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About careerzynith
careerzynith is a global leader in automotive innovation, dedicated to shaping the future of mobility through data‑driven technology, sustainable design, and customer‑centric experiences. Our vision is a world with zero crashes, zero emissions, and zero congestion, and we empower every employee to contribute to that mission. With a heritage of engineering excellence and a forward‑thinking culture, careerzynith blends cutting‑edge software, advanced analytics, and cloud‑native platforms to deliver products that keep drivers safe, connected, and delighted.
Role Overview
This senior‑level, full‑stack software engineering position is based remotely, but candidates residing within a 50‑mile radius of one of our hubs in Atlanta, Austin, Detroit, Warren, or Mountain View are expected to report to the nearest office at least three days per week. You will join the Applied Analytics & Insights – Digital, Customer & Portfolio team, a high‑impact group that transforms raw data into actionable insights, enabling smarter vehicle portfolio planning and richer digital customer experiences across the careerzynith ecosystem.
Key Responsibilities
- Partner with analytics delivery, data science, and stakeholder teams in a matrixed environment to design, develop, and deploy applications that train, serve, and monitor machine‑learning models.
- Lead the end‑to‑end software architecture for both front‑end and back‑end components, ensuring alignment with careerzynith technology standards, security policies, and industry best practices.
- Implement rigorous software validation, automated testing, code review, documentation, and production monitoring processes to guarantee high‑quality, reliable, and supportable solutions.
- Collaborate with infrastructure, architecture, and operations teams on platform management, cloud migrations, and continuous improvement of our hybrid‑cloud environment.
- Provide on‑call support for critical production systems, troubleshooting incidents, and driving root‑cause analysis to prevent recurrence.
- Stay current with emerging technologies, including generative AI (GenAI), and proactively recommend tools or practices that boost team productivity and product performance.
- Foster a culture of continuous learning by mentoring junior engineers, organizing knowledge‑sharing sessions, and contributing to the broader software engineering community at careerzynith.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related discipline, or equivalent professional experience.
- At least 5 years of hands‑on experience delivering enterprise‑scale software products, with a strong emphasis on integrating machine‑learning models and Databricks workflows.
- Demonstrated ability to lead engineering projects, mentor early‑career developers, and collaborate effectively with data scientists, product managers, and non‑technical stakeholders.
- Advanced proficiency in modern front‑end frameworks (React, Angular, TypeScript, HTML/CSS) and back‑end languages (Node.js, Python, or Java).
- Deep understanding of hybrid‑cloud and cloud‑native architectures, including microservices, containerization, and security mechanisms using Azure services (Azure Key Vault, App Services, Azure Kubernetes Service) or comparable platforms.
- Experience building and maintaining CI/CD pipelines, automated builds, and deployment processes.
- Proven track record of collecting, quantifying, and communicating engineering quality and efficiency metrics.
- Solid experience working within Agile frameworks—backlog grooming, sprint planning, iterative delivery, and continuous improvement.
Preferred Qualifications & Additional Skills
- Familiarity with the full machine‑learning lifecycle, from data ingestion to model deployment and monitoring.
- Hands‑on experience with Databricks Delta Lake, MLflow, and Unity Catalog for data governance and model management.
- Proficiency with data‑visualization tools and libraries such as Power BI, D3.js, Plotly, or equivalent.
- Knowledge of serverless computing, event‑driven architectures, and API‑first design principles.
- Experience with performance tuning, observability (Prometheus, Grafana), and logging frameworks.
- Exposure to DevSecOps practices, including automated security scanning and compliance checks.
Core Competencies & Skills for Success
- Analytical Mindset: Ability to translate complex business problems into scalable technical solutions.
- Collaboration: Strong communication skills to work across multidisciplinary teams and convey technical concepts to non‑technical audiences.
- Problem‑Solving: Proactive approach to identifying bottlenecks, debugging issues, and delivering robust fixes.
- Adaptability: Comfort with fast‑paced environments, shifting priorities, and evolving technology stacks.
- Leadership: Mentorship, code‑review stewardship, and the ability to inspire peers toward engineering excellence.
- Customer Focus: Commitment to delivering products that enhance the digital experience for careerzynith’s global customer base.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is shaped by your ambition and the impact you create. Senior engineers are encouraged to take on technical leadership roles, spearhead cross‑functional initiatives, and influence product strategy. We provide access to a robust learning ecosystem—including tuition assistance, internal tech talks, conference sponsorships, and a dedicated mentorship program—to help you deepen expertise in AI/ML, cloud architecture, and emerging front‑end technologies. High‑performing contributors can progress to Principal Engineer, Architecture Lead, or Product Management pathways, depending on their interests.
Work Environment & Culture at careerzynith
Our culture blends the rigor of a world‑class engineering organization with the agility of a modern tech company. careerzynith champions an inclusive environment where diverse perspectives are celebrated, and every employee feels a sense of belonging. Remote work flexibility, collaborative virtual spaces, and regular in‑person team gatherings foster strong relationships. We prioritize work‑life balance, encourage innovative thinking, and celebrate successes—big and small—through recognition programs, hackathons, and community outreach initiatives.
Compensation, Benefits & Perks
- Base Salary Range: $130,800 – $211,200 USD, commensurate with experience, expertise, and market factors.
- Bonus Potential: Performance‑based incentive program tied to individual, team, and careerzynith corporate results.
- Health & Wellness: Comprehensive medical, dental, vision coverage, Health Savings Account (HSA), and Flexible Spending Accounts (FSA).
- Retirement & Financial Security: 401(k) plan with company match, employee stock purchase options, and financial counseling services.
- Paid Time Off: Generous vacation, holidays, and sick leave policies to support rest and rejuvenation.
- Learning & Development: Tuition reimbursement, certification funding, internal learning portals, and access to industry conferences.
- Work‑From‑Home & Office Flexibility: Remote‑first model with optional office attendance for collaboration and team building.
- Additional Perks: Employee assistance program, wellness challenges, on‑site fitness facilities (where available), and exclusive careerzynith product discounts.
Immigration & Relocation
careerzynith does not provide relocation assistance for this role; any relocation costs are the responsibility of the selected candidate. Additionally, careerzynith does not sponsor immigration‑related work authorizations (e.g., H‑1B, OPT, STEM OPT, CPT, TN, J‑1). Candidates requiring sponsorship should not apply.
Commitment to Diversity, Equity & Inclusion
careerzynith is an equal‑opportunity employer. We are committed to building a workplace free from unlawful discrimination and to fostering an environment where all employees can thrive. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We actively support candidates with disabilities and provide reasonable accommodations throughout the recruitment process.
Application Process & Next Steps
If you are passionate about leveraging analytics to shape the future of digital automotive experiences, we invite you to submit your application. Qualified candidates will undergo a role‑related assessment and a pre‑employment screening. To learn more about our hiring philosophy, visit the How We Hire page on the careerzynith career site. We look forward to reviewing your resume, discussing how your expertise aligns with our mission, and welcoming you to the careerzynith family.
Join careerzynith Today
Take the next step in your engineering career by contributing to groundbreaking analytics solutions that drive real‑world impact. Apply now and become part of a team that is redefining mobility, championing sustainability, and delivering exceptional digital experiences to millions of customers worldwide.
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