Cogniify is a company focused on delivering high-quality software solutions through collaborative engineering efforts. As a Mid-Level Software Engineer, you will independently design, develop, and ...
Cogniify
2 jobs near Columbus, OH
Cogniify is a company focused on delivering high-quality software solutions through collaborative engineering efforts. As a Mid-Level Software Engineer, you will independently design, develop, and ...
Cogniify is seeking a driven Mid Cybersecurity Analyst to join their Cybersecurity Delivery team. The role involves protecting the organization's digital assets by monitoring, detecting ...
Cogniify is seeking a driven Mid Cybersecurity Analyst to join their Cybersecurity Delivery team. The role involves protecting the organization's digital assets by monitoring, detecting ...
Full-time
Re-posted 11 days ago
Job description
Job Summary:
Cogniify is a company focused on delivering high-quality software solutions through collaborative engineering efforts. As a Mid-Level Software Engineer, you will independently design, develop, and deliver software features and services, actively integrating AI/ML components into applications and driving improvements in code quality and deployment practices.
Responsibilities:
• Develop, implement, and maintain software components, APIs, microservices, 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, functional logic, and implementation plans.
• Drive full software development lifecycle activities including continuous integration, automated testing, deployment, and monitoring.
• Integrate AI/ML components such as recommendation engines, NLP services, computer vision modules, or LLM-powered features into applications.
• Leverage AI-augmented development tools and practices to enhance productivity, code quality, and testing coverage.
• Build and consume RESTful and GraphQL APIs, event-driven architectures, and message queues (Kafka, RabbitMQ, SQS).
• Implement infrastructure-as-code practices using Terraform, Pulumi, or CloudFormation for cloud deployments.
• Monitor application performance, troubleshoot production issues, and ensure adherence to SLAs and quality standards.
• Mentor junior engineers and contribute to technical documentation and knowledge-sharing initiatives.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 3–6 years of professional experience in software development with production delivery.
• Proficiency in multiple programming languages such as JavaScript/TypeScript, Python, Java, Go, Rust, Kotlin, Dart, or C++.
• Strong experience with modern frameworks and platforms such as React, Next.js, Node.js, Spring Boot, FastAPI, Django, or Flutter.
• Experience with full software development lifecycle including continuous integration, automated testing, and deployment pipelines.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native design patterns.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Strong understanding of software architecture, design patterns, and clean code principles.
• Familiarity with Agile methodologies and version control workflows (Git, GitHub/GitLab).
• Demonstrated skills in collaboration, problem-solving, and effective communication with cross-functional teams.
Preferred:
• Experience integrating AI/ML models or LLM APIs (OpenAI, Anthropic, Azure OpenAI) into production applications.
• Familiarity with event-driven architectures, streaming platforms (Kafka, Flink), and message queues.
• Experience with observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.
• Knowledge of database technologies including PostgreSQL, MongoDB, Redis, DynamoDB, or Elasticsearch.
• Experience with GraphQL, gRPC, or WebSocket-based communication patterns.
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi) and GitOps practices.
• Understanding of security best practices including OAuth 2.0, JWT, RBAC, and secure coding standards.
Company:
Cogniify helps enterprises move from AI pilots to industrialized impact. Founded in 2024, the company is headquartered in San Jose, California, US, , with a team of 11-50 employees. The company is currently Early Stage.
Cogniify is a company focused on delivering high-quality software solutions through collaborative engineering efforts. As a Mid-Level Software Engineer, you will independently design, develop, and deliver software features and services, actively integrating AI/ML components into applications and driving improvements in code quality and deployment practices.
Responsibilities:
• Develop, implement, and maintain software components, APIs, microservices, 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, functional logic, and implementation plans.
• Drive full software development lifecycle activities including continuous integration, automated testing, deployment, and monitoring.
• Integrate AI/ML components such as recommendation engines, NLP services, computer vision modules, or LLM-powered features into applications.
• Leverage AI-augmented development tools and practices to enhance productivity, code quality, and testing coverage.
• Build and consume RESTful and GraphQL APIs, event-driven architectures, and message queues (Kafka, RabbitMQ, SQS).
• Implement infrastructure-as-code practices using Terraform, Pulumi, or CloudFormation for cloud deployments.
• Monitor application performance, troubleshoot production issues, and ensure adherence to SLAs and quality standards.
• Mentor junior engineers and contribute to technical documentation and knowledge-sharing initiatives.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 3–6 years of professional experience in software development with production delivery.
• Proficiency in multiple programming languages such as JavaScript/TypeScript, Python, Java, Go, Rust, Kotlin, Dart, or C++.
• Strong experience with modern frameworks and platforms such as React, Next.js, Node.js, Spring Boot, FastAPI, Django, or Flutter.
• Experience with full software development lifecycle including continuous integration, automated testing, and deployment pipelines.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native design patterns.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Strong understanding of software architecture, design patterns, and clean code principles.
• Familiarity with Agile methodologies and version control workflows (Git, GitHub/GitLab).
• Demonstrated skills in collaboration, problem-solving, and effective communication with cross-functional teams.
Preferred:
• Experience integrating AI/ML models or LLM APIs (OpenAI, Anthropic, Azure OpenAI) into production applications.
• Familiarity with event-driven architectures, streaming platforms (Kafka, Flink), and message queues.
• Experience with observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.
• Knowledge of database technologies including PostgreSQL, MongoDB, Redis, DynamoDB, or Elasticsearch.
• Experience with GraphQL, gRPC, or WebSocket-based communication patterns.
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi) and GitOps practices.
• Understanding of security best practices including OAuth 2.0, JWT, RBAC, and secure coding standards.
Company:
Cogniify helps enterprises move from AI pilots to industrialized impact. Founded in 2024, the company is headquartered in San Jose, California, US, , with a team of 11-50 employees. The company is currently Early Stage.