SRE - DevOps Technical Lead at Srijan Technologies · Remote only · 5 - 12 years · ₹20L - ₹32L / yr · Profitable · Remote only · Posted 7 Apr 2022
Kubernetes
Docker
Amazon Web Services (AWS)
JenkinsSRE - Tech Lead (DevOps):
Location: Permanent Work From Home Option
Notice: Candidates with a notice period of 30 days and less and preferred
SRE-DevOps- Tech Lead - JD:
Srijan is hiring for Site Reliability Engineering (SRE), We are looking for SRE/DevOps- Tech Lead or Sr. Tech Lead with strong automation skills and a good understanding of how to build & run secure & reliable platforms for cloud-native applications. Please find below the detailed job description and kindly go through the same for reference:-
Minimum Experience: 6+ years in DevOps/SRE
Permanent WFH option
Job Description:-
The focus of this role is to build scalable, resilient, secure infrastructure for cloud-native applications whilst automating every mundane task you could think of and build observability dashboards, set up alerts, etc to provide optics to relevant stakeholders. In a nutshell: “You are keepers of Production environments”. You must be a problem solver with the ability to multitask and come with strong collaboration and communication skills.
Key Responsibilities:-
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Proactively monitor and review application performance
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Handle on-call and emergency support
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Ensure software has good logging and diagnostics
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Create and maintain operational runbooks
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Contribute in Solution Designing and evaluating Technical Debt
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Set right practices for Well-Defined Architecture & to minimize toil.
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Own SLI, SLO configuration as per Error Budget
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Maintain production services through measuring and monitoring availability, latency, and overall system health.
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Practice sustainable incident response and blameless postmortems.
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Not be afraid to contribute changes back to the Software engineering team to improve the systems.
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Managing the delivery pipeline into production.
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Able to mentor junior members on regular basis
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Troubleshooting issues with web applications
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Understanding of security principles and best practices
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Ensuring that critical data is backed up
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Configuration of monitoring systems including infrastructure monitoring and Application Performance Monitoring systems such as New Relic.
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Ensuring that web application infrastructure is built
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Ability to act as Customer Technical Advocate and negotiate well with peers on technical fronts.
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Flexible enough to work in different Shifts for hyper business requirement
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Ability to handle multiple global clients on tech front and generate desired reports to represent health of SRE Delivery.
Skills/Experience:-
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A key skill of a SRE Tech Lead is that they have a deep knowledge of the application, the code, and how it runs, is configured, and scales. That knowledge is what makes them so valuable at also monitoring and supporting it as site reliability engineers.
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System administration, security, and networking
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The SRE Tech Lead expected to have a good understanding of system administration (Linux or Windows) and networking.
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Essential commands
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User and Group Management
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Knowledge of networking concepts (DNS, TCP/IP, and Firewalls)
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Service Configuration
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Storage Management
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Good grasp of fundamental security concepts
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Good understanding of infrastructure as code principles.
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Knowledge of a scripting language such as Bash
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Ability to configure infrastructure using a Configuration Management technology such as Puppet, Chef, or Ansible.
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Familiarity with Jenkins or any other CI/CD tool
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Proficiency in a high-level programming language such as Python or Go.
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Understanding of container technologies such as Docker, Kubernetes
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2 yrs+ hands on experience with container orchestration technologies such as ECS, EKS, AKS or Kubernetes would be beneficial.
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Use Terraform and other IaC to deploy cloud infrastructure.
Cloud technologies:-
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Experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS/Azure
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Hands-on experience using compute, networking, storage, and database AWS/Azure services
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Hands-on experience of 4 yrs+ with AWS/Azure deployment and management services
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Ability to identify and define technical requirements for an AWS/AZURE-based application
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Ability to identify which AWS/AZURE services meet a given technical requirement
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Knowledge of recommended best practices for building secure and reliable applications on the AWS/AZURE platform
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An understanding of the AWS/AZURE global infrastructure
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An understanding of network technologies as they relate to AWS/AZURE
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An understanding of security features and tools that AWS/AZURE provides and how they relate to traditional services
Shubham Vishwakarma
Full Stack Developer - Averlon
About Srijan Technologies
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KubernetesDockerJob Summary
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Key Responsibilities
- Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
- Handle production incidents, troubleshoot issues, and perform root cause analysis.
- Manage and automate infrastructure deployment and operational tasks.
- Work with CI/CD pipelines and container orchestration platforms.
- Implement monitoring, alerting, and observability solutions.
- Collaborate with development and operations teams to improve system reliability.
- Support cloud infrastructure, Linux environments, and production deployments.
- Identify recurring issues and implement preventive measures to reduce downtime.
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Amazon Web Services (AWS)TECHJAYS
THE AI REIMAGINATION COMPANY
Position DevOps Lead
Experience 10+ Years
Location Coimbatore / Hybrid
Joining Immediate / ASAP
Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability
Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps
About Techjays
At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.
Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.
We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.
The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.
You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.
This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.
Key Responsibilities
1. Cloud Infrastructure & Architecture
- Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
- Own cloud infrastructure architecture and operations across AWS or Azure.
- Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
- Establish infrastructure standards, architecture patterns, and operational best practices.
- Manage cloud resource provisioning, configuration, scaling, and environment management.
- Ensure infrastructure meets requirements for availability, performance, security, and reliability.
- Drive infrastructure improvements through automation and continuous optimization.
2. DevOps & CI/CD Engineering
- Design, implement, and maintain CI/CD pipelines for application development and deployment.
- Manage multi-stage deployment workflows across development, testing, staging, and production environments.
- Implement automated build, testing, deployment, and release processes.
- Establish reusable pipeline templates, deployment standards, and approval workflows.
- Manage deployment strategies, including rolling, blue/green, and canary deployments.
- Implement rollback mechanisms and ensure reliable production releases.
- Integrate CI/CD workflows with source control, artifact repositories, and container registries.
- Continuously improve deployment efficiency, release reliability, and engineering productivity.
3. Containerization & Kubernetes Management
- Architect and manage containerized application environments using Docker and Kubernetes.
- Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
- Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
- Work with Helm charts for application packaging and deployment.
- Optimize container resource utilization, application scaling, and cluster performance.
- Troubleshoot complex container and Kubernetes-related production issues.
- Establish best practices for container security and workload reliability.
4. Infrastructure as Code & Automation
- Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
- Automate infrastructure provisioning, configuration management, and environment setup.
- Develop reusable infrastructure modules and deployment automation workflows.
- Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
- Reduce manual intervention through standardization and automation.
- Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.
5. Monitoring, Reliability & Production Operations
- Establish centralized monitoring, logging, alerting, and observability across cloud environments.
- Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
- Monitor application availability, infrastructure health, resource utilization, and system performance.
- Lead troubleshooting and resolution of complex production incidents.
- Conduct root cause analysis and implement permanent corrective actions.
- Establish operational practices for backup, disaster recovery, availability, and business continuity.
- Improve system reliability through proactive monitoring and performance optimization.
6. Cloud Security & Governance
- Implement cloud security best practices across infrastructure and application environments.
- Manage IAM, RBAC, access controls, service identities, and secrets management.
- Secure cloud networking, virtual networks, firewalls, and infrastructure access.
- Implement container security and infrastructure hardening practices.
- Ensure cloud environments follow organizational security and compliance requirements.
- Identify infrastructure vulnerabilities and coordinate remediation activities.
- Establish secure deployment and configuration management practices.
7. AI Infrastructure & Engineering Collaboration
- Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
- Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
- Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
- Support the infrastructure requirements of AI applications across development, testing, and production environments.
- Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
- Evaluate infrastructure technologies and tools that support evolving AI application requirements.
8. Technical Leadership & Team Development
- Provide technical leadership to DevOps engineers and guide implementation across projects.
- Establish engineering standards, infrastructure best practices, and operational procedures.
- Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
- Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
- Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
- Drive continuous improvement across DevOps processes, tools, and engineering practices.
Required Technical Skills & Experience
1. Cloud Platforms
- 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
- Practical experience designing, deploying, and operating production-grade cloud infrastructure.
AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.
Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.
Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.
2. DevOps & CI/CD
- Strong experience designing and maintaining CI/CD pipelines.
- Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
- Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
- Experience implementing deployment automation and rollback strategies.
- Strong understanding of Git workflows and version control practices.
3. Containers & Kubernetes
- Strong hands-on experience with Docker and Kubernetes.
- Practical experience managing EKS or AKS environments.
- Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
- Experience with Helm and container orchestration.
- Ability to troubleshoot production container and Kubernetes environments.
4. Infrastructure as Code & Scripting
- Strong experience with Terraform and Infrastructure as Code practices.
- Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
- Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
- Strong understanding of Linux administration and system troubleshooting.
5. Monitoring & Reliability Engineering
- Experience implementing infrastructure and application monitoring.
- Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
- Understanding of incident management, root cause analysis, performance optimization, and system availability.
- Experience establishing alerting, operational dashboards, and reliability practices.
6. AI/ML Infrastructure Exposure
- Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
- Understanding of infrastructure requirements for deploying and operating AI-powered applications.
- Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.
Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.
Preferred Skills
- Experience implementing GitOps workflows using Argo CD or similar tools.
- Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
- Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
- Experience with cloud cost optimization and FinOps practices.
- Familiarity with AI/ML infrastructure and production GenAI applications.
- Experience with Python-based automation and infrastructure tooling.
- Relevant AWS, Azure, Kubernetes, or Terraform certifications.
What We're Looking For Beyond Skills
- Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
- Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
- Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
- System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
- Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
- Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
- Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
- AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
- Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.
Typical Technology Environment
AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products
What We Offer
- Competitive compensation aligned with experience and expertise.
- Coimbatore office-based work environment with hybrid flexibility.
- Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
- Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
- Paid holidays and flexible time off.
- Medical insurance covering self and family, up to ₹4 lakh per person.
- Opportunities to influence infrastructure architecture and engineering practices.
- A culture that values clarity, integrity, ownership, and continuous growth.
Join Techjays
If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.
Amazon Web Services (AWS)Job Summary:
We are looking for an experienced DevOps Engineer with strong expertise in AWS Cloud, Site Reliability Engineering (SRE), automation, and CI/CD practices. The candidate should have experience in managing cloud infrastructure, improving system reliability, monitoring applications, and handling production environments.
Mandatory Skills:
- Strong experience in AWS Cloud Services (EC2, S3, IAM, VPC, EKS, CloudWatch).
- Hands-on experience in DevOps and Site Reliability Engineering (SRE).
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
- Infrastructure as Code (IaC) using Terraform or CloudFormation.
- Strong scripting knowledge in Python, Shell, or Bash.
- Experience with Docker and Kubernetes.
- Monitoring and observability tools such as Prometheus, Grafana, ELK, Datadog, or CloudWatch.
- Experience in production support, incident management, troubleshooting, and RCA.
- Knowledge of high availability, scalability, performance optimization, and system reliability.
DockerKubernetesWe are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.
### Key Responsibilities
* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.
* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.
* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.
* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.
* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.
* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.
* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.
* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.
### Mandatory Skills
* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.
* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.
* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.
* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.
* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.
* Experience with GitOps practices and tools such as Argo CD or Flux.
* Strong understanding of Git, branching strategies, release management, and deployment automation.
* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.
* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.
* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.
* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.
independently.
### Preferred Skills
* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.
* Experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk.
* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.
* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.
* Experience with enterprise cloud security, IAM, network security, and infrastructure
Amazon Web Services (AWS)Site reliability engineer - Experience: 5+ Years
Location: mumbai
Mandatory Skills: SRE (site reliability engineering) , aws cloud , and devops
KubernetesRequired Skills:
- Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
- Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
- Strong knowledge of AWS, Azure, or GCP cloud platforms.
- Experience with Docker, Kubernetes, and container orchestration.
- Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
- Good scripting skills in Python, Bash, or Shell scripting.
- Understanding of SLI, SLO, SLA, error budgets, and service reliability.
- Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
- Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
- Experience with Linux/Unix administration and networking fundamentals.
- Familiarity with Agile methodologies, Git, and automated deployment practices.
Amazon Web Services (AWS)
GitKubernetesWe're looking for a Site Reliability Engineer
- Ensure stability and uptime of applications
- Drive and maintain compliance of applications
- Automate manual and repetitive tasks
Key Requirements
- Extensive experience with Secrets Management, Vulnerability Patching, Certificate Lifecycle, Software/Application upgrades, Tech Resiliency
- Extensive experience addressing risk control metrics such as password rotations, obsolescence, user access management
- Strong background in automating manual processes
- Experiene working in monitoring and observability tools e.g. Splunk, Grafana, CloudWatch
- Building, deploying, and maintaining AWS components using CloudFormation e.g. EC2, S3, IAM, Lambdas, SQS, SNS, RDS, DynamoDB
- Strong understanding of Secure by design principles
- GitOps and CI/CD experience e.g. GitHub, Bitbucket, GitHub Actions, Bamboo, ArgoCD
- Experience performing cleanup/decommissioning activities
- Capability to perform L1/L2 on-call support functions
Specialisations
- Relevant working Experience in Asset Management or Capital Markets
Experience & Other
- Strong problem-solving and communication skills
- Strong Risk Management mindset
- Strong understanding of Change, Incident, and Problem Management
- Ability to collaborate with both technical and non-technical stakeholders globally
- Ability to delivery quality output independently with minimal oversight
Job Summary:
We are looking for an experienced SRE DevOps Engineer with strong hands-on experience in cloud infrastructure, container orchestration, infrastructure automation, and CI/CD pipelines. The candidate should have expertise in Terraform, Kubernetes, Docker, scripting, and cloud platforms to build, deploy, and maintain scalable and reliable infrastructure.
Key Responsibilities:
Design, implement, and maintain CI/CD pipelines for application deployment.
Manage and automate infrastructure provisioning using Terraform.
Deploy, configure, and manage containerized applications using Docker and Kubernetes.
Work with cloud platforms such as AWS, Azure, or GCP.
Develop automation scripts using Python, Bash, or Shell scripting.
Implement Infrastructure as Code (IaC) practices for consistent and repeatable deployments.
Configure monitoring and observability tools to track system performance and availability.
Optimize infrastructure performance, scalability, and resource utilization.
Collaborate with development teams to improve deployment workflows and operational efficiency.
Mandatory Skills:
SRE / DevOps Engineering
Terraform and Infrastructure as Code (IaC)
Kubernetes
Docker and containerization
CI/CD tools and pipeline automation
Job Summary
We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.
Key Responsibilities
- Monitor application and infrastructure performance to ensure high availability and reliability.
- Manage production incidents, troubleshooting, root cause analysis, and resolution.
- Implement and maintain CI/CD pipelines for automated deployments.
- Manage cloud infrastructure on AWS, Azure, or GCP.
- Automate repetitive operational tasks using Python, Shell, or Bash scripting.
- Work with Docker, Kubernetes, and container orchestration technologies.
- Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
- Manage infrastructure as code using Terraform or Ansible.
- Define and monitor SLIs, SLOs, and SLAs.
- Collaborate with development, infrastructure, and support teams to improve system reliability.
- Participate in on-call support and disaster recovery activities.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps and Production Support
- Linux/Unix Administration
- Cloud Platforms: AWS, Azure, or GCP
- CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
- Scripting: Python, Shell, or Bash
- Docker and Kubernetes
- Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
- Incident Management and Root Cause Analysis
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon