Full Stack Engineer - USA

Cogniify, Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

Unlimited PTO

Generous parental leave

Employee stock purchase program

Medical, Dental and Vision coverage

Mental health and wellbeing support

Team building experiences

Mentorship and sponsorship

Job summary

Cogniify, Inc. is seeking a Senior Software Engineer to design, develop, and deliver scalable software solutions. You will collaborate with cross-functional teams, drive full lifecycle development, and integrate AI/ML components to enhance product capabilities.

You will guide architecture decisions, mentor engineers, and ensure quality through testing, monitoring, and CI/CD practices in a fast-paced, learning-focused environment.

Qualifications

• 6+ years of experience with full software development lifecycle, including design, implementation, testing and deployment.
• Experience designing and operating distributed systems and microservices at scale.
• Deep knowledge of at least one cloud platform (AWS, Azure or GCP) with AI/ML service experience.
• Strong leadership, collaboration skills, and ability to guide small engineering teams.

Responsibilities

• Develop, implement, and maintain software components, APIs, and UIs with clean, efficient code.
• Collaborate with cross-functional teams to design scalable, secure, and maintainable solutions.
• Translate requirements into designs and functional logic during project discovery.
• Drive CI/CD, automated testing, deployment, and monitoring throughout the lifecycle.
• Integrate AI/ML components and leverage tools to boost productivity.
• Mentor engineers, lead design reviews, and influence technical direction.
• Monitor performance and ensure timely delivery with quality standards.
• Lead architectural design discussions and technology selection decisions.
• Design event-driven, microservices, and serverless architectures for high availability.
• Advocate for best practices in code reviews, testing, and observability.
• Explore emerging technologies and AI tools to improve solutions.
• Align technical solutions with business goals through collaboration with stakeholders.

Skills

Full lifecycle development

Cloud engineering

Distributed systems

Mentorship & leadership

Agile methodologies

Cross-functional collaboration

Tools

AWS

Kubernetes

Terraform

Pulumi

Docker

GCP

Azure

Job description

work Full-time distance On-site location_on Mountain View

Role Summary

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.

About the Team

The team focuses on delivering high-quality software solutions through collaborative engineering efforts. Members engage in full lifecycle development, including design, implementation, testing, and continuous improvement of services and APIs. Emphasizing software quality testing and enhancement, the team integrates modern practices such as continuous integration and automated testing. They work closely with product and business partners to translate requirements into scalable, maintainable solutions. The group values technical excellence, innovation, and effective communication to meet business objectives while supporting ongoing learning and process improvements in a dynamic environment.

What You’ll Do

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.

What You’ll Bring

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.

Preferred Qualifications

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).

Perks And Benefits Of Working With Us

Unlimited PTO.

Please ask us about our very generous parental leave, much above industry standards!.

Entrepreneurial culture where pushing limits and taking risks is everyday business.

Open communication with management and company leadership.

Small, dynamic teams = massive impact.

Medical, Dental and Vision coverage for employees.

Access to Disability & Life insurance.

Mental health and wellbeing support

Employer Stock Purchase Program (ESPP)

Yearly Team building experiences

Mentorship and sponsorship opportunities

Manager resources and support

Salary Range

US East/West Coast: $125,000 - $140,000 Disclaimer: Listed salary ranges are estimates and may vary based on factors including experience, skills, and specific location. Final compensation is subject to change.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.