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Senior Backend Engineer(m/w/x)
Building data infrastructure and distributed execution engines for an AI decision-making platform in financial services. Proven track record leading complex projects and deep Python expertise required. Access to tech investor network, self-development budget, Apple MacBook Pro.
Anforderungen
- 5+ years professional software engineering experience
- Proven track record leading complex projects (2+ years)
- Deep Python expertise
- Backend systems building on cloud platforms (AWS)
- Strong system design skills
- Comfort making architectural trade-offs
- Depth in data pipelines/storage, event-driven architectures, caching/performance, or serverless systems
- Strong communication skills
- Strong collaboration skills
- Ability to align technical/non-technical stakeholders
- Ability to work hybrid (Berlin, London, or Iasi)
- Experience with Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark
- Streaming/real-time data pipelines (Kinesis)
- Experience with EventBridge, SQS, or similar messaging systems
- Multi-level caching strategies (Redis, DynamoDB, in-memory)
- Serverless at scale (Lambda, SAM, CloudFormation)
Aufgaben
- Build data infrastructure for the platform
- Design distributed execution engines
- Build backend services on AWS using Python
- Operate backend services on AWS
- Develop event-driven pipelines for production
- Leverage agentic AI tools daily
- Address backend challenges (latency, reliability, scale)
- Architect systems end-to-end
- Implement system solutions
- Deploy critical systems
- Monitor system performance
- Respond to system incidents
- Make key architectural decisions
- Conduct thorough code reviews
- Mentor engineering team members
- Improve development tooling
- Improve development processes
- Collaborate with Product and Design teams
- Shape future product direction
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Apache Iceberg
- AWS Athena
- AWS Glue
- Apache Spark
- Kinesis
- EventBridge
- SQS
- Redis
- DynamoDB
- Lambda
- SAM
- CloudFormation
Benefits
Mentoring & Coaching
- Mentorship and professional growth
Startup-Atmosphäre
- Access to tech investor network
Sonstige Zulagen
- Self-development budget
Moderne Technikausstattung
- Apple MacBook Pro
- Home office setup
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Senior Backend Engineer(m/w/x)
Building data infrastructure and distributed execution engines for an AI decision-making platform in financial services. Proven track record leading complex projects and deep Python expertise required. Access to tech investor network, self-development budget, Apple MacBook Pro.
Anforderungen
- 5+ years professional software engineering experience
- Proven track record leading complex projects (2+ years)
- Deep Python expertise
- Backend systems building on cloud platforms (AWS)
- Strong system design skills
- Comfort making architectural trade-offs
- Depth in data pipelines/storage, event-driven architectures, caching/performance, or serverless systems
- Strong communication skills
- Strong collaboration skills
- Ability to align technical/non-technical stakeholders
- Ability to work hybrid (Berlin, London, or Iasi)
- Experience with Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark
- Streaming/real-time data pipelines (Kinesis)
- Experience with EventBridge, SQS, or similar messaging systems
- Multi-level caching strategies (Redis, DynamoDB, in-memory)
- Serverless at scale (Lambda, SAM, CloudFormation)
Aufgaben
- Build data infrastructure for the platform
- Design distributed execution engines
- Build backend services on AWS using Python
- Operate backend services on AWS
- Develop event-driven pipelines for production
- Leverage agentic AI tools daily
- Address backend challenges (latency, reliability, scale)
- Architect systems end-to-end
- Implement system solutions
- Deploy critical systems
- Monitor system performance
- Respond to system incidents
- Make key architectural decisions
- Conduct thorough code reviews
- Mentor engineering team members
- Improve development tooling
- Improve development processes
- Collaborate with Product and Design teams
- Shape future product direction
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Apache Iceberg
- AWS Athena
- AWS Glue
- Apache Spark
- Kinesis
- EventBridge
- SQS
- Redis
- DynamoDB
- Lambda
- SAM
- CloudFormation
Benefits
Mentoring & Coaching
- Mentorship and professional growth
Startup-Atmosphäre
- Access to tech investor network
Sonstige Zulagen
- Self-development budget
Moderne Technikausstattung
- Apple MacBook Pro
- Home office setup
Über das Unternehmen
Taktile
Branche
FinancialServices
Beschreibung
The company is building a leading software platform for automated decisioning, helping to catch fraud and expand access to credit.
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