Technical Lead

NaviSite is hiring Technical Lead job in Delhi, Gurugram, Noida (Remote friendly) | Cutshort

Technical Lead
Technical Lead

8
\- 13 yrs
₹15L - ₹25L / yr
Remote, Delhi, Gurugram, Noida
Skills
Python
Angular (2+)
Javascript
Fullstack Developer
Django
Git
Flask
SQL
PostgreSQL
Docker
Kubernetes
API
HTML/CSS
Functional:
– Should have experience in application architecture and design
– Proficiency with developing APIs in Python
– Proficiency with frontend web development (JavaScript, CSS, HTML)
– Should have 2-4 years’ experience in leading the team
– Experience object oriented programming (OOP) concepts using Python
– Experienced with full software development life-cycle, programming, database design and agile methodologies
– Experience in using Design Patterns such as MVC and frameworks such as Django, Flask
– Ability to successfully multi-task and prioritize work.
Good to have experience:
– Experience with developing applications with Angular (2+)
– Experience with Docker and Kubernetes
– Experience with SQL databases, especially PostgreSQL
Generic:
– Good Communication Skills
– Behavioural:
– Good Leader
– Adaptable / Flexible
Areas of Responsibility:
– Candidate will be a part of Product engineering global delivery team working as a Technical Lead, leading a team highly talented engineers.
– Candidate would be required (but not limited) to:
– Team management, mentoring, prioritization of work
– Work with Architecture group for defining Product Roadmap
– Requirement gathering with stake holder for Product enhancement
– Designing, Developing, and documenting the solution
– Providing support for any application issue like performance, availability
– Contributing to actual development of user stories and features etc.
Security Related:
– Ensuring conformity to corporate security and compliance objectives.
– Identifying and implementing service improvement opportunities.
– Responsible for informing the ‘business impact’ of security within the team
– Promptly report security weakness or incidents to the Practice Managers/Leads
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Companies hiring on Cutshort

Founded
:
1997
Type
:
Products & Services
Size
:
100-1000
Stage
:
Profitable
About
Navisite is a modern managed cloud service provider that accelerates IT transformation for thousands of growing and established global brands. Through our deep technical knowledge and strategic relationships with the world’s leading cloud providers, proven delivery methodologies, platform-agnostic approach and worldwide network of highly specialized experts, we provide the capabilities and practical guidance customers need to successfully embrace IT change and move their businesses forward. Let us partner with you to navigate the now—learn more at navisite.com.
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Noida
8
\- 12 yrs
₹30L - ₹40L / yr
DevOps
Docker
CI/CD
Amazon Web Services (AWS)
AWS CloudFormation
+43 more
REVIEW CRITERIA:
MANDATORY:
– Strong Senior/Lead DevOps Engineer Profile
– Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
– Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
– Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
– Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
– Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
– Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
– Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
– Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
– Its an IC role
PREFERRED:
– Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
– Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
– Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
– Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
– Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
– Architect and manage AWS environments ensuring scalability, security, and high availability.
– Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
– Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
– Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
– Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
– Deploy and operate workloads on Docker and Kubernetes (EKS).
– Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
– Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
– Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
– Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
– Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
– Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
– Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
– Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
– Manage data reliability, performance tuning, and cloud-native integrations.
– Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
– 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
– Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
– Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
– Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
– Proven ability with CI/CD pipeline automation and DevSecOps practices.
– Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
– Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
– Strong scripting skills (Shell/bash, Python, or similar) for automation.
– Bachelor / Master’s degree
– Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
– Competitive Salary Package
– Generous Leave Policy
– Flexible Working Hours
– Performance-Based Bonuses
– Health Care Benefits
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Posted by
Akash Sahu
Remote only
1
\- 15 yrs
₹2L - ₹10L / yr
Python
LangGraph
Retrieval Augmented Generation (RAG)
RAG
Amazon Web Services (AWS)
Hiring: Senior AI Engineer / AI Architect (Part-Time)
Location: 100% Remote (India)
Employment Type: Part-Time (4 Hours Daily)
About the Role
We are looking for an experienced Senior AI Engineer / AI Architect to design, develop, and deploy enterprise-grade AI solutions. This role is ideal for a highly skilled professional with deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.
You will lead the design and implementation of intelligent AI systems that automate business processes, enhance decision-making, and seamlessly integrate with enterprise applications across AWS and Azure environments.
Key Responsibilities
Generative AI & Agentic AI
– Design and build enterprise GenAI and Agentic AI applications using modern LLM frameworks.
– Develop multi-agent AI systems using LangChain and LangGraph.
– Build and optimize *