Senior Software Engineer - USA

Cogniify•Mountain View, CA

112d•$113,000 - $151,000•Remote

About The Position

As a Senior Software Engineer, you will contribute to the design, development, and delivery of scalable software solutions by collaborating with cross-functional teams. This role involves writing clean, efficient code, driving full lifecycle development, and integrating advanced technologies including AI and machine learning components. You will provide technical guidance, participate in solution design, and ensure quality through testing and monitoring. The position requires strong problem-solving skills, adaptability to evolving technologies, and effective communication with stakeholders to meet business objectives and support continuous improvement initiatives.

Requirements

Proficiency in software development using languages such as JavaScript, TypeScript, Python, Java, Rust, Dart, Go, Kotlin, or C++.
6+ years of experience with full software development lifecycle including embedded software development, continuous integration, automated testing, and deployment.
Strong understanding of software architecture, platform design, and cloud engineering principles.
Ability to translate business requirements into scalable, secure, and maintainable technical solutions.
Familiarity with Agile methodologies and version control systems.
Demonstrated skills in collaboration, technical leadership, and effective communication with cross-functional teams.
Experience designing and operating distributed systems, microservices, and cloud-native applications at scale.
Deep knowledge of at least one cloud platform (AWS, Azure, or GCP) including compute, storage, networking, and managed AI/ML services.
Experience with container orchestration (Kubernetes, ECS), service mesh, and infrastructure-as-code (Terraform, Pulumi).
Proven ability to mentor engineers, lead design reviews, and influence technical direction.
Strong understanding of security engineering practices, performance optimization, and observability.

Nice To Haves

Experience building applications that integrate LLM APIs, RAG pipelines, or agentic AI components.
Familiarity with MCP (Model Context Protocol) or tool-layer integrations for AI-driven systems.
Experience with real-time systems, streaming architectures (Kafka, Flink, Kinesis), and event sourcing patterns.
Knowledge of WebAssembly (WASM), edge computing, or progressive web application (PWA) patterns.
Experience with database scaling strategies including sharding, replication, and multi-region deployments.
Contributions to open-source projects or technical community leadership.
Familiarity with AI governance, responsible AI practices, and data privacy regulations (GDPR, CCPA, SOC2).

Responsibilities

Develop, implement, and maintain software components, APIs, and user interfaces with clean, efficient, and reliable code.
Collaborate with cross-functional teams to design scalable, secure, and maintainable solutions aligned with business requirements.
Participate in project discovery and translate technical requirements into detailed designs and functional logic.
Drive full software development lifecycle activities including continuous integration, automated testing, deployment, and monitoring.
Integrate AI/ML components and leverage advanced tools to enhance development efficiency and innovation.
Provide technical guidance to small engineering teams and support knowledge sharing.
Monitor application performance and ensure adherence to project timelines and quality standards.
Lead architectural design discussions and drive decisions on technology selection, system decomposition, and integration patterns.
Design and implement event-driven, microservices, and serverless architectures for high-availability systems.
Champion engineering best practices including code reviews, testing strategies, CI/CD optimization, and technical debt management.
Evaluate and adopt emerging technologies, frameworks, and AI-powered tools to improve team productivity and solution quality.
Collaborate with product and business stakeholders to align technical solutions with strategic objectives.