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ResilincRE

Engineering Manager

Resilinc is a leading provider of AI-driven supply chain risk management solutions, helping organizations enhance resilience and mitigate risks.

Resilinc

Employee count: 201-500

India only
Join the Future of Supply Chain Intelligence — Powered by Agentic AI
At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care.
But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.
Resilinc | Innovation with Purpose. Intelligence with Impact.

About The Role

As an Engineering Manager, you'll lead a high-performing engineering team building the next generation of our AI-powered data platform. You'll drive technical excellence while scaling our engineering organization to support rapid growth. You'll balance hands-on technical leadership with people management, ensuring your team delivers scalable, resilient systems that power AI agents and critical supply chain intelligence for global enterprises.
This is your opportunity to shape both the technical direction and engineering culture at the intersection of AI, enterprise SaaS, and supply chain innovation.

What You'll Do

  • Lead High-Performance Teams: Manage and grow a team of 6-10 engineers across full-stack, backend, and data engineering disciplines, fostering career development and technical excellence.
  • Drive Product Delivery: Partner closely with product managers and architects to translate business requirements into scalable technical solutions, ensuring on-time delivery of critical platform features.
  • Scale Engineering Practices: Establish and evolve engineering processes, code review standards, testing frameworks, and CI/CD pipelines that support rapid, reliable deployment cycles.
  • Champion Technical Excellence: Collaborate with architects to implement best practices for cloud-native, AI-enabled systems while maintaining hands-on involvement in critical technical decisions.
  • Build for AI at Scale: Guide your team in developing systems that integrate machine learning models, support massive data ingestion, and enable real-time intelligence across global supply chains.
  • Ensure System Reliability: Drive initiatives focused on observability, performance optimization, and enterprise-grade reliability as we scale across international markets.
  • Recruit and Retain Talent: Lead hiring efforts to build a diverse, world-class engineering team while creating an environment where engineers thrive and grow.
  • Foster Cross-Team Collaboration: Work closely with data science, product, and customer success teams to ensure seamless integration and delivery of customer value.

What You Bring

  • Engineering Leadership Experience: 12+ years of software engineering experience with 5+ years in engineering management, preferably in SaaS or enterprise software environments.
  • Technical Depth: Strong hands-on experience with modern tech stack including Java/Python, cloud platforms (preferably Azure), microservices architecture, and data engineering pipelines.
  • AI/ML Platform Experience: Experience managing teams building AI-enabled products or data platforms. Understanding of ML model integration, agent frameworks, and large-scale data processing.
  • Enterprise Software Expertise: Knowledge of building compliant, secure, multi-tenant systems that serve enterprise customers at scale.
  • People Leadership: Proven track record of building, mentoring, and scaling engineering teams. Experience with performance management, career development, and creating inclusive team environments.
  • Product Mindset: Strong collaboration skills with product managers and designers, with experience translating business requirements into technical solutions.
  • Process Excellence: Experience implementing agile methodologies, establishing engineering best practices, and driving continuous improvement in team productivity.
  • Growth Mindset: Comfort operating in a fast-paced, hypergrowth environment with the ability to adapt quickly to changing priorities and scale challenges.
  • Communication Skills: Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

  • Background in supply chain, logistics, or enterprise risk management domains
  • Experience with compliance frameworks (SOC 2, ISO 27001, GDPR)
  • Experience with container orchestration (Kubernetes) and event-driven architectures

Why Join Us?

  • Leadership Impact: Shape the engineering culture and technical direction of a platform transforming global supply chains
  • Hypergrowth Opportunity: Lead teams in one of the fastest-growing enterprise AI categories with significant career advancement potential
  • Cutting-Edge Technology: Work with the latest in AI, machine learning, cloud-native architectures, and enterprise data platforms
  • Team Building: Opportunity to recruit, develop, and lead world-class engineering talent in a collaborative, innovation-driven environment
  • Global Reach: Your team's work directly impacts supply chain resilience for Fortune 500 companies worldwide
  • Flexible Culture: Fully remote work environment with a focus on results
  • Ready to lead the future of supply chain intelligence? Join us in building the AI platform that keeps the global economy resilient.

What's in it for you?

At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits for health, wealth and wellbeing to keep you thriving. Hit up your talent acquisition contact for a location-specific FAQ.
Curious to know more about us? Dive in at www.resilinc.ai
If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com.
   

About the job

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Job type

Full Time

Experience level

Manager

Location requirements

Hiring timezones

India +/- 0 hours

About Resilinc

Learn more about Resilinc and their company culture.

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Resilinc is an AI-driven supply chain risk management company founded in 2010. With a focus on providing organizations with the tools to build resilient supply chains, Resilinc has become the gold standard for supply chain monitoring and resiliency. The company has developed a platform that enables businesses to gain deep visibility into their supply chains by mapping over 1 million suppliers and their corresponding sites. This extensive mapping allows them to identify potential vulnerabilities and locations impacted by various disruptions.

By utilizing a wealth of data from global news feeds, industry insights, and predictive analytics, Resilinc empowers its clients to transition from a reactive approach to a more proactive stance in managing supply chain risks. The solutions offered by Resilinc encompass aspects such as multi-tier mapping, risk assessments, and AI-powered monitoring systems, ensuring organizations are equipped to mitigate risks and maintain operational integrity throughout their supply chain lifecycle.

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Resilinc hiring Engineering Manager • Remote (Work from Home) | Himalayas