DevOps Engineer
Multiplier enables companies to employ anyone, anywhere in a few clicks. Our
SaaS platform combines the multi-local complexities of hiring & paying employees
anywhere in the world, and automates everything. We are passionate about
creating a world where people can get a job they love, without having to leave the
people they love.
We are an early stage start up with a "Day one" attitude and we are building a
team that will make Multiplier the market leader in this space. Every day is an
exciting one at Multiplier right now because we are figuring out a real problem in
the market and building a first-of-its-kind product around it. We are looking for
smart and talented people who will add on to our collective energy and share the
same excitement in making Multiplier a big deal. We are headquartered in
Singapore, but our team is remote.
What will I be doing? š©š»šØš»
Owning and managing our cloud infrastructure on AWS.
Working as part of product development from inception to launch, and own
deployment pipelines through to site reliability.
Ensuring a high availability production site with proper alerting, monitoring and
security in place.
Creating an efficient environment for product development teams to build, test
and deploy features quickly by providing multiple environments for testing and
staging.
Use infrastructure as code and the best of methods and tools in DevOps to
innovate and keep improving.
Create an automation culture and add automation to wherever it is needed..
DevOps Engineer īRemote) 2
What do I need? š¤
4ī years of industry experience in a similar DevOps role, preferably as part of
a SaaS
product team. You can demonstrate the significant impact your work has had
on the product and/or the team.
Deep knowledge in AWS and the services available. 2ī years of experience in
building complex architecture on cloud infrastructure.
Exceptional understanding of containerisation technologies and Docker. Have
had hands on experience with Kubernetes, AWS ECS and AWS EKS.
Experience with Terraform or any other infrastructure as code solutions.
Able to comfortably use at least one high level programming languages such
as Java, Javascript or Python. Hands on experiences of scripting in bash,
groovy and others.
Good understanding of security in web technologies and cloud infrastructure.
Work with and solve problems of very complex nature and enjoy doing it.
Willingness to quickly learn and use new technologies or frameworks.
Clear and responsive communication.

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We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters
Responsibilities and Accountabilities:
- As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearchās product which are hosted in cloud services & on-prem facility
- Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different EnvĀ
- Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
- Resolve incidents as escalated from Monitoring tools and Business Development Team
- Implement and follow security guidelines, both policy and technology to protect our data
- Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
- Strong in performing production operation activities even at night times if required
- Ability to automate [Scripts] recurring tasks to increase velocity and quality
- Ability to manage and deliver multiple project phases at the same time
I Qualification(s):Ā
- Experience in working with Linux Server, DevOps tools, and Orchestration toolsĀ
- Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-addĀ
II Experience Required in DevOps Aspects:
- Length of Experience: Minimum 1-4 years of experience
- Nature of Experience:Ā
- Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
- Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
- Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
- Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
- Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
- Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
- Good at Version Control & source code management systems like GitHub, GIT
- Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
- Experience in Web Server Nginx, and Apache
- Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
- Knowledge in Puma, Unicorn, Gunicorn & Yarn
- Hands-on VMWare ESXi/Xencenter deployments is a value add
- Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
- Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
- Code Quality like SonarQube is a value-add
- Test Automation like Selenium, JMeter, and JUnit is a value-add
- Experience in Heroku and OpenStack is a value-addĀ
- Experience in Identifying Inbound and Outbound Threats and resolving it
- Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packagesĀ Ā
- Documenting the Security fix for future use
- Establish cross-team collaboration with security built into the software development lifecycleĀ
- Forensics and Root Cause Analysis skills are mandatoryĀ
- Weekly Sanity Checks of the on-prem and off-prem environmentĀ
Ā
III Skill Set & Personality Traits required:
- An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
- Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers
IV Age Group: 21 ā 36 Years
V Cost to the Company: As per industry standards
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basicsābackups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducibleānot clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boringāno drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Expert troubleshooting skills.
Expertise in designing highly secure cloud services and cloud infrastructure using AWS
(EC2, RDS, S3, ECS, Route53)
Experience with DevOps tools including Docker, Ansible, Terraform.
⢠Experience with monitoring tools such as DataDog, Splunk.
Experience building and maintaining large scale infrastructure in AWS including
experience leveraging one or more coding languages for automation.
Experience providing 24X7 on call production support.
Understanding of best practices, industry standards and repeatable, supportable
processes.
Knowledge and working experience of container-based deployments such as Docker,
Terraform, AWS ECS.
Ā of TCP/IP, DNS, Certs & Networking Concepts.Ā
Knowledge and working experience of the CI/CD development pipeline and experience
of the CI/CD maturity model. (Jenkins)
Knowledge and working experience
Strong core Linux OS skills, shell scripting, python scripting.
Working experience of modern engineering operations duties, including providing the
necessary tools and infrastructure to support high performance Dev and QA teams.
Database, MySQL administration skills is a plus.
Prior work in high load and high-traffic infrastructure is a plus.
Clear vision of and commitment to providing outstanding customer service.
staging, QA, and development of cloud infrastructures running in 24Ć7 environments.
ā Most of our deployments are in K8s, You will work with the team to run and manage multiple K8s
environments 24/7
ā Implement and oversee all aspects of the cloud environment including provisioning, scale,
monitoring, and security.
ā Nurture cloud computing expertise internally and externally to drive cloud adoption.
ā Implement systems solutions, and processes needed to manage cloud cost, monitoring, scalability,
and redundancy.
ā Ensure all cloud solutions adhere to security and compliance best practices.
ā Collaborate with Enterprise Architecture, Data Platform, DevOps, and Integration Teams to ensure
cloud adoption follows standard best practices.
Responsibilities :
ā Bachelorās degree in Computer Science, Computer Engineering or Information Technology or
equivalent experience.
ā Experience with Kubernetes on cloud and deployment technologies such as Helm is a major plus
ā Expert level hands on experience with AWS (Azure and GCP experience are a big plus)
ā 10 or more years of experience.
ā Minimum of 5 yearsā experience building and supporting cloud solutions
Ā
LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelorās degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
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)
Designation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
Ā
DevOps Engineer Job Description:-
Ā
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Ā
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
Ā
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
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.Ā You will stay here because you love the company.Ā We have only a 15 days notice period.
Ā
Job Dsecription: (8-12 years)
Ā
ā Develop best practices for team and also responsible for the architecture
ā solutions and documentation operations in order to meet the engineering departments quality and standards
ā Participate in production outage and handle complex issues and works towards Resolution
ā Develop custom tools and integration with existing tools to increase engineering Productivity
Ā
Required Experience and Expertise
Ā
ā Deep understanding of Kernel, Networking and OS fundamentals
ā Strong experience in writing helm charts.
ā Deep understanding of K8s.
ā Good knowledge in service mesh.
ā Good Database understanding
Ā
Ā
Notice Period: 30 day max
ā Responsible for development, and implementation of Cloud solutions.
ā Responsible for achieving automation & orchestration of tools(Puppet/Chef)
ā Monitoring the product's security & health(Datadog/Newrelic)
ā Managing and Maintaining databases(Mongo & Postgres)
ā Automating Infrastructure using AWS services like CloudFormation
ā Provide evidences in Infrastructure Security Audits
ā Migrating to Container technologies (Docker/Kubernetes)
ā Should have knowledge on serverless concepts (AWS Lambda)
ā Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
ā Problem-solving skills that enable you to identify the best solutions.
ā Team collaboration and flexibility at work.
ā Strong verbal and written communication skills that will help in presenting complex ideas
in an accessible and engaging way.
ā Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
ā Dynamic, diverse, inclusive startup environment driven by transparency and velocity
ā Bright, open, sunny working environment and collaborative office space
ā Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
ā Competitive salaries and company equity, and a focus on developing world class talent operations
ā Comprehensive health insurance available (medical) for you and your family
ā Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
ā CEO moonshots projects with cash awards every quarter
ā Upskilling and learning support including via paid conferences, online courses, and certifications
ā Every month Rupees 2,500 will be credited to Sudexo meal card








