Build and Release 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.

About the Company

We are building an AI-driven platform focused on redefining how individuals explore and understand global markets. We are building a modern analytics layer that simplifies complex financial data into intuitive, structured insights.

Our approach combines data science, AI, and systematic frameworks to bring clarity, transparency, and accessibility to market intelligence.

• Mission: To build trustworthy, data-driven platforms that simplify complex markets and empower users to make informed decisions.
• Values: Customer-centricity, ownership, integrity, and continuous improvement.
• Culture: Collaborative, inclusive, experiment-driven, and supportive of professional growth.
• Why join: Opportunity to work on production SaaS and AI features, take high ownership, and make a visible impact on product direction.

About the Role

We are looking for a DevOps Engineer to manage deployments, cloud infrastructure, and system reliability while ensuring secure and scalable systems.

You will work on a live SaaS product and upcoming AI-driven modules, contributing directly to production systems.

Key Responsibilities

DevOps (Core):

• Set up and manage CI/CD pipelines (GitHub Actions preferred)
• Deploy and manage applications on AWS or similar cloud platforms
• Manage Linux-based servers and environments
• Ensure high availability, uptime, and performance
• Automate deployment workflows

Security (Integrated):

• Implement secure deployment practices
• Manage access control, secrets, and credentials
• Monitor logs and system activity
• Identify and fix basic vulnerabilities
• Support audit/log requirements (future compliance readiness)

Requirements

• 1–3 years of experience in DevOps / Cloud / System Administration
• Strong hands-on experience with Linux systems
• Experience with AWS or any cloud platform
• Experience with CI/CD tools (GitHub Actions preferred)
• Understanding of networking basics (DNS, HTTP/HTTPS, ports)
• Experience with Git & version control

Good to Have

• Docker / containerization
• Experience with Python-based deployments
• Basic knowledge of databases (PostgreSQL or similar)
• Monitoring/logging tools
• Basic understanding of security concepts (OWASP, API security)

Location: Remote

Job Description :

• Strong hands-on knowledge on Azure DevOps.
• Mandatory Skills required :Azure Devops,docker,Kubernetes
• Skills required : Terraform,GIT,Jenkins,CI/CD,Pipelines,YAML,Scripting,Shell Scripting,Python, Gradle, Maven
• Require only developer experience profiles, and Admin roles are not required

• 3+ years of relevant experience
• 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
• Experience in setting CI/CD pipelines from scratch
• Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
• Understanding of common security issues

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

• 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
• Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
• Strong scripting language knowledge, such as Python, Shell
• Experience and a deep understanding of Kubernetes.
• Experience in Continuous Integration and Delivery.
• Work collaboratively with software engineers to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux-based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

This person MUST have:

• B.E Computer Science or equivalent
• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
• Experience configuring/maintaining one monitoring tool.
• Excellent verbal & written communication skills.
• Candidates with certifications - AWS, GCP, CKA, etc will be preferred
• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..

Location:

• Remotely, anywhere in India

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.

Job Requirements

• Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
• Experience with AWS Cloud Formation and AWS CLI is essential
• The ability to work to project deadlines efficiently and with minimum guidance
• A positive attitude and enjoys working within a global distributed team

Skills

• Highly proficient working with CI/CD and automating infrastructure provisioning
• Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
• Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
• Hands on experience with Docker and container orchestration
• Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
• An interest in healthcare and medical sectors
• Technical degree with 4 plus years’ infrastructure and automation experience