SRE / Site Reliability Engineer

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)

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

Job Description

Role Overview:

We're looking for a passionate DevOps engineer with a minimum of 10 years’ experience across all levels, who will work closely with the development teams in Agile setup to continuously improve, support, secure, and operate our production and test environments. We believe in automating our infrastructure as much as possible and pursuing challenging problems in a sustainable and repeatable way.

Our Toolchain

• Ansible, Docker, Kubernetes, Terraform, Gitlab, Jenkins, Fastlane, New Relic, Datadog, SonarQube, IaC
• Apache, Nginx, Linux, Ubuntu, Microservices, Python, Shell, Bash, Helm
• Selenium, Jmeter, Slack, Jira, SAST, OSSEC, OWASP
• Node.JS, PHP, Golang, MySQL, MongoDB, Firebase, Redis, Elastic search,
• VPC, API Gateway, Cognito, DocumentDB, ECS, Lambda, Route53, ACM, S3, EC2, IAM

You'll need:

• Production experience with distributed/scalable systems consisting of multiple microservices and/or high-traffic web applications
• Experience with configuration management systems such as Ansible, Chef, Puppet
• Extensive knowledge of the Linux operating system
• Troubleshooting skills that range from diagnosis to solution for Dev team issues
• Knowledge of how the web works and HTTP fundamentals
• Knowledge of IP networking, DNS, load balancing, and firewalling

Bonus points, if you have:

• Experience in agile development and delivery process.
• Good knowledge of at least one programming language. TecStub uses e.g. Nodes, PHP
• Experience in containerizing applications and deployment to production (Docker, Kubernetes)
• Experience in building modern Terraform infrastructures in cloud environments (AWS, GCP, etc...)
• Experience in analysis of application and database performance monitoring tools (Newrelic, datalog, cluster control, etc..)
• Experience with SQL databases like MySQL, NoSQL, Realtime database stores like Redis, or anything in between.
• Experience being part of the engineering team that built the platform.
• Knowledge of good security practices, including network security, system hardening, secure software, and compliance.
• Familiarity with automated build pipeline / continuous integration using Gitlab and Jenkins and Kubernetes/Docker with this setup, we're deploying to production 2 times per day!

Interview Process:

The entire interview process would take approximately 10 Days.

1. HR Screening Call (15 minutes)
2. Technical Interview Round Level 1 (30 Minutes)
3. Technical Interview Round Level 2 (60 minutes)
4. Final Interview Round (60 minutes)
5. Offer

About Tecstub:

Tecstub is a renowned global provider of comprehensive digital commerce solutions for some of the world's largest enterprises. With offices in North America and Asia-Pacific, our team offers end-to-end solutions such as strategic Solution Consulting, eCommerce website and application development, and support & maintenance services that are tailored to meet our clients' unique business goals. We are dedicated to delivering excellence by working as an extended partner, providing next-generation solutions that are sustainable, scalable, and future-proof. Our passionate and driven team of professionals has over a decade of experience in the industry and is committed to helping our clients stay ahead of the competition.

We value our employees and strive to create a positive work environment that promotes work-life balance and personal growth. As part of our commitment to our team, we offer a range of benefits to ensure our employees are supported and motivated.

• A 5-day work week that promotes work-life balance and allows our employees to take care of personal responsibilities while excelling in their professional roles.
• 30 annual paid leaves that can be utilized for various personal reasons, such as regional holidays, sick leaves, or any other personal needs. We believe that taking time off is essential for overall well-being and productivity.
• Additional special leaves for birthdays, maternity and paternity events to ensure that our employees can prioritize their personal milestones without any added stress.
• Health insurance coverage of 3 lakhs sum insured for our employees, spouse, and children, to provide peace of mind and security for their health needs.
• Vouchers and gifts for important life events such as birthdays and anniversaries, to celebrate our employees' milestones and show appreciation for their contributions to the company.
• A dedicated learning and growth budget for courses and certifications, to support our employees' career aspirations and encourage professional development.
• Company outings to celebrate our successes together and promote a sense of camaraderie among our team members. We believe that celebrating achievements is an important part of building a positive work culture.

Skills

AWS, Terraform, KUBERNETES, GITHUB, APACHE, BASH, DOCKER, ANSIBLE, GIT, Microservices, UBUNTU, GITLAB, CI/CD, APACHE SERVER, NGINX, NODEJS

Client: Sony Corporation

Position: 3

Exp: 5-8Years

DevOps Engineer

Location: Bangalore

Budget: 16.5 LPA Max

Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK

What you need to have:

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL

Key Responsibilities :

Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team

Out-of-box thought process on the DevOps Automation Platform implementation

Expose various tools and technologies and do POC on integration of the these tools

Evaluate Backend API's for various DevOps tools

Perform code reviews keep in context of RASUI

Mentor the team on the various E2E integrations

Be Liaison in evangelizing the automation solution currently implemented

Bring in various DevOps best Practices/Principles and participate in adoption with various app teams

Must have:

Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience

Should possess minimum 3 years of strong experience in DevOps

Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)

Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )

2+ Experience in creating solutions and translate to the development team

Should have strong understanding of OOPs, SDLC (Agile Safe standards)

Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)

Proficient in various cloud platforms (Azure/AWS/Google cloud platform)

Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps