
Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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Required qualifications and must have skills
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5+ years of experience managing a team of 5+ infrastructure software engineers
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5+ years of experience in building and scaling technical infrastructure
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5+ years of experience in delivering software
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Experience leading by influence in multi-team, cross-functional projects
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Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
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Experience with cloud service providers such as AWS, GCP, or Azure
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Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
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Experience with Hadoop, Hive and Presto
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Application/infrastructure benchmarking and optimization
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Familiarity with modern CI/CD practices
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Familiarity with reliability best practices
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.
Position Summary-
This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.
Required experience
- 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
- Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Basic understanding of SQL
- Experience working with technologies like S3, Kubernetes experience preferred.
- Databricks/Hadoop/Kafka experience preferred but not required

Java with cloud
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Core Java, SpringBoot, MicroServices |
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- DB2 or any RDBMS database application development |
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- Linux OS, shell scripting, Batch Processing |
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- Troubleshooting Large Scale application |
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- Experience in automation and unit test framework is a must |
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- AWS Cloud experience desirable |
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- Agile Development Experience |
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- Complete Development Cycle ( Dev, QA, UAT, Staging) |
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- Good Oral and Written Communication Skills |
This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth. We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud. We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices. We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.
We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. 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.
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 or Build & Deploy..
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. You will stay here because you love the company. We have only a 15 days notice period.
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
Your Key Responsibilities
- 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.
What to Bring
- 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.
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.









