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Aurora Networks is the world's leading provider of access network solutions. Our comprehensive, end-to-end product portfolio supports global service providers with innovative, leading-edge HFC, PON and broadband network products.

The Access Technology RF Design Engineering group in Aurora Networks is responsible for design and development of Hybrid-Fiber-Coax (HFC) and RF products for the support of CATV and Data services.

The group consists of hardware engineers and technicians developing RF and optical signal distribution products.

How You'll Help us connect the world:

Are you passionate about technology and hands-on problem-solving? We're looking for a detail-oriented Electronics Lab Technician who thrives in a collaborative environment and loves working with cutting-edge tools. In this role, you'll play a key part in building, testing, and troubleshooting advanced electronic systems that power our next-generation solutions.

Responsibilities:

Bring schematics and assembly drawings to life by assisting in circuit troubleshooting and repair.

Perform precision soldering and rework on Printed Circuit Boards (PCBs) and components.

Operate industry-standard test equipment, including Spectrum and Network Analyzers, Oscilloscopes, Optical Analyzers, power meters, bench power supplies, and multimeters.

Execute testing procedures and deliver clear, accurate reports.

Collaborate with engineers and teammates to solve challenges and drive innovation.

Follow established processes while contributing ideas to improve efficiency and quality.

Required Qualifications:

High School Diploma from a technical program; an Associate's degree or technical certification is a plus.

Familiarity with Microsoft Office tools (Word, Excel, PowerPoint).

Strong communication skills—both written and verbal.

Ability to adapt quickly, stay organized, and meet deadlines under pressure.

A team player with a positive attitude and a passion for learning.

#LI-RB1

#LI-CT ONSITE

Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with ,execeptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $70,600.00- $86,500.00.

The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company's Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options.

Important Candidate Notice: On January 9, 2026, CommScope finalized the sale of its Connectivity and Cable Solutions segment, which included the CommScope name and brand, to Amphenol Corporation. The remaining businesses — Access Networks Solutions (now rebranded as Aurora Networks) and RUCKUS Networks have been unified under the new parent company, renamed as Vistance Networks. The role being advertised is part of Aurora Networks.

Why Join Us?

Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value.

Aurora Networks (formerly CommScope's Access Networks Solution segment) is the world's leading provider of access network solutions. Our comprehensive, end-to-end product portfolio supports global service providers with innovative, leading-edge HFC, PON and broadband network products.

If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next.....come connect to your future at Vistance Networks.

Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans.

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

QASource is a leading provider of outsourced software quality engineering services, specializing in scalable and customizable QA solutions for clients worldwide. With over 24 years of experience across diverse industries, we combine advanced AI technologies with traditional testing methodologies to enhance software quality, efficiency, and innovation. Our dedicated engineers integrate seamlessly into client workflows, providing tailored solutions that align with specific project needs. We prioritize continuous improvement, effective communication, and a culture of respect and inclusion, ensuring top-notch service to our valued clients.

We are seeking a high-performing Sales Executive to lead new client acquisition across mid-

market and enterprise software companies. This is a quota-carrying role focused on

identifying and closing new logo opportunities within engineering organizations that build

and maintain complex software applications.

This role benefits from QASource’s strong marketing engine that consistently delivers

inbound and nurtured leads. You’ll be responsible for engaging and progressing these

opportunities as well as generating your own pipeline through outbound efforts.

Responsibilities:

• Identify, qualify, and close new logo opportunities within software product companies, with a focus on engineering and QA leadership.
• Engage both inbound leads generated by marketing and self-sourced opportunities through targeted outreach.
• Understand common QA challenges (e.g., test coverage, scalability, automation limits, technical debt) and map them to QASource’s service offerings.
• Conduct discovery, coordinate with technical pre-sales for solution design, and drive deals through the full sales cycle.

Required Qualifications:

• 3–7 years of quota-carrying experience in B2B sales, preferably in IT services or consulting.
• Track record of closing new logo deals in a multi-stakeholder sales cycle.
• Strong understanding of the software development lifecycle and QA processes (Agile, DevOps, CI/CD).
• Understanding of AI/LLM use cases in software lifecycle.
• Proven ability to align technical services with business outcomes.
• Comfortable engaging with technical and executive decision-makers.
• Familiarity with sales tools (HubSpot, LinkedIn Sales Navigator, etc.).

Preferred Qualifications:

• Specific knowledge of software QA services—including manual testing, test automation, API testing, and performance/security testing—is a strong plus.
• Prior experience working with or selling to software engineering or product teams.
• Industry familiarity in SaaS, health tech, fintech, or eCommerce.

Salary Range:

• $95,000 - $120,000 per annum (+Variable).

Perks:

• Health, vision, and dental benefits.
• 401(k) with company match.
• Paid time off and holidays.
• Wellness programs and professional development opportunities.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director, Quality Engineering. In this role, you’ll be a strategic and hands-on leader who will drive the transformation of quality across our technology organization. This leader will be responsible for building and scaling a modern Quality Engineering function that goes beyond traditional QA, with ownership spanning QA environments, test automation, AI-enabled quality practices, quality governance, best practices, and the establishment of a Quality Engineering Center of Excellence (COE).

The ideal candidate will bring a strong blend of leadership, technical depth, operating model design, and change management, with the ability to embed quality throughout the software development lifecycle. This role will partner closely with Engineering, Product, Architecture, Infrastructure, Security, and Delivery teams to create a scalable, efficient, and forward-looking quality strategy that supports speed, reliability, and business growth.

Key Responsibilities

Quality Engineering Strategy & Leadership

• Define and lead the enterprise Quality Engineering vision, strategy, and roadmap aligned to Valvoline’s broader technology and business priorities.
• Shift the organization from traditional testing approaches to a modern quality engineering model focused on prevention, automation, continuous validation, and measurable quality outcomes.
• Establish quality as a shared responsibility across product, engineering, and delivery teams while maintaining strong governance and standards.
• Lead, mentor, and grow a high-performing team of quality engineers, automation engineers, and QA leaders.

QA Center of Excellence (COE)

• Build and operationalize a Quality Engineering Center of Excellence (COE) to define frameworks, standards, tooling, reusable assets, and governance processes.
• Create enterprise-wide best practices for test design, automation, environment strategy, defect management, release readiness, and quality metrics.
• Standardize quality processes across portfolios while allowing for flexibility based on product and platform needs.
• Develop playbooks, templates, training, and maturity models to improve quality capability across teams.

Automation & Tooling

• Define and execute an enterprise test automation strategy across UI, API, integration, data, regression, performance, and end-to-end testing.
• Drive adoption of scalable automation frameworks and ensure integration with CI/CD pipelines and DevOps practices.
• Evaluate, select, and optimize quality tools and platforms to improve speed, coverage, traceability, and reporting.
• Increase automation efficiency and effectiveness by implementing reusable components, common libraries, and engineering best practices.

AI-Enabled Quality Engineering

• Lead the adoption of AI and intelligent automation within quality engineering, including opportunities such as:

test case generation

intelligent defect triage

predictive risk analysis

self-healing automation

release quality insights

test optimization and prioritization

• Assess emerging AI capabilities and define practical use cases that improve quality outcomes, team productivity, and speed to market.
• Partner with engineering and architecture leaders to ensure AI solutions are implemented responsibly, securely, and at scale.

QA Environments & Test Data Management

• Own the strategy for QA environments, including environment planning, availability, stability, governance, and optimization.
• Partner with infrastructure and platform teams to improve environment readiness, reduce bottlenecks, and support parallel delivery.
• Establish strong processes for test data management, environment provisioning, and integration dependency coordination.
• Drive improvements in environment monitoring and readiness reporting to reduce delays and improve release confidence.

Governance, Metrics & Best Practices

• Define and implement quality KPIs, SLAs, dashboards, and scorecards to provide visibility into quality performance, automation maturity, defect trends, release risk, and environment health.
• Set standards for quality gates, entry/exit criteria, defect leakage reduction, root cause analysis, and continuous improvement.
• Build a culture of measurable quality and operational discipline through governance routines, audits, and executive reporting.
• Ensure best practices are embedded into agile delivery, DevSecOps, and release management processes.

Sourcing & Vendor Management

• Define the sourcing strategy for quality engineering capabilities, including the right balance of internal talent, strategic partners, and offshore/onshore vendor models.
• Lead vendor evaluation, selection, governance, and performance management related to quality engineering and testing services.
• Optimize spend, capability, and service quality across external partners while ensuring alignment to Valvoline standards and delivery expectations.
• Build workforce strategies that support both immediate delivery needs and long-term capability development.

Cross-Functional Partnership

• Partner with Product, Engineering, Infrastructure, Security, Architecture, and PMO leaders to embed quality into planning, design, development, and release processes.
• Influence senior stakeholders on quality investments, transformation priorities, and operating model improvements.
• Support mission-critical initiatives by ensuring strong quality planning, risk management, and execution.

What You’ll Need to Succeed

Qualifications

• 10+ years in software quality engineering
• 5+ years leading enterprise QA teams
• Experience in high-volume retail, omnichannel, or consumer-facing environments strongly preferred
• Deep experience with:

Automation frameworks (Selenium, Cypress, Playwright, etc.)

API testing tools

CI/CD tools

Performance testing tools (JMeter, LoadRunner, etc.)

• Experience leading QA in Agile/SAFe or hybrid environments
• Experience using agentic tools for test development and integrating work with agentic code development (ie: Github Copilot, Claude code)
• Proven track record reducing defect escape rates

Leadership Competencies

• Enterprise systems thinker
• Data-driven decision maker
• Builder of scalable processes
• Collaborative but boundary-setting partner
• Comfortable operating in fast-paced retail cycles
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Location: Remote: Reside close to (Exton, PA)

Portfolio: Allen‑Sherman‑Hoff (ASH) Engineered Material‑Handling Systems (ANDRITZ)

About the Role

Allen‑Sherman‑Hoff (ASH), an ANDRITZ business, delivers engineered material‑handling systems that support power generation, biomass, and pulp & paper facilities operating in demanding, continuous‑run environments. Although ASH is technically an OEM, we operate far more like an A&E/EPC engineering firm: we deliver system‑level engineered solutions, integrating ASH proprietary equipment with structural, mechanical, electrical, and quality requirements to meet strict performance expectations.

We are seeking a Project Manager with power, energy, utilities, or EPC/A&E engineered‑systems project experience, someone who has led large, customer‑facing technical projects through engineering, fabrication, manufacturing, quality, and site support.

If your background is in internal manufacturing operations, IT/telecom deployments, or continuous improvement, this role is not a match. We need a PM who understands industrial plant environments, engineered equipment, and the rigor of technical project delivery.

What You Will Do

Lead Full Lifecycle Execution (Sales Handover → Final Turnover)

• Own the delivery of engineered ASH material‑handling systems across power, biomass, and pulp & paper facilities.
• Drive engineering, drafting, and calculation packages to meet scope, schedule, and contractual requirements.
• Coordinate and unblock fabrication/manufacturing, ensuring manufacturability and compliance.
• Manage supplier RFQs, subcontractor performance, expediting, and logistics.

Quality & Technical Documentation Leadership

• Manage ITPs, weld maps, NDE requirements, pressure tests, dimensional checks, and documentation packages essential to engineered‑equipment delivery.
• Validate compliance to ASME/AWS, customer specifications, and ASH quality standards.

Schedule, Cost, and Risk Management

• Maintain schedule baselines using Primavera P6.
• Oversee cost performance, margin drivers, change control, and contract compliance.
• Identify and mitigate technical and execution risks early.

Customer‑Facing Project Leadership

• Serve as the primary interface between the customer and ANDRITZ technical teams.
• Prepare and deliver technical and commercial progress reports.
• Support site activities (FAT, readiness reviews, installation coordination, commissioning support).

What You Bring

Required

• Experience in A&E/EPC, power generation, utilities, or industrial engineered‑systems delivery.
• (Examples: material handling, conveying systems, rotating equipment, mechanical process systems, boiler/balance‑of‑plant equipment).
• Proven ability to lead engineering‑heavy, customer‑facing projects with strict contractual and QA requirements.
• Hands‑on coordination with engineering, fabrication, manufacturing, quality, suppliers, and field service.
• Experience managing ITPs, weld maps, NDE, pressure tests, QA documentation, and technical turnover packages.
• Proficiency in Primavera P6 and Oracle or similar ERP.
• Bachelor’s degree in Engineering/Construction Management OR 5+ years of relevant engineered‑systems PM experience.

Preferred

• Power plant, utilities, biomass, or pulp & paper industry experience.
• Background in ash handling, bulk material handling, or mechanical systems integration.
• PMP or CAPM certification.
• Experience with retrofit, outage, upgrade, or brownfield scopes.

Work Model

• Remote with periodic travel to Exton, PA, fabrication shops, and customer facilities for inspections, FATs, readiness reviews, and site support.
• Travel expected but varies by project phase.

Why This Role Matters

Your work directly affects the reliability, uptime, and environmental performance of major industrial facilities. When you execute well, a power plant runs cleaner, a pulp mill avoids downtime, and a customer sees ASH as a trusted engineering partner. This is real engineering impact, not back‑office project tracking.

*All qualified applicants will receive consideration without regard to protected characteristics.

Role: Engine Production Engineer

Location: Middletown, Connecticut Onsite (no remote no hybrid)

Term: Contract

• Working alongside a large engine manufacturer customer team performing engine production engineering tasks:
• Coordinate engine production engineering actions between the technicians and client IPT/Engineering groups.
• Support designing, implementing, and optimizing manufacturing processes, systems, and tools to ensure high-quality, cost-effective, and efficient production.
• Communicate technical issues to IPT/Engineering groups and work with cross-functional teams to support finding solutions.
• Collect and report engine production status to IPT/Engineering groups.
• Strong analytical, creative problem-solving capabilities
• Experience in technical management of engine parts, repair, engine test, engine assembly and disassembly
• Familiar with engine work instructions, part/assembly drawings and materials lists
• Variable shift work sometimes required.
• BS in Engineering or Associate’s degree with relevant work experience
• Experience in process development and optimizing in a manufacturing environment
• 2+ years relevant experience

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

We’re hiring an Engineering Team Manager in Plymouth for a confidential precision manufacturing organization. This is an engineering leadership role overseeing a team of technical professionals responsible for design-for-manufacturability (DFM), technical quoting, and customer application support within a highly regulated, build-to-print manufacturing environment. The ideal candidate is an experienced engineering manager with a background in precision manufacturing who can develop technical teams while ensuring strong cross-functional collaboration between engineering, manufacturing,supply chain,and commercial teams.

Key Responsibilities:

• Lead and support the team of seven technical professionals in achieving sales and profitability goals
• Be the key point of contact between customers, sales, engineering, and manufacturing for escalated customer calls and potential customer visits
• Collaborate with customers and internal engineering teams to optimize product design for manufacturability and performance within the company’s capabilities.
• Oversee the development and refinement of technical quoting models and supply chain strategies to improve accuracy and responsiveness.
• Ensure that high-value opportunities are properly scoped, resourced, and communicated across departments.
• Support the engineering) and commercial teams, with occasional participation in customer calls, site visits, and technical escalations
• Provide detailed technical and program-level updates to senior leadership as needed.

Required Qualifications:

• Bachelor of Science in Engineering (Mechanical, Manufacturing, or related field)
• 5+ years of relevant technical experience in engineering or adjacent
• 2+ years of management experience in engineering or adjacent

Preferred Qualifications:

• Experience in precision manufacturing or high-volume production environments.
• Background in cross-functional collaboration between sales, engineering, and manufacturing.

Additional Information:

• Full-time, salaried position. Base starts at $109,000, with final compensation based on experience, skills, and internal equity.
• Occasional travel may be required.

Why You’ll Love This Role:

This is a unique opportunity to lead and strengthen an Applications Engineering team within a precision manufacturing environment supporting complex, high-reliability components for regulated industries. If you are an engineering leader with experience in DFM, technical program support, and cross-functional manufacturing collaboration, and you’re ready to make a measurable impact in Plymouth, MA, we encourage you to apply for the Engineering Team Manager role today.

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• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

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• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

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• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays