ENGINEERING MANAGER

TechnoIogy@IA

Bengaluru

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Best-in-class remuneration
Opportunity for personal and professional growth
Collegial work culture

Job summary

TechnoIogy@IA is seeking an experienced Engineering Manager in Bengaluru to lead teams in building scalable cloud-native analytics platforms. This pivotal role requires strong technical leadership, particularly in Python-based systems and team management, ensuring platform reliability and performance for global retail customers. Candidates should have significant experience in software engineering, with expertise in Python and related technologies, and be comfortable in Agile environments. The role offers significant growth opportunities and competitive compensation.

Qualifications

  • 14–17 years of engineering experience with team leadership.
  • Hands-on expertise in Python, Java, C++, and PostgreSQL.
  • Excellent SQL skills for query optimization.

Responsibilities

  • Lead and grow a team delivering Python-based analytics platforms.
  • Own delivery of multi-service projects focused on scalability.
  • Drive architectural decisions aligned with platform requirements.

Skills

Python
Java
C++
PostgreSQL
SQL
Agile/Scrum

Job description

Role Overview

Impact Analytics is looking for an experienced Engineering Manager to lead teams building scalable, cloud‑native analytics platforms used by global retail customers. This role blends strong technical leadership in Python‑based systems, people management, and ownership of platform reliability, observability, and performance for mission‑critical SaaS products. You will work closely with Product, Data Science, Architecture, and Customer Success teams to deliver high‑quality solutions that power retail decision intelligence.

Key Responsibilities
  • Lead and grow a team of software engineers delivering Python‑based analytics and SaaS platforms
  • Own delivery of complex, multi‑service projects with a focus on scalability, reliability, and performance
  • Provide hands‑on technical leadership in Python/Java/C++, PostgreSQL, and SQL‑heavy systems
  • Drive architectural decisions aligned with Impact Analytics’ data‑intensive and API‑driven platforms
  • Establish and mature observability, monitoring, alerting, and APM practices across services
  • Ensure high availability and performance of customer‑facing systems in production
  • Collaborate with DevOps teams on cloud infrastructure, CI/CD, and release readiness
  • Partner with Product Management and Data Science teams to translate retail business problems into robust engineering solutions
  • Lead Agile execution including sprint planning, backlog grooming, retrospectives, and delivery tracking
  • Act as a coach and mentor—supporting hiring, onboarding, performance management, and career growth
  • Communicate technical and delivery status effectively to senior leadership and cross‑functional stakeholders
Mandatory Skills & Experience
  • 14–17 years of overall software engineering experience, including leading engineering teams
  • Strong hands‑on expertise in Python/Java/C++ and PostgreSQL
  • Excellent SQL skills, including query optimization and handling large datasets
  • Proven experience managing and delivering Python‑based products or platforms
  • Hands‑on experience with cloud platforms (experience on GCP is a strong plus)
  • Deep knowledge of observability and application performance management, including:
    • Metrics, logs, and distributed tracing
    • Root‑cause analysis and performance tuning
  • Strong experience working in Agile/Scrum development environments
  • Excellent verbal and written communication skills
  • Ability to clearly present technical concepts to business and leadership audiences
  • Strong ownership mindset with attention to quality, reliability, and customer impact
  • Comfortable working in a fast‑paced, customer‑centric SaaS environment
Preferred / Added Advantage
  • Exposure to frontend technologies such as ReactJS and modern web architectures
  • Experience in the retail domain, especially analytics, forecasting, pricing, assortment, or supply chain systems
  • Experience building data‑heavy or analytics platforms at scale
  • Familiarity with microservices, APIs, and event‑driven architectures
What We Offer
  • Opportunity to lead large, high‑impact projects for global Fortune 500 clients.
  • Work in a high‑growth startup environment with a flat, collegial culture.
  • Best‑in‑class remuneration and benefits.
  • A platform for personal and professional growth with ownership and autonomy.
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