Avenue Code

www.avenuecode.com

4 Jobs

777 Employees

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: 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.

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

Company Name: Avenue Code
Job Title: Senior SRE
Job Description: **Job title**: Senior Site Reliability Engineer (SRE) **Role Summary**: Drive the design, construction, and operation of a cloud platform that powers engineering teams. Lead reliability, performance, and security initiatives for production‑critical systems, ensuring robust, scalable, and cost‑effective operations across AWS, Kubernetes, and supporting services. **Expectations**: - Proven experience managing high‑availability, production‑critical environments. - Deep expertise with AWS Cloud and cloud‑native architecture. - Extensive experience with Kubernetes (EKS, GKE) at scale. - Strong background in Terraform‑based IaC, CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins, etc.). - Solid understanding of network, web, and security protocols (HTTP, REST, TLS, DNS). **Key Responsibilities**: - Automate infrastructure provisioning and deployments with Terraform, integrating best‑practice CI/CD pipelines. - Define and monitor SLIs/SLOs, manage error budgets, and create dashboards/alerts for proactive system health. - Enforce least‑privilege IAM policies, automate vulnerability scans, and maintain audit logs for compliance. - Instrument services with metrics, logs, tracing; build alerts, custom metrics, and dashboards for rapid troubleshooting. - Own on‑call rotation, lead incident response, conduct post‑mortems, and drive continuous improvement. - Implement cost‑optimization tactics: tagging, right‑sizing, and data‑driven spend control. - Author runbooks, standards, and best‑practice guides; mentor dev teams on DevOps, reliability, and security patterns. **Required Skills**: - AWS Cloud (EC2, VPC, RDS, ElastiCache, etc.) - Kubernetes (EKS, GKE) and container orchestration at scale - Terraform (plus Terragrunt knowledge a plus) - Git workflows, branching strategies, CI/CD integration - Database management (Redis, PostgreSQL) - Monitoring/observability tools (Prometheus, Grafana, Loki, Jaeger, etc.) - Networking: VPC, VPN, Load Balancers, Cloud networking components - Programming/scripting: Python, Golang, Shell; Helm templating; Node.js a plus - Security fundamentals for cloud infrastructure, least‑privilege IAM, audit logging **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Engineering, or equivalent (or equivalent professional experience). - Relevant AWS certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer) are preferred.

Mountain view, United states

Hybrid

Senior

17-02-2026

Company Name: Avenue Code
Job Title: Master Data Specialist
Job Description: Job Title: Master Data Specialist Role Summary: Responsible for the creation, maintenance, and deployment of global master data within pharmaceutical quality systems (e.g., LIMS, Veeva QMS, Veeva Quality Docs, Cornerstone). Ensures data integrity, consistency, and regulatory compliance across global and local teams, supporting Quality Operations and GxP analytics. Expectations: - Deliver accurate master data that meets global standards and regulatory requirements. - Collaborate with business stakeholders and product owners to align data updates with project timelines and the Right‑to‑Operate framework. - Proactively identify and implement process improvements to enhance data quality and system efficiency. - Manage deviations, change requests, and documentation updates within controlled environments. Key Responsibilities: 1. Maintain and validate master data for quality‑focused platforms (LIMS, Veeva QMS, Veeva Quality Docs, Cornerstone, QC lab equipment). 2. Ensure alignment of master data with global standards, regulatory mandates (GMP, FDA), and internal processes. 3. Act as liaison between global and local teams to harmonize master data procedures and support seamless handovers. 4. Manage master data during system upgrades, replacements, or decommissioning, applying change‑management protocols. 5. Evaluate system usage and training materials, refining them to match intended data use. 6. Support the end‑to‑end master‑data process across the software development lifecycle (SDLC). 7. Identify optimization opportunities and implement enhancements to improve data integrity organization‑wide. 8. Initiate, manage, and close deviations or change requests; update related documentation. 9. Ensure compliance with information‑security standards and data protection regulations. 10. Escalate issues to business or IT, documenting status and resolution steps. Required Skills: - Strong written and verbal communication, capable of conveying technical findings to non‑technical audiences. - Excellent collaboration across multidisciplinary teams. - Proficiency in master data management, data governance, and quality‑system tools (LIMS, Veeva, Cornerstone). - Understanding of validated/controlled environment practices and GxP regulatory requirements. - Change‑management and problem‑solving abilities. - Knowledge of information‑security protocols (ISO 27001, similar). - Continuous‑learning mindset and adaptability in dynamic environments. Required Education & Certifications: - Bachelor’s or Master’s degree in Life Sciences, Computer Science, or a related field. - 2‑4 years of experience managing technology platforms in the pharmaceutical or healthcare industry. - Demonstrated experience in validated or controlled environments; familiarity with GMP, FDA, and other quality‑system regulations.