- Location
- India-Chennai (Ascendas Tech park)
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Source
- Workday
Description
A Senior Software Engineer I is an independent contributor who delivers moderately complex, production-quality software within a defined product or service scope.
They translate business requirements into secure, maintainable systems that support customer and business outcomes.
They are recognized as knowledgeable in core systems within their team and contribute to engineering quality, operational health, and team capability under guidance.
Technical Excellence:
- Produces clear design documentation using the architectural principles.
- Builds systems with solid foundations in performance, resilience, extensibility, and security
- Applies testing strategies that improve deployment confidence
- Makes pragmatic trade-offs between speed, quality, and maintainability within defined constraints.
- Demonstrates strong code quality and provides constructive, actionable feedback within the team.
- Introduces small-scale improvements to patterns, tools, or techniques within their immediate team.
- Solves moderately complex technical problems with pragmatic, well-reasoned solutions.
- Shares technical knowledge with peers and contributes to team-level practices.
Operational Excellence:
- Takes responsibility for the operational health of components within their scope.
- Uses monitoring, logging, and metrics to identify potential issues.
- Builds systems with operational considerations in mind (fault tolerance, recoverability).
- Contributes to incident response and post-mortem analysis.
- Maintains runbooks, operational documentation, and knowledge-sharing material
- Actively reduces technical debt in assigned areas, improving stability and maintainability.
- Ensures security and software updates are applied to owned systems.
- Incident frequency and MTTR decrease with team support.
Product Delivery & Business Impact:
- Breaks down requirements into technically feasible tasks.
- Delivers high-quality software with predictable cycle times and low change failure rates under guidance.
- Collaborates with Product to align solutions to user and business outcomes
- Reduces delivery risk through thoughtful design and incremental validation.
- Identifies opportunities to simplify systems and remove unnecessary complexity.
- Contributions directly support measurable business and customer outcomes
- Delivery is predictable with low change failure rates.
- Technical solutions meet expected reliability, cost, and time-to-market goals.
Leadership & Collaboration:
- Communicates technical topics clearly to engineers and immediate stakeholders.
- Synthesizes peers' input to make pragmatic recommendations.
- Builds strong working relationships within the team and with close cross-team partners.
- Demonstrates accountability, ownership, and bias for action.
- Provides mentorship and guidance to less-experienced engineers through code reviews and pair programming.
- Stakeholders trust their technical recommendations
Qualifications:
- Typically 4+ years of professional software engineering experience
- Proven delivery of large complex global multi-tenant production systems across multiple components
- Experience translating ambiguous requirements into scalable solutions
- Experience working in Agile cross-functional product development teams
Technical Skills:
- Strong proficiency in C# (.NET), JavaScript/TypeScript (React), and SQL (PostgreSQL).
- Strong system design skills, including SOLID, design patterns, API design, DDD, and event-driven architectures.
- Experience designing and building modern web applications with React, Vite, REST, and GraphQL.
- Experience building and operating cloud-native applications on AWS (EC2, Lambda, S3, SNS, SQS, Elastic Beanstalk), with a focus on reliability and observability.
- Champions testing, DevSecOps, CI/CD (GitHub Actions), and Secure SDLC practices.
- Proficient with observability and analytics tools such as Splunk and Mixpanel.
- Proficiency with AI-assisted development using GitHub Copilot, Amazon Bedrock, and agentic AI workflows.
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