DevOps Engineer

LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

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

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Requirements:

• Experience of managing Engineering teams in an Agile environment.
• Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
• Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
• Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
• Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
• Experience in managing permissions in Azure DevOps.
• Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
• Troubleshooting experience in virtual/cloud infrastructures.
• Experience in delivery of projects using IAC (Infrastructure as Code).

• You have a Bachelor's degree in computer science or equivalent
• You have at least 7 years of DevOps experience.
• You have deep understanding of AWS and cloud architectures/services.
• You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
• You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
• You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
• You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
• You have a track record of delivering successful solutions and collaborating with others.
• You take security into account when building new systems.

• 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.