Azure DevOps Engineer

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. 

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Description

Role: Sr. DevOps – Architect

Location: Bangalore

Who are we looking for?

A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;

Technical Skills:

• 8+ years of relevant  DevOps /Operations/Development experience working under Agile  DevOps  culture on large scale distributed systems.

• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.

• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash

• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.

• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.

• Experience with Docker and Kubernetes.

• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.

• Experience with planning tools like Jira, Rally etc.

• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.

• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.

• Experience on setting up and managing  DevOps  tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)

• Understanding of Applications, Networking and Open source tools.

• Experience on security side of DevOps i.e. DevSecOps

• Good to have understanding of Micro services architecture.

• Experience working with remote/offshore teams is a huge plus

• Experience in building a Dashboard based on latest JS technologies like NodeJS

• Experience with NoSQL database like MongoDB

• Experience in working with REST APIs

• Experience with tools like NPM, Gulp

Process Skills:

• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets

• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers

• Compile, deliver, and evangelize roadmaps that guide the evolution of services

• Grasp and communicate big-picture enterprise-wide issues to team

• Experience working in an Agile / Scrum / SAFe environment preferred

Behavioral Skills :

• Should have directly worked on creating enterprise level operating models, architecture options

• Model as-is and to-be architectures based on business requirements

• Good communication & presentation skills

• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work

• Flexible for short term travel

Primary Duties / Responsibilities:

• Build Automations and modules for DevOps platform

• Build integrations between various DevOps tools

• Interface with another teams to provide support and understand the overall vision of the transformation platform.

• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.

• Preparing HLDs and LLDs.

• Presenting status to leadership and key stakeholders at regular intervals

Qualification:

• Somebody who has at least 12+ years of work experience in software development.

• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience

• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college

We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

What we are looking for

• Must have strong knowledge of Kubernetes and Helm3
• Should have previous experience in Dockerizing the applications.
• Should be able to automate manual tasks using Shell or Python
• Should have good working knowledge on AWS and GCP clouds
• Should have previous experience working on Bitbucket, Github, or any other VCS.
• Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
• Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
• Should have a good understanding of ELK Stack.
• Exposure on Jira, confluence, and Sprints.

What you will do:

• Mentor junior Devops engineers and improve the team’s bar
• Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
• Oversight of all server environments, from Dev through Production.
• Responsible for the automation and configuration management
• Provides stable environments for quality delivery
• Assist with day-to-day issue management.
• Take lead in containerising microservices
• Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
• Enables the automation of CI/CD
• Implement dashboard to monitors various
• 1-3 years of experience in DevOps
• Experience in setting up front end best practices
• Working in high growth startups
• Ownership and Be Proactive.
• Mentorship & upskilling mindset.
• systems and applications
• 
  what you’ll get
  • Health Benefits
  • Innovation-driven culture
  • Smart and fun team to work with
  • Friends for life

Cloud Software Engineer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure.  We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms.  Our engagement service is built on the DevOps standard practice and SRE model.

We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.

Roles and Responsibilities

· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms

· Apply continuous delivery practices to deliver high-quality software and value as early as possible.

· Work in collaborative teams to build new experiences

· Participate in the entire cycle of software consulting and delivery from ideation to deployment

· Integrating multiple software products across cloud and hybrid environments

· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud

· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices

Desired Candidate Profile : *** freshers can also apply ***

· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.

· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.

· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.

· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives

· Driven to develop technical skills for oneself and team-mates

· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.

· Possess at least one cloud-related certification from AWS, Azure, or equivalent

· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns

· Past experience quickly learning new languages and frameworks

· Ability to work with a high degree of autonomy and self-direction

http://www.banyandata.com" target="_blank">www.banyandata.com