Role Description This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time. As a Manager, Software Engineering on our team, you will oversee the end-to-end delivery of Pega projects, ensuring that timelines and quality standards are consistently met. In this management role, you will motivate and inspire your team, leveraging their unique strengths while managing performance to deliver on business expectations. - Lead the planning, execution, and completion of features, managing project scope, risks, and dependencies to ensure successful delivery. - Analyze and identify linkages and interactions between component parts to ensure the integrity of the entire system. - Foster a culture of continuous improvement and collective ownership of quality and deliverables. - Set clear, measurable performance goals for team members and conduct regular 1:1s to track progress. - Provide timely, actionable feedback and manage the full employee lifecycle—from hiring and onboarding to performance management and reviews. - Utilize code reviews and work assessments not just for quality control, but as opportunities to deepen team expertise. - Collaborate with senior stakeholders to provide strategic insights and effective automation solutions. - Proactively address conflicts or issues, engaging in difficult conversations with team members and stakeholders, and escalating only where appropriate. Qualifications - Proven ability to lead the delivery of complex Pega projects and design workflows using Pega capabilities. - Strong capability to effectively mentor others, develop skills outside of the team’s comfort zone, and guide junior members on Agile principles. - Ability to bridge the gap between technical teams and business needs, driving collaboration across cross-functional groups. - A mindset focused on utilizing innovative approaches to improve project outcomes and encouraging the team to do the same. Requirements - 5+ years of professional development experience and have led teams informally or formally on large projects. - Bachelor's degree in Information Technology or related field or equivalent work experience. - Experience having direct reports is preferred but not required. - Extensive experience designing workflows using Pega capabilities. - A track record of driving collaboration across cross-functional teams. - Deep understanding of Agile principles and experience mentoring teams on their application. - Ability to manage complex project scopes and mitigate risks effectively. Benefits - Work From Home: Enjoy a casual work environment while working from your home office (in an approved city & state). - Medical, dental, and vision coverage with a sizable amount of insurance premiums covered. - 401(K), company-paid life insurance policy, short and long-term disability coverage. - Growth Opportunities: Commitment to providing employees with opportunities to grow professionally. - Tuition Reimbursement for professional development. - Wellness Program including self-guided coaching and cash incentives. - Competitive pay across the organization. - Paid Time Off including wellness days, holidays, and vacation time for part-timers.

• Oversee multiple development teams, ensuring ROI-aligned delivery • Define KPIs, budgets, and SLAs for application portfolio • Implement and maintain DevOps, CI/CD, and quality frameworks • Mentor and hire top engineering talent • Liaise between IT and business to align technical strategy

Role Description We are looking for a Staff Software Engineer to serve as a technical anchor and force multiplier for our engineering teams. In this role, you will shape architecture, drive modernization, and cultivate a culture of engineering excellence — all while keeping a pragmatic eye on product delivery. You will bridge the gap between high-level strategy and day-to-day execution, ensuring that every iteration moves us meaningfully closer to our long-term engineering goals. Core Responsibilities - Technical Leadership & Architecture - Serve as "Anchor" (team lead) for one or more engineering teams, providing technical direction and accountability. - Develop architecture and strategy for features and projects, ensuring alignment with broader modernization goals. - Lead the adoption of new technologies while maintaining architectural cohesion across the platform. - Guide tech-debt elimination in parallel with feature development, balancing long-term health with near-term roadmap commitments. - Evaluate multiple approaches to complex problems and champion optimal, evidence-based solutions. - AI-Driven Development - Champion the team's adoption of AI-driven development practices, serving as the primary advocate and practitioner on the ground. - Design and build Model Context Protocol (MCP) servers and AI skills that extend and integrate AI capabilities into the team's workflows and products. - Contribute to the broader AI tooling ecosystem, including AI-driven peer review pipelines, context retention mechanisms, prompt and memory management utilities, and other infrastructure that improves the efficiency and reliability of AI-assisted workflows. - Monitor and assess AI-driven development progress across the team, identifying opportunities to accelerate adoption and address gaps. - Apply AI to quality engineering — leveraging it to enhance test coverage, automate regression analysis, and surface risk earlier in the development cycle. - Use AI to analyze customer usage patterns, surfacing insights that inform product decisions and help the team build with greater empathy and precision. - Contribute to and help shape the company's AI-driven engineering culture — modeling best practices, sharing learnings broadly, and influencing how AI is adopted across teams beyond your own. - Mentor team members on effective, responsible use of AI tooling — from code generation to agentic workflows — helping them build fluency and confidence. - Adhere to and operationalize guidelines established by the AI Center of Excellence, ensuring the team's AI practices remain consistent, secure, and aligned with organizational standards. - Evaluate emerging AI development tools and frameworks, providing informed recommendations on what to adopt, pilot, or defer. - Engineering Excellence - Establish and model best practices in code quality, testing, DevOps, and software design. - Leverage peer review processes as a lever to raise the quality bar across the team. - Quantify engineering excellence and provide teams with clear capability roadmaps. - Stay current with industry trends and inspire the team to explore and adopt better solutions. - Collaboration & Communication - Drive deep understanding in technical discussions — going beyond surface-level involvement to uncover root causes and durable solutions. - Present complex technical concepts clearly to audiences with varying levels of expertise, from engineers to product and business stakeholders. - Understand customer motivations, needs, and frustrations within the context of both the technology and the broader industry. - Balance a commitment to technical excellence with pragmatic product roadmap goals. - Mentorship & Growth - Provide mentorship to engineers at all levels, fostering continuous growth for both individuals and the team as a whole. - Champion a culture of analytical and evidence-based decision making. Qualifications - 7+ years of professional software engineering experience, including hands-on work with both strongly-typed and dynamically typed languages. - Proficiency across multiple technology stacks with a "T-shaped" profile — broad knowledge of modern engineering disciplines paired with deep expertise in key areas. - Demonstrated ability to modernize legacy applications and resolve complex architectural challenges. - Strong command of Domain-Driven Design (DDD) principles and software engineering design patterns. - Expertise in monolith decomposition strategies that maintain roadmap alignment and minimize disruption. - Well-versed in DevOps practices and quality engineering disciplines (CI/CD, testing strategies, observability, etc.). - Hands-on experience building MCP servers and/or AI skills, with a strong understanding of agentic workflow patterns and context management strategies. - Experience contributing to AI tooling — such as AI-assisted code review systems, memory/context retention utilities, or developer productivity infrastructure built around LLMs. - Familiarity with applying AI to quality engineering and customer analytics (e.g. test generation, usage pattern analysis, behavioral insights). - Familiarity with AI-assisted development tools (e.g. GitHub Copilot, Cursor, Claude Code) and a track record of driving their adoption within an engineering team. - Awareness of AI governance principles and the ability to apply organizational AI standards in day-to-day engineering practice. - A genuine enthusiasm for AI-driven development culture — someone who leads by example and helps others grow their AI fluency. - Proven ability to think strategically while executing tactically and operationally. - Skilled communicator with experience presenting to mixed technical and non-technical audiences. Special Work Conditions - Sedentary – Involves sitting most of the time but may involve walking or standing for brief periods of time. - Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull. Benefits - Cast & Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! - Note: Cast & Crew benefits are subject to eligibility requirements.

• Manage project team(s) consisting of engineers, designers, estimators, controls and scheduling professionals involved in the design, modification, and analysis of new and existing high voltage substations • Work on challenging assignments from individual projects, large projects, major programs, to large scale engineering only, Engineer Procure and EPC projects • Direct the Electrical team lead in the coordination of detailed design phases for all aspects of electrical engineering work • Lead efforts to ensure projects are completed satisfactorily, with high quality, on time performance and to strict financial requirements • Coordinate systems design activities to ensure installation and operations will comply with specifications, codes, and client requirements • Prepare reports and studies that present technical information in a clear and concise manner, and meet client requirements and Sargent & Lundy formats • Perform and provide independent reviews of work performed by others, including scopes of work, proposals, procurement specifications, and contract documents