Menschen Consulting Pvt. Ltd.
Technical Lead
Skills
2 days ago
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Important information
Contract type:
Permanent
Salary:
₹6,000,000 – ₹7,000,000 / year
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
19 October 2026
What they need
Job Description: Technical Lead / Head of Engineering
Department: Technology
Employment Type: Full-time
Work Mode: Work from Office
Experience Required: 10+ years
Leadership Experience: Minimum 3 years managing engineering teams of approximately 10–20 members
Role Overview
We are seeking a highly experienced, hands-on technology leader to take ownership of technology architecture, software engineering, platform reliability, infrastructure, security, data engineering and AI-enabled product development.
The incumbent will work closely with business leadership and product management to translate business priorities into scalable, secure and high-quality technology solutions. The role requires a combination of strategic thinking, technical depth, engineering execution and people leadership.
Key Responsibilities
- Technology Strategy and Architecture
- Define and maintain scalable, secure and reliable application architecture.
- Make architectural decisions concerning databases, integrations, real-time messaging and system resilience.
- Review technical designs, code and pull requests to maintain engineering standards.
- Ensure technology decisions align with business goals and future scalability.
- Software Engineering and Delivery
- Lead backend engineering using TypeScript, Node.js and NestJS or comparable frameworks.
- Oversee frontend applications built with React and Next.js.
- Manage sprint planning, release planning, delivery timelines and production deployments.
- Establish development standards, code review processes and engineering best practices.
- Database and Data Engineering
- Own PostgreSQL database architecture, schema design, indexing, query optimisation and transaction management.
- Manage replication, connection pooling, locking and safe database migrations.
- Oversee analytical data platforms and data warehouses such as Snowflake, Amazon Redshift or BigQuery.
- Drive dimensional modelling, ELT pipelines and orchestration using tools such as dbt and Airflow.
- Cloud Infrastructure and Reliability
- Manage AWS infrastructure and cloud resource optimisation.
- Oversee Kubernetes or equivalent managed infrastructure.
- Establish and maintain CI/CD pipelines, development environments, automated testing and observability.
- Lead incident response, root-cause analysis, system availability and business continuity planning.
- Manage technology vendors, tools and cloud expenditure.
- Security and Compliance
- Ensure application and cloud security best practices.
- Oversee data privacy, GDPR requirements, personally identifiable information (PII) handling and access controls.
- Coordinate vulnerability assessment and penetration testing (VAPT) remediation.
- Support ISO-aligned security controls and compliance initiatives.
- Data, AI and Innovation
- Collaborate with data and AI specialists to develop and deliver AI-enabled product features.
- Support production implementation of LLM-based applications and AI-assisted workflows.
- Establish evaluation, monitoring and feedback mechanisms for AI features.
- Ensure AI coding tools are used securely, responsibly and with appropriate engineering review.
- Team Leadership and Stakeholder Management
- Lead, recruit, mentor and develop software engineering and data/AI teams.
- Conduct regular one-to-one meetings, performance reviews, goal setting and appraisals.
- Develop future engineering leaders and improve team productivity.
- Work closely with business leaders, product management, operations, clients and external partners.
- Explain complex technical issues, risks and trade-offs to non-technical stakeholders.
Required Technical Skills
- TypeScript, Node.js and NestJS or equivalent backend technologies.
- PostgreSQL and advanced database performance optimisation.
- Redis, queues, third-party APIs, webhooks and integration-heavy architectures.
- AWS cloud infrastructure and Kubernetes or equivalent.
- Data warehouses, ELT pipelines and analytical data modelling.
- CI/CD, automated testing, code reviews and production monitoring.
- Application security, authentication, authorisation and data protection.
- Strong technical documentation and stakeholder communication skills.
Preferred Skills
- React and Next.js.
- WebSockets, Socket.IO, real-time chat or contact-centre platforms.
- Playwright and end-to-end testing.
- Grafana, Loki and Sentry.
- AI coding agents and production LLM applications.
- Exposure to ISO 27001, SOC 2 or investor technical due diligence.
Candidate Profile
- 10+ years of experience in software engineering.
- At least 3 years of experience leading engineering teams of 10–20 professionals.
- Experience managing multidisciplinary teams, preferably including data or machine learning functions.
- Strong problem-solving, decision-making and people-management abilities.
- Ability to balance strategic ownership with hands-on technical involvement.
- Customer-focused, accountable and comfortable working in a fast-paced environmen
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