Systems Developer

As a Systems Developer at Thermo Fisher Scientific, you will play a critical role in conducting systems analysis, constructing, developing, testing, and supporting moderately complex technical information system components. **Key Responsibilities:** - Design and develop backend system components and services using AWS and Python within a collaborative team environment. - Perform systems analysis and prepare documentation including requirements, specifications, test plans, and user manuals. - Perform unit and system testing, and assist with validation testing as required. - Collaborate with DBAs to assist with database composition and optimization, especially for AWS Redshift and other RDBMS platforms. - Collaborate with Operations staff for application deployment and support, using CI/CD pipelines where applicable. - Analyze and resolve support requests from business partners, including training when required. - Ensure development activities meet quality and compliance standards. - Apply company policies and procedures to resolve moderately complex issues using good judgment. - Build productive working relationships across internal teams with occasional external interactions. - Leverage AI-assisted development tools to boost coding efficiency, refactoring, and documentation. - Deploy secure and scalable AWS networking and security structures (IAM, VPC, subnets, etc.). - Integrate applications with relational databases and assist in data processing workflows. **Qualifications Required:** - Bachelor's degree or equivalent experience and relevant formal academic/vocational qualification - Previous roles showcasing the proficiencies necessary to fulfill the job responsibilities (similar to 3+ years) or an equivalent blend of education, training, & experience **Additional Company Details:** Thermo Fisher Scientific offers a fantastic opportunity for individuals to grow and excel in a collaborative and innovative work environment. The company emphasizes on quality, compliance, and continuous improvement, fostering a culture of learning and development. In this role, you will need to have: - Client-focused approach with strong interpersonal and communication skills - Ability to multitask and maintain attention to detail - Hands on experience with AWS services - Proficiency in relational databases such as Postgres and Redshift - Strong analytical thinking and problem-solving capabilities - Understanding of data warehousing concepts and architecture - Ability to collaborate effectively with cross-functional teams **Must-Have Skills:** - AWS software engineering - Hands-on expertise with core AWS services such as Lambda, Step Functions, ECS/Fargate (distributed processing), ECR (Docker), SNS, and DynamoDB. - Python programming - Strong coding ability in Python for backend services, automation, and data processing. - Strong knowledge of IAM, VPCs, subnets, security groups, and DNS required for AWS networking and security architecture. - Proficiency in combining applications with relational databases, including expertise in SQL and RDBMS integration; familiarity with AWS Redshift is highly beneficial. - AI-assisted development - Demonstrated ability to effectively employ AI tools (e.g., code generation, refactoring, documentation) to enhance development speed and quality. **Good-to-Have Skills:** - CI/CD with GitHub Actions - Familiarity with GitHub Workflows (Actions) for automated builds, testing, and deployment. - Infrastructure as Code - Familiarity with AWS CDK (TypeScript is preferred). - Data Warehousing - Exposure to common warehouse patterns and practices (ETL/ELT, dimensional modeling, performance tuning). The work schedule for this position is as follows: - India: 05:30 PM to 02:30 AM IST - Philippines: 08:00 PM to 05:00 AM PST,