Lead Application Engineer - DevOps Engineering Lead F/M

About the Role

Key Responsibilities

• Provide proactive and results-oriented leadership in the planning, coordination and execution of all technical activities throughout the lifecycle of a sales opportunity, such as technical discovery, negotiation of technical success criteria, product presentations, demonstrations and evaluations. Works independently, responsibly, across teams and organizations.
• Collaborate with Sales to drive the most competitive technical assignments to successful outcomes by leveraging your recognized thought leadership and expertise in the relevant application area.
• Interact with customers to understand their key business initiatives, product development needs and design workflows; analyze how Ansys products and platforms can meet and exceed the customer's goals and improve their key performance indicators; communicate the Ansys value proposition to senior management.
• Lead project teams to develop differentiated but reusable simulation solutions using the Ansys platform and products, deploying these solutions in customers' design workflows.
• Support for knowledge sharing and mentoring programs within Ansys.
• Work with Ansys product development teams to define the Ansys product roadmap; lead project teams testing new versions of Ansys products on industrial problems, develop best practices for applications.
• Demonstrate leadership and active engagement in Ansys initiatives to innovate offerings and solutions, improve technology and productivity, and develop people.
• Support the Ansys Field and Digital Marketing team by developing promotional materials and supporting events as well as writing and delivering conference presentations.
• Lead the design, implementation, and optimization of scalable, secure, and high-performing deployment architectures using Kubernetes and container technologies, including conducting performance and scalability testing of vertical applications and proactively identifying and resolving system bottlenecks.
• Contribute to architecture decisions and strategic planning, ensuring our deployment frameworks and platform scalability align with emerging trends and advancements in cloud infrastructure, DevOps, and deployment automation.

Requirements

• BS or MS or PhD in Mechanical, Chemical, Aerospace, Electrical Engineering or related field.
• Minimum of 8 years of professional experience with a BS, 6 years with an MS, or 3 years with a PhD in an engineering software environment.
• Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages.
• Subject matter expert in one or more relevant disciplines within Ansys' business and sought out for advice by other engineers.
• Understanding of engineering practices and product development, experience with building solutions using simulation technology and deploying those solutions within customers' workflows.
• Proven track record of delivering exceptional customer outcomes and revenue impact.
• Strong leadership and mentoring skills.
• Logical problem-solving, strong interpersonal and communication skills, fluent in English.
• Ability to organize and manage multiple complex projects with a sense of urgency.
• Proven experience (5+ years) in leading application deployments in production environments.
• Expertise with Kubernetes and container orchestration in large-scale deployments.
• Experience with multiple DevOps pipelines tools (GitHub Actions, GitLab CI, Jenkins) and Infrastructure as code (Terraform, Pulumi).
• Proficiency in performance testing, scalability analysis, and tuning of distributed systems.
• Experience with monitoring and observability stacks (Grafana, OpenTelemetry).
• Solid understanding of cloud platforms (AWS, GCP, Azure) and hybrid/multi-cloud architectures.
• Proficient in Python scripting, particularly using simulation software APIs and automation tools.

Nice to Have

• Preferred education and experience: BS+12, MS+10, or PhD+7 years in an engineering software environment.
• Four years of experience in application engineering, customer support, or consulting roles using engineering software.
• Ability to interact effectively with senior business managers and C-level executives.
• Basic understanding of programming languages such as C# (.NET), Javascript, HTML.
• Practical knowledge of agility and agile project management.
• Ability to travel domestically up to 50% of the time.

Qualifications

• BS or MS or PhD in Mechanical, Chemical, Aerospace, Electrical Engineering or related field.
• Minimum of 8 years (BS), 6 years (MS), or 3 years (PhD) of professional experience in an engineering software environment.

Benefits & Perks

• Not explicitly specified in the description.