Amazon Web Services (AWS)In-depth knowledge and hands-on experience with all of the AWS services and other similar cloud services
Strong knowledge of core architectural concepts including distributed computing , scalability, availability, and performance to recommend the best backend solutions for our products
Preferred AWS Certifications:
- AWS Solutions Architect Professional/Associate AWS DevOps Engineer Professional
- AWS SysOps Administrator - Associate AWS Developer Associate
Key Skills
- ITCAN is looking for an AWS Solution Architect who will be responsible for development of scalable, optimized, and reliable backend solutions using AWS services for all our products. You will ensure that our products consume AWS services in the mast effective methods. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities:
- Analyse requirements and devise innovative, efficient, and cost-effective architecture using AWS components and services that ensure scalability, availability and high- performance.
- Develop automation and deployment utilities using Ruby, Bash and Shell scripting and implementing
- CI/CD pipelines using Jenkins, Code Deploy, Git, Code Pipeline, Code Commit etc. To ensure seamless deployment with no downtime.
- Redesign architectures end Lo-end seamlessly by working through major software upgrades such as Apache.
- Ensure an always-running network with the ability to set up redundant DNS systems with failover capabilities.
- Ensure the AWS services consumed are aligned with best practices to ensure higher availability and security along with optimal cost utilization.
- Using AWS-managed services, implement ELK systems end-to-end.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Machine Learning (ML)Amazon Web Services (AWS)We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.
The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.
Must have skills & Qualifications:
- 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
- Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
- Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
- Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
- Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
- Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
- Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
- Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
- Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
- Experience with feature engineering pipelines and Feature Store management.
- Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
- Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
- Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
- Strong foundation in Python and cloud-native development patterns.
- Solid understanding of security best practices, IAM, secrets management, and artifact governance.
Good to have skills:
- Experience with vector databases, RAG pipelines, or multi-agent AI systems.
- Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
- Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
- Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
- Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
- Ability to translate business goals into scalable AI/ML platform designs.
- Strong communication and cross-team collaboration skills.
- Ability to guide engineering teams through technical uncertainty and design choices.
Key Responsibilities:
- Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
- Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
- Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
- Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
- Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
- Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
- Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
- Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
- Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
- Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices.
Amazon Web Services (AWS)
Docker
Kubernetes- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
DockerKubernetesAmazon Web Services (AWS)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
DockerKubernetesAmazon Web Services (AWS)Please Apply - https://zrec.in/RZ7zE?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: DevOps Engineer GCP
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 2-4 years
Education: B.Tech/MCA/BCA
Notice Period: Immediately
Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in GCP, AWS or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
Ideal Candidate Profile:
- A graduation/post-graduation degree in Computer Science and related fields
- 2-4 years of strong DevOps experience with the Linux environment.
- Strong interest in working in our tech stack
- Excellent communication skills
- Worked with minimal supervision and love to work as a self-starter
- Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
- Experience with version control systems like Git
- Strong experience of GCP.
- Strong experience with managing the Production Systems day in and day out
- Experience in finding issues in different layers of architecture in production environment and fixing them
- Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
- Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
- Experience in automation tools like Ansible/SaltStack and Jenkins
- Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
- Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
- Experience with managing/mentoring small team of 2-3 people (desirable)
- Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
- Experience in logging tools Like ELK/Loki.
DockerKubernetesAmazon Web Services (AWS)e are looking for a DevOps Architect/Engineer with strong technical expertise and decent years of experience to join our IT firm. You will be responsible for facilitating the development process and operations across our organization. Besides, you should own excellent leadership skills to mentor and guide the team members.
To be successful in this job role, you should be able to streamline all DevOps practices. You should be able to review technical operations and automate the process using the right tools and techniques.
Your knowledge of the latest industry trends will prove beneficial in designing efficient practices. Moreover, you should be able to demonstrate excellent research skills and outstanding problem-solving abilities. If you possess the required skills, knowledge, and experience, then do write to us. We would be happy to meet you.
Responsibilities
- Simplifying the development process and operations
- Analyzing any setbacks or shortcomings in the operations
- Developing appropriate DevOps channels
- Setting up a continuous build environment to boost software development
- Designing and delivering efficient and comprehensive best practices
- Reviewing and managing technical operations
- Analyzing and streamlining the existing DevOps practices
- Monitoring and guiding the development team
- Using the right tools and techniques to automate technical processes
- Handling all deployment processes
- Minimizing failures and troubleshooting any technical issues
- Implementing effective DevOps solutions
- Ensuring all systems are secure and scalable
Requirements
- Bachelor’s degree in Information Technology, Computer Science or a related discipline
- Previous work experience in the IT industry
- Complete knowledge of DevOps tools like Docker, Git, Puppet, and Jenkins
- Familiarity with the latest industry trends and best practices
- Basic understanding of cloud-based environments
- Know-how of software development, testing, and configuration methodologies
- Knowledge of scripting languages like Python, JavaScript, and HTML
- Excellent analytical and research skills
- Strong leadership skills
- Ability to motivate team members
- Highly innovative individual
- Excellent problem-solving ability
- Ability to organize and manage time effectively
- Ability to work collaboratively and independently
- Good communication skills
- Ability to drive the automation process
- Demonstrating multitasking skills
- Familiarity with deployment process and tools
- Ability to maintain the confidentiality of any sensitive information
- Willingness to work in a competitive environment
Amazon Web Services (AWS)DockerKubernetesMactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.
You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Automate infrastructure creation with Terraform, AWS Cloud Formation
- Perform application configuration management, and application-deployment tool enabling infrastructure as code.
- Take ownership of the Build and release cycle of the customer project.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
- Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
- Design the team strategy in collaboration with founders of the organization.
What are we looking for?
- 4+ years of experience in using Terraform for IaaC
- 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
- 4+ years of Linux or Windows Administration experience.
- 4+ years of version control systems (git), including branching and merging strategies.
- 2+ Experience in working with AWS Infrastructure, and platform services.
- 2+ Experience in cloud automation tools (Ansible, Chef).
- Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
- You are extremely proactive at identifying ways to improve things and to make them more reliable.
You will be preferred if
- Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Docker- Provides free and subscription-based website and email services hosted and operated at data centres in Mumbai and Hyderabad.
- Serve global audience and customers through sophisticated content delivery networks.
- Operate a service infrastructure using the latest technologies for web services and a very large storage infrastructure.
- Provides virtualized infrastructure, allows seamless migration and the addition of services for scalability.
- Pioneers and earliest adopters of public cloud and NoSQL big data store - since more than a decade.
- Provide innovative internet services with work on multiple technologies like php, java, nodejs, python and c++ to scale our services as per need.
- Has Internet infrastructure peering arrangements with all the major and minor ISPs and telecom service providers.
- Have mail traffic exchange agreements with major Internet services.
Job Details :
- This job position provides competitive professional opportunity both to experienced and aspiring engineers. The company's technology and operations groups are managed by senior professionals with deep subject matter expertise.
- The company believes having an open work environment offering mentoring and learning opportunities with an informal and flexible work culture, which allows professionals to actively participate and contribute to the success of our services and business.
- You will be part of a team that keeps the business running for cloud products and services that are used 24- 7 by the company's consumers and enterprise customers around the world. You will be asked to contribute to operate, maintain and provide escalation support for the company's cloud infrastructure that powers all of cloud offerings.
Job Role :
- As a senior engineer, your role grows as you gain experience in our operations. We facilitate a hands-on learning experience after an induction program, to get you into the role as quickly as possible.
- The systems engineer role also requires candidates to research and recommend innovative and automated approaches for system administration tasks.
- The work culture allows a seamless integration with different product engineering teams. The teams work together and share responsibility to triage in complex operational situations. The candidate is expected to stay updated on best practices and help evolve processes both for resilience of services and compliance.
- You will be required to provide support for both, production and non-production environments to ensure system updates and expected service levels. You will be required to specifically handle 24/7 L2 and L3 oversight for incident responses and have an excellent understanding of the end-to-end support process from client to different support escalation levels.
- The role also requires a discipline to create, update and maintain process documents, based on operation incidents, technologies and tools used in the processes to resolve issues.
QUALIFICATION AND EXPERIENCE :
- A graduate degree or senior diploma in engineering or technology with some or all of the following:
- Knowledge and work experience with KVM, AWS (Glacier, S3, EC2), RabbitMQ, Fluentd, Syslog, Nginx is preferred
- Installation and tuning of Web Servers, PHP, Java servlets, memory-based databases for scalability and performance
- Knowledge of email related protocols such as SMTP, POP3, IMAP along with experience in maintenance and administration of MTAs such as postfix, qmail, etc will be an added advantage
- Must have knowledge on monitoring tools, trend analysis, networking technologies, security tools and troubleshooting aspects.
- Knowledge of analyzing and mitigating security related issues and threats is certainly desirable.
- Knowledge of agile development/SDLC processes and hands-on participation in planning sprints and managing daily scrum is desirable.
- Preferably, programming experience in Shell, Python, Perl or C.
DockerKubernetesRequirements
JenkinsKubernetesBelow is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
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Amazon Web Services (AWS)
Python
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon