Software Engineering Manager

Role Overview

We are looking for a Software Engineering Manager with strong experience in Python, React Native, Graph

QL, Postgre

SQL, and AWS. The role involves building scalable cloud-native applications, improving system reliability and performance, handling production support, and leading complex technical initiatives across backend, mobile, and cloud platforms.

Responsibilities

Lead, mentor, and develop a team of software engineers across backend, mobile, and cloud platforms, fostering a culture of accountability, collaboration, engineering excellence, continuous learning, and attention to detail
Own the overall delivery and operational health of services across Python backends, React Native mobile applications, Graph

QL APIs, Postgre

SQL databases, and AWS cloud infrastructure, ensuring scalability, reliability, performance, and maintainability
Drive architecture design and technical strategy for large-scale, distributed systems, ensuring solutions align with business objectives, scalability requirements, security standards, and long-term platform sustainability
Conduct architecture and design reviews for new initiatives and existing systems, providing technical guidance and governance to ensure consistency with engineering standards and best practices
Partner closely with Product, UX, QA, Dev Ops, and business stakeholders to drive technical discovery, define solution approaches, assess risks, and secure cross-functional alignment
Oversee engineering process adherence across the software development lifecycle, ensuring compliance with established standards for SDLC, change management, testing, deployment, incident management, and release governance
Lead production incident management efforts, including escalation handling, root cause analysis (RCA), corrective actions, and continuous improvement initiatives to improve platform stability and reduce recurring issues
Drive continuous improvement initiatives focused on system resiliency, automation, operational efficiency, technical debt reduction, engineering productivity, and AI-driven innovation opportunities
Champion observability and monitoring best practices using tools such as Datadog to improve system visibility, alerting, operational insights, and platform reliability
Ensure adherence to security, regulatory, compliance, and operational standards across application development, infrastructure management, and production support activities
Support hiring, performance management, career development, and succession planning activities for the engineering organization
Communicate effectively with technical and non-technical stakeholders through strong verbal and written communication skills

Requirements

Python
React Native
GraphQL
PostgreSQL
AWS
AWS Lambda
AWS ECS
AWS DynamoDB
AWS S3
AWS API Gateway
AWS Cloud Watch
Distributed Systems Architecture
Cloud-Native Architecture
Engineering Leadership
Team Management
Incident Management
CI/CD Pipelines
Observability & Monitoring
Datadog
SDLC Process Management
Root Cause Analysis
Security & Compliance
Cross-functional Collaboration
Technical Communication

Preferred Skills

AI/ML Technologies
Automation Tools
Data-Driven Decision Making

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
Proven experience leading and managing software engineering teams delivering production systems using Python, React Native, Graph

QL, Postgre

SQL, AWS cloud technologies, and distributed architectures
Strong experience designing and reviewing scalable cloud-native architectures using AWS services such as Lambda, ECS, Dynamo

DB, S3, API Gateway, and Cloud Watch
Experience implementing observability, monitoring, and operational alerting solutions using Datadog or similar platforms
Demonstrated experience driving engineering process improvements, operational excellence initiatives, incident management, and release governance practices
Strong understanding of CI/CD pipelines, automated testing strategies, observability, system reliability, and modern software development best practices
AI-forward mindset with an interest in leveraging AI technologies, automation, and data-driven decision-making to improve engineering efficiency and product innovation
Proven ability to lead cross-functional initiatives, manage competing priorities, and communicate effectively with both technical and non-technical stakeholders
Strong analytical skills with high attention to detail and a focus on delivering high-quality, scalable solutions

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.