Engineering Manager

ESP Engineered; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading analytics company is searching for an experienced Engineering Manager to lead teams building scalable, cloud-native analytics platforms. This role requires strong technical leadership in Python and experience managing engineering teams. Responsibilities include overseeing complex projects, ensuring system performance, and collaborating with various teams to deliver robust solutions. Ideal candidates have extensive experience in software engineering and possess a solid understanding of cloud technologies and Agile methodologies.

Qualifications

• 12-17 years of overall software engineering experience, including leading 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.
• Experience with cloud platforms (GCP is a strong plus).
• Strong experience working in Agile/Scrum environments.

Responsibilities

• Lead and grow a team of software engineers.
• Own delivery of complex projects focused on scalability and performance.
• Provide hands-on technical leadership in Python/Java/C++.
• Drive architectural decisions aligned with data-intensive platforms.
• Ensure high availability and performance of customer-facing systems.

Skills

Python

Java

C++

PostgreSQL

SQL

Agile/Scrum

Observability

Cloud Platforms (GCP)

Job description

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 the Product, Data Science, Architecture, and Customer Success teams to deliver high-quality solutions that power retail decision intelligence.

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.

Requirements

• 12-17 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.