Cloud Architect_EMCA012PS

Job Title : Senior DevOps Engineer (Only Mumbai Candidates)

Experience : 5+ Years

Location : Mumbai (On-site)

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 1 Client Round

Mandatory Skills :

Multi-Cloud (AWS/GCP/Azure – any two), Kubernetes, Terraform, Helm (writing Helm Charts), CI/CD (GitLab CI/Jenkins/GitHub Actions), GitOps (ArgoCD/FluxCD), Multi-tenant deployments, Stateful microservices on Kubernetes, Enterprise Linux.

Role Overview :

We are looking for a Senior DevOps Engineer to design, build, and manage scalable cloud infrastructure and DevOps pipelines for product-based platforms.

The ideal candidate should have strong experience with Kubernetes, Terraform, Helm Charts, CI/CD, and GitOps practices.

Key Responsibilities :

• Design and manage scalable cloud infrastructure across AWS/GCP/Azure.
• Deploy and manage microservices on Kubernetes clusters.
• Build and maintain Infrastructure as Code using Terraform and Helm.
• Implement CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions.
• Implement GitOps workflows using ArgoCD or FluxCD.
• Ensure secure, scalable, and reliable DevOps architecture.
• Implement monitoring and logging using Prometheus, Grafana, or ELK.

Good to Have :

• Packer, OpenShift/Rancher/K3s, On-prem deployments, PaaS experience, scripting (Bash/Python), Terraform modules.

Job Title: Lead DevOps Engineer

Experience Required: 4 to 5 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

Role - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Role Overview

We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.

This is a high-ownership role with real impact on uptime, performance, and developer velocity.

Key Responsibilities

Infrastructure & Cloud Management

• Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
• Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
• Ensure high availability, fault tolerance, and scalability

CI/CD & Deployment

• Build and maintain CI/CD pipelines for backend and AI services
• Automate deployments, rollbacks, and environment management (dev, staging, prod)
• Improve release reliability and deployment speed

Monitoring, Reliability & Security

• Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
• Proactively identify and resolve performance bottlenecks and incidents
• Implement security best practices: IAM, secrets management, backups, and access controls

Cost Optimisation & Performance

• Monitor and optimise cloud costs (compute, databases, storage)
• Implement autoscaling, right-sizing, and resource optimisation
• Work with engineering teams to balance performance with cost efficiency

Required Qualifications & Skills

• 3–6 years of hands-on DevOps / Cloud Engineering experience
• Strong experience with GCP (or AWS with willingness to transition)
• Experience with Docker, Kubernetes, and containerised workloads
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to troubleshoot production issues under pressure
• Experience with AI/ML workloads and GPU-based deployments

we’d love to speak with you. Skills and Qualifications:

Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.

Proficiency in scripting languages such as Python, Bash, or Ruby.

Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.

Experience with cloud platforms such as AWS, Azure, or GCP.

Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.

Experience with version control systems such as Git.

Familiarity with Agile methodologies and practices.

Understanding of networking concepts and principles.

Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.

Good understanding of security and data protection principles.

Roles and responsibilities:

● Building and setting up new development tools and infrastructure

● Working on ways to automate and improve development and release processes

● Deploy updates and fixes

● Helping to ensure information security best practices

● Provide Level 2 technical support

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

• 3+ years of relevant experience
• 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
• Experience in setting CI/CD pipelines from scratch
• Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
• Understanding of common security issues

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required