Role Description We’re hiring a Senior PHP & Symfony Software Engineer to work on mission-critical backend systems where code quality, reliability, and accountability are non-negotiable. This role goes far beyond feature delivery — it’s about engineering craftsmanship, technical ownership, and building systems you can truly stand behind. You’ll be part of a highly collaborative Agile team, working closely with product, QA, and other engineers across the full lifecycle — from ticket definition and design through testing, review, and production deployment. This role is ideal for someone who values clean architecture, Test-Driven Development, thoughtful technical decisions, and mentoring others while building robust, scalable solutions. Responsibilities - Design, develop, and maintain high-quality backend systems using PHP and Symfony - Own features end-to-end, from ticket creation and technical design to production release - Write clean, strongly-typed, maintainable, and testable code that meets strict quality standards - Apply design patterns thoughtfully and consistently - Build and maintain comprehensive automated test coverage using PHPUnit and similar tools - Follow and promote Test-Driven Development (TDD) practices - Use static analysis, linters, and code quality tools to ensure reliability and consistency - Participate actively in code reviews, providing and receiving constructive feedback - Collaborate closely with product, design, and QA teams to deliver robust solutions - Break down complex initiatives into well-defined, actionable tasks and guide implementation - Monitor systems and participate in a rotating on-call schedule when required - Promote secure coding practices and ensure code is free from known vulnerabilities - Document architecture, decisions, and processes to support team-wide knowledge sharing - Mentor junior and mid-level engineers and contribute to a strong engineering culture Qualifications - 5+ years of professional experience with PHP (7.4 / 8+) - 3+ years of hands-on experience with the Symfony framework - Strong understanding and practical use of design patterns - Solid experience with unit and integration testing (PHPUnit, Behat, or similar) - Hands-on experience with Test-Driven Development (TDD) - Familiarity with static analysis tools (PHPStan, Psalm, or similar) - Strong understanding of CI/CD pipelines, code coverage, and deployment workflows - Excellent technical communication skills and ability to explain and defend technical decisions - High ownership mindset and strong sense of accountability Nice-to-Have - Experience working with MongoDB - Familiarity with JavaScript, React, Node.js, and/or TypeScript - Experience with Docker and/or Kubernetes - Experience working on high-availability or mission-critical systems Benefits - Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) - No Weekend Work: Real work-life balance, not just words - Day 1 Benefits: Laptop and full medical insurance provided - Support That Matters: Mentorship, community, and forums where ideas are shared - True Belonging: A long-term career where your contributions are valued

Role Description We are seeking an experienced Financial Software Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. - Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python. - Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations. - Build robust market data ingestion and normalization pipelines for high-volume tick data. - Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks. - Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants to make informed decisions under uncertain market conditions. - Profile and optimize critical-path code for latency and throughput, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Build comprehensive backtesting and simulation infrastructure that lets researchers evaluate strategies against historical data and synthetic scenarios with reproducible, audit-friendly results. - Collaborate closely with quants, traders, and risk officers to refine models and tooling. - Implement regulatory and compliance reporting workflows where applicable, ensuring outputs meet jurisdictional requirements, are auditable end-to-end, and can be reproduced reliably for retrospective analysis. - Ensure full observability of trading systems with appropriate logging, metrics, and audit trails. - Lead incident response for trading-critical issues with calm and rigor. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. - Mentor junior engineers and contribute to engineering culture in the team. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline. - Six or more years of software engineering experience, with significant time in fintech. - Strong programming skills in C++, Java, or Python (preferably more than one). - Solid grounding in financial markets, instruments, and basic quantitative methods. - Hands-on experience building low-latency, high-throughput systems. - Experience with market data systems and FIX protocol implementations. - Strong understanding of risk and P&L attribution. - Experience with high-performance computing patterns and concurrency. - Excellent debugging, profiling, and performance-tuning skills. - Strong communication and documentation skills. Preferred Qualifications - Experience with derivatives pricing libraries (QuantLib). - Familiarity with kdb+/q or similar columnar tick databases. - Exposure to GPU-accelerated pricing or risk computation. - Experience with cloud-native fintech architectures. - Advanced degree in a quantitative discipline. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

• Design, develop, and maintain RESTful APIs and microservices using Python. • Integrate and support Pindrop solutions including authentication, fraud detection workflows, and SDK/API usage. • Architect secure, scalable, and high-performance backend applications. • Integrate backend services with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and DynamoDB. • Write clean, efficient, testable code following best practices for performance, maintainability, and security. • Design and deploy cloud-native applications using AWS services including EC2, Lambda, S3, RDS, DynamoDB, API Gateway, and IAM. • Implement and maintain CI/CD pipelines using GitHub Actions or GitLab CI. • Set up monitoring, logging, and observability using CloudWatch, CloudTrail, and Splunk logging. • Collaborate on infrastructure automation using CloudFormation and Terraform. • Integrate solutions with AWS services like Lambda. • Use of AI-assisted coding in development workflows. • Assist in migration projects from legacy contact center platforms to Amazon Connect. • Contribute to frontend work (React/Angular/Vue) when needed and ensure smooth integration with backend APIs.

• Design and implement a scalable event-driven communications platform • Build highly reliable and fault-tolerant message delivery systems • Manage large-scale real-time event processing pipelines • Design and implement multi-channel delivery pipelines across email, SMS, voice, and push channels • Handle compliance requirements, consent management, and communication policies • Support emergency and high-priority notification workflows • Implement provider failover and resiliency strategies to ensure delivery continuity • Build tracking systems for delivery status, retries, and engagement events • Design and implement observability, reporting, and analytics infrastructure • Develop event processing and message orchestration workflows • Implement provider integrations and external messaging service adapters • Ensure system scalability, throughput, and performance under high load • Collaborate with product and engineering teams on communication flows and requirements • Contribute to architectural decisions and long-term platform evolution • Ensure operational stability, reliability, and maintainability of the system