
at Danske Bank
Investment BankingPosted 13 days ago
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**Chief Backend Engineer - AI & Observability (Python)** drives strategic initiatives in Danske IT's high-priority Infrastructure Reliability Engineering. You'll collaborate globally, empowering teams, and shaping AI-enabled observability solutions. Key responsibilities include co-owning platforms, enabling self-service capabilities, defining architectures, and driving AI advancements. Required skills: 7+ years of Python/Django/FastAPI, AWS/Kubernetes, REST API, Agile methodology, and hands-on AI experience. Lead backend engineering, mentor, and challenge norms constructively. Offer: competitive salary (4960-7440 EUR gross), comprehensive benefits, and professional growth opportunities.
- Compensation
- €4,960 – €7,440 EUR
- City
- Vilnius
- Country
- Lithuania
Currency: € (EUR)
Full Job Description
Location: Vilnius, Lithuania
Join us in building a better bank by driving impactful initiatives within Danske IT. You will be part of a highly prioritised IT area in the Group, focused on transforming the way we work.
Our goal is to accelerate technology innovation and improve our foundation, creating an automated, user-centred infrastructure and operations. We aim to enable as many people as possible to engage in sustainable automation. Automation is integral to our operations - it reflects our identity.
You will join a global team, including colleagues from across the world, characterised by a strong customer focus and a fun, collaborative spirit. As a valued member of the team, you will be trusted and empowered to drive meaningful changes towards becoming a simpler bank, delivering high-quality customer service, and shaping AI-enabled observability solutions that enhance transparency, reliability, and decision-making across our platforms.
In collaboration with IT engineers and product owners across the Infrastructure Reliability Engineering (IRE) organisation, you will help mature agile practices within our squads, empower colleagues, and support IRE in becoming a leader in standardised automation solutions. You will also contribute to advancing AI technologies and intelligent agents to improve observability, automation, and self-service capabilities.
You will:
- Coown, maintain, and evolve infrastructure automation and observability platforms together with esteemed colleagues, acting as an integral part of the team
- Enable selfservice capabilities for Infrastructure Reliability Engineering and the wider organisation through robust backend platforms
- Define departmentwide software engineering architectures, technical approaches, standards, and practices as part of engineering guilds
- Design and implement backend services following OOP principles, promoting code reusability, readability, and standardisation
- Ensure code is clean, welldocumented, and maintainable, minimising the need for reverseengineering over time
- Champion an automationfirst engineering mindset across platforms and teams
- Drive the technical AI agenda for observability, including architectural design and handson development of AI agents that leverage telemetry data
- Act as a role model and goto technical authority for backend engineering and architecture for Senior Software Engineers and other team members
About you:
7+ years of experience with Python for backend development, including strong hands-on experience with Django and modern frameworks such as FastAPI
In-depth experience with AWS and Kubernetes, including designing and operating scalable production-grade backend platforms
Strong understanding of REST API standards and best practices, with experience building API-first backend services
Experience with Agile ways of working, including Git flow, code review culture, multiple development environments, CI/CD pipelines, and automated testing
Familiarity with SOLID principles, Clean Code, and modern software architectural patterns such as microservices and event-driven architectures
Solid communication skills, upper-intermediate English proficiency, and a strong sense of ownership with the ability to challenge existing norms constructively
Self-driven mindset with a strong focus on continuous learning and a willingness to share knowledge and mentor others within the team
Demonstrable experience in automating infrastructure and improving programmability at enterprise scale
Hands-on experience designing and building AI agents or AI-enabled backend components, with practical exposure to generative AI or machine-learning-driven systems; knowledge of Go is considered beneficial
"Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees."
We offer:
Monthly salary range from 4960 EUR to 7440 EUR gross (based on your competencies relevant for the job).
Additionally, each Danske Bank employee receives employee benefits package which includes:
- Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
- Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
- Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
- Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
- Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.
See all the benefits HERE.
Your title in job contract will be Software Engineering.
If you're interested in this role and joining my team, feel free to contact me - Aleksandr Guzejev via LinkedIn, and I will answer your questions!




