DevOps Engineer

Apprication Pvt Ltd -Work form office -Goregoan(E)

DevOps Engineer:

Should Have, Preferred 1-4YRS

Automate the deployment process from Bitbucket to servers.

Implement autoscaling servers.

Create containers and server images.

Possess comprehensive AWS server knowledge beyond just EC2 instances.

Elastic Load Balancing (ELB) and Amazon Route 53 for traffic management.

Amazon RDS and DynamoDB for database management.

Utilize a broad range of AWS services beyond EC2, including but not limited to.

AWS IAM for secure access management.

Optimize AWS infrastructure for security, scalability, and cost-effectiveness.

Jenkins, or similar CI/CD tools.

Ensure seamless and reliable code deployments with minimal downtime.

Deploy and manage infrastructure using IaC tools such as Terraform, AWS CloudFormation, or Ansible.

Implement autoscaling solutions to automatically adjust server capacity based on demand, ensuring optimal performance and cost-efficiency.

Create, manage, and optimize container images using Docker.

Deploy and orchestrate containers using Kubernetes or other orchestration tools to ensure scalability.

Implement comprehensive monitoring solutions using tools like Prometheus, Grafana, ELK Stack, etc.

Regards

HR

Job Description-

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect ML, Cloud

Experience:5-10 years

Client Location: Bangalore

Work Location: Tokyo, Japan (Onsite)

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect (ML, Cloud)

Location: Tokyo, Japan (Onsite)

Experience: 5-10 years

Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.

Key Responsibilities:

Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.

Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.

Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.

Design and optimize algorithms to improve performance, scalability, and reliability of solutions.

Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.

Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.

Contribute to the development of technical documentation and solution roadmaps.

Stay up-to-date with emerging technologies and continuously improve solution design processes.

Required Skills & Qualifications:

5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.

Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).

Solid experience with Kubernetes for container orchestration and deployment.

Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).

Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.

Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).

Strong knowledge of scalable architecture design and cloud-native application development.

Familiarity with CI/CD tools and DevOps practices.

Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.

Strong communication and collaboration skills with cross-functional teams.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Qualifications:

Experience with microservices and containerization.

Knowledge of distributed systems and high-performance computing.

Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).

Familiarity with Agile methodologies and Scrum.

Japanese language proficiency is an added advantage (but not mandatory).

Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python

 Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

DevOps Consultant 

Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)

Key Skills / Requirements:

• Mandatory
• Integrating Jenkins pipelines with Terraform and Kubernetes
• Writing Jenkins JobDSL and Jenkinsfiles using Groovy
• Automation and integration with AWS using Python and AWS CLI
• Writing ad-hoc automation scripts using Bash and Python
• Configuring container-based application deployment to Kubernetes
• Git and branching strategies
• Integration of tests in pipelines
• Build and release management
• Deployment strategies (eg. canary, blue/green)
• TLS/SSL certificate management
• Beneficial
• Service Mesh
• Deployment of Java Spring Boot based applications
• Automated credential rotation using AWS Secrets Manager
• Log management and dashboard creation using Splunk
• Application monitoring using AppDynamics

If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud

Regards,
Anitha. K
TAG Specialist

Role Introduction

• This role involves guiding the DevOps team towards successful delivery of Governance and

toolchain initiatives by removing manual tasks.

• Operate toolchain applications to empower engineering teams by providing, reliable, governed

self-service tools and supporting their adoption

• Driving good practice for consumption and utilisation of the engineering toolchain, with a focus

on DevOps practices

• Drive good governance for cloud service consumption

• Involves working in a collaborative environment and focus on leading team and providing

technical leadership to team members.

• Involves setting up process and improvements for teams on supporting various DevOps tooling

and governing the tooling.

• Co-ordinating with multiple teams within organization

• Lead on handovers from architecture teams to support major project rollouts which require the

Toolchain governance DevOps team to operationally support tooling

What you will do

• Identify and implement best practices, process improvement and automation initiatives for

improvement towards quicker delivery by removing manual tasks

• Ensure best practices and process are documented for reusability and keeping up-to date on

good practices and standards.

• Re-usable automation and compliance service, tools and processes

• Support and management of toolchain, toolchain changes and selection

• Identify and implement risk mitigation plans, avoid escalations, resolve blockers for teams.

Toolchain governance will involve operating and responding to alerts, enforcing good tooling

governance by driving automation, remediating technical debt and ensuring the latest tools

are utilised and on the latest versions

• Triage product pipelines, performance issues, SLA/SLO breaches, service unavailable along

with ancillary actions such as providing access to logs, tools, environments.

• Involve in initial / detailed estimates during roadmap planning or feature

estimation/planning of any automation identified for a given toolset.

• Develop, refine, and tune integrations between various tools

• Discuss with Product Owner/team on any challenges from implementation, deployment

perspective and assist in arriving probable solution and escalate any risks to get them

resolved w.r.t DevOps toolchain.

• In consultation with Head of DevOps and other stake holders, prioritization of items, item-

task breakdown; accountable for squad deliverables for sprint

• Involve in reviewing current components and plan for upgrade and ensure its communicated

to wider audience within Organization

• Involve in reviewing access / role and enhance and automate provisioning.

• Identify and encourage areas for growth and improvement within the team e.g conducts

regular 1-2-1’s with squad members to provide support, mentoring and goal setting

• Involve in performance management ,rewards and recognition of team members, Involve in

hiring process.• Plan for upskill of team to know about tools and perform tasks. Ensure quicker onboarding

of new joiners/freshers to team to be productive.

• Review ticket metrics to measure the health of the project including SLAs and plan for

improvement.

• Requirement for on call for critical incidents that happen Out of Hours, based on tooling SLA.

This may include planning standby schedule for squad, carrying out retrospective for every

callout and reviewing SLIs/SLOs.

• Owns the tech/repair debt, risk and compliance for the tooling with respect to

infrastructure, pipelines, access etc

• Track optimum utilization of resources and monitor/track the delivery schedule

• Review solutions designs with the Architects / Principal DevOps Engineers as required

• Provide monthly reporting which align to DevOps Tooling KPIs

What you will have

• Candidate should have 8+ years of experience and Hands-on DevOps experience and

experience in team management.

• Strong communication and interpersonal skills, Team player

• Good working experience of CI/CD tools like Jenkins, SonarQube, FOSSA, Harness, Jira, JSM,

ServiceNow etc.

• Good hands on knowledge of AWS Services like EC2, ECS, S3, IAM, SNS, SQS, VPC, Lambda,

API Gateway, Cloud Watch, Cloud Formation etc.

• Experience in operating and governing DevOps Toolchain

• Experience in operational monitoring, alerting and identifying and delivering on both repair

and technical debt

• Experience and background in ITIL/ITSM processes. The candidate will ensure development

of the appropriate (ITSM) model and processes, based on the ITIL Service Management

framework. This includes the strategic, design, transition, and operation services and

continuous service improvement

• Provide ITSM leadership experience and coaching processes

• Experience on various tools like Jenkins, Harness, Fossa,

• Experience of hosting and managing applications on AWS/AZURE•

• Experience in CI/CD pipeline (Jenkins build pipelines)

• Experience in containerization (Docker/Kubernetes)

• Experience in any programming language (Node.js or Python is preferred)

• Experience in Architecting and supporting cloud based products will be a plus

• Experience in PowerShell & Bash will be a plus

• Able to self manage multiple concurrent small projects, including managing priorities

between projects

• Able to quickly learn new tools

• Should be able to mentor/drive junior team members to achieve desired outcome of

roadmap-

• Ability to analyse information to identify problems and issues, and make effective decisions

within short span

• Excellent problem solving and critical thinking

• Experience in integrating various components including unit testing / CI/CD configuration.

• Experience to review current toolset and plan for upgrade.

• Experience with Agile framework/Jira/JSM tool.• Good communication skills and ability to communicate/work independently with external

teams.

• Highly motivated, able to work proficiently both independently and in a team environment

Good knowledge and experience with security constructs –

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Implement consistent observability, deployment and IaC setups
• Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
• Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Lead infrastructure security audits

Requirements

• At least 7 years of experience in handling/building Production environments in AWS.
• At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Experience in security hardening of infrastructure, systems and services.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.

DevOps Engineer, Plum & Empuls 

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

Key Responsibilities

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. Empuls works with over 100 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

Way forward

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status

If you are looking for good opportunity in Cloud Development/Devops. Here is the right opportunity.

EXP: 4-10 YRs
Location:Pune
Job Type: Permanent
Minimum qualifications:

• Education: Bachelor-Master degree 
• Proficient in English language. 

Relevant experience:

• Should have been working for at least four years as a DevOps/Cloud Engineer 
• Should have worked on AWS Cloud Environment in depth 
• Should have been working in an Infrastructure as code environment or understands it very clearly. 
• Has done Infrastructure coding using Cloudformation/Terraform and Configuration Management using Chef/Ansibleand Enterprise Bus(RabbitMQ/Kafka) 
• Deep understanding of the microservice design and aware of centralized Caching(Redis), centralizedconfiguration(Consul/Zookeeper)