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About talentbridge
At talentbridge, we’re redefining the future of automotive technology by turning data into action. Our mission is to create safer, smarter, and more sustainable mobility solutions that empower drivers, fleet operators, and communities worldwide. With a culture rooted in innovation, collaboration, and continuous learning, talentbridge is at the forefront of the digital transformation that is reshaping the automotive industry.
Why This Role Matters
As a Senior Full‑Stack Software Engineer in our Applied Analytics & Insights team, you will be the bridge between data science, product strategy, and engineering excellence. Your work will directly influence how customers interact with talentbridge’s digital platforms, how we plan vehicle portfolios, and how we deliver insights that drive business decisions. In a world where data is the new oil, your expertise will help us extract maximum value from every byte.
Remote Work & Office Presence
We embrace a flexible, hybrid work model. This position is fully remote, but if you live within a 50‑mile radius of any talentbridge office—Atlanta, Austin, Detroit, Warren, or Mountain View—you are expected to report to that location at least three times a week. This hybrid cadence ensures that you stay connected with teammates, participate in face‑to‑face collaboration, and immerse yourself in talentbridge’s vibrant culture.
Role Overview
We are seeking a seasoned, full‑stack engineer who thrives in a fast‑paced, data‑centric environment. You will partner with product owners, data scientists, and cross‑functional teams to design, develop, and deploy analytics applications that enhance customer experience and support strategic portfolio planning. Your initial focus will be on vehicle portfolio planning use cases, but you will quickly expand to other high‑impact projects across the organization.
Key Responsibilities
- End‑to‑End Solution Delivery: Collaborate with analytics delivery, data science, and stakeholder teams to build applications that train, serve, and monitor machine‑learning models.
- Architectural Leadership: Own front‑end and back‑end architecture, ensuring alignment with talentbridge technology standards, security best practices, and scalability goals.
- Quality & Reliability: Implement rigorous software validation, automated testing, code reviews, documentation, and production monitoring to guarantee high quality and user satisfaction.
- Platform & Migration Support: Work closely with infrastructure, architecture, and operations teams on platform management, technology migrations, and cloud‑native deployments.
- On‑Call & Incident Management: Provide on‑call support as needed, participating in incident response and post‑mortem analysis to continuously improve system resilience.
- Innovation & Productivity: Stay abreast of emerging trends—especially generative AI—and proactively identify opportunities to enhance productivity, automate workflows, and improve user experience.
- Mentorship & Knowledge Sharing: Champion continuous learning by mentoring junior engineers, leading technical workshops, and fostering a culture of knowledge exchange within the team and the broader talentbridge community.
Essential Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent professional experience).
- Minimum 5 years of hands‑on experience delivering enterprise‑scale software products, with a strong emphasis on integrating machine‑learning models and data‑engineering workflows.
- Proven track record of leading engineering projects, mentoring early‑career developers, and collaborating effectively with data scientists, product managers, and non‑technical stakeholders.
- Advanced proficiency in front‑end technologies (React, Angular, TypeScript, HTML/CSS) and back‑end languages (Node.js, Python, or Java).
- Deep understanding of hybrid‑cloud and cloud‑native architecture, microservices, containerization, and security—including Azure, Azure Key Vault, App Services, Azure Kubernetes Service, or equivalent platforms.
- Hands‑on experience with CI/CD pipelines, automated builds, deployments, and pipeline development.
- Strong analytical mindset with the ability to collect, quantify, and communicate engineering quality and efficiency metrics.
- Experience with Agile methodologies—backlog grooming, sprint planning, iterative delivery, and continuous improvement.
Preferred Qualifications
- Familiarity with data‑science use cases and the full machine‑learning development lifecycle.
- Experience with Databricks Delta Lake, MLflow, Unity Catalog, or similar data‑engineering platforms.
- Proficiency in data visualization tools and libraries such as Power BI, D3.js, Plotly, or equivalent.
- Knowledge of generative AI frameworks and their application in analytics pipelines.
- Experience with multi‑cloud environments and cross‑region deployments.
Core Skills & Competencies
- Full‑stack development expertise with a focus on scalable, secure, and maintainable code.
- Strong problem‑solving skills and a data‑driven approach to decision making.
- Excellent communication—both written and verbal—enabling clear articulation of technical concepts to diverse audiences.
- Adaptability and resilience in a dynamic, fast‑moving environment.
- Commitment to ethical AI practices and responsible data usage.
- Team‑first mindset, fostering collaboration across functional boundaries.
Career Growth & Learning Opportunities
At talentbridge, your professional development is a priority. You will have access to:
- Mentorship from senior leaders and seasoned engineers.
- Regular technical workshops, hackathons, and knowledge‑sharing sessions.
- Opportunities to lead high‑impact projects and shape product strategy.
- Access to cutting‑edge tools, cloud platforms, and AI research labs.
- Clear career pathways—from Senior Engineer to Principal Engineer, Technical Lead, or Product Owner roles.
Work Environment & Culture
Our culture is built on trust, transparency, and a shared commitment to excellence. You’ll find:
- A collaborative, inclusive environment where diverse perspectives are valued.
- Flexible work arrangements that respect work‑life balance.
- Regular cross‑functional team events, both virtual and in‑person.
- Recognition programs that celebrate innovation, teamwork, and impact.
- A focus on sustainability—both in our products and in our workplace practices.
Compensation & Benefits
We offer a competitive total rewards package designed to attract, motivate, and retain top talent.
- Base Salary: $130,800 – $211,200 (depending on experience, location, and role level).
- Bonus Potential: Performance‑based incentive program aligned with talentbridge goals and individual contributions.
- Health & Wellness: Comprehensive medical, dental, vision, and mental‑health coverage.
- Financial Security: 401(k) with company match, retirement savings plan, and life insurance.
- Time Off & Holidays: Generous paid vacation, sick leave, and company holidays.
- Learning & Development: Tuition assistance, conference sponsorships, and access to online learning platforms.
- Employee Perks: Flexible spending accounts, health savings account, wellness stipend, and more.
- Work‑From‑Home Allowance: Home office setup stipend and remote‑work support.
Relocation & Sponsorship
This role is not eligible for relocation benefits; any relocation costs are the responsibility of the selected candidate. talentbridge does not provide immigration‑related sponsorship for this position. Candidates requiring sponsorship should not apply.
How to Apply
Ready to join talentbridge and shape the future of automotive analytics? Submit your application through our career portal or click the link below. We look forward to learning how your expertise can drive innovation and impact at talentbridge.
Closing Statement
At talentbridge, we believe that technology is most powerful when it serves people. If you are passionate about building data‑driven solutions that transform customer experiences and drive strategic decisions, we want to hear from you. Join us, and together we’ll accelerate the journey toward safer, smarter, and more sustainable mobility.