

DevOps Engineer
Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.
Responsibilities
- 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
- Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
- Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
- Experience with middle-layer technologies including web servers (httpd, ningx),
application servers (Jboss, Tomcat) and database systems (postgres, mysql)
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
- Experience supporting on-premise solutions as well as on AWS cloud
- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Terraform, etc
- Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
- Experience defining and automating the build, versioning and release processes for complex enterprise products
- Experience supporting clients remotely and on-site
- Experience working with and supporting Java- and Python-based tech stacks would be a Plus

Similar jobs
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
The Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.
What we look for:
As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.
Responsibilities:
- Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
- Ability to write shell/python/ or any unix scripts
- Working Knowledge on Docker & Kubernetes
- Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
- Working knowledge of Git as a source control system and defect tracking system
- Ability to debug and troubleshoot deployment issues
- Ability to use tools for faster resolution of issues
- Excellent communication and soft skills
- Passionate and ability work and deliver in a multi-team environment
- Good team player
- Flexible and quick learner
- Ability to write docker files, Kubernetes yaml files / Helm charts
- Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
- Ability to write Ansible, terraform scripts
- Linux System experience and Administration
- Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
- Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.


As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

ABOUT US: TURGAJO TECHNOLOGIES PVT TLD (http://www.turgajo.com">www.turgajo.com )
We are a product-based company, on a mission to capitalize on the evolution of new technologies and the new opportunities they present. We develop cutting-edge software solutions for the service industry and are working on some exciting projects that we believe have the power to fundamentally change and enhance the systems used by businesses every day.
ROLE AND RESPONSIBILITIES
At least 3+ years of experience as a system administrator.
- Knowledge of server technologies (cloud and on-prem).
- Work with both development and QA teams with a focus on automating builds & deployments.
- Knowledge of a range of current information technologies and computing platforms, such as cloud computing, Monitoring systems (Azure, AWS, VMw.are, commvault), Automation Tools (Azure/AWS Cloud, SCCM).
- Good Knowledge of Cloud-Based Software like Azure and AWS.
- Proficiency to manage the CI/CD process cycle includes the complete knowledge of Jenkins/TFS and Github.
- Ensure team collaboration using Jira, Confluence, and other tools.
- Build environments for unit tests, integration tests, system tests, and acceptance tests.
- Experience with virtualization (Azure, AWS, VMware).
- Experience and hands-on experience in Azure and AWS platforms.
- Azure and AWS monitoring and log analysis.
- Azure and AWS server and network security.
- Cloud-native engineer.
- Automate infrastructure provisioning and configuration (PowerShell scripting, etc.).
- Fixing skills, problem-solving, and resolution (root cause identification).
- VM’s deployment.
- Azure and AWS Site Recovery.
- Excellent Communication Skill is Mandatory.
QUALIFICATIONS AND EDUCATION REQUIREMENTS
- Bachelor's degree in computer science or related field required
- 3 years of experience in hands-on DevOps engineering
- Working experience with C#
- Maintain and administer Jenkins systems
- Expert in using Azure and AWS toolkits
- Good understanding of cloud application design patterns and practices preferably AWS
- Ability to quickly learn new technologies
- Strong problem-solving skills
- Excellent oral and written English communication skills
- Experience implementing CI/CD
- Experience using a wide variety of open source technologies and cloud services
- Experience with infrastructure automation solutions (Ansible, Chef, Puppet, etc.)
- Experience with Azure and AWS
- Defined and implemented the configuration for high throughput and scale with capacity planning load balancing strategies.
PREFERRED SKILLS
Experience with Jenkins or any other CI/CD tool
Strong experience in automating CI/CD & application deployment using various tools like GitLab, Jenkins, and AWS.
Please email your resume at hraturgajodotcom
- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
- 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
- Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages
- Experience in source control management, specifically with Git
- Hands-on experience in Unix/Linux and bash scripting
- Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE)
- Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation
- Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic
- Knowledge of Agile Methodologies and principles
- Good writing and documentation skills
- Strong collaborator with the ability to work well with core teammates and our colleagues across STS
• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.


