivery and developer workflows using GitHub Actions, Docker, Azure AKS/Kubernetes and other tools selected by the team.

• Participate in code reviews, technical design discussions, troubleshooting, incident resolution and knowledge sharing.