Engineering Manager

Engineering Manager @ Talview Who We Are Hiring is still stuck in the past. Manual screening. Unconscious bias. Candidates waiting weeks for feedback. Organizations drowning in admin work instead of discovering real talent.

We're fixing that with AI that actually works.

Talview builds Gen AI-powered solutions that make hiring and assessment faster, fairer, and scalable. We automate the busy work - interview scheduling, candidate screening, exam proctoring - so organizations can focus on what matters: finding great people.

Meet our AI team:

Alvy:
The world's first AI Proctoring Agent - intelligent exam monitoring that scales globally

Ivy:
Our conversational AI Interviewer delivering unbiased, high-quality first-round candidate assessments

The impact? 10M+ assessments delivered, across 120+ countries, trusted by leading global enterprises.

The Role We're looking for an Engineering Manager who thrives on leading high-performing engineering teams, solving complex architectural challenges, and driving product excellence at  this role, you'll guide engineers across backend, frontend, QA, and Dev Ops to build modern, cloud-native systems. You'll shape engineering culture, drive technical strategy, improve development processes, and ensure our systems are fast, reliable, secure, and scalable.

If you love empowering teams, influencing product outcomes, and blending hands-on technical depth with people leadership, this role is for you. What You'll Actually DoLead and grow a team of engineers → Backend, frontend, QA, and Dev Ops Own  architecture & system design → Design modern, cloud-native backend applications and distributed systems

Work across the stack → Jump into backend, frontend, or cloud components when needed

Champion engineering excellence → Drive code quality, reviews, automation, testing, and security best practices

Partner across functions → Collaborate with Product, Design, QA, and Leadership to ship impactful solutions

Improve engineering processes → Strengthen CI/CD, observability, logging, monitoring, and alerting

Own delivery → Manage sprint planning, execution, delivery timelines, team health, and performance

Mentor engineers → Conduct 1:1s, set goals, manage performance, and nurture a culture of growth

Evaluate new technologies → Provide direction on tools, frameworks, and architectural decisions

Ensure scalability & reliability → Optimize performance, stability, and cost-efficiency across cloud infrastructure You Might Be a Fit If…You have:6+ years of overall engineering experience across backend, frontend, or cloud technologies5+ years of strong backend development experience (Node.js, Go, Python, or similar)2+ years of experience working with Docker, Kubernetes, or public cloud platforms (AWS / GCP / Azure)2+ years working in Agile environments (Scrum, Squads, or Chapter models)1+ year leading a team of 4+ engineers

Strong understanding of cloud monitoring, logging, alerting, deployments, and cost optimization

Solid experience with unit testing, automation, observability, code quality, and security best practices

Bonus points for:

Experience building SaaS or high-scale distributed systems

Strong system design and architectural fundamentals

Ability to influence engineering culture, processes, and best practices

Excellent stakeholder communication and cross-functional leadership skills

Hands-on experience using AI-assisted coding tools like Cursor, Windsurf, Codex, etc.

Experience working in product-centric organizations with strong cross-functional collaboration What Makes This Role Different Lead high-impact engineering teams → Own delivery, performance, and growth of a squad building mission-critical hiring & proctoring systems used globally Architect scalable, cloud-native systems → Drive design using Node.js, Go, AWS, Kubernetes, microservices, and more Shape product outcomes-not just code → Partner deeply with Product, Design, QA, Dev Ops, and Leadership Mentor and grow top engineering talent → Coach developers, drive reviews, build a culture of excellence and ownership Drive engineering best practices → Observability, automation, testing, CI/CD, performance, cost optimization, and…