Hiring for a funded fintech startup based out of Bangalore!!!
Our Ideal Candidate
We are looking for a Senior DevOps engineer 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.
Requirements
- 5-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, Teraform, 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
Desired Non-technical Requirements
- Very strong communication skills both written and verbal
- Strong desire to work with start-ups
- Must be a team player
Job Perks
- Attractive variable compensation package
- Flexible working hours – everything is results-oriented
- Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Docker
Kubernetes
Amazon Web Services (AWS)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
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
Docker
Jenkins| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
PythonAmazon Web Services (AWS)Docker- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
KubernetesDockerOne of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer 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
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.
BENEFITS: -
Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test
Jenkins
Java- Proficient in Java, Node or Python
- Experience with NewRelic, Splunk, SignalFx, DataDog etc.
- Monitoring and alerting experience
- Full stack development experience
- Hands-on with building and deploying micro services in Cloud (AWS/Azure)
- Experience with terraform w.r.t Infrastructure As Code
- Should have experience troubleshooting live production systems using monitoring/log analytics tools
- Should have experience leading a team (2 or more engineers)
- Experienced using Jenkins or similar deployment pipeline tools
- Understanding of distributed architectures
DockerKubernetesAmazon Web Services (AWS)- 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
- 2+ years of hands-on experience as a DevOps engineer
- Strong leadership, communication and interpersonal skills geared to getting things done
- Developing themselves and the talent within their charge – fostering and creating opportunity for the team
- Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
- Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
- Own site stability, performance, capacity planning, DevOps recruitment.
Amazon Web Services (AWS)PythonAmazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon