Technical Manager

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Salesforce DevOps/Release Engineer
Resource type - Salesforce DevOps/Release Engineer
Experience - 5 to 8 years
Norms - PF & UAN mandatory
Resource Availability - Immediate or Joining time in less than 15 days
Job - Remote
Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)
Required Experience:
- 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
- Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
- Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
- Solid understanding of Salesforce architecture, metadata, and development lifecycle.
- Familiarity with version control systems (e.g., Git) and agile methodologies
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
- Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
- Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
- Monitor, troubleshoot, and resolve deployment and release issues.
- Maintain documentation for deployment processes and provide training on best practices.
- Stay updated on the latest Salesforce DevOps tools, features, and best practices.
Technical Skills:
- Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
- CI/CDBuilding and maintaining pipelines, automation, and release management
- Version ControlProficiency with Git and related workflows
- Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
- Scripting
- Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
- Communication
- Strong written and verbal communication skills
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Certifications:
Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.
Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.
Experience with Salesforce DX and deployment strategies for large-scale orgs.
Job Title: Data Architect - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.
Skill-sets Required:
- Design Enterprise Data Models
- Azure Data Specialist
- Security and Risk
- GDPR and other compliance knowledge
- Scrum/Agile
Job Role:
- Design and implement effective database solutions and models to store and retrieve company data
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: NO BAR .
**THIS IS A 100% WORK FROM OFFICE 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 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.
ROLE and RESPONSIBILITIES:
• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management
activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for
DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in
the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or
creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing
vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer
Essential Skills and Experience Technical Skills
• Proven 3+years of experience as DevOps
• A bachelor’s degree or higher qualification in computer science
• The ability to code and script in multiple languages and automation frameworks
like Python, C#, Java, Perl, Ruby, SQL Server, NoSQL, and MySQL
• An understanding of the best security practices and automating security testing and
updating in the CI/CD (continuous integration, continuous deployment) pipelines
• An ability to conveniently deploy monitoring and logging infrastructure using tools.
• Proficiency in container frameworks
• Mastery in the use of infrastructure automation toolsets like Terraform, Ansible, and command line interfaces for Microsoft Azure, Amazon AWS, and other cloud platforms
• Certification in Cloud Security
• An understanding of various operating systems
• A strong focus on automation and agile development
• Excellent communication and interpersonal skills
• An ability to work in a fast-paced environment and handle multiple projects
simultaneously
OTHER INFORMATION
The DevOps Engineer will also be expected to demonstrate their commitment:
• to gedu values and regulations, including equal opportunities policy.
• the gedu’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of gedu’s Environmental Policy.
• to their Health and Safety responsibilities to ensure their contribution to a safe and secure working environment for staff, students, and other visitors to the campus.
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)
REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.
Duties and Responsibilities :
- Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
- Build, release, and configuration management of production systems.
- System troubleshooting and problem-solving across platform and application domains.
- Suggesting architecture improvements, recommending process improvements.
- Evaluate new technology options and vendor products.
- Function well in a fast-paced, rapidly-changing environment
- Communicate effectively with people at all levels of the organization
Qualifications and Required Skills:
- Overall 3+ years of experience in various software engineering roles.
- 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
- Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
- Expertise in any of the programming languages – (NodeJS or Python preferable)
- Must have hands-on experience in using AWS/Azure - SDK/APIs.
- Must have experience in deploying, releasing, and managing production systems
- MCA or a degree in engineering in Computer Science, IT, or Electronics stream
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
Improvement of monitoring systems
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Incident analysis and fixing
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience of working with git
Preferred experience
Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience administering Atlassian products
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.
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days
- Experience working on Linux based infrastructure
- Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
- Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
- Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
- Awareness of critical concepts in DevOps and Agile principles
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.









