Senior DevOps Engineer

Aquent

Austin (TX)

On-site

USD 130,000 - 160,000

Full time

14 days+

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Job summary

An innovative technology organization based in Austin, Texas, is seeking a visionary technical leader with a strong background in Python and AI/Machine Learning. This mid-senior level contract role will focus on guiding high-performing teams to design and implement sophisticated cloud-native applications, integrating AI solutions to improve efficiency. The successful candidate will have over 10 years of technical leadership experience and excel in collaborative environments, mentoring teams to achieve excellence and innovation.

Qualifications

10 years of experience in a technical leadership role.
Demonstrated hands-on proficiency in Python.
Proven experience with AI/Machine Learning concepts.
Strong understanding of development systems and systems design principles.

Responsibilities

Lead and inspire a team to deliver projects utilizing agile methodologies.
Collaborate with stakeholders to execute successful project onboardings.
Design, architect, and deploy cloud-native applications.
Drive integration of AI/Machine Learning models.

Skills

Hands-on Python experience

AI/Machine Learning experience

Leadership ability

Collaboration skills

Problem solving

Tools

Docker

Kubernetes

CI/CD pipelines

Cloud platforms

Job description

Interview within 24 hours ONSITE possibility

Candidates need to have hands on Python experience.
10 years of Lead experience
Looking for candidates with AI/ML experience
Development systems knowledge, and an understanding systems design concept.

Job Description

Aquent is partnering with a leading organization at the forefront of innovation, dedicated to shaping the future of technology and delivering exceptional value to its customers. This company thrives on a culture of collaboration, continuous improvement, and impactful engineering, empowering its teams to tackle complex challenges and drive transformative solutions.

About the Role

Are you a visionary technical leader with a passion for cutting‑edge technology and a drive to mentor and inspire? Imagine stepping into a pivotal leadership role where your expertise in modern development practices and AI/ML will directly influence the strategic direction of critical projects. This is an incredible opportunity to guide a high‑performing team, transform high‑level concepts into robust technical designs, and champion the adoption of intelligent solutions that enhance productivity and drive business success. Your contributions will not only shape the technical landscape but also foster a culture of excellence and innovation, making a tangible impact on the organization’s capabilities and future growth.

Key Responsibilities

Lead and inspire a team to deliver projects efficiently, utilizing agile methodologies and best‑in‑class release practices.
Collaborate closely with diverse stakeholders to plan and execute successful new project onboardings.
Translate high‑level architectural visions into detailed technical designs, providing expert guidance and oversight to the development team.
Design, architect, and deploy sophisticated cloud‑native applications on leading cloud platforms.
Drive the integration and application of AI/Machine Learning models to enhance data analytics, visualization, and automation capabilities.
Champion the use of AI‑driven software development tools team productivity, code quality, and documentation.
Mentor and coach multiple teams, fostering technical growth and leadership across various organizational domains.
Present complex architectural solutions and strategic proposals effectively to governance boards and key stakeholders.
Maintain a relentless focus on quality and timely delivery, even under demanding schedules.

Must-Have Qualifications

10 years of experience in a technical leadership role, guiding and overseeing engineering teams.
Demonstrated hands‑on proficiency in Python.
Proven experience with AI/Machine Learning concepts and applications.
Strong understanding of development systems and advanced systems design principles.
Expertise in designing, architecting, and deploying cloud‑native applications on enterprise‑grade cloud platforms.
Extensive experience with various relational and NoSQL database technologies.
In‑depth knowledge of containerization technologies, including Docker and Kubernetes, and experience with CI/CD pipelines.
Proficiency with AI‑Driven software development tools for productivity and code enhancement.
Track record of successfully integrating AI/Machine Learning models to solve business and technical challenges.
Exceptional collaborative mindset with a proactive approach to engaging with product management, architects, site reliability engineers, and other dependent teams.
Ability to work effectively with internal, external, and offshore stakeholders.
Demonstrated ability to engage subject matter experts, understand complex technical topics, and present well‑reasoned solutions.
A track record of creative problem‑solving and crafting designs based on sound engineering principles.