
AI Automation & Web Systems Specialist
Salary: Up to ₹50,000 per month
Job Type: Full-time
Work Mode: [Remote / Office / Hybrid]
Job Overview
We are looking for a technically skilled and resourceful professional to support website systems, automation workflows, reporting, and digital operations.
The ideal candidate should be comfortable inspecting code, troubleshooting technical issues, working with automation tools, and using AI platforms such as ChatGPT and Claude to research, debug, improve, and complete technical tasks efficiently.
Detailed project and client information will be shared only with shortlisted candidates.
Key Responsibilities
- Manage and troubleshoot websites and digital systems.
- Inspect and modify existing code when required.
- Build, test, and maintain automation workflows.
- Use ChatGPT, Claude, and other AI tools for coding, debugging, research, and documentation.
- Work with data, spreadsheets, dashboards, and reports.
- Test completed work and identify technical issues.
- Support integrations between different online platforms.
- Research solutions independently and implement them carefully.
- Maintain confidentiality regarding all company, client, and project information.
Required Skills
- Good understanding of WordPress, websites, and hosting.
- Basic to intermediate knowledge of HTML, CSS, JavaScript, PHP, or databases.
- Experience with automation tools, APIs, or webhooks is preferred.
- Strong ability to use ChatGPT, Claude, or similar AI tools productively.
- Good troubleshooting and problem-solving skills.
- Strong Excel or Google Sheets knowledge.
- Good written English and attention to detail.
- Ability to learn new systems quickly and handle multiple responsibilities.
Preferred Experience
2–4 years of experience in website development, technical operations, automation, AI-assisted development, or a related field.
Confidentiality
The selected candidate may be required to sign a confidentiality or non-disclosure agreement before receiving access to internal systems and project information.

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- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
- 3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.
- 2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).
- 2+ years' experience in infrastructure design, platform engineering, or architecture.
- Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.
- Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).
- Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.
- Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.
- Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.
- Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.
- Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.
- Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).
Preferred
- Experience with multi-cloud environments or hybrid cloud integration.
- Familiarity with GitOps, policy-as-code (e.g. Azure Policy, OPA), and secrets management (Azure Key Vault).
- Experience implementing DevSecOps practices — automated scanning, compliance-as-code, and shift-left security.
- Experience designing monitoring and observability frameworks (rather than just consuming them).
- Certifications — any of the following are highly valued:
- Microsoft Certified: Azure Administrator Associate (AZ-104)
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: DevOps Engineer Expert (AZ-400)
- HashiCorp Certified: Terraform Associate
- ITIL Foundation or Practitioner
- CISSP or similar security certification
Job Title: WordPress & Backend Developer
Company: Web Digital Mantra IT Services Pvt. Ltd.
Location: Kumaraswamy Layout, Bengaluru
Employment Type: Full-Time
Experience: 1+ Year
Salary: ₹1.2 LPA – ₹1.8 LPA
About the Company
Web Digital Mantra IT Services Pvt. Ltd. is a growing IT company specializing in Website Development, Mobile App Development, ERP, CRM, Billing Software, Digital Marketing, SEO, Google Ads, Meta Ads, and Branding Solutions. We are looking for a skilled and passionate WordPress & Backend Developer to join our growing team.
Job Summary
We are seeking a WordPress & Backend Developer with a minimum of 1 year of professional experience. The ideal candidate should have strong expertise in WordPress development along with solid backend programming knowledge. The candidate will be responsible for developing, maintaining, and optimizing websites and web applications while ensuring high performance, security, and scalability.
Key Responsibilities
● Develop, customize, and maintain WordPress websites.
● Build custom WordPress themes and plugins based on project requirements.
● Develop and maintain backend functionality using PHP and related technologies.
● Integrate third-party APIs and REST APIs.
● Optimize website speed, performance, and security.
● Troubleshoot and resolve website and server-related issues.
● Manage website deployment, hosting, backups, and maintenance.
● Collaborate with UI/UX designers, digital marketers, and developers to deliver quality projects.
● Write clean, maintainable, and well-documented code.
● Ensure websites are responsive and compatible across devices and browsers.
Required Skills
● Minimum 1 year of experience in WordPress development.
● Strong knowledge of WordPress CMS.
● Experience in custom theme development and plugin customization.
● Proficiency in PHP and backend development.
● Good understanding of MySQL.
● Knowledge of HTML5, CSS3, JavaScript, jQuery, and Bootstrap.
● Experience with REST API integration.
● Familiarity with Git or other version control systems.
● Understanding of website security and performance optimization.
● Strong analytical and problem-solving skills.
Preferred Skills
● Experience with Laravel or other PHP frameworks.
● Knowledge of WooCommerce customization.
● Experience with Elementor or similar page builders.
● Basic understanding of SEO best practices.
● Familiarity with cPanel, hosting, and server management.
● Candidates proficient in Kannada will be preferred.
Qualifications
● Bachelor's degree in Computer Science, Information Technology, or a related field.
● Minimum 1 year of relevant experience in WordPress and Backend Development.
Why Join Us?
● Opportunity to work on diverse web development projects.
● Collaborative and growth-oriented work environment.
● Hands-on experience with modern web technologies.
● Career advancement opportunities based on performance.
Job Location: Kumaraswamy Layout, Bengaluru
Experience: 1+ Year
Salary: ₹1.2 LPA – ₹1.8 LPA
Preferred: Candidates with Kannada language proficiency.
Supercharge Your Career as a AI DevOps Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
What’s in it for You?
We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.
What Will You Be Doing?
- Develop and deploy AI/ML and Generative AI solutions using Python.
- Build applications leveraging LLMs, RAG, and AI agents.
- Create and maintain CI/CD pipelines for AI applications.
- Deploy and manage workloads using Docker and Kubernetes.
- Support cloud platforms (AWS, Azure, or GCP).
- Implement Infrastructure as Code (Terraform) and automation workflows.
- Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
- Collaborate with engineering teams to ensure system reliability, performance, and security.
- Contribute to MLOps practices, AI accelerators, and reusable frameworks.
Requirements
What Makes You the Perfect Fit?
- Python programming (mandatory)
- Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
- Docker, Kubernetes, Git, and CI/CD tools
- AWS, Azure, or GCP
- PostgreSQL; MongoDB and Vector Databases are a plus
- Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
- Familiarity with observability and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
- 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas
Nice to Have
- Experience with Agentic AI frameworks
- Knowledge of MLOps and AI platform operations
- Exposure to enterprise-grade monitoring, reliability engineering, and security best practices
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 Details
- Job Title: DevOps and SRE -Technical Project Manager
- Industry: Global digital transformation solutions provider
- Domain - Information technology (IT)
- Experience Required: 12-15 years
- Employment Type: Full Time
- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad
- CTC Range: Best in Industry
Job Description
Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.
Key Responsibilities
- Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
- Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
- Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
- Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
- Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
- Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
- Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
- Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
- Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
- Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
- 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
- Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
- Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
- Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
- Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
- Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
- Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
- Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
- Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
- Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.
Skills: Devops Tools, Cloud Infrastructure, Team Management
Must-Haves
DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)
Notice period - 0 to 15days only
Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Lead DevSecOps Engineer
Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time
Apply here → https://lnk.ink/CLqe2
About FlytBase:
FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.
We're building intelligent autonomy — not just automation — and security is core to that vision.
What You’ll Own
You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.
Expect to:
- Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
- Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
- Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
- Build for Zero Trust security — logs, secrets, audits, access policies
- Lead incident response, postmortems, and playbooks to reduce MTTR
- Automate and secure CI/CD pipelines with SAST, DAST, image hardening
- Script your way out of toil using Python, Bash, or LLM-based agents
- Work alongside dev, platform, and product teams to ship secure, scalable systems
What We’re Looking For:
You’ve probably done a lot of this already:
- 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
- Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
- Strong in Linux internals, OS hardening, and network security
- Built and owned CI/CD pipelines, IaC, and automated releases
- Written scripts (Python/Bash) that saved your team hours
- Familiar with SOC 2, ISO 27001, threat detection, and compliance work
Bonus if you’ve:
- Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.
What It Means to Be a Flyter
- AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
- Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
- Joy in complexity: Security + infra + scale = your happy place.
- Radical candor: You give and receive sharp feedback early — and grow faster because of it.
- Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
- H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
- Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.
Perks:
▪ Unlimited leave & flexible hours
▪ Top-tier health coverage
▪ Budget for AI tools, courses
▪ International deployments
▪ ESOPs and high-agency team culture
Apply Here- https://lnk.ink/CLqe2
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Working with Ruby, Python, Perl, and Java
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Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
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Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
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Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
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Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
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Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
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Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
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Experience working on Linux based infrastructure
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Awareness of critical concepts in DevOps and Agile principles
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6-8 years of experience
Position- Cloud and Infrastructure Automation Consultant
Location- India(Pan India)-Work from Home
The position:
This exciting role in Ashnik’s consulting team brings great opportunity to design and deploy automation solutions for Ashnik’s enterprise customers spread across SEA and India. This role takes a lead in consulting the customers for automation of cloud and datacentre based resources. You will work hands-on with your team focusing on infrastructure solutions and to automate infrastructure deployments that are secure and compliant. You will provide implementation oversight of solutions to over the challenges of technology and business.
Responsibilities:
· To lead the consultative discussions to identify challenges for the customers and suggest right fit open source tools
· Independently determine the needs of the customer and create solution frameworks
· Design and develop moderately complex software solutions to meet needs
· Use a process-driven approach in designing and developing solutions.
· To create consulting work packages, detailed SOWs and assist sales team to position them to enterprise customers
· To be responsible for implementation of automation recipes (Ansible/CHEF) and scripts (Ruby, PowerShell, Python) as part of an automated installation/deployment process
Experience and skills required :
· 8 to 10 year of experience in IT infrastructure
· Proven technical skill in designing and delivering of enterprise level solution involving integration of complex technologies
· 6+ years of experience with RHEL/windows system automation
· 4+ years of experience using Python and/or Bash scripting to solve and automate common system tasks
· Strong understanding and knowledge of networking architecture
· Experience with Sentinel Policy as Code
· Strong understanding of AWS and Azure infrastructure
· Experience deploying and utilizing automation tools such as Terraform, CloudFormation, CI/CD pipelines, Jenkins, Github Actions
· Experience with Hashicorp Configuration Language (HCL) for module & policy development
· Knowledge of cloud tools including CloudFormation, CloudWatch, Control Tower, CloudTrail and IAM is desirable
This role requires high degree of self-initiative, working with diversified teams and working with customers spread across Southeast Asia and India region. This role requires you to be pro-active in communicating with customers and internal teams about industry trends, technology development and creating thought leadership.
About Us
Ashnik is a leading enterprise open-source solutions company in Southeast Asia and India, enabling organizations to adopt open source for their digital transformation goals. Founded in 2009, it offers a full-fledged Open-Source Marketplace, Solutions, and Services – Consulting, Managed, Technical, Training. Over 200 leading enterprises so far have leveraged Ashnik’s offerings in the space of Database platforms, DevOps & Microservices, Kubernetes, Cloud, and Analytics.
As a team culture, Ashnik is a family for its team members. Each member brings in a different perspective, new ideas and diverse background. Yet we all together strive for one goal – to deliver the best solutions to our customers using open-source software. We passionately believe in the power of collaboration. Through an open platform of idea exchange, we create a vibrant environment for growth and excellence.
Package : upto 20L
Experience: 8 yrs
- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for https://www.simplilearn.com/top-benefits-of-learning-devops-article" target="_blank">DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate https://www.simplilearn.com/best-ci-cd-tools-article" target="_blank">CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (https://www.simplilearn.com/open-source-pipeline-tools-for-devops-article" target="_blank">CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer









