Senior Software Engineer

Role & responsibilities

Analysis & Design:

• Analyses impact of requirements and works with senior team members on software solutions. Must consider usability, extensibility, efficiency, and performance during all phases of development. Builds secure, maintainable, testable, and evolvable software. Participates in designing software solutions and prepares technical documentation. Participates in design reviews. Contributes to the product backlogs. Adopts Enterprise initiatives as required. Helps develop business relationships and integrate activities with other IT departments as appropriate to ensure successful implementation and support efforts.

Development:

• Estimation: Develops technical estimates and timeframes without having complete information and provides confidence level in estimate.
• Coding: Designs and builds complex business applications and prepares technical specifications to develop software solutions. Adopts FM Global best practices, architectural principles, and security standards. Develops software to transform and migrate data across environments. Actively participates in peer code reviews and is responsible for code quality.
• Test Automation: Responsible for writing pre-deployment automated tests for own delivered code. Participates in testing and debugging of overall system as required. Reviews automated test code to ensure appropriate test coverage. Demonstrates ability to setup and monitor automated tests in the CICD pipeline.
• Support: Supports effort to implement application in production and support post-production. Development work includes detailed, high quality documentation at appropriate level to allow for maintenance and support. Supports reduction of technical debt and mitigates risks associated with upgrades.

Research:

• Participates in continuous improvement through experimentation to stay abreast of the changing technological landscape and presents value to the product organization. Engages in delivery of applicable enterprise initiatives. Participates within learning forums. Understands the technology/business landscape.

Leadership:

• Demonstrates and continuously broadens technical capabilities and domain knowledge. Enable successful outcomes on teams by proactively identifying and raising transparency of impediments. Mentors junior team members. Fosters teamwork and excellent communication among team members. Provides meaningful feedback.

Skill and Experience:

• 3+ years of experience required to perform essential job functions.
• Additional Experience Qualifier (optional): 5+ years of application development experience with large scale business applications in a fastpaced iterative development environment.
• 3+ years designing, developing, and implementing business applications from business concept through production.
• Object-oriented design, development, and implementation of business applications in current computing architectures.
• Working knowledge of some of the relevant technologies: front end tools, middleware, Databases, ORMs, development frameworks, design patterns, API design, Test Automation, DevOps, Cloud Architecture, and Enterprise Integration Patterns.
• Ability to demonstrate skills in solving complex problems within the scope of the team.
• Strong analytical skills preferred.
• Ability to develop accurate estimates for complex solutions.
• Strong interpersonal skills are required.
• Strong work ethic and ability to demonstrate personal accountability for successful product delivery.
• Strong verbal and written communication skills with an ability to translate technical concepts to the appropriate level of the audience.
• Ability to work self-directed as part of a cross-functional team and shows commitment to the product and team.
• Demonstrates a sense of urgency in the team and focuses on efficient delivery.
• Ability to present technical concepts is desired.

Must Have Skills:

• Spec Consumption and Implementation: Read, implement, and update structured specs (Markdown, JSON, YAML) that drive AI-assisted tasks, ensuring specs map cleanly into repo structure, work items, and pipelines.
• Toolchain Integration Fundamentals: Connect AI workflows to core engineering tools (Git, pull requests, CI builds, artifact stores), understanding triggers, webhooks, service connections, and basic auth patterns.
• AI Agent Plug-In” Development: Implement small, well-scoped agent capabilities (codegen helper, test generator, PR summarizer) that integrate into IDE extensions or pipeline steps. CI/CD Wiring for AI Steps: Add AI-driven steps into build pipelines (lint, unit tests, spec validation, doc generation), with reliable fallbacks when AI steps fail or are skipped.
• Repo and Branching Hygiene for AI Workflows: Follow branching strategies and PR conventions that enable automated review agents, consistent diffs, and traceable spec-to-code changes.
• Integration with Quality and Security Scanners: Hook testing, SAST, dependency scanning, and quality gates into the pipeline so AI-generated output is evaluated using the same automated guardrails as human code.
• API and Event-Driven Integration Patterns: Use basic integration patterns (REST, events, message queues) to connect internal developer platforms, ticketing systems, and AI services for end-to-end automation.
• Observability for Integrated Workflows: Add logging, metrics, and tracing for agent and pipeline steps so teams can troubleshoot failures across multiple tools and understand end-to-end execution.

Skills Required:

• Devops Engineering *Integration with Quality and Security *Leverage AI to build Software
• C# or Python- Nice to have

Education and Certifications:

• 4 Year / Bachelor’s Degree required.

Work location: Bengaluru