
BASIC QUALIFICATIONS
- BS level technical degree or equivalent professional
- Skills to represent AWS ProServe well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Demonstrated ability to think strategically about business, product, and technical challenges
- ·Highly technical and analytical, possessing 15 or more years of IT implementation experience
- ·Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required
- Hands on experience in infrastructure implementation
- Automation skills python, powershell knowledgeand cloud formation template
- Strong experience in Architecture, designing and migrating applications on the AWS platform
- Experience with IT compliance and risk management requirements (eg. security, privacy, SOX, HIPPA etc.)
- Experience working with customers, partners or third-party developers
- Strong verbal and written communications skills and ability to lead effectively across organizations
PREFERRED QUALIFICATIONS
o Demonstrated success as a Cloud Infrastructure architect or consultant working with various platforms
o Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability
o Cloud certifications
o Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration and automated deployment
o Presenting at public events such as technology conferences, hackathons, blogging, writing on technical forums, etc.

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Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Senior DevSecOps Engineer (Cybersecurity & VAPT) - Arcitech AI
Arcitech AI, located in Mumbai's bustling Lower Parel, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology.
Full-time
Navi Mumbai, Maharashtra, India
5+ Years Experience
₹
1200000 - 1400000
Job Title: Senior DevSecOps Engineer (Cybersecurity & VAPT)
Location: Vashi, Navi Mumbai (On-site)
Shift: 10:00 AM - 7:00 PM
Experience: 5+ years
Salary : INR 12,00,000 - 14,00,000
Job Summary
Hiring a Senior DevSecOps Engineer with strong cloud, CI/CD, automation skills and hands-on experience in Cybersecurity & VAPT to manage deployments, secure infrastructure, and support DevSecOps initiatives.
Key Responsibilities
Cloud & Infrastructure
- Manage deployments on AWS/Azure
- Maintain Linux servers & cloud environments
- Ensure uptime, performance, and scalability
CI/CD & Automation
- Build and optimize pipelines (Jenkins, GitHub Actions, GitLab CI/CD)
- Automate tasks using Bash/Python
- Implement IaC (Terraform/CloudFormation)
Containerization
- Build and run Docker containers
- Work with basic Kubernetes concepts
Cybersecurity & VAPT
- Perform Vulnerability Assessment & Penetration Testing
- Identify, track, and mitigate security vulnerabilities
- Implement hardening and support DevSecOps practices
- Assist with firewall/security policy management
Monitoring & Troubleshooting
- Use ELK, Prometheus, Grafana, CloudWatch
- Resolve cloud, deployment, and infra issues
Cross-Team Collaboration
- Work with Dev, QA, and Security for secure releases
- Maintain documentation and best practices
Required Skills
- AWS/Azure, Linux, Docker
- CI/CD tools: Jenkins, GitHub Actions, GitLab
- Terraform / IaC
- VAPT experience + understanding of OWASP, cloud security
- Bash/Python scripting
- Monitoring tools (ELK, Prometheus, Grafana)
- Strong troubleshooting & communication
Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.
In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.
This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.
Requirements
Preferred Technical Qualifications
- 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
- Familiarity with container technologies such as Docker and Kubernetes.
- Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
- Programming experience in Python, Java, or another language used in DevOps workflows.
- Understanding of cloud platforms such as AWS, Azure, or GCP
- Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills
Collaboration Skills:
- Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
- Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.
Effective Communication:
- Ability to communicate technical concepts clearly to team members and stakeholders.
- Desire to improve documentation and presentation skills to share ideas effectively.
Problem-Solving Mindset:
- Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
- Interest in learning how to diagnose and resolve issues in containerized and
- distributed systems.
Adaptability and Continuous Learning:
- Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
- Commitment to staying updated with trends in cloud computing, DevOps, and
Team-Oriented Approach:
- Enthusiastic about contributing to a collaborative team environment and supporting
- overall project goals.
- Open to feedback and actively sharing knowledge to help the team grow.
Certifications (Optional but Preferred)
- Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
- certification
- Any beginner-level certifications in DevOps or cloud services are a plus.
- Any AWS Certification
Why Join Aivar?
At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.
About Diversity and Inclusion
We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max

- Degree in Computer Science or related discipline.
- AWS Certified Solutions Architect certification required
- 5+ years of architecture, design, implementation, and support of highly complex solutions (i.e. having an architectural sense for ensuring security and compliance, availability, reliability, etc.)
- Deep technical experience in serverless AWS infrastructure
- Understanding of cloud automation and orchestration tools and techniques including git, terraform, ARM or equivalent
- Create Technical Design documents, understand technical designs and translate into the application requirements.
- Exercise independent judgment in evaluating alternative technical solutions
- Participate in code and design review process
- Write unit test cases for quality check of the deliverables
- Ability to work closely with others in a team environment as well as independently
- Proven ability to problem solve and troubleshoot
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
- Excellent English communication skills are required
We are looking for a Solution Architect with at least 5 years’ experience working on the following to join our growing team:
- AWS
- Postgresql
- EC2 on AWS
- Cognito
- and most importantly Serverless
You will need a strong technical AWS background focused on architecting on serverless (eg Lambda) AWS infrastructure.
A strong background in Azure OR Amazon Web Services (AWS) or a similar cloud platform is a must-have, certification is a plus.
Excellent technical skills and knowledge include but not limited to: cloud methodologies like PaaS and SaaS; programming languages such as Python, Java, .Net; orchestration systems such as Chef, Ansible, Terraform; Azure IaaS servers; PowerShell scripting.
Fully aware of the DevOps cycle with hands-on on deployment models to the cloud.
Experience working with Docker and related containerization technologies.
Experience working on orchestration platforms such as AKS, RedHat OpenShift etc.
Extensive knowledge working with logging and monitoring tools such as EFK, visualization tools such as Grafana and Prometheus.
Exposure to security alert monitoring tools.
Experience in building both microservices and public facing API's.- Experience in working with any of the API gateways.






