WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

Cloud Migration Engineer

You are the engineer clients trust to move their infrastructure to GCP without drama. No data loss, no unplanned downtime, no surprises. You've done this before at production depth — not as a supporting player, but as the person who owned the outcome.Half your work is technical: designing the migration architecture, writing the Terraform that makes it repeatable, and executing the cutover with the discipline that comes from having seen what goes wrong. The other half is client-facing: translating messy real-world infrastructure (legacy systems, undocumented dependencies, nervous stakeholders) into a migration plan that the client can understand and the build team can execute.You use AI to work more efficiently. You don't use it as a substitute for knowing what you're doing. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 8-12 years of cloud engineering experience, with a track record of owning GCP migrations end to end at production depth.
• Proven success migrating production workloads to GCP with no data loss and no unplanned downtime. You can walk us through a migration you owned, what went wrong, and how you handled it.
• Strong Terraform expertise: you write infrastructure as code by default, not as an afterthought.
• Multi-cloud fluency: you understand the source environments clients are migrating from and can map their architecture to GCP equivalents without starting from scratch.
• Consulting or client-facing experience: you can lead a room, manage expectations, and communicate technical risk to people who don't want to hear it.
• Clear, direct written communication: migration plans, runbooks, and handoff docs that someone else can actually use.

Nice to have

• GCP Professional certifications (Cloud Architect, Data Engineer, or equivalent).
• Experience with containerized workloads: GKE, Cloud Run, or equivalent.
• Familiarity with data migration tooling: Database Migration Service, Datastream, Transfer Service.
• Exposure to compliance requirements in migration contexts: data residency, encryption in transit and at rest, audit logging.
• Experience with CI/CD pipeline migration and modernization.

What you’ll be doing in this role:

• Migration architecture and planning: assessing client environments, mapping dependencies, designing the target GCP architecture, and producing a phased migration plan that accounts for real operational constraints.
• Infrastructure as code: writing and maintaining Terraform configurations that make every migration repeatable, auditable, and reversible where it needs to be.
• The cutover: owning the execution of production migrations with zero data loss and no unplanned downtime. You've done this enough times to know where it goes wrong and how to prevent it.
• Client communication: running technical discovery sessions, presenting migration plans to non-technical stakeholders, and keeping clients informed at every phase without burying them in detail.
• Post-migration validation: performance baselines, monitoring setup, and the handoff documentation that means the client isn't dependent on you forever.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

CLOUD ENGINEER

What experience should you have:

• 4+ years of professional web application development experience.
• Strong command of TypeScript and either Go or Python with full-stack development experience.
• Knowledge of Google Cloud Platform, specifically Load Balancing and web architecture.
• Experience operating Cloud Run applications in production environments.
• Proficiency with Git workflows and agile development processes (SDLC).

Preferred: Professional Cloud Developer certification or experience in client-facing consulting.

What you’ll be doing in this role:

• Build and implement web applications using TypeScript (Svelte), Go, and Python (FastAPI).
• Design and optimize PostgreSQL database schemas to ensure performance and data integrity.
• Manage application deployments on GCP using Cloud Run and Cloud SQL
• Develop user-friendly interfaces using modern frameworks like Svelte.
• Collaborate with data science teams to integrate AI models into production APIs.

What you'll need to accomplish in your first year:

• Successfully deploy and maintain high-availability cloud applications for client projects.
• Consistently deliver clean, secure, and performant code that meets team standards.
• Become a key contributor to the technical integration of AI-driven features into web interfaces.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR DATA ENGINEER

We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.

What experience should you have:

• 6+ years of data engineering experience with a focus on modern cloud platforms.
• Expert-level proficiency in Python and SQL is mandatory.
• Strong software engineering background with proficiency in Python for building custom integrations and data tools.
• Deep production experience with dbt for data modeling and Airflow for orchestration.
• Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
• Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
• Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
• Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications

• Experience architecting feature stores or data pipelines specifically for ML workloads.
• The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
• A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
• An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you’ll be doing in this role:

• Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
• Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
• Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
• Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:

• Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
• Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
• Standardize the organization’s approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR CLOUD ENGINEER

What experience should you have:

• 8+ years of professional web application development experience.
• Expert-level command of Go and Typescript with full-stack development experience.
• Expert-level knowledge of Google Cloud platform, including VPC, Load Balancing, and web application architecture.
• Strong background in web application architecture design, and best practices.
• Extensive experience operating cloud run applications in production environments with high availability and scalability.
• Proficiency with git workflows and understanding of agile application development processes (SDLC).

Preferred Qualifications

• Professional Cloud Developer certification.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Direct experience supporting data science teams or building AI-driven applications.

What you’ll be doing in this role:

• Lead the architecture and implementation of complex web applications using Go, TypeScript (Svelte), and Python (FastAPI).
• Design and optimize relational database schemas and queries using PostgreSQL, ensuring data integrity and performance.
• Architect and manage the deployment of web applications on Google Cloud Platform, utilizing services such as Cloud Run, Cloud SQL (PostgreSQL), Vertex AI, and various Google Cloud APIs.
• Develop maintainable and user-friendly interfaces using modern frameworks (e.g., Svelte, HTMX)
• Collaborate with data science teams to integrate AI models into production-ready web interfaces and APIs.

What you'll need to accomplish in your first year:

• Actively mentor and guide junior and mid-level developers, fostering a culture of continuous learning and technical growth within the team.
• Establish best practices for development. Conduct thorough, constructive code reviews to maintain high standards of logic, security, and performance.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite