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3 results for Network Engineer in Austin, TX

Software Engineer

Austin, TX
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Software Engineer to join a team building reliable, scalable applications in Austin, Texas. This role focuses on creating modern full stack solutions that support a healthcare SaaS environment, with an emphasis on quality, security, and strong engineering practices. The ideal candidate brings a thoughtful approach to problem-solving, collaborates effectively across disciplines, and contributes to both product delivery and technical excellence. Responsibilities: • Build and deliver full stack software solutions across user-facing interfaces and server-side systems using current development frameworks and tools. • Produce well-structured, maintainable code and uphold engineering standards that support long-term scalability and readability. • Partner with product managers, designers, quality teams, and operational stakeholders to turn business needs into effective technical outcomes. • Guide less experienced developers through coaching, code feedback, and shared learning that strengthens overall team capability. • Help shape system architecture by contributing to technical planning and design decisions that support platform growth. • Apply security, privacy, and compliance considerations throughout development to meet the expectations of regulated healthcare software. • Investigate production issues, resolve defects, and improve application speed, stability, and dependability. • Support automated build, test, and release workflows by enhancing CI/CD processes and development automation.
2026-05-15T00:00:00Z

DevOps Engineer

Austin, TX
onsite
Temporary / Contract
65 - 78 USD / Hourly
DevOps EngineerHybrid | Austin, TX | Contract-to-Hire We are seeking a DevOps Engineer to support the design, implementation, and optimization of scalable infrastructure and CI/CD pipelines. This individual will partner with engineering and platform teams to improve deployment velocity, system reliability, and overall operational efficiency across cloud-based environments. Responsibilities:<ul><li>Design, build, and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI</li><li>Manage and provision cloud infrastructure in AWS, Azure, or GCP using Infrastructure as Code (Terraform, CloudFormation, Bicep)</li><li>Automate deployment, scaling, and system monitoring processes</li><li>Implement and manage containerization and orchestration using Docker and Kubernetes</li><li>Monitor system performance and reliability using tools like Datadog, Prometheus, Grafana, or New Relic</li><li>Collaborate with development teams to support release management and environment consistency</li><li>Maintain and optimize version control workflows (Git, Bitbucket)</li><li>Ensure security and compliance across infrastructure (secrets management, IAM policies, vulnerability scanning) using tools like Vault, Snyk, or Aqua Security</li><li>Troubleshoot production issues and drive root cause analysis</li></ul>
2026-06-04T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
57 - 63 USD / Hourly
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing. Responsibilities: • Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery. • Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers. • Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse. • Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff. • Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs. • Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability. • Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations. • Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
2026-05-20T00:00:00Z