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• Automate deployments of infrastructure components and repetitive tasks.
• Drive changes strictly via the infrastructure-as-code methodology.
• Promote the use of source control for all changes including application and system-level changes.
• Design & Implement self-recovering systems after failure events.
• Participate in system sizing and capacity planning of various components.
• Create and maintain technical documents such as installation/upgrade MOPs.
• Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
• Support 24x7 availability for corporate sites & tools.
• Participate in rotating on-call schedules.
• Actively involved in researching, evaluating & selecting new tools & technologies.

• Cloud computing – AWS, OCI, OpenStack
• Automation/Configuration management tools such as Terraform & Chef
• Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
• Scripting languages - Ruby, Python, Bash
• Systems administration experience – Linux (Redhat), Mac, Windows
• SCM systems - Git
• Build tools - Maven, Gradle, Ant, Make
• Networking concepts - TCP/IP, Load balancing, Firewall
• High-Availability, Redundancy & Failover concepts
• SQL scripting & queries - DML, DDL, stored procedures
• Decisive and ability to work under pressure
• Prioritizing workload and multi-tasking ability
• Excellent written and verbal communication skills

• Database systems – Postgres, Oracle, or other RDBMS
• Mac automation tools - JAMF or other
• Atlassian Datacenter products
• Project management skills

• 3+ years of hands-on experience in the field or related area
• Requires MS or BS in Computer Science or equivalent field

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?

We are looking for a skilled DevOps Engineer with solid experience in cloud infrastructure management, CI/CD pipelines, and deployment on Kubernetes. The ideal candidate will have a strong background in Azure cloud platforms, with proficiency in configuring, automating, and optimizing cloud deployments to ensure scalability, reliability, and security of our systems.

Responsibilities:

Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes.

Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture.

Build and manage CI CD pipelines for multi region, multi environment production applications

Scalable Application deployments, optimal infra configuration

Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments.

Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows.

Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance.

Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources.

Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services.

Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments.

Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence.

Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.

5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.

Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.

Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms with Helm & ArgoCD.

Deep understanding of cloud-native architectures, microservices, and serverless computing.

Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.

Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.

Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.

Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

Job Purpose and Impact

The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.

Key Accountabilities

• Collaborate with internal and external partners to understand and evaluate business requirements.
• Implement modern engineering practices to ensure product quality.
• Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
• Write well-designed, testable and efficient code using full-stack engineering capability.
• Integrate software components into a fully functional software system.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Proficiency in at least one configuration management or orchestration tool, such as Ansible.
• Experience with cloud monitoring and logging services.

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent exp
• Knowledge of public cloud services & application programming interfaces
• Working exp with continuous integration and delivery practices

Preferred Qualifications

• 3-5 years of relevant exp whether in IT, IS, or software development
• Exp in:
•  Code repositories such as Git
• Scripting languages (Python & PowerShell)
• Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
• Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
• Databases such as Postgres, SQL, Elastic

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities:

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Implement consistent observability, deployment and IaC setups
• Patch production systems to fix security/performance issues
• Actively respond to escalations/incidents in the production environment from customers or the support team
• Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Participate in infrastructure security audits

Requirements:

• At least 5 years of experience in handling/building Production environments in AWS.
• At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
• Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.

• Pixuate is a deep-tech AI start-up enabling businesses make smarter decisions with our edge-based video analytics platform and offer innovative solutions across traffic management, industrial digital transformation, and smart surveillance. We aim to serve enterprises globally as a preferred partner for digitization of visual information.

  Job Description

  We at Pixuate are looking for highly motivated and talented Senior DevOps Engineers to support building the next generation, innovative, deep-tech AI based products. If you are someone who has a passion for building a great software, has analytical mindset and enjoys solving complex problems, thrives in a challenging environment, self-driven, constantly exploring & learning new technologies, have ability to succeed on one’s own merits and fast-track your career growth we would love to talk!

  What do we expect from this role?

  • This role’s key area of focus is to co-ordinate and manage the product from development through deployment, working with rest of the engineering team to ensure smooth functioning.
  • Work closely with the Head of Engineering in building out the infrastructure required to deploy, monitor and scale the services and systems.
  • Act as the technical expert, innovator, and strategic thought leader within the Cloud Native Development, DevOps and CI/CD pipeline technology engineering discipline.
  • Should be able to understand how technology works and how various structures fall in place, with a high-level understanding of working with various operating systems and their implications.
  • Troubleshoots basic software or DevOps stack issues

  You would be great at this job, if you have below mentioned competencies

  • Tech /M.Tech/MCA/ BSc / MSc/ BCA preferably in Computer Science
  • 5+ years of relevant work experience
  • https://www.edureka.co/blog/devops-skills#knowledge">Knowledge on Various DevOps Tools and Technologies
  • Should have worked on tools like Docker, Kubernetes, Ansible in a production environment for data intensive systems.
  • Experience in developing https://www.edureka.co/blog/continuous-delivery/">Continuous Integration/ Continuous Delivery pipelines (CI/ CD) preferably using Jenkins, scripting (Shell / Python) and https://www.edureka.co/blog/what-is-git/">Git and Git workflows
  • Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment.
  • Experience with the design and implementation of big data backup/recovery solutions.
  • Strong Linux fundamentals and scripting; experience as Linux Admin is good to have.
  • Working knowledge in Python is a plus
  • Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB, HAProxy) and high availability architecture is a plus
  • Strong interpersonal and communication skills
  • Proven ability to complete projects according to outlined scope and timeline
  • Willingness to travel within India and internationally whenever required
  • Demonstrated leadership qualities in past roles

  More about Pixuate:

  Pixuate, owned by Cocoslabs Innovative Solutions Pvt. Ltd., is a leading AI startup building the most advanced Edge-based video analytics products. We are recognized for our cutting-edge R&D in deep learning, computer vision and AI and we are solving some of the most challenging problems faced by enterprises. Pixuate’s plug-and-play platform revolutionizes monitoring, compliance to safety, and efficiency improvement for Industries, Banks & Enterprises by providing actionable real-time insights leveraging CCTV cameras.

  We have enabled our customers such as Hindustan Unilever, Godrej, Secuira, L&T, Bigbasket, Microlabs, Karnataka Bank etc and rapidly expanding our business to cater to the needs of Manufacturing & Logistics, Oil and Gas sector.

  Rewards & Recognitions:

  • Winner of Elevate by Startup Karnataka (https://pixuate.ai/thermal-analytics/">https://pixuate.ai/thermal-analytics/).
  • Winner of Manufacturing Innovation Challenge in the 2nd edition of Fusion 4.0’s MIC2020 organized by the NASSCOM Centre of Excellence in IoT & AI in 2021
  • Winner of SASACT program organized by MEITY in 2021

  Why join us?

  You will get an opportunity to work with the founders and be part of 0 to 1 journey& get coached and guided. You will also get an opportunity to excel your skills by being innovative and contributing to the area of your personal interest. Our culture encourages innovation, freedom and rewards high performers with faster growth and recognition.   

  Where to find us?

  Website: http://pixuate.com/">http://pixuate.com/                            

  Linked in: https://www.linkedin.com/company/pixuate-ai     

   

  Place of Work:

  Work from Office – Bengaluru

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