Lead DevOps Engineer

GCP Cloud Engineer:

• Proficiency in infrastructure as code (Terraform).
• Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
• Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
• Design Disaster Recovery and backup strategies to meet application objectives.
• Working knowledge of Google Cloud
• Working knowledge of various tools, open-source technologies, and cloud services
• Experience working on Linux based infrastructure.
• Excellent problem-solving and troubleshooting skills

Type, Location

Full Time @ Anywhere in India

Desired Experience

2+ years

Job Description

What You’ll Do

● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.

● Take charge of DevOps activities for CI/CD with the latest tech stacks.

● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.

● Implementing the DevOps philosophy and strategy across different domains in organisation.

● Build automation at various levels, including code deployment to streamline release process

● Will be responsible for architecture of cloud services

● 24*7 monitoring of the infrastructure

● Use programming/scripting in your day-to-day work

● Have shell experience - for example Powershell on Windows, or BASH on *nix

● Use a Version Control System, preferably git

● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)

● Scalability, HA and troubleshooting of web-scale applications.

● Infrastructure-As-Code tools like Terraform, CloudFormation

● CI/CD systems such as Jenkins, CircleCI

● Container technologies such as Docker, Kubernetes, OpenShift

● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA

What you bring to the table

● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.

● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.

● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems

● Configuration management tools such as Ansible/Chef/Puppet

Bonus if you have…

● Basic understanding of Networking(routing, switching, dns) and Storage

● Basic understanding of Protocol such as UDP/TCP

● Basic understanding of Cloud computing

● Basic understanding of Cloud computing models like SaaS, PaaS

● Basic understanding of git or any other source code repo

● Basic understanding of Databases(sql/no sql)

● Great problem solving skills

● Good in communication

● Adaptive to learning

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

• Lead, inspire, and influence to make sure your team is successful
• Partner with the recruiting team to attract and retain high-quality and diverse talent
• Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
• Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
• Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp

You'll need:

• BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
• Strong fundamentals in distributed systems design and development
• Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
• Experience running production services in Public Clouds such as AWS, GCP, and Azure
• Experience with running large stateful data systems in the Cloud
• Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
• A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
• Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team

Role 

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.

You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.

Responsibilities

• Deployment, automation, management, and maintenance of production systems.
• Ensuring availability, performance, security, and scalability of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
• Be accountable for proper backup and disaster recovery procedures.
• Drive operational cost reductions through service optimizations and demand based auto scaling.
• Have on call responsibilities.
• Perform root cause analysis for production errors
• Uses open source technologies and tools to accomplish specific use cases encountered within the project.
• Uses coding languages or scripting methodologies to solve a problem with a custom workflow.

Requirements

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Prior experience as a software developer in a couple of high level programming languages.

• Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)

• Extensive experience with web servers such as Nginx/Apache

• Strong Linux system administration background.
• Ability to present and communicate the architecture in a visual form.
• Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
• Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
• A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
• Expertise with Git
• Experience implementing CI/CD (e.g. Jenkins, TravisCI)
• Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
• Stellar troubleshooting skills with the ability to spot issues before they become problems.
• Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
• Time and project management skills, with the capability to prioritize and multitask as needed.

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.