Azure DevOps

Roles and Responsibilities:

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills:

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
• Strong proficiency in automated provisioning and cloud management.
• Experience with Infrastructure as Code tools, particularly Terraform and Packer.
• Solid understanding of CI/CD pipelines and version control systems.
• Strong scripting skills (e.g., Python, Bash) for automation tasks.
• Excellent problem-solving and troubleshooting skills.
• Good interpersonal and communication skills for effective collaboration.

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of microservices architecture and serverless computing.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).

Lead DevSecOps Engineer

Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time

Apply here → https://lnk.ink/CLqe2

About FlytBase:

FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.

We're building intelligent autonomy — not just automation — and security is core to that vision.

What You’ll Own

You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.

Expect to:

• Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
• Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
• Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
• Build for Zero Trust security — logs, secrets, audits, access policies
• Lead incident response, postmortems, and playbooks to reduce MTTR
• Automate and secure CI/CD pipelines with SAST, DAST, image hardening
• Script your way out of toil using Python, Bash, or LLM-based agents
• Work alongside dev, platform, and product teams to ship secure, scalable systems

What We’re Looking For:

You’ve probably done a lot of this already:

• 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
• Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
• Strong in Linux internals, OS hardening, and network security
• Built and owned CI/CD pipelines, IaC, and automated releases
• Written scripts (Python/Bash) that saved your team hours
• Familiar with SOC 2, ISO 27001, threat detection, and compliance work

Bonus if you’ve:

• Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.

What It Means to Be a Flyter

• AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
• Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
• Joy in complexity: Security + infra + scale = your happy place.
• Radical candor: You give and receive sharp feedback early — and grow faster because of it.
• Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
• H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
• Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.

Perks:

▪ Unlimited leave & flexible hours

▪ Top-tier health coverage

▪ Budget for AI tools, courses

▪ International deployments

▪ ESOPs and high-agency team culture

Apply Here- https://lnk.ink/CLqe2

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

Key Responsibilities

• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.

• Creating and managing build and release pipelines with Azure DevOps and Jenkins.

• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

• Troubleshoot server performance issues & handle the continuous integration system.

• Automate infrastructure provisioning using ARM Templates and Terraform.

• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.

• Deploy and manage Infrastructure for production applications

• Configure security best practices for application and infrastructure

Essential Requirements

• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

• Strong knowledge of CI/CD principles.

• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.

• Experience of writing automation scripts with PowerShell, Bash, Python, etc.

• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

• Understanding of secure DevOps practices

Good to Have -

•Knowledge of scripting languages such as PowerShell, Bash

• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

• Strong communication skills and ability to explain protocol and processes with team and management.

• Must be able to handle multiple tasks and adapt to a constantly changing environment.

• Must have a good understanding of SDLC.

• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

• Organized, flexible, and analytical ability to solve problems creatively

Why LiftOff? 

We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.

Many on the team are serial entrepreneurs with a history of successful exits.

As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.

Must Have 

*Work experience of at least 2 years with Kubernetes.

*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.

*Well-versed with Kubectl

*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.

*Monitoring and observability

*Setting Alerts and auto-scaling

Nice to have

*Scripting and automation

*Experience with Jenkins or any sort of CI/CD pipelines

*Past experience in setting up cloud infrastructure, configurations and database backups

*Experience with Azure App Service

*Experience of setting up web socket-based applications.

*Working knowledge of Azure APIM

We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.

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

• Strong communication skills (written and verbal)
• Responsive, reliable and results oriented with the ability to execute on aggressive plans
• A background in software development, with experience of working in an agile product software development environment
• An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
• Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
• Hands on experience with Kubernetes (EKS preferred)
• Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
• Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
• Ability to work across multiple projects simultaneously
• Ability to manage and work with teams and customers across the globe

Must Have Skills

• AWS Solutions Architect and/or DevOps certification, Professional preferred
• BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
• Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
• Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
• DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
• DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
• Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
• Scripting in Shell (bash) and Extensive Python
• Agile software development
• Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
• Linux (RHEL) administration/engineering

Experience:

• Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
• Working as both an infrastructure and application migration specialist
• Identifying and documenting application requirements for network, F5, IAM, and security groups
• Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment 
• Work with Technology leadership to understand business goals and requirements
• Experience with continuous integration tools
• Experience with configuration management platforms
• Writing and diagnosing issues with complex shell scripts
• Strong practical application development experience on Linux and Windows-based systems

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills