Note: The job is a remote job and is open to candidates in USA. Saransh Inc is a leading financial services enterprise that is building a SWAT-style Forward Deployed Engineering team to tackle critical technical challenges. The Senior / Lead Software Engineer will play a key role in delivering AI-assisted software solutions, resolving production issues, and enhancing system reliability in a high-impact, high-autonomy environment.
Responsibilities
- Rapidly onboard onto unfamiliar codebases, build and run applications locally, and deliver working solutions within tight timelines
- Diagnose and resolve complex production issues across multiple platform teams
- Own end-to-end delivery of features, including:
- Implementation
- Testing (integration-level)
- CI/CD pipeline integration
- Work across distributed systems and enterprise-scale microservices architectures
- Use AI tools (e.g., Copilot, Claude Code or similar) to:
- Generate and iterate on code
- Create and refine test cases
- Accelerate debugging and development workflows
- Critically evaluate AI-generated output and correct gaps, assumptions, or inaccuracies
- Configure, troubleshoot, and improve build pipelines (Gradle/Maven, CI workflows)
- Collaborate with platform teams to resolve incidents and prevent recurrence
- (Lead role) Coordinate SWAT engagements and drive cross-team resolution efforts
Skills
- Strong experience working with enterprise-scale distributed systems
- Proficiency in: Java (Kotlin is a plus), Spring Boot, microservices architectures
- Proven ability to take a system from: clone build debug modify test integrate into CI pipeline independently
- Hands-on experience with: CI/CD pipelines (e.g., GitHub Actions or similar), build tooling (Gradle/Maven), environment and dependency management
- Strong debugging and root cause analysis skills across: build failures, dependency conflicts, runtime issues
- Practical experience using AI tools in software development workflows
- Ability to work effectively in: high-pressure environments, high ambiguity with minimal guidance
- Strong communication and collaboration skills
- Experience beyond basic autocomplete usage of AI tools, including: structured prompt writing, multi-step AI-assisted workflows, iterating on generated outputs
- Ability to: validate correctness of AI-generated code, identify gaps or incorrect assumptions, refine outputs to production-quality level
- Understanding of when AI can accelerate development vs when manual engineering is required
- Experience with agent-based or agent orchestration tools (e.g., Claude Code, LangGraph, similar)
- Familiarity with advanced developer environments (e.g., tmux, Warp, scripting workflows)
- Experience with Go (Golang)
Benefits
- 100% Remote (US)
Company Overview