DevOps Engineer-SDE III

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Principal DevOps Engineer

Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.

We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.

Core Technology Stack

AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI

Key Responsibilities:

● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.

● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.

● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.

● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.

● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.

● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.

● Identify opportunities to leverage AI to automate operational and DevOps workflows.

● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.

● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.

● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.

● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.

● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.

● Define best practices and governance for the safe and effective use of AI across DevOps processes.

● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.

Requirements:

● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.

● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).

● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).

● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.

● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.

● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.

● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.

● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).

● Hands-on experience with on-call processes and incident management frameworks.

Preferred Qualifications:

● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.

● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.

● Experience with multi-tenant SaaS architectures and tenant isolation strategies.

● Knowledge of FinOps principles and AWS cost management tooling.

● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.

Core Competencies:

● Strategic Thinking – ability to translate business goals into scalable technical architecture.

● Operational Excellence – strong bias for reliability, automation, and continuous improvement.

● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.

● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.

● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.

Why should we connect?

We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.

At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.

If you are passionate about cybersecurity just as we are, we would love to connect and share ideas

JOB DETAILS:

* Job Title: Lead I - Azure, Terraform, GitLab CI 

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 3-5 years

* Location: Trivandrum/Pune

Job Description

Job Title: DevOps Engineer

Experience: 4–8 Years 

Location: Trivandrum & Pune 

Job Type: Full-Time

Mandatory skills: Azure, Terraform, GitLab CI, Splunk

Job Description

We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.

Key Responsibilities

• Design, manage, and automate Azure cloud infrastructure using Terraform.
• Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
• Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
• Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
• Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
• Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
• Ensure infrastructure security, compliance, and scalability best practices are followed.

Mandatory Skills

Candidates must have hands-on experience with the following technologies:

• Azure – Cloud infrastructure management and deployment
• Terraform – Infrastructure as Code for scalable provisioning
• GitLab CI – Pipeline development, automation, and integration
• Splunk – Monitoring, logging, and troubleshooting production systems

Preferred Skills

• Experience with Harness (for CI/CD)
• Familiarity with Azure Monitor and Dynatrace
• Scripting proficiency in Python, Bash, or PowerShell
• Understanding of DevOps best practices, containerization, and microservices architecture
• Exposure to Agile and collaborative development environments

Skills Summary

Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell

Skills: Azure, Splunk, Terraform, Gitlab Ci

******

Notice period - 0 to 15days only

Job stability is mandatory

Location: Trivandrum/Pune

Objectives of this role

•Building and implementing new development tools and infrastructure

•Understanding the needs of stakeholders and conveying them to developers

•Working on ways to automate and improve development and release processes

•Testing and examining code written by others and analysing results

•Ensuring that systems are safe and secure against cybersecurity threats

•Identifying technical problems and developing software updates and fixes

•Working with software developers and software engineers to ensure that development follows established processes and works as intended

•Planning projects and being involved in project management decisions

Responsibilities:

• Set up CI/CD pipelines for automated deployment and delivery

•Setup and management of new and Existing cloud-based Kubernetes cluster services

•Write Ad/Hoc Bash/Python scripts to automate certain operational tasks.

•Designing, maintenance and management of tools for automation of different operational processes.

•Provision of critical system security by leveraging best practices and prolific cloud security solutions.

•System troubleshooting and problem resolution across various application domains and platforms

•Support/maintain development, UAT and production infrastructure.

•Providing recommendations for architecture and process improvements.

•Respond to L2 calls and emails.

•Help administer monitoring systems, alerting, log management, and other IT infrastructure systems.

•Perform root cause analysis of production errors and resolve technical issues

•Design procedures for system troubleshooting and maintenance

Technical Skill Requirements:

•Experience in a DevOps role in AWS/OCI cloud environment.

•Must have experience with CI/CD Pipelines and hands-on experience with DevOps tools such as, Jenkins, Git, Docker, Kubernetes, Ansible, etc.

•Strong knowledge in Terraform for multi-stack cloud infrastructure provisioning.

•Strong knowledge in OCI/AWS-based Kubernetes service management.

•Must have experience with Python/Bash as a scripting language.

•Good knowledge in software debugging, web applications and services (Apache, Nginx, HAProxy)

•Must have knowledge in monitoring setup with Prometheus, Alertmanager, Grafana, Thanos, Loki, Fluentbit, etc.

Good To Have Skills

•PostgreSQL, MySQL, MongoDB, Redis, Keycloak.

•Migrating application from one cloud to another; OCI certifications

•Test Driven Development

Soft Skill Requirements:

•Able to learn new skills and technology quickly.

•Energetic with amazing customer service skills and a team-oriented approach.

•Strong verbal and written communication skills

• Development/Technical support experience in preferably DevOps.
• Looking for an engineer to be part of GitHub Actions support. Experience with CI/CD tools like Bamboo, Harness, Ansible, Salt Scripting.
• Hands-on expertise with GitHub Actions and CICD Tools like Bamboo, Harness, CI/CD Pipeline stages, Build Tools, SonarQube, Artifactory, Nuget, Proget Veracode, LaunchDarkly, GitHub/Bitbucket repos, Monitoring tools.
• Handelling Xmatters,Techlines,Incidents
• Strong Scripting skills (PowerShell, Python, Bash/Shell Scripting) for Implementing automation scripts and Tools to streamline administrative tasks and improve efficiency.
• An Atlassian Tools Administrator is responsible for managing and maintaining Atlassian products such as Jira, Confluence, Bitbucket, and Bamboo.
• Expertise in Bitbucket, GitHub for version control and collaboration global level.
• Good experience on Linux/Windows systems activities, Databases.
• Aware of SLA and Error concepts and their implementations; provide support and participate in Incident management & Jira Stories. Continuously Monitoring system performance and availability, and responding to incidents promptly to minimize downtime.
• Well-versed with Observability tool as Splunk for Monitoring, alerting and logging solutions to identify and address potential issues, especially in infrastructure.
• Expert with Troubleshooting production issues and bugs. Identifying and resolving issues in production environments.
• Experience in providing 24x5 support.
• GitHub Actions
• Atlassian Tools (Bamboo, Bitbucket, Jira, Confluence)
• Build Tools (Maven, Gradle, MS Build, NodeJS)
• SonarQube, Veracode.
• Nexus, JFrog, Nuget, Proget
• Harness
• Salt Services, Ansible
• PowerShell, Shell scripting
• Splunk
• Linux, Windows

Infrastructure as Code (IaC):

• Design, implement, and maintain infrastructure as code using tools like Terraform, CloudFormation, or similar.
• Automate infrastructure provisioning and configuration across multiple environments (development, staging, production).

CI/CD Pipelines:

• Design, build, and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, CircleCI, or GitHub Actions.
• Implement automated testing, build, and deployment processes.
• Optimize pipelines for speed, reliability, and security.

Cloud Infrastructure:

• Manage and optimize cloud infrastructure on platforms like AWS, Azure, or GCP.
• Monitor and troubleshoot cloud infrastructure performance and availability.
• Implement security best practices for cloud environments.
• Implement cost optimization strategies for cloud resources.

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

• Engineering in computer science
• 3-5 years of experience in setup and management of Kubernetes infrastructure
• Expert level skills in analytical & problem solving
• Ability to communicate clearly in English

• Microsoft Azure
• Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
• Linux internals & services
• Docker, Docker Registry
• NGINX, Load Balancing, Firewall, Security, PKI
• Shell & Awk Script, Azure Templates & scripting, Python Scripting
• Knowledge of NoSQL Databases