AI Back-End Engineer - Theseus Group

About Us: Theseus Group specializes in automating and enhancing business processes using
cutting-edge AI and software solutions. Our mission is to empower businesses by delivering
faster progress with fewer human dependencies, enabling them to streamline operations and
solve complex problems at scale

Job Overview
We are seeking a talented Infrastructure/Back-End Engineer to join our growing team. In this
role, you will be responsible for deploying and managing scalable infrastructure, leveraging
AWS services, and using AI to accelerate the CI/CD process and improve code quality. You will
be responsible for designing and managing robust, high-performance databases, ensuring data
consistency, integrity, and security across distributed systems. The role will focus on the
effective use of AWS RDS and other DBMS technologies to optimize data storage, retrieval, and
management at scale.

Key Responsibilities
- Ensure data integrity and security, employing best practices in database management,
including backup, replication, and disaster recovery planning.
- Optimize database performance through query optimization, indexing, and partitioning
strategies, ensuring high availability and low latency for mission-critical applications.
- Work closely with data engineers and software developers to design and integrate
scalable data pipelines, ensuring seamless access to data across distributed systems.
- Monitor and troubleshoot database issues proactively, implementing performance
tuning, capacity planning, and automated alerts to ensure uninterrupted operations.
- Lead the migration and integration of legacy databases into modern cloud
infrastructure, ensuring data compatibility and minimal downtime during the process.
- Architect, build, and maintain scalable cloud infrastructure on AWS, ensuring high
availability and performance across all environments.
- Work closely with engineering teams to integrate backend services with the frontend,
ensuring seamless functionality and performance.
- Automate infrastructure setup and management using tools like AWS CloudFormation
via the AWS CDK
- Stay updated with the latest cloud technologies and best practices to ensure efficient
and cost-effective use of AWS resources.

Required Skills
- 3+ years of experience with database management systems, especially with AWS RDS
(PostgreSQL, MySQL).
- Strong proficiency in SQL and database performance optimization techniques (e.g.,
indexing, caching, and partitioning).
- Experience with database replication, failover strategies, and disaster recovery planning.
- Familiarity with NoSQL databases (e.g., DynamoDB, MongoDB) and the ability to
integrate them as needed for specific use cases.
- Experience with database migration and transformation tools, ensuring compatibility
and minimal disruption during transitions between systems.
- Strong knowledge of DBMS security best practices, including encryption, access control,
and auditing.
- Proficiency with AWS services, including ECS, EKS, RDS, S3, Lambda, VPC, and EC2
among others
- Experience with infrastructure as code concepts
- Strong problem-solving skills and experience with iUpgrade to see actual info management and
troubleshooting.
Preferred Skills
- Familiarity with containerization technologies like Docker and Kubernetes.
- Experience with data warehousing solutions (e.g., Redshift, Snowflake) to support
large-scale data analytics workloads.
- Knowledge of ETL (Extract, Transform, Load) processes and best practices for
integrating large data sets into structured databases.
- Familiarity with database automation and orchestration tools, such as Liquibase, Flyway,
or AWS Database Migration Service, to streamline database updates and migrations.
- Experience with microservices architecture and designing distributed systems.
- Familiarity with DevOps practices, including CI/CD and automated testing.
- Familiarity with Python and Typescript