Join our team
Careers at Avtal
Help collection agencies scale compliant digital outreach, payments, and self-serve consumer experiences.
Roles
Open positions
Review roles across Client Growth and Engineering.
Client Growth
Client Growth Lead
Partner with operators, leadership, and technical teams to help collection agency clients move from initial usage to fully scaled programs on Avtal.
Ramp clients
Own high-potential accounts beyond go-live.
Unblock data
Move clients toward reliable, automated data exchange.
Drive expansion
Grow account volume, data coverage, and platform usage.
View role overview
About the role
Avtal works with collection agencies to power compliant, white-labeled digital outreach and payments across text, email, and self-serve consumer experiences. This role helps clients move from initial usage to real scale on the platform.
Key responsibilities
- Own a set of high-potential accounts through full ramp, not just go-live.
- Define what fully ramped looks like across data coverage, automation, volume, and account freshness.
- Identify what is slowing clients down across operations, data, or internal process and drive resolution.
- Work with client operators and IT teams on SFTP, file formats, ongoing updates, mapping, file structure, and data consistency.
- Move clients from manual or partial processes to reliable, automated data exchange.
- Build relationships with operators, decision-makers, owners, and hands-on technical counterparts.
- Grow usage across account volume, data coverage, and earlier account uploads, tying platform usage to recovery performance and operational efficiency.
- Translate between operational goals and technical execution across multiple systems, teams, and constraints.
- Surface client patterns around onboarding, data, and ramp so product and engineering can improve real-world workflows.
- Take ownership of outcomes, not just tasks, especially when complex or high-impact situations stall.
What we're looking for
- Deep familiarity with collections operations through experience at a collection agency, creditor, or building products used in collections.
- Experience owning B2B client relationships, ideally through a complex integration.
- Comfort engaging both senior stakeholders and hands-on technical counterparts, including conversations about data exchange, file-based integrations, and IT coordination.
- Strong ownership and follow-through.
- Comfortable operating in a fast-moving, unstructured environment.
What success looks like
- Clients ramp quickly, with clear progress on data coverage, automation, and volume.
- Measurable movement on time to second batch of uploads, percentage of the agency's eligible book on Avtal, and time to full penetration.
- Data exchange is set up cleanly and reliably early.
- Clients expand usage in a sustained way that shows up in revenue.
- Complex situations move forward without escalation.
- Product and engineering benefit from clear, actionable client feedback.
Why this role
This is not a traditional portfolio role. The work is focused where it has the most impact: helping clients operationalize a core system in their business while shaping how Avtal scales as a company.
Engineering
Austin, TX
Client Growth
Software Engineer
Build scalable backend services with Go, SQL, Linux, AWS, and production AI engineering for a highly regulated platform.
Backend services
Design Go services, APIs, SQL data models, and reliable platform systems.
AI engineering
Use LLM APIs, prompt design, evaluation, orchestration, and observability.
Regulated systems
Build with attention to reliability, security, auditability, privacy, and performance.
View role overview
About Avtal
We are a Series A, VC-backed company that grew revenue 35x last year. We help third-party debt collection agencies deliver a digital, end-to-end self-service experience for their consumers.
About the role
We are seeking a skilled and motivated Software Development Engineer with strong experience in Go, SQL, Linux, and AWS. This role is focused on designing, building, and operating scalable backend services that power our platform in a highly regulated environment. You will work on systems that require strong attention to reliability, security, auditability, and performance. The ideal candidate is a strong backend engineer who is comfortable owning services end-to-end, motivated by growth and scalability, and excited to leverage AI tools and integrate real AI capabilities into production systems.
Responsibilities
- Design, develop, and maintain scalable backend services using Go (Golang)
- Build systems and APIs that operate reliably in a highly regulated environment
- Work with SQL databases (e.g., PostgreSQL) to model data and write efficient, maintainable queries
- Collaborate on designing secure, reliable, and scalable infrastructure in AWS
- Build and integrate AI-powered features and workflows using modern APIs, models, and supporting tools
- Help design data flows and service patterns that support compliance, observability, and operational resilience
- Participate in code reviews, architecture discussions, and engineering best practices
- Monitor, troubleshoot, and improve performance across backend systems
- Write clear documentation and contribute to team knowledge-sharing
Requirements
- 5+ years of professional experience in software engineering
- Strong problem-solving skills and a proactive mindset
- Experience developing & maintaining high traffic REST APIs
- Proficiency in Go (Golang) for backend development or a strong Java background
- Strong SQL skills and understanding of relational database design
- Experience working with AWS services such as EC2, S3, RDS, IAM, CloudWatch, etc.
- Experience building backend systems with a focus on reliability, security, and maintainability
- Experience with version control (Git) and CI/CD workflows
- Practical exposure to AI Engineering & Tooling
- Ability to work thoughtfully within a highly regulated environment with attention to data handling, controls, and system integrity
Nice to have
- Familiarity with compliance-minded engineering practices, auditability, and secure software design
- Experience building internal tooling or customer-facing features powered by AI
- Familiarity with monitoring tools (e.g., Prometheus, Grafana, Kibana)
Engineering / DevOps
Austin, TX
Client Growth
DevOps Engineer
Build and operate AWS, Linux, Terraform, CI/CD, and AI infrastructure for reliable, secure production systems.
Cloud infrastructure
Build AWS and Linux systems with Terraform, Ansible, Python, Go, and shell scripting.
Delivery pipelines
Improve CI/CD, automated deployments, developer productivity, and operational resilience.
AI infrastructure
Support secure runtime environments, observability, service orchestration, and cost-conscious operations.
View role overview
About Avtal
We are a VC-backed company that grew revenue 35x in the past year. We help third-party debt collection agencies deliver a digital, end-to-end self-service experience for their consumers.
About the role
We are looking for a skilled and motivated DevOps Engineer with strong experience in AWS, Linux, infrastructure automation, CI/CD pipelines, monitoring & alerting, and infrastructure security. In this role, you will be instrumental in building, maintaining, and scaling our cloud-native infrastructure, improving deployment workflows, and ensuring the reliability, security, performance, and auditability of our systems in a highly regulated environment. You will also help support the infrastructure and operational foundations needed for AI-powered applications, including secure runtime environments, observability, scalable service orchestration, and cost-conscious operations.
Responsibilities
- Develop and operate secure, scalable infrastructure on AWS (e.g., EC2, S3, RDS, IAM, CloudWatch)
- Build and maintain infrastructure automation tools using Ansible, Terraform, Python, Go, and shell scripting
- Maintain and optimize Linux-based systems across development and production environments
- Implement and manage CI/CD pipelines and automated deployment workflows
- Monitor system health, performance, reliability, security, and AI service observability using modern tooling
- Troubleshoot production issues, perform root cause analysis, and implement durable improvements
- Support infrastructure for AI-powered services, including runtime reliability, operational visibility, and secure service configuration
- Collaborate with engineering teams to improve infrastructure reliability, scalability, developer productivity, and operational resilience
- Document infrastructure processes, runbooks, and best practices to support knowledge sharing, onboarding, and compliance requirements
Requirements
- 6+ years of experience in DevOps, SRE, or Infrastructure Engineering
- Proven experience with AWS services such as EC2, ECS, S3, RDS, IAM, CloudWatch, etc.
- Proficiency in infrastructure automation and tooling using Ansible, Terraform, Python, Go, and shell scripting
- Hands-on experience with infrastructure as code, including Terraform or CloudFormation
- Hands-on experience with CI/CD systems and version control (Git)
- Deep understanding of Linux system administration, shell scripting, and process management
- Strong debugging, troubleshooting, and problem-solving skills
- Ability to build and operate systems with attention to reliability, security, and auditability in a highly regulated environment
- Familiarity with infrastructure needs for AI-enabled systems, such as model API integrations, service orchestration, observability, cost monitoring, or secure data handling
Nice to have
- Familiarity with monitoring and observability tools such as ElasticSearch, Prometheus, Grafana, and Kibana
- Understanding of secure infrastructure design and cloud compliance best practices
- Experience supporting SOC compliance audits
- Experience supporting high-availability production systems in regulated or security-conscious environments