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Level Software Engineer Jobs in Fremont, CA (NOW HIRING)

LHi Group Ltd

Senior Software Engineer

San Francisco, CA · On-site

$240K - $270K/yr

Staff-level software engineering experience (or operating at Staff level) Strong Python and/or Rust programming skills Recent startup experience (Seed-Series D preferred) Experience owning systems ...

Lawrence Harvey

Senior Software Engineer

San Francisco, CA · On-site

$240K - $270K/yr

... level software engineering experience (or operating at Staff level) • Strong Python and/or Rust programming skills • Recent startup experience (Seed-Series D preferred) • Experience owning ...

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All JobsLevel Software Engineer JobsLevel Software Engineer Jobs in Fremont, CA

Level Software Engineer information

See Fremont, CA salary details

$69.5K

$161.5K

$225K

How much do level software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for level software engineer in Fremont, CA is $161,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $189,400.00 per year, depending on experience, location, and employer.

What cities near Fremont, CA are hiring for Level Software Engineer jobs?

Cities near Fremont, CA with the most Level Software Engineer job openings:

Level Software Engineer jobs near you
Infographic showing various Level Software Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $161,489 per year, or $77.6 per hour.

Mid-Level Software Engineer - USA

Cogniify

Mountain View, CA • On-site

Full-time

Re-posted 28 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 provides enterprise AI consulting, data engineering, and production system implementation services. Founded in 2024, the company is headquartered in San Jose, USA, with a team of 11-50 employees. The company is currently Early Stage.

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