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Engineering Manager
Role Summary The Engineering Manager is responsible for driving technology strategy, execution excellence, and scalable platform development. This role bridges business goals with technical delivery, ensuring high-quality product development, operational efficiency, and innovation across systems and teams. The EM plays a critical leadership role in building high-performing teams, optimizing engineering processes, and enabling business growth through technology.
Key Responsibilities
● Define and execute the technology roadmap aligned with business objectives
● Drive scalable architecture decisions across platforms and services
● Lead modernization initiatives (microservices, automation, etc.)
● Ensure systems are secure, resilient, and high-performing
● Oversee end-to-end product development lifecycle
● Ensure timely delivery of projects with high quality
● Establish and enforce engineering best practices and standards
● Drive Agile methodologies and continuous improvement
● Manage core systems such as (not limited):
○ User management and authentication ○ Billing, wallet, and payment systems
○ Messaging platforms (SMS, WhatsApp, etc.)
● Ensure high availability, scalability, and fault tolerance
● Build and mentor high-performing engineering teams
● Define team structure, hiring plans, and capability development
● Drive performance management and career growth
● Foster a culture of ownership, accountability, and innovation
● Work closely with Product, QA, DevOps, Sales, and Leadership teams
● Translate business requirements into technical execution plans
● Act as a key stakeholder in strategic decision-making
● Establish KPIs for engineering efficiency and delivery
● Monitor system performance, uptime, and incident management
● Drive automation in testing, deployment, and monitoring
● Ensure compliance with security and data governance standards
● Evaluate and onboard technology solutions and tools
● Communicate progress, risks, and outcomes to leadership Key Skills & Competencies
● Strong understanding of distributed systems and scalable architectures
● Experience with Infrastructure on DataCenters
● Knowledge of backend systems, APIs, databases, and messaging systems
● Experience with DevOps, CI/CD, and monitoring tools
● Proven ability to lead large engineering teams
● Strong decision-making and problem-solving skills
● Excellent communication and stakeholder management
● Strategic thinking with execution focus
● Ability to align technology with business impact and ROI
● Experience in handling budgets, cost optimization, and planning
● Understanding of product lifecycle and customer experience Qualifications
● Bachelor's or Master's degree in Engineering / Computer Science or related field
● 10–15+ years of experience in software engineering
● 5+ years in leadership roles
Key Performance Indicators (KPIs)
● On-time delivery of projects
● System uptime and reliability
● Engineering productivity and efficiency
● Quality metrics (defect rate, rework rate)
● Team retention and engagement
● Cost optimization and infrastructure efficiency
Job ID: 147719305
Skills:
a b testing , Deep Learning, Deployment serving at scale, experiment tracking, user modelling, core ML techniques, modern MLOps practices, ranking recommendation systems, Applied NLP, alerting, supervised learning, Scalable data pipelines, Continuous Improvement, experimentation, model registries, model lifecycle management, feature engineering, CI CD for ML, Monitoring
Skills:
Sql, Spring Framework, Rabbitmq, Java, Maven, Grafana, Cloudformation, Nosql, Gcp, Terraform, Git, Elk Stack, Spring Boot, AWS SQS, Gradle, Spring Cloud, Distributed Systems, AWS, Prometheus, Kubernetes, Azure, Docker, Apache Kafka, RESTful API design, caching strategies, microservices architecture
Skills:
Rest Apis, Typescript, Nodejs, Service Oriented Architecture, Spring Boot, Javascript, Bitbucket, Logging, Java, Microservices, Devops, Jira, Expressjs, AWS, MySQL, AWS Aurora, MongoDB, Monitoring, Messaging, CI CD, Caching, Alerting
Skills:
AWS, Java, Python, Scala, AI-assisted SDLC practices, cloud-native distributed systems architecture, AI tools
Skills:
containerization , PostgreSQL, API design, System Design, Distributed Systems, AWS, MySQL, Kubernetes, Gcp, Docker, Pci Dss, MongoDB, security practices, SOC 2, cloud platforms, event-driven systems, performance optimization, microservices architecture, NoSQL databases
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