Software Engineering Manager

Simfluent; Dadri; On-site; INR 350,000 - 550,000; Full time

Job summary

Simfluent is seeking a Software Engineering Manager with deep experience in Python, React Native, GraphQL and AWS to lead scalable cloud-native applications. You will mentor engineers across backend, mobile, and cloud, drive architecture, ensure reliability, security, and operational excellence, and partner with product and QA to deliver high-impact solutions.

Responsibilities include overseeing incident management, observability with Datadog, and guiding CI/CD, testing, and release governance

Qualifications

• Bachelor's degree or equivalent practical experience in Computer Science/Engineering.
• Proven experience leading software engineering teams delivering production systems using Python, React Native, GraphQL, PostgreSQL, AWS cloud technologies, and distributed architectures.
• Strong experience designing and reviewing scalable cloud-native architectures using AWS services such as Lambda, ECS, DynamoDB, S3, API Gateway, and CloudWatch.
• 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 interest in leveraging AI technologies, automation, and data-driven decision-making.
• Proven ability to lead cross-functional initiatives, manage competing priorities, and communicate with technical & non-technical stakeholders.
• Strong analytical skills with high attention to detail and focus on delivering high-quality, scalable solutions.

Responsibilities

• Lead, mentor, and develop a team of software engineers across backend, mobile, and cloud platforms.
• Own delivery and operational health of services across Python backends, React Native apps, GraphQL APIs, PostgreSQL databases, and AWS.
• Drive architecture design and technical strategy for large-scale, distributed systems.
• Conduct architecture and design reviews ensuring alignment with standards and best practices.
• Partner with Product, UX, QA, DevOps and business stakeholders to drive discovery and secure cross-functional alignment.
• Oversee SDLC adherence, change management, testing, deployment, incident management, and release governance.
• Lead production incident management including RCA, corrective actions and continuous improvement.
• Drive improvements in resiliency, automation, operational efficiency, debt reduction, and engineering productivity.
• Champion observability and monitoring using tools like Datadog to improve visibility and reliability.
• Ensure adherence to security, regulatory, compliance, and operational standards across development and production.
• Support hiring, performance management, and career development within the engineering org.
• Communicate effectively with technical and non-technical stakeholders.

Skills

Python

React Native

GraphQL

PostgreSQL

AWS

AWS Lambda

AWS ECS

AWS DynamoDB

AWS S3

AWS API Gateway

AWS CloudWatch

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

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Datadog

CI/CD tools

Job description

Role Overview

We are looking for a Software Engineering Manager with strong experience in Python, React Native, GraphQL, PostgreSQL, 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, GraphQL APIs, PostgreSQL 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, DevOps, 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 CloudWatch
• 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, GraphQL, PostgreSQL, AWS cloud technologies, and distributed architectures.
• Strong experience designing and reviewing scalable cloud-native architectures using AWS services such as Lambda, ECS, DynamoDB, S3, API Gateway, and CloudWatch.
• 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.