Slalom

About the Company

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. We team with leaders who expect more. So we bring more.

From strategy through delivery, our agile teams across 52 offices in 10 countries collaborate with you to bring powerful customer experiences, innovative ways of working, and new products, services, and businesses to life. Every day, we work at the forefront of industry, combining our deep roots in technology and data, to help you tackle challenges, improve operations, and drive sustainable growth. We work to discover your singular “why,” understand your customers — and your customer’s customers — to chart a course for action that is true to who you are. Your ambitions become our North Star.

The company was founded in 2001 with the goal of disrupting the consulting industry. Our rapid, organic growth in the 25 years since, with no acquisition or external investment, is a testament to how we work and why we believe we can become the world’s most customer-obsessed and employee-empowered services company. It’s also why we are trusted by individuals and leadership teams inside the majority of the Global 1000, many of the world’s most successful enterprise, mid-market, and emerging companies, and more than 500 high-impact public sector agencies, foundations, and universities.

Humanity is at the center of our work, so working with us feels different. We put people first at every turn, showing up authentically and leading with empathy. And we bring a balance of heart and practicality, curiosity and agility, and local soul and global expertise. That means understanding your culture, goals, organization, and customers. That means being tireless problem solvers who meet you where you are and help you see around corners. And that means always standing by you as your trusted advisor, respectful challenger, and unwavering champion.

Listed Jobs

Company Name

Slalom

Job Title

AI/ML Engineer

Job Description

**Job title** AI/ML Engineer **Role Summary** Deploy and maintain advanced machine learning models in production, iteratively improve accuracy and efficiency through fine‑tuning and architecture updates, and collaborate with research and product teams to prototype new ML capabilities. Build and sustain scalable ML infrastructure, automate model lifecycle, and champion best practices across engineering and product functions. **Expectations** * Hold an active security clearance (Top Secret, Secret, etc.). * Demonstrate rapid learning and prioritize tasks in a fast‑paced environment. * Manage large, diverse datasets and deliver production‑ready solutions. **Key Responsibilities** 1. Deploy proprietary and open‑source models to production, ensuring reliability and scalability. 2. Conduct hyper‑parameter tuning, model retraining, and architectural refinements for continuous performance gains. 3. Prototype and deliver enhancements with research and product teams, focusing on agent frameworks, retrieval pipelines, and production APIs. 4. Build and maintain scalable ML infrastructure for automated training, deployment, and monitoring. 5. Serve as a technical advocate for ML techniques, raising quality and innovation standards across teams. **Required Skills** * Proficiency in computer vision, deep learning, reinforcement learning, or natural language processing in production settings. * Strong foundation in algorithms, data structures, and object‑oriented programming. * Expertise in Python with deep experience in TensorFlow or PyTorch. * Experience with cloud platforms (AWS, GCP, etc.), model deployment, evaluation frameworks, and agentic system design. * Ability to work with large, heterogeneous datasets and build task‑specific models. **Required Education & Certifications** * Bachelor’s degree in Computer Science, Electrical Engineering, or related field. * Graduate‑level work or specialization in ML/AI (preferred). * Valid active security clearance (Top Secret, Secret, etc.).

Silicon valley, United states

On site

04-10-2025

Company Name

Slalom

Job Title

Backend Software Engineer

Job Description

**Job Title:** Backend Software Engineer **Role Summary:** Design, develop, and maintain scalable, cloud‑native backend systems and data/ML infrastructure. Work with cross‑functional teams to translate requirements into high‑quality solutions, influencing product roadmaps and supporting customers’ AI initiatives. **Expectations:** - Hold an active Top Secret or Secret security clearance. - Deliver robust, reliable backend services that can operate as standalone products. - Collaborate effectively with stakeholders, engineers, and product owners. - Stay current with emerging technologies and adapt to evolving project needs. **Key Responsibilities:** - Architect and implement backend services using modern languages, frameworks, and APIs. - Deploy and manage applications in containerized (Kubernetes) environments on AWS, Azure, or GCP. - Build and optimize ETL pipelines, data models, and data‑warehousing solutions. - Develop and support machine‑learning infrastructure (e.g., TensorFlow, PyTorch) for model deployment and monitoring. - Contribute to product roadmap discussions and technical strategy. - Write clean, testable code and maintain comprehensive documentation. - Participate in code reviews, troubleshooting, and performance tuning. **Required Skills:** - Strong full‑stack development experience (frontend + backend) with modern frameworks and languages. - Proven expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes). - Data engineering background: ETL, pipelines, modeling, warehousing. - Familiarity with ML frameworks (TensorFlow, PyTorch) and deployment pipelines. - Excellent problem‑solving, analytical, and debugging abilities. - Effective communication and teamwork skills across technical and non‑technical audiences. - Ability to quickly learn new technologies and adapt to changing requirements. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - Active Top Secret or Secret security clearance. - Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect) are preferred but not mandatory.

Silicon valley, United states

On site

07-10-2025

Company Name

Slalom

Job Title

Senior AWS Cloud Engineer (Cloud/DevOps)

Job Description

**Job Title:** Senior AWS Cloud Engineer (Cloud/DevOps) **Role Summary:** Design, implement, and maintain scalable, secure, and resilient AWS cloud environments. Drive automation and DevOps practices using IaC, CI/CD pipelines, and container platforms to enable rapid product delivery while ensuring cost‑efficiency, governance, and compliance. **Expectations:** - Deliver end‑to‑end cloud solutions aligned with client business goals. - Lead automation initiatives and mentor junior engineers. - Stay current with emerging cloud and DevOps technologies and share knowledge within the team. - Promote a people‑first culture, diversity, and inclusion. **Key Responsibilities:** - Architect and provision AWS infrastructure using Terraform, CDK, or similar IaC tools. - Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) for infrastructure and application deployments. - Deploy and manage container platforms (Docker, Kubernetes) supporting product teams. - Implement monitoring, logging, and alerting solutions to ensure platform health. - Automate routine tasks with PowerShell, Azure CLI, or comparable scripting languages. - Collaborate with development teams to integrate applications with cloud services. - Optimize cloud costs and enforce security, governance, and compliance standards. **Required Skills:** - Extensive experience with AWS services and architecture patterns. - Strong proficiency in IaC (Terraform, AWS CDK, ARM templates). - Deep understanding of DevOps principles, CI/CD, and infrastructure automation. - Hands‑on experience with Docker and Kubernetes. - Scripting/automation skills (PowerShell, Azure CLI, Bash, Python). - Familiarity with monitoring tools (CloudWatch, Prometheus, Grafana, etc.). - Ability to work in hybrid/on‑site environments and communicate effectively with stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent professional experience). - AWS certifications preferred (e.g., AWS Solutions Architect – Associate/Professional, AWS DevOps Engineer). - Additional DevOps or cloud certifications (e.g., Terraform Certified Associate, CKA) are a plus.

London, United kingdom

On site

Senior

07-10-2025

Company Name

Slalom

Job Title

Salesforce Developer- Enhance & Operate

Job Description

**Job Title** Salesforce Developer – Enhance & Operate **Role Summary** Design, develop, test, and deploy custom Salesforce solutions that meet business objectives. Work closely with Solution Owners and Technical Leads to transform requirements into robust, scalable implementations, ensuring high quality, maintainability, and adherence to Salesforce best practices. **Expectations** - Self‑driven, proactive “get it done” attitude. - Strong problem‑solving skills for complex business and technical challenges. - Collaborative team player, capable of working with stakeholders, Solution Owners, and Technical Leads. - Comfortable handling both configuration and custom development tasks. - Willingness to continuously learn new Salesforce features and products. **Key Responsibilities** 1. Translate business requirements into well‑architected Salesforce solutions. 2. Participate in technical design sessions; produce design and solution documentation. 3. Develop, test, and document custom code, integrations, and data migration components. 4. Build custom interfaces and extensions using Lightning Web Components, Visualforce, Apex, triggers, batch Apex, and other programmatic solutions. 5. Execute comprehensive test plans, write unit tests, and ensure quality delivery. 6. Follow coding standards, participate in code reviews, and enforce appropriate design patterns. 7. Estimate effort and create work‑breakdown structures for assigned tasks. 8. Stay current with Salesforce releases and new product capabilities, integrating them into projects as needed. **Required Skills** - Minimum 2 years of Salesforce platform experience. - Proficient in Sales Cloud, Service Cloud, Experience Cloud, and AppExchange solutions. - Extensive development experience: Visualforce, Apex controllers, triggers, batch Apex, Lightning Web Components, and related programmatic solutions. - Strong configuration skills using Salesforce point‑and‑click administration interface. - Ability to write automated tests and unit tests. - Excellent analytical, communication, and documentation skills. - Familiarity with version control and development lifecycle practices. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, or equivalent experience. - Active Salesforce certifications (or ability to earn them upon hire): Platform App Builder, Platform Developer I, and JavaScript Development. - Architect‑level certifications (e.g., Identity and Access Management, Sharing and Visibility) are a plus.

Toronto, Canada

On site

Senior

04-11-2025