
The Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.

About Dori AI
About
At Dori, we develop platforms and services that enable artificial intelligence centered application development for mobile edge devices, embedded IoT devices, on-premise servers, and cloud platforms. The company provides a turnkey solution to add intelligence in applications by simplifying model development and deployment.
We have developed an AI-as-a-service platform that provides prebuilt and custom engines to evaluate, deploy, and monitor artificial intelligence systems for consumer and enterprise applications. Application developers can rapidly develop and deploy AI-enabled applications for multiple operating systems, hardware architectures, and cloud infrastructures.
Connect with the team
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Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
Implementation Engineer
Implementation Engineer Duties and Responsibilities
- Understanding requirements from internal consumers about program functionality.
- Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
- Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
- Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
- Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
- Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
- Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
- Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
- Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
- Install, configure, monitor and upgrade applications during installation/upgrade activities.
- Assisting team to identify network issue and help them with respective resolutions.
- Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
- Managing JIRA and tracking tickets to closure and follow-ups with team members.
- Troubleshoot software issues
- Provide on-call support as necessary
Implementation Engineer Requirements and Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field
- Experience working with
- Linux & Windows Operating system
- Working on shell and bat scripts
- SIP/ISUP based solutions
- deploying / debugging Java, C++ based solutions.
- MySQL to install, backup, update and retrieve data
- Front-end or back-end software development for LINUX
- database management and security a plus
- Very good debugging and analytical skills
- Good Communication 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)
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
- Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
- Familiarity with Python-related technologies and frameworks like Django or Pyramid.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
- Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Source code management and Implementation of security best practices.
- Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
- Good understanding & implementation experience using 12-factor App principles
- Awareness of Cloud Security concepts
- Awareness of Information Security concepts and Best Practices
Job Summary
Creates, modifies, and maintains software applications individually or as part of a team. Provides technical leadership on a team, including training and mentoring of other team members. Provides technology and architecture direction for the team, department, and organization.
Essential Duties & Responsibilities
- Develops software applications and supporting infrastructure using established coding standards and methodologies
- Sets example for software quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load.
- Self-starter and self-organized - able to work without supervision
- Develops tooling, test harnesses and innovative solutions to understand and monitor the quality of the product
- Develops infrastructure as code to reliably deploy applications on demand or through automation
- Understands cloud managed services and builds scalable and secure applications using them
- Creates proof of concepts for new ideas that answer key questions of feasibility, desirability, and viability
- Work with other technical leaders to establish coding standards, development best practices and technology direction
- Performs thorough code reviews that promote better understanding throughout the team
- Work with architects, designers, business analysts and others to design and implement high quality software solutions
- Builds intuitive user interfaces with the end user persona in mind using front end frameworks and styling
- Assist product owners in backlog grooming, story breakdown and story estimation
- Collaborate and communicate effectively with team members and other stakeholders throughout the organization
- Document software changes for use by other engineers, quality assurance and documentation specialists
- Master the technologies, languages, and practices used by the team and project assigned
- Train others in the technologies, languages, and practices used by the team
- Trouble shoot, instrument and debug existing software resolving root causes of defective behavior
- Guide the team in setting up the infrastructure in the cloud.
- Setup the security protocols for the cloud infrastructure
- Works with the team in setting up the data hub in the cloud
- Create dashboards for the visibility of the various interactions between the cloud services
- Other duties as assigned
Experience
Education
- BA/BS in Computer Science, a related field or equivalent work experience
Minimum Qualifications
- Mastered advanced programming concepts, including object oriented programming
- Mastered technologies and tools utilized by team and project assigned
- Able to train others on general programming concepts and specific technologies
- Minimum 8 years’ experience developing software applications
Skills/Knowledge
- Must be expert in advanced programming skills and database technology
- Must be expert in at least one technology and/or language and proficient in multiple technologies and languages:
- (Specific languages needed will vary based on development department or project)
- .Net Core, C#, Java, SQL, JavaScript, Typescript, Python
- Additional desired skills:
- Single-Page Applications, Angular (v9), Ivy, RXJS, NGRX, HTML5, CSS/SASS, Web Components, Atomic Design
- Test First approach, Test Driven Development (TDD), Automated testing (Protractor, Jasmine), Newman Postman, artillery.io
- Microservices, Terraform, Jenkins, Jupyter Notebook, Docker, NPM, Yarn, Nuget, NodeJS, Git/Gerrit, LaunchDarkly
- Amazon Web Services (AWS), Lambda, S3, Cognito, Step Functions, SQS, IAM, Cloudwatch, Elasticache
- Database Design, Optimization, Replication, Partitioning/Sharding, NoSQL, PostgreSQL, MongoDB, DynamoDB, Elastic Search, PySpark, Kafka
- Agile, Scrum, Kanban, DevSecOps
- Strong problem-solving skills
- Outstanding communications and interpersonal skills
- Strong organizational skills and ability to multi-task
- Ability to track software issues to successful resolution
- Ability to work in a collaborative fast paced environment
- Setting up complex AWS data storage hub
- Well versed in setting up infrastructure security in the interactions between the planned components
- Experienced in setting up dashboards for analyzing the various operations in the AWS infra setup.
- Ability to learn new development language quickly and apply that knowledge effectively

Total Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database











