Amazon Web Services (AWS)
Python
Kubernetes
Machine Learning (ML)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)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Amura Health
About
Good health changes everything
Amura helps people reverse their chronic diseases using Natural Molecule Therapy (NMT) protocols built using evidence-based science.
Over the last five years, we successfully helped thousands of people to become healthier than they were years ago, slowed down their ageing, made them happier and more productive.
Tech stack
React.js
React Native
NodeJS (Node.js)
ExpressAmazon Web Services (AWS)Company video
Candid answers by the company
Amura helps people reverse their chronic diseases using Natural Molecule Therapy (NMT) protocols built using evidence-based science.
Product showcase
Photos
Connect with the team
Company social profiles
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Amazon Web Services (AWS)KubernetesDevOps Engineer
AWS Infrastructure, CI/CD & Production Operations
Mumbai (On-site) | Full-time | 2-4 years
About the role:
Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a DevOps Engineer who will own day-to-day cloud infrastructure, deployment automation, and production operations across active customer engagements.
The mandatory requirement for this role is hands-on production experience on AWS, with infrastructure as code, container orchestration, and CI/CD pipelines owned end to end on at least one live customer workload. The role is hands-on. Expect to operate Kubernetes clusters, build CI/CD pipelines, automate environment provisioning, manage TLS and DNS, set up observability, and partner with backend and AI engineers to ship reliably. A typical week includes a Terraform refactor, a deployment pipeline build for a new service, an incident response on a production cluster, and a cost review.
Responsibilities:
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- Infrastructure as code: Write and maintain Terraform or Pulumi modules. Drive consistency across environments and tenants through IaC rather than manual configuration.
- Kubernetes and containers: Operate production EKS clusters. Manage Helm charts, Ingress, autoscaling, secrets, and workload isolation.
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- TLS, DNS, and CDN automation: Automate domain provisioning, TLS issuance (Let's Encrypt, cert-manager, ACM), and CDN configuration (CloudFront, Cloudflare).
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- Secrets and security: Manage secrets through Vault, AWS Secrets Manager, or KMS. Apply least-privilege IAM and review access regularly.
- Cost monitoring: Track and optimise AWS spend across environments. Surface waste and propose remediations.
Requirements:
- Hands-on AWS production experience (mandatory). Must have personally operated production workloads on AWS, with responsibility for IaC, deployments, and incident response on at least one live customer or internal-platform deployment. POCs and lab environments do not qualify.
- 2 to 4 years of hands-on DevOps or infrastructure experience. Candidates with slightly less experience but strong demonstrated ownership are welcome to apply.
- AWS depth. Hands-on with EC2, S3, IAM, VPC, EKS or ECS, RDS, CloudFront, and Route53. Working knowledge of CloudWatch and AWS cost tooling.
- Kubernetes in production. Hands-on operation of EKS or equivalent. Comfort with Helm, Ingress controllers, autoscaling, and resource quotas.
- Infrastructure as code. Strong with Terraform (preferred) or Pulumi. Modular code, state management, and review discipline.
- CI/CD pipelines. Production experience with GitHub Actions, GitLab CI, or equivalent. Comfort with multi-environment pipelines and release strategies.
- Scripting and automation. Strong Bash and Python (or Go) for tooling. Linux fluency at the command line.
- Observability stack. Hands-on with Prometheus, Grafana, ELK or Loki, and at least one APM tool (Datadog, New Relic, or equivalent).
- Networking, TLS, and security fundamentals. Comfortable with DNS, TLS certificate lifecycle, VPC peering, and security groups.
Nice to have: multi-tenant SaaS infrastructure experience; service mesh (Istio, Linkerd); GitOps (ArgoCD, Flux); sandboxed execution environments (Firecracker, gVisor); exposure to platform engineering or developer-platform teams.
Amazon Web Services (AWS)Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
Salesforce DevOps/Release Engineer
Resource type - Salesforce DevOps/Release Engineer
Experience - 5 to 8 years
Norms - PF & UAN mandatory
Resource Availability - Immediate or Joining time in less than 15 days
Job - Remote
Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)
Required Experience:
- 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
- Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
- Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
- Solid understanding of Salesforce architecture, metadata, and development lifecycle.
- Familiarity with version control systems (e.g., Git) and agile methodologies
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
- Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
- Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
- Monitor, troubleshoot, and resolve deployment and release issues.
- Maintain documentation for deployment processes and provide training on best practices.
- Stay updated on the latest Salesforce DevOps tools, features, and best practices.
Technical Skills:
- Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
- CI/CDBuilding and maintaining pipelines, automation, and release management
- Version ControlProficiency with Git and related workflows
- Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
- Scripting
- Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
- Communication
- Strong written and verbal communication skills
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Certifications:
Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.
Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.
Experience with Salesforce DX and deployment strategies for large-scale orgs.
Kubernetes
grafanaAbout Kiru:
Kiru is a forward-thinking payments startup on a mission to revolutionise the digital payments landscape in Africa and beyond. Our innovative solutions will reshape how people transact, making payments safer, faster, and more accessible. Join us on our journey to redefine the future of payments.
Position Overview:
We are searching for a highly skilled and motivated DevOps Engineer to join our dynamic team in Pune, India. As a DevOps Engineer at Kiru, you will play a critical role in ensuring our payment infrastructure's reliability, scalability, and security.
Key Responsibilities:
- Utilize your expertise in technology infrastructure configuration to manage and automate infrastructure effectively.
- Collaborate with cross-functional teams, including Software Developers and technology management, to design and implement robust and efficient DevOps solutions.
- Configure and maintain a secure backend environment focusing on network isolation and VPN access.
- Implement and manage monitoring solutions like ZipKin, Jaeger, New Relic, or DataDog and visualisation and alerting solutions like Prometheus and Grafana.
- Work closely with developers to instrument code for visualisation and alerts, ensuring system performance and stability.
- Contribute to the continuous improvement of development and deployment pipelines.
- Collaborate on the selection and implementation of appropriate DevOps tools and technologies.
- Troubleshoot and resolve infrastructure and deployment issues promptly to minimize downtime.
- Stay up-to-date with emerging DevOps trends and best practices.
- Create and maintain comprehensive documentation related to DevOps processes and configurations.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a DevOps Engineer or in a similar role.
- Experience configuring infrastructure on Microsoft Azure
- Experience with Kubernetes as a container orchestration technology
- Experience with Terraform and Azure ARM or Bicep templates for infrastructure provisioning and management.
- Experience configuring and maintaining secure backend environments, including network isolation and VPN access.
- Proficiency in setting up and managing monitoring and visualization tools such as ZipKin, Jaeger, New Relic, DataDog, Prometheus, and Grafana.
- Ability to collaborate effectively with developers to instrument code for visualization and alerts.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and teamwork skills.
- A proactive and self-motivated approach to work.
Desired Skills:
- Experience with Azure Kubernetes Services and managing identities across Azure services.
- Previous experience in a financial or payment systems environment.
About Kiru:
At Kiru, we believe that success is achieved through collaboration. We recognise that every team member has a vital role to play, and it's the partnerships we build within our organisation that drive our customers' success and our growth as a business.
We are more than just a team; we are a close-knit partnership. By bringing together diverse talents and fostering powerful collaborations, we innovate, share knowledge, and continually learn from one another. We take pride in our daily achievements but never stop challenging ourselves and supporting each other. Together, we reach new heights and envision a brighter future.
Regardless of your career journey, we provide the guidance and resources you need to thrive. You will have everything required to excel through training programs, mentorship, and ongoing support. At Kiru, your success is our success, and that success matters because we are the essential partners for the world's most critical businesses. These companies manufacture, transport, and supply the world's essential goods.
Equal Opportunities and Accommodations Statement:
Kiru is committed to fostering a workplace and global community where inclusion is celebrated and where you can bring your authentic selfbecause that's who we're interested in. If you are interested in this role but don't meet every qualification in the job description, don't hesitate to apply. We are an equal opportunity employer.
Amazon Web Services (AWS)Bito is a startup that is using AI (ChatGPT, OpenAI, etc) to create game-changing productivity experiences for software developers in their IDE and CLI. Already, over 100,000 developers are using Bito to increase their productivity by 31% and performing more than 1 million AI requests per week.
Our founders have previously started, built, and taken a company public (NASDAQ: PUBM), worth well over $1B. We are looking to take our learnings, learn a lot along with you, and do something more exciting this time. This journey will be incredibly rewarding, and is incredibly difficult!
We are building this company with a fully remote approach, with our main teams for time zone management in the US and in India. The founders happen to be in Silicon Valley and India.
We are hiring a DevOps Engineer to join our team.
Responsibilities:
- Collaborate with the development team to design, develop, and implement Java-based applications
- Perform analysis and provide recommendations for Cloud deployments and identify opportunities for efficiency and cost reduction
- Build and maintain clusters for various technologies such as Aerospike, Elasticsearch, RDS, Hadoop, etc
- Develop and maintain continuous integration (CI) and continuous delivery (CD) frameworks
- Provide architectural design and practical guidance to software development teams to improve resilience, efficiency, performance, and costs
- Evaluate and define/modify configuration management strategies and processes using Ansible
- Collaborate with DevOps engineers to coordinate work efforts and enhance team efficiency
- Take on leadership responsibilities to influence the direction, schedule, and prioritization of the automation effort
Requirements:
- Minimum 4+ years of relevant work experience in a DevOps role
- At least 3+ years of experience in designing and implementing infrastructure as code within the AWS/GCP/Azure ecosystem
- Expert knowledge of any cloud core services, big data managed services, Ansible, Docker, Terraform/CloudFormation, Amazon ECS/Kubernetes, Jenkins, and Nginx
- Expert proficiency in at least two scripting/programming languages such as Bash, Perl, Python, Go, Ruby, etc.
- Mastery in configuration automation tool sets such as Ansible, Chef, etc
- Proficiency with Jira, Confluence, and Git toolset
- Experience with automation tools for monitoring and alerts such as Nagios, Grafana, Graphite, Cloudwatch, New Relic, etc
- Proven ability to manage and prioritize multiple diverse projects simultaneously
What do we offer:
At Bito, we strive to create a supportive and rewarding work environment that enables our employees to thrive. Join a dynamic team at the forefront of generative AI technology.
· Work from anywhere
· Flexible work timings
· Competitive compensation, including stock options
· A chance to work in the exciting generative AI space
· Quarterly team offsite events
Implementation Engineer
Implementation Engineer Duties and Responsibilities
- Understanding requirements from internal consumers about program functionality.
- Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
- Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
- Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
- Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
- Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
- Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
- Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
- Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
- Install, configure, monitor and upgrade applications during installation/upgrade activities.
- Assisting team to identify network issue and help them with respective resolutions.
- Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
- Managing JIRA and tracking tickets to closure and follow-ups with team members.
- Troubleshoot software issues
- Provide on-call support as necessary
Implementation Engineer Requirements and Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field
- Experience working with
- Linux & Windows Operating system
- Working on shell and bat scripts
- SIP/ISUP based solutions
- deploying / debugging Java, C++ based solutions.
- MySQL to install, backup, update and retrieve data
- Front-end or back-end software development for LINUX
- database management and security a plus
- Very good debugging and analytical skills
- Good Communication skills
Docker
JenkinsKubernetesHammoq is an exponentially growing Startup in US and UK.
Design and implement secure automation solutions for development, testing, and production environments
-
Build and deploy automation, monitoring, and analysis solutions
-
Manage our continuous integration and delivery pipeline to maximize efficiency
-
Implement industry best practices for system hardening and configuration management
-
Secure, scale, and manage Linux virtual environments
-
Develop and maintain solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring
-
Continuously evaluate existing systems with industry standards, and make recommendations for improvement
Desired Skills & Experiences
-
Bachelor’s or Master's degree in Computer Science, Engineering, or related field
-
Understanding of system administration in Linux environments
-
Strong knowledge of configuration management tools
-
Familiarity with continuous integration tools such as Jenkins, Travis CI, Circle CI
-
Proficiency in scripting languages including Bash, Python, and JavaScript
-
Strong communication and documentation skills
-
An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
-
Excellent judgment, analytical thinking, and problem-solving skills
-
Full understanding of software development lifecycle best practices
-
Self-motivated individual that possesses excellent time management and organizational skills
In PM's Words
Bash scripting, Containerd(or docker), Linux Operating system basics, kubernetes, git, Jenkins ( or any pipeline management), GCP ( or idea on any cloud technology)
Linux is major..most of the people are coming from Windows.. we need Linux.. and if windows is also there it will be added advantage
There is utmost certainilty that you will be working with an amazing team...
DockerKubernetesRequirements and Qualifications
- Bachelor’s degree in Computer Science Engineering or in a related field
- 4+ years of experience
- Excellent analytical and problem-solving skills
- Strong knowledge of Linux systems and internals
- Programming experience in Python/Shell scripting
- Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
- Experience in containerization (Docker) and container orchestration (Kubernetes)
- Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
- Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
- Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
- Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
- Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
- Good communication & collaboration skills and attention to details
- Participation in rotating on-call duties
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon