Distinguish Engineer - API & Data
Fidelity International (company site, opens in a new tab)8–10 yrsGurugramOn-siteDirect career pageEst. 30–55 LPA
Posted 2d ago
Reach people at Fidelity International
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Fidelity International you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Deliver technology solutions that align with business priorities, focusing on API and data engineering within the Data Foundations team.
- Collaborate with scrum teams, operations, and business stakeholders to create value-focused solutions and influence technical decisions.
- Improve productivity by automating tasks, optimizing infrastructure costs, and implementing efficient database designs.
Minimum Requirements
- 8-10 years of software and data engineering experience with strong hands-on skills in API development and data technologies.
- Mandatory strong software engineering experience in Java and/or Python, with Java experience required.
- Proven expertise in AWS cloud-native solutions, Kubernetes, Docker, RESTful API design, and database technologies such as Snowflake and/or Oracle including SQL and tuning.
- Work Experience Required: 8-10 years
- Notice Period: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in designing and running resilient, observable cloud-native applications with full SDLC on containerized platforms.
- Strong knowledge of security engineering standards (OAuth 2.0/OIDC, RBAC, secrets management) particularly for financial data.
- Proficient with modern development practices including TDD, CI/CD automation, infrastructure as code (Terraform), and incorporating AI-assisted development tools and generative AI technologies.