Director, Software Engineering & Development

What We're Looking For: We are looking for a manager who can balance people leadership, technical judgment, and delivery execution. The ideal candidate is someone who:

• Has a strong software engineering background
• Understands how modern software teams build, test, deploy, and operate production systems
• Can coach software engineers, SDETs, DevOps engineers, and support engineers
• Stays technically engaged with the team's codebase, architecture, development workflow, and operational tooling
• Knows when to guide, when to delegate, and when to contribute hands-on to help the team move forward
• Knows how to create clarity in ambiguous environments
• Can translate business and platform goals into team execution
• Has strong instincts around quality, automation, observability, reliability, and supportability
• Is comfortable working in a fast-moving AI environment
• Can partner well with product owners, architects, data scientists, business stakeholders, and senior leaders
• Wants to grow into broader engineering leadership responsibility over time

Preferred Qualifications: Experience with one or more of the following is helpful, but not required:

• Managing or leading teams that build enterprise platforms, internal developer platforms, AI platforms, or shared services
• Experience with AI-enabled applications, LLM-powered systems, RAG, chatbots, agent workflows, or AI-assisted engineering practices
• Familiarity with Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud and engineering tools
• Experience with engineering teams using AI-powered development tools such as Cursor, Claude Code, or similar platformsExperience leading teams that use automated testing, SDET practices, Playwright, Python-based test automation, or end-to-end testing
• Experience with DevOps practices, CI/CD pipelines, release automation, infrastructure automation, or cloud operations
• Experience with observability tools such as New Relic, Langfuse, Open
• Telemetry, Azure Log Analytics, or similar platformsExperience managing geographically distributed teams
• Experience improving production support models, incident management, operational readiness, or service reliability
• Experience working with enterprise systems such as Salesforce, internal platforms, APIs, workflow systems, or service-oriented architectures
• Experience leading teams through ambiguity, rapid change, or emerging technology adoption
• Experience building succession plans, development plans, hiring strategies, or team capability roadmaps
• Interest in continuing to grow leadership responsibility

What Success Looks Like: You will be successful in this role if you: Build a team that delivers high-quality software consistently. Develop engineers, SDETs, DevOps engineers, and support engineers into stronger technical contributors. Create a culture of ownership, accountability, speed, and quality. Stay technically close enough to guide decisions, unblock the team, and occasionally contribute hands-on without becoming a bottleneck or displacing team ownership. Help the team use AI-assisted development tools without lowering engineering standards. Improve how the team builds, tests, deploys, monitors, and supports software. Partner effectively with product owners, architects, data scientists, business stakeholders, and senior leaders. Create clarity when priorities are ambiguous or changing. Raise the quality of engineering practices across the team. Identify performance gaps early and address them directly and constructively. Hire strong talent and help retain high-performing associates. Help the team connect day-to-day execution to broader Enterprise AI Platform goals. Grow your own leadership scope, judgment, and organizational influence over time. The national average salary range for this role is$170-220k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits. Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider.

Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").