Job Description

Work Schedule

Other

Environmental Conditions

Office

Thermo Fisher Scientific is providing a fantastic opportunity for individuals to join as a Systems Developer. This role involves a critical part in conducting systems analysis, constructing, developing, testing, and supporting moderately complex technical information system components.

Education/Experience:

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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

Major Job Responsibilities:

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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.

Knowledge, Skills and Abilities:

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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:

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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:

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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).

Working Hours:

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India: 05:30 PM to 02:30 AM IST

Philippines: 08:00 PM to 05:00 AM PST

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