We are hiring on behalf of our client Full Stack Engineer (Mid – Level).

The Full Stack Engineer will join a dynamic team and contribute to the design, development, and delivery of reliable, scalable web applications. The role involves working across both frontend and backend technologies, developing new features, integrating databases and APIs, and contributing to code quality, testing, and continuous improvement throughout the development lifecycle.

Responsibilities

Frontend Development

• Develop and maintain modern web applications using React and Next.js.
  
• Build responsive, reusable, and maintainable UI components.
  
• Work with server-side and client-side rendering where appropriate.
  
• Implement structured styling using SCSS and CSS Modules.
  
• Optimize frontend performance, usability, and application responsiveness.
  

Backend Development

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Wealth Management Consultant with hands-on expertise in Tamarac, custodial data integration, and Salesforce CRM. An ideal candidate will take immediate ownership and hit the ground running, independently driving deliverables, troubleshooting data/integration issues, and optimizing CRM workflows with minimal oversight.

Responsibilities:

Integration & Data Management:

• End-to-End Ownership: Lead custodial data integration initiatives from requirements gathering through implementation, testing, and production delivery.
• Data Mapping & Sync: Ensure custodial feeds are accurately ingested, normalized, mapped, and synchronized from Tamarac into Salesforce CRM.
• Data Quality & Troubleshooting: Analyze, troubleshoot, and resolve data discrepancies, integration issues, and pipeline bottlenecks.

CRM & Workflow Optimization:

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Sr. Solution Architect with extensive experience in data architecture, cloud services (Azure preferred), and AI-driven solutions. This role focuses on designing scalable, secure, and high-performance data and AI solutions, collaborating with cross-functional teams, and ensuring best practices in data governance and security.

Responsibilities:

• Design and implement scalable cloud-native solutions on Azure, ensuring security and performance.
• Architect end-to-end data solutions, integrating data sources, processing systems, and AI/ML platforms.
• Build conceptual & logical architectures for data-driven programs.
• Provide guidance on data pipelines, ETL/ELT workflows, and data integration.
• Implement data governance frameworks, ensuring data quality and compliance.
• Collaborate with stakeholders to understand requirements and deliver innovative solutions.
• Mentor team members and provide technical guidance where needed.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Program / Engagement Lead to lead a large-scale enterprise analytics transformation initiative focused on modernizing Plant Performance Reporting across manufacturing operations in the Americas. The engagement involves productionalizing an existing reporting framework, expanding standardized reporting across global manufacturing plants, establishing a scalable Snowflake data foundation, and delivering executive Power BI dashboards that enable data-driven operational and financial decision making.

The Engagement Lead will serve as the primary client-facing leader responsible for overall program delivery, executive stakeholder management, governance, cross-functional coordination, and successful rollout across business and IT organizations. The role will work closely with Finance, Supply Chain, Manufacturing, Plant Controllers, Data Engineering, Power BI, and Enterprise IT teams while directing offshore delivery teams.

RESPONSIBILITIES:

About us

At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.

About the role

Reporting to the Head of Business Intelligence, the Data Scientist will work across the full data lifecycle, developing advanced models, building scalable data solutions, contributing to the businesses data and AI strategy and helping shape our modern data platform as we transition to Microsoft Fabric.

Duties & Responsibilities

Gritter Francona is looking for a Senior Developer to help support the full lifecycle deployment and implementation of the Oracle EHR system throughout the Veterans Affairs hospitals. As aSenior Developer, you will serve as a technical leader responsible for designing, developing, and supporting enterprise integration solutions within the ServiceNow platform. You will play a critical role in delivering scalable, secure, and high-quality integrations that enable business and operational success across client and partner organizations.

In this role, you will collaborate with architects, developers, business stakeholders, and program leadership to implement integration solutions, resolve complex technical challenges, and ensure successful delivery across multiple workstreams. You will provide technical expertise, mentor junior developers, assess implementation risks, and contribute to continuous improvement initiatives in a dynamic, fast-paced environment.