Vice President - DevOps Engineering

As a Sr. Linux engineer you would be :
● Auditing, monitoring and improving existing infrastructure components of highly available and scaled
product on cloud with Ubuntu servers
● Running daily maintenance tasks and improving it with possible automation
● Deploying new components, server and other infrastructure when needed
● Coming up with innovative ways to automate tasks
● Working with telecom carriers and getting rates and destinations and update regularly on the system
● Working with Docker containers, Tinc, Iptables, HAproxy, ETCD, mySQL, mongoDB, CouchDB and
ansible
You would be bringing below skills to our team :
● Expertise with Docker containers and its networking, Tinc, Iptables, HAproxy, ETCD, and ansible
● Extensive experience with setup, maintenance, monitoring, backup and replication with mySQL
● Expertise with the Ubuntu servers and its OS and server level networking
● Good experience of working with mongoDB, CouchDB
● Good with the networking tools
● Open Source server monitoring solutions like nagios, Zabbix etc.
● Worked on highly scaled, distributed applications running on the Datacenter Ubuntu VPS instances
● Innovative and out of box thinker with multitasking skills working in a small team efficiently
● Working Knowledge of any scripting languages like bash, node or python
● It would be an advantage if have experience with the calling platforms like FreeSWITCH, OpenSIPS or
Kamailio and have basic knowledge of SIP protocol

Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.

Immediate Joiners or candidates with 30 days notice period are preferred.

Requirements:-

• Minimum 4-6 Years experience in DevOps Release Engineering. 
• Expert-level knowledge of Git. 
• Must have great command over Kubernetes
• Certified Kubernetes Administrator
• Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure. 
• Expert level of knowledge in Docker. 
• Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet. 
• Basic level of web development experience and setup: Apache, Nginx, MySQL 
• Basic level of familiarity with Agile/Scrum process and JIRA. 
• Expert level of Knowledge in AWS Cloud Services.

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

 

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

 

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

This is a great opportunity for young and ambitious people looking to make a career in IT infrastructure solution sales!!

Who we are?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech
to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering,
AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
○ Client - Vendor relationship: No. We partner with clients instead.
○ And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We don’t hold grudges. We don’t have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Tesla’s new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for cloud: When was the last time your dinner entailed an act on “How would
‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did
the ‘Sheldon’ version of the same thing.
2. Passion for sales: When was the last time you went at a remote gas station while on
vacation, and ended up helping the gas station owner saasify his 7 gas stations
across other geographies.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can
attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions
to help move & improve infra from on-premise to cloud or help optimize cloud spend from
one public cloud to the other.
1. Be the first one to experiment on new age cloud offerings, help define the best
practise as a thought leader for cloud, automation & Dev-Ops, be a solution
visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met;
deliver quality results.
6. Participate in technical reviews of requirements, designs, code and other artifacts
7. Identify and keep abreast of new technical concepts in google cloud platform
8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
Accomplishment Set
● Passionate, persuasive, articulate Cloud professional capable of quickly establishing
interest and credibility
● Good business judgment, a comfortable, open communication style, and a
willingness and ability to work with customers and teams.
● Strong service attitude and a commitment to quality.
● Highly organised and efficient.
● Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the
new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives
those fancy degrees!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf

THE OPPORTUNITY

A platform to learn and grow in a great working environment with cutting edge technologies. There is vast opportunity to showcase creative thinking which can be translated into a highly optimized tools/utilities.

 

KEY ACTIVITIES

• Code Integrations ( Compile, Build, Notify )
• Package creation ( Service Packs, Patches, Hotfixes )
•  Environment Preparation ( With GOLD SCM technical stack )
•  Environment & Infra management
•  Package delivery ( Customer specific & Standard )
• Build & Deployment automation
• Tickets management

 

KEY CRITERIA

Primary Technical Skills  

• Shell Scripting
• ORACLE DB Fundamentals
• Infra Monitoring & Diagnostics
• ClearCase / GIT
• DevOps concepts
• Basic Java

Other Required Skills

• Problem Solving
• Logical Reasoning
• Aptitude & Attitude
• Communication (Verbal & Written)

Machine Learning
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery