Sr. DevOps Engineer

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

Required Skills

● Experience: Minimum of 5 years of professional experience in a DevOps Engineer

role

● Cloud Proficiency: Proven experience with at least one major cloud provider (AWS,

Azure, or GCP).

● Scripting & Programming: Strong scripting skills in languages such as Bash, Python,

or Go.

● IaC Tools: Hands-on experience with Terraform.

● Container Technology: Expertise in Docker and Kubernetes.

● CI/CD Tools: Proficient with CI/CD platforms like Jenkins, GitLab CI, or Travis CI.

● Configuration Management: Experience with configuration management tools like

Ansible, Chef, or Puppet.

● Version Control: Strong knowledge of Git and branching strategies.

● Problem-Solving:Excellent problem-solving abilities and a commitment to automation

and continuous improvement.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

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

Job Description:

• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,

Observability and Enabling the SRE activities

• Guide operations support (setup, configuration, management, troubleshooting) of

digital platforms and applications

• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.

• Deploy, configure, and manage SaaS and PaaS cloud platform and applications

• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)

• DevOps programming: writing scripts, building operations/server instance/app/DB

monitoring tools Set up / manage continuous build and dev project management

environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,

systems, and application architectures

• Collaborating with cross-functional teams to ensure secure product development

• Disaster recovery, network forensics analysis, and pen-testing solutions

• Planning, researching, and developing security policies, standards, and procedures

• Awareness training of the workforce on information security standards, policies, and

best practices

• Installation and use of firewalls, data encryption and other security products and

procedures

• Maturity in understanding compliance, policy and cloud governance and ability to

identify and execute automation.

• At Wesco, we discuss more about solutions than problems. We celebrate innovation

and creativity.

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

What you will do

We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one. 

• Build and lead an agile engineering team
• Work closely with Founder on product development
• Collaborate with operations team to understand customer pain points and solve interesting problems
• Code, test, ship - manage the entire application cycle
• Build libraries and documentation for future references
• Research and develop best practices and tools to enable delivery of features
• Set up capabilities to track and report business and user metrics
• Design and improve architecture to ensure scalability
  
  

Requirements

• Proven experience at scaling tech companies, preferably in commerce or social network
• Keen to innovate, open-minded and collaborative
• Able to interpret product needs and suggest appropriate solutions
• Have led a team, also able to code hands-on
• Strong communication skills
• Strong work ethic: responsible, responsive, and detail-oriented.
  
  

Technologies we use
Go, Flutter, AWS, Google Cloud

Do Your Thng 

https://doyourthng.com/ 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Role: DevOps 

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Job Description:

We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.

Required Experience

• Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
• Experience working with Continuous Integration and Continuous Deployment Pipeline
• Exposure to managing LAMP stack-based applications
• Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
• Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
• Ability to take ownership on the carried-out work
• Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
• Experience deploying Docker based applications
• Experience with AWS services.
• Excellent verbal and written communication skills

Desired Experience

• Exposure to AWS, google cloud and Azure Cloud
• Experience in Jenkins, Ansible, Terraform
• Build Monitoring tools and respond to alarms triggered in production environment
• Willingness to quickly become a member of the team and to do what it takes to get the job done
• Ability to work well in a fast-paced environment and listen and learn from stakeholders
• Demonstrate a strong work ethic and incorporate company values in your everyday work.