DevOps Engineer

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

Company Description

The client is currently the industry's only Manufacturing Operating System, designed to deliver unparalleled automation, precision, and scalability to factories. By integrating advanced technologies, they empower manufacturers to optimize production processes and achieve greater control over operations. Their innovative solutions drive smarter, more efficient factories. Join us to contribute to the future of intelligent manufacturing.

Role Description

We are seeking a Kubernetes Engineer for a full-time, on-site role based in Hyderabad, IN. In this role, you will design, implement, and maintain Kubernetes-based infrastructure to support production systems. This is a hands-on platform engineering role for someone who has built and operated production-grade Kubernetes environments across cloud, on-prem, or hybrid infrastructure. You’ll own the platform foundation for secure, reliable, and governed AI workloads — with a focus on automation, reliability, security, developer enablement, and enterprise-scale operations.

What you’ll do

You will lead the design, deployment, and lifecycle management of highly available Kubernetes platforms across hybrid environments, ensuring resilience, scalability, and operational consistency.

You’ll establish secure multi-tenant platform standards, build GitOps-driven operations, define deployment and observability patterns, and embed security controls across identity, secrets, policy enforcement, and workload protection.

You’ll also work closely with application, security, infrastructure, and platform teams to standardize deployment patterns, improve reliability, and support adoption of the enterprise AI platform.

Key responsibilities

• Design, deploy, and operate highly available Kubernetes platforms across cloud and on-prem environments
• Build automated, GitOps-driven platform operations for provisioning, upgrades, patching, scaling, and decommissioning
• Establish secure multi-tenant standards for governance, workload isolation, and resource efficiency
• Define platform standards for deployment, observability, service operations, and production readiness
• Implement Kubernetes security controls including RBAC, network policies, secrets management, policy enforcement, and cluster hardening
• Troubleshoot complex issues across Linux, networking, storage, runtime, and Kubernetes layers
• Improve platform reliability, incident response, operational readiness, and service objectives
• Drive continuous improvement in automation, performance, and cost efficiency

Must-have experience

• Proven experience building and operating production Kubernetes platforms at scale
• Strong hands-on Kubernetes administration, operations, and lifecycle management experience
• Deep understanding of Linux, cluster networking, storage architecture, and infrastructure troubleshooting
• Experience with Terraform, Helm, and infrastructure automation in production environments
• Hands-on GitOps experience with Argo CD, Flux, or similar tools
• Strong Kubernetes security experience, including RBAC, network policies, secrets/key management, admission control, policy enforcement, and production hardening
• Experience with at least one major cloud platform, preferably AWS or Azure
• Experience with EKS, AKS, GKE, OpenShift, Rancher, or similar enterprise Kubernetes platforms
• Familiarity with service mesh, OpenTelemetry, observability frameworks, and container security tooling
• Experience supporting enterprise AI platforms or AI/ML infrastructure
• Certifications such as CKA, CKAD, or CKS are preferred

Initial focus

In the first phase, you’ll help establish the Kubernetes platform foundation across cloud and on-prem environments, implement baseline GitOps, security, access, and operational controls, and define the operating model required to scale governed enterprise AI workloads.

This is a high-impact role for someone who wants to build the platform layer behind enterprise AI adoption — not just maintain clusters.

Job Responsibilities:

Section 1 -

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

Section 2 -

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

Section 3 -

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

Section 4 -

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

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

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

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

- Kubernetes and containers knowledge

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

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

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

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

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

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

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

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

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

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

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

Behavioral Traits

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

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

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

Role: DevOps Engineer

Experience: 7+ Years

Location: Pune / Trivandrum

Work Mode: Hybrid

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Drive CI/CD pipelines for microservices and cloud architectures
• Design and operate cloud-native platforms (AWS/Azure)
• Manage Kubernetes/OpenShift clusters and containerized applications
• Develop automated pipelines and infrastructure scripts
• Collaborate with cross-functional teams on DevOps best practices
• Mentor development teams on continuous delivery and reliability
• Handle incident management, troubleshooting, and root cause analysis

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:

• 7+ years in DevOps/SRE roles
• Strong experience with AWS or Azure
• Hands-on with Docker, Kubernetes, and/or OpenShift
• Proficiency in Jenkins, Git, Maven, JIRA
• Strong scripting skills (Shell, Python, Perl, Ruby, JavaScript)
• Solid networking knowledge and troubleshooting skills
• Excellent communication and collaboration abilities

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

• Experience with Helm, monitoring tools (Splunk, Grafana, New Relic, Datadog)
• Knowledge of Microservices and SOA architectures
• Familiarity with database technologies

Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology.  Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.

RESPONSIBILITIES:

• Provide leadership on cross-functional development focused software release process.
• Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
• Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
• Work with engineering team to understand impacts of branches and code merges.
• Identify, communicate, and mitigate release delivery risks.
• Measure and monitor progress to ensure product features are delivered on time.
• Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
• Responsible for planning, monitoring, executing, and implementing the software release strategy.
• Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
• Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
• Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
• Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
• Make Improvements to processes to improve the experience and delivery for internal and external customers.
• Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.

EXPERIENCE AND KNOWLEDGE:

• Bachelor’s degree in Computer Science, or related field or equivalent experience.
• Minimum 4 years related experience in product release management role.
• Excellent understanding of software delivery lifecycle.
• Technical Background with experience in common Scrum and Agile practices preferred.
• Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
• Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
• Familiarity with enterprise software deployment architecture and methodologies.
• Proven ability in building effective partnership with diverse groups in multiple locations/environments 
• Ability to convey technical concepts to business-oriented teams.
• Capable of assessing and communicating risks and mitigations while managing ambiguity.
• Experience managing customer and internal expectations while understanding the organizational and customer impact.
• Strong organizational, process, leadership, and collaboration skills.
• Strong verbal, written, and interpersonal skills.

What you need to have:

Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days

Job Descrtiption:

Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB

Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.

Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application

Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator

Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support,  implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.

This person MUST have:

• Min of 3-5 prior experience as a DevOps Engineer.
• Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
• Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
• Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
• Experience managing AWS infrastructure
• Hands on experience of Linux administration.
• Basic understanding of Kubernetes/Docker orchestration
• Works closely with engineering team for day to day activities
• Manges existing infrastructure/Pipelines/Engineering tools (On Prem or  AWS) for engineering team (Build servers/Jenkin nodes etc.)
• Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
• Works closely with engineering team for improving existing pipelines for build .
• Troubleshoots problems across infrastructure/services

Experience:

• Min 5-7  year experience

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week (11 AM to 7 PM).

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles