Software Engineer II
Deep Sync2+ yrsRemoteDirect career pageEst. 8–18 LPA
Posted 1d ago
Reach people at Deep Sync
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 Deep Sync 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
- Design, develop, test, deploy, and support large-scale data pipelines and platform services processing hundreds of millions to billions of records.
- Build and own end-to-end features including distributed data processing jobs, APIs, integrations with external systems, and monitoring tools to ensure reliability.
- Contribute to infrastructure-as-code, CI/CD pipelines, perform code reviews, and participate in incident response and knowledge sharing.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 2+ years professional software engineering experience building and supporting production software.
- Strong programming skills in at least one modern language; solid SQL proficiency across relational databases and/or cloud data warehouses.
- Experience with distributed data processing at scale (e.g., Spark) and hands-on with a major cloud platform (ideally AWS) including object storage, IAM, and compute services.
Ideal Candidate Profile
- Experienced working with large-scale, distributed data systems integrating cloud-native and on-premises components with production reliability focus.
- Practices strong software engineering and production habits including automated testing, debugging with logs/metrics, version control, and code reviews.
- Comfortable with cloud infrastructure tools (e.g., AWS, Terraform), data orchestration, and building observable, recoverable system integrations.