Head of Engineering

1 day ago


Hyderabad, Telangana, India ALPHA Augmented Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

ALPHA Augmented
is a Swiss startup using
AI
and
advanced optimization algorithms
to transform logistics. Our solutions help
Fortune 500 companies
cut logistics costs by
over 20%
while reducing
CO₂ emissions
through smarter packing and freight utilization. Join a
mission-driven team
where innovation meets impact, transforming global supply chains for a sustainable future.

Role Summary

As
Head of Engineering
, you lead
ALPHA Augmented's engineering organization
, driving the development of our
AI-driven logistics platform
. In close partnership with the
CEO and COO
, you translate business and customer requirements into a focused technology roadmap, oversee architecture and infrastructure, and scale a high-performing engineering team. You are accountable for the company's
technology strategy, reliability, security, and cost efficiency
, as well as for fostering an engineering culture that delivers measurable business impact.

This is a
unique opportunity
to lead a proven technology organization that already serves live enterprise customers and to
elevate our platform, processes, and engineering practices
to enterprise-grade quality and reliability. Your mandate is to
sharpen focus, accelerate delivery, and grow people
while strengthening ALPHA's IP and data assets.

Your Responsibilities

  • Develop and implement
    ALPHA's technology and data strategies in line with company goals.
  • Translate
    business and customer needs into an outcome-driven technology roadmap.
  • Own
    system architecture and cloud infrastructure; select the tech stack, make build-vs-buy decisions, and manage vendors.
  • Define and uphold
    engineering standards for code quality, testing, CI/CD, observability, security, and documentation.
  • Ensure
    platform reliability, scalability, and performance through monitoring, incident reviews, and continuous improvement.
  • Lead, coach, and retain
    a high-performing engineering organization that operates with clarity, accountability, and continuous improvement.
  • Manage
    the full recruitment pipeline for engineering roles, from sourcing to onboarding.
  • Collaborate
    with Operations and Commercial teams to align priorities, delivery timelines, and business outcomes.
  • Engage
    with key customers on integrations, performance, and security topics to inform technical direction.
  • Oversee
    budgets and drive cost-efficient architectural and operational decisions.
  • Plan and manage
    system changes and upgrades to minimize disruption and technical risk.
  • Maintain
    a strong security posture and ensure compliance with internal and customer requirements.

Your Qualifications

  • 8+ years
    of experience in software, data, or platform engineering, including several years in a senior leadership role.
  • Proven ability to
    define and execute technology strategy
    that supports measurable business outcomes.
  • Strong
    architectural judgment
    across modern web platforms, APIs, data systems, and cloud infrastructure (preferably Azure).
  • Experience leading
    cross-functional engineering teams
    across backend, frontend, data, and algorithms.
  • Deep understanding of
    security, networking, and compliance
    in cloud environments, including identity, secrets, network boundaries, and SDLC controls.
  • Track record of
    improving delivery performance
    through strong process design, documentation, and clear technical standards.
  • Demonstrated success
    hiring, developing, and retaining
    high-performing engineers and technical leads.
  • Experience managing
    budgets, vendor relationships, and cost optimization
    without compromising quality.
  • Hands-on familiarity with
    modern development practices
    (CI/CD, observability, IaC) and a pragmatic approach to technical debt.
  • Excellent
    communication skills
    ; able to translate between business, logistics, and technical domains.

Nice to Have

  • Background in
    logistics, optimization, operations research, or machine learning
    .
  • Experience with
    data governance, MDM, and analytics platforms
    for enterprise customers.

How You'll Work

  • Remote-first, CET-aligned.
    Collaboration hours optimized for deep work and team overlap.
  • Startup pace.
    Intensity varies by phase; we communicate clearly and solve problems together.


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