Avenue Code

About the Company

What happens when you put together a group of talented engineers, decades of combined experience working in digital transformation, and the determination to deliver an extraordinary experience for clients, partners, and employees? You create the leading software consultancy focused on delivering end-to-end digital transformation solutions for enterprise organizations of all kinds.

Avenue Code is more than just a software development company. When it comes to our practice areas, we are experts in web solutions, infrastructure automation, mobile development, DevOps, backend systems, and enterprise integration. Beyond that, our commitment to complete transformation for our clients has led us to become adept at project management and Agile coaching. But what makes us different is our people.

As we've grown, we've developed a best-in-class talent acquisition model to attract the best and brightest. Our employees are proud to work here, according to the Great Place to Work Institute and Glassdoor -- and we're even prouder that they choose to call Avenue Code home. Avenue Coders, as we call ourselves, are trained consultants who assist our clients with more than just development on a given project. Searching for new solutions, staying up to date on state of the art technologies, and improving the overall delivery process for clients are all part of the daily life of an Avenue Coder.

We're proud of what we've achieved together, and even more excited for what's ahead!

Listed Jobs

Company Name

Avenue Code

Job Title

Full-Stack Engineer (Java + Node.js)

Job Description

Job Title: Full-Stack Engineer (Java + Node.js) Role Summary: Design, develop, test, and maintain scalable RESTful backend services and web interfaces using Java/Spring and Node.JS, leading features from concept through production. Expactations: - Deliver high‑quality, secure code on schedule. - Self‑start and learn new technologies rapidly. - Communicate effectively with cross‑functional, geographically distributed teams. Key Responsibilities: - Design and implement public APIs and backend services following best practices. - Own feature development end‑to‑end: design, coding, testing, deployment, support. - Build internal platforms to improve developer efficiency and monitor system health proactively. - Estimate effort, plan releases, and execute system changes. - Identify technical risks, recommend mitigations, and document solutions. - Participate in architecture discussions, design and code reviews. - Provide data‑driven input to product and engineering leadership. Required Skills: - Strong foundation in data structures, algorithms, multithreading, concurrency. - Java/J2EE, Spring, Spring Boot, REST, JSON, XML, and related ecosystem. - Node.js, HTML5, CSS, and web UI fundamentals. - Experience designing distributed systems and large‑scale data pipelines. - Proficiency with relational and NoSQL databases, ElasticSearch, and related tooling. - Automation for testing, code quality, and continuous delivery. - Excellent communication, collaboration, and time‑management abilities. Required Education & Certifications: - B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent professional experience.

United states

Remote

03-12-2025

Company Name

Avenue Code

Job Title

Sr. Site Reliability Engineer (SRE)

Job Description

Job Title: Sr. Site Reliability Engineer (SRE) Role Summary: Design, build, and operate a cloud platform, ensuring reliability, performance, security, and cost efficiency for production systems. Expactations: Collaborate across product and engineering teams, own incident response, mentor developers in DevOps practices, and continuously improve service health and cloud spend. Key Responsibilities: - Automate provisioning and CI/CD with Terraform, GitHub Actions, ArgoCD, and other pipelines. - Define SLIs/SLOs, manage error budgets, and create dashboards and alerts for proactive monitoring. - Enforce least‑privilege IAM, automate vulnerability scanning, and maintain audit logs for compliance. - Instrument services with metrics, logs, and distributed tracing; support custom metrics and dashboards. - Lead on‑call rotations, conduct incident investigations, post‑mortems, and implement improvements. - Optimize cloud costs through tagging, right‑sizing, and data‑driven decisions. - Produce runbooks, standards, and best‑practice guides; coach teams on DevOps, reliability, and security patterns. Required Skills: - 5+ years of production-critical system operation. - Deep expertise in AWS cloud and cloud‑native best practices. - Experience managing Kubernetes (EKS, GKE) at scale and container orchestration. - Proficiency with Terraform for declarative infrastructure. - Knowledge of Redis, PostgreSQL, VPC, VPN, load balancing, and cloud networking. - Strong Git workflow, CI/CD integration, and understanding of web/network protocols (HTTP, REST, TLS, DNS). - Fluent English (written & spoken). Required Education & Certifications: - Bachelor’s degree or equivalent in Computer Science, Engineering, or related field.

Mountain view, United states

Hybrid

Mid level

04-12-2025

Company Name

Avenue Code

Job Title

AI/ML Infrastructure Engineer

Job Description

**Job Title** AI/ML Infrastructure Engineer **Role Summary** Design, build, and maintain a scalable production platform for training and serving machine learning models. Work collaboratively with ML engineers, researchers, and product teams to deliver robust tooling and infrastructure that supports efficient model deployment and inference at scale. **Expectations** - Deliver high‑quality, production‑ready ML infrastructure components within specified timelines. - Continuously learn and apply emerging technologies to enhance platform capabilities. - Operate independently while coordinating effectively in a cross‑functional squad. **Key Responsibilities** - Develop and contribute to the ML Platform SDK and related build tools for ML operations. - Collaborate with ML engineers, researchers, and product teams to define and implement scalable platform solutions. - Manage and maintain large‑scale Kubernetes clusters for ML workloads, including dev‑ops and infrastructure needs. - Design, document, and implement reliable, testable, and maintainable infrastructure solutions for ML platform capabilities. **Required Skills** - 6+ years of experience building production‑scale ML infrastructure. - Proficiency in Python, Go, or equivalent languages. - Deep‑learning fundamentals and familiarity with tools such as Huggingface, Ray, PyTorch, or TensorFlow. - Experience in distributed GPU training and Kubernetes orchestration. - Understanding of data processing pipelines for ML workloads. - Agile software development practices and modular code design following industry standards. **Required Education & Certifications** - Bachelor’s or higher degree in Computer Science, Engineering, or related field (preferred). - No mandatory certifications, but relevant experience with Kubernetes, deep‑learning frameworks, and scalable dev‑ops is essential.

Toronto, Canada

Hybrid

Mid level

18-12-2025

Company Name

Avenue Code

Job Title

Business Operations Analyst

Job Description

Job Title: Business Operations Analyst Role Summary: Function as the principal operational and strategic liaison for the executive team, overseeing daily office functions, resource allocation, budget monitoring, project execution, and cultural initiatives to maximize efficiency and team engagement. Expactations: Deliver timely, data‑driven support for strategic planning, manage a dynamic schedule and resource calendar, coordinate cross‑functional communication, lead high‑impact projects, and cultivate a collaborative workplace through event planning and morale programs. Key Responsibilities: - Support strategic planning; identify roadblocks, track progress, and report results to leadership. - Manage executive calendars, schedule meetings, and ensure seamless workflow in the office. - Serve as primary contact for internal and external stakeholders, facilitating effective communication. - Lead and contribute to special projects, maintaining timelines and ensuring completion of action items. - Oversee budgeting and resource allocation; identify gaps and opportunities for operational improvement. - Plan and execute team events, milestone celebrations, swag distribution, and remote‑in‑office engagement activities. - Prepare agendas, briefing materials, and follow‑up documentation for leadership meetings. - Maintain strong relationships with executive staff and external partners. Required Skills: - Proven experience as a Chief of Staff in a startup or an Executive Assistant focused on business operations and budget management. - Proficiency with Airtable for resource management and tracking. - Strong analytical mindset to assess budgets/resources and recommend efficiencies. - Excellent written and verbal communication; ability to interact with senior executives and external partners. - Versatile, detail‑oriented, able to handle tasks ranging from strategic oversight to event coordination. - Adaptable, a “no task too small” attitude, and comfortable working in a fast‑paced environment. Required Education & Certifications: - Bachelor’s degree in Business Administration, Management, Operations, or a related field. - No mandatory certifications specified; relevant certifications in project management, operations, or related areas are an advantage.

San jose, United states

Hybrid

03-02-2026