We are looking for a Mid-Level DevOps Engineer with solid experience in cloud infrastructure, automation, CI/CD, and deployment processes. The ideal candidate will work closely with development and operations teams to improve system reliability, automate processes, and ensure efficient and scalable software delivery.

Key Responsibilities

• Build, maintain, and improve CI/CD pipelines for automated application build, testing, and deployment.
• Manage and maintain cloud infrastructure and environments.
• Automate infrastructure provisioning, configuration, and deployment processes.
• Monitor system performance, availability, and reliability, and troubleshoot technical issues when needed.
• Implement and maintain Infrastructure as Code (IaC) practices.
• Work with development teams to support application deployments and improve release processes.
• Manage containerized applications and deployment environments.
• Implement security and best practices across infrastructure and deployment processes.
• Troubleshoot production and infrastructure issues and support incident resolution.
• Contribute to improving system scalability, reliability, and operational efficiency.
• Work in an Agile environment and collaborate with cross-functional teams.

Requirements

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 into the one-stop shop for all home services. Getting there depends on how fast we can test, learn, and scale what works.

About the Data Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. The experimentation program runs on real rigor, not vibes: pre-registered analysis plans gate every test launch, anytime-valid statistics keep mid-run dashboards honest under continuous viewing, automated daily SRM and attribution health sweeps catch broken tests early, and seasonal power forecasting accounts for a business that swings hard by time of year. The test lifecycle, design through readout, is already AI-driven. Our analysts are stretched across product, so Growth support has stayed part-time and reactive, until now.

The Role

The Head of Analytics leads the group’s analysis, data and digital capability. The role leads modelling, transaction analysis and market data for Union Maritime, alongside the digitalisation and automation agenda. It uses data, analytics, automation and AI to improve the speed, quality and consistency of decision-making, and owns the models, tools and data foundations that the business relies on.

The new Head should bring strong technical and digital depth: hands-on credibility in data, financial modelling, BI, automation and applied AI, and the leadership to modernise how the group works with data.

Requirements

Transaction analysis and modelling

·         Lead the analytical evaluation of vessel acquisitions and disposals, newbuilding investments, fleet renewal and optimisation, and other strategic transactions across the group.

·         Build, own and modernise the group’s analytical and financial models, applying consistent standards, assumptions and version control.

·         Provide the analysis and models that underpin deals and transactions, including scenario and sensitivity analysis across varying market conditions.

·         Set modelling standards, templates and review processes so that transaction analysis is robust, consistent and auditable.

·         Present analysis and recommendations clearly to senior leadership.

Role and engagement model:

Act as the architecture lead for defined initiatives within the client's Power Platform landscape. Translate business capabilities and non-functional requirements into pragmatic end-to-end solution architectures. Provide architecture direction and

Key Responsibilities:

• Design end-to-end architectures covering Power Apps, Power Automate, Data verse, Power Pages, Azure services and external integrations.
• Define solution boundaries, data models, integration patterns, security concepts and environment strategies.
• Guide decisions between configuration, low-code and custom development, including React, PCF and Azure components where appropriate.
• Ensure alignment with enterprise architecture, identity, data protection, ALM and operational support requirements.
• Lead architecture reviews, document decisions and manage technical risks, dependencies and exceptions.
• Support estimation, backlog refinement and delivery planning with product owners and engineering teams.
• Coach developers and review solution designs, code approaches and deployment concepts.
• Provide technical leadership during critical releases, production stabilization and root-cause analysis.
  

Requirements

Role and engagement model

• Work as an external delivery specialist embedded in the client's agile platform team.
• Take ownership of defined work packages from refinement and design through build, test, deployment and stabilization.
• Collaborate closely with developers, architects, product owners and business stakeholders while following the client's governance and engineering standards.

Key responsibilities

• Design, build and enhancemodel-driven apps and Canvas apps using reusableand maintainablepatterns.
• Create Power Automate cloud flows, approvals and integrations with appropriate error handling and monitoring.
• Design Dataverse tables, relationships, security roles, business rules and solution components.
• Integrate Microsoft and third-party services through standard connectors, custom connectors and REST APIs.
• Deliver changes through managed solutions, source control and Azure DevOps based ALM.
• Perform unit testing, peer reviews, defect fixing, technical documentation and production support.
• Coach internal developers through pairing, code reviews and concise technical handovers.

Requirements

Mandatory experience

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for a Snowflake Administrator - DataOps with 12–15 years of overall IT experience and strong hands-on experience supporting Snowflake administration, DataOps, and DevOps in enterprise environments. The ideal candidate will be responsible for managing and supporting the Snowflake platform, ensuring its availability, security, performance, scalability, and operational stability, while also supporting automation, deployment, monitoring, and DataOps processes.

Key Responsibilities

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 into the one-stop shop for all home services. Getting there depends on how fast we can test, learn, and scale what works.

About the Data Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. The experimentation program runs on real rigor, not vibes: pre-registered analysis plans gate every test launch, anytime-valid statistics keep mid-run dashboards honest under continuous viewing, automated daily SRM and attribution health sweeps catch broken tests early, and seasonal power forecasting accounts for a business that swings hard by time of year. The test lifecycle, design through readout, is already AI-driven. Our analysts are stretched across product, so Growth support has stayed part-time and reactive, until now.

The Role

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, spanning three brands: LawnStarter, Lawn Love, and Home Gnome. We've cleared $750M in bookings and turned a profit three years running. Founded in Austin in 2013, we're a team of about 180 that scales past 500 employees during peak season. The marketplace itself is easy to describe and hard to run well: a customer requests a recurring service, we price the job and match it to an eligible Pro, the Pro claims and completes the work, and we manage the ongoing relationship for the consumer across the maintenance services they need fulfilled.

We're entering the most ambitious stretch in the company's history as we build new verticals, new software products, and the groundwork to become a multi-billion-dollar company.

One of our company values is AI or Extinction: every task, AI-first. No exceptions, no excuses. Top 1% or we're already a fossil. This role is hired against that bar.

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep analytical thinking with pragmatic execution, and always delivering on time? If you’re ready to take your data science, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!

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, with customers and pros on both sides and real money moving every day.

About Security at LawnStarter

Security is already part of how we build — today it's owned by our Cloud & DevOps team, who've kept it solid as we've scaled. As we grow a $150M+ marketplace that processes payments, holds customer and pro data, and runs on AWS — and as AI agents let us ship faster than ever — we're ready to take security to the next level with a dedicated leader.