Senior Software Engineer

Job Summary
We are looking for a Senior Software Engineer to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery and technical direction while driving AI-first engineering practices using automation and intelligent tooling to improve how we design, build, ship, and operate software. You will balance hands-on technical leadership with operational excellence, and a strong focus on quality and reliability.
Job Requirements
Extensive experience designing, developing, and operating scalable applications using Go and Python, including REST and/or GraphQL APIs.
Strong expertise in distributed systems, microservices, system design, scalability, reliability, and performance optimization.
Deep knowledge of PostgreSQL, Redis, ClickHouse, or equivalent OLTP, caching, and analytics technologies.
Experience with data modeling, query optimization, indexing, caching strategies, and analytics architectures.
Hands-on experience with Data Lakehouse platforms, including ingestion, transformation, orchestration, governance, warehousing, and analytics.
Strong background in data engineering and large-scale data processing systems.
Experience with observability and monitoring tools such as ELK Stack and Grafana, including logging, metrics, tracing, dashboards, and alerting.
Proven ability to build highly observable systems and perform root-cause analysis.
Experience implementing CI/CD pipelines, automated testing, release automation, and deployment best practices.
Strong understanding of software quality practices, including unit testing, integration testing, code reviews, static analysis, and technical debt management.
Experience integrating security throughout the SDLC and driving secure development practices.
Strong operational excellence mindset with production support, incident management, reliability engineering, capacity planning, and service health monitoring.
Experience defining and managing SLOs, SLAs, operational runbooks, troubleshooting guides, and disaster recovery processes.
Proven ability to lead architecture reviews, technical decision-making, and engineering best practices across platforms and services.
Strong understanding of cloud-native development, containerization, orchestration, infrastructure automation, and Infrastructure as Code (IaC).
Experience designing highly available, fault-tolerant, and cost-efficient systems.Strong collaboration skills, partnering with Product, Design, Program Management, and cross-functional teams to deliver business solutions.
Demonstrated engineering leadership through mentoring, hiring, coaching, and fostering technical excellence.
Experience adopting AI-first engineering practices to improve development, testing, code reviews, documentation, productivity, and operational efficiency.
Knowledge of responsible AI adoption, governance, security, compliance, and quality controls.
Experience leveraging AI for observability, incident triage, automation, root-cause analysis, and developer productivity.
Exposure to Agentic AI, LLM orchestration, prompt engineering, tool-calling workflows, and AI-assisted automation preferred.
Experience with RAG architectures, vector search, knowledge retrieval, and AI-powered applications is desirable.
Background in streaming platforms, event-driven architectures, and large-scale analytics systems is a plus.
Familiarity with enterprise security, compliance, auditability, and data governance in regulated environments.
Education
IC - Typically requires a minimum of 8 years of related experience
Bachelor’s degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline.