Salesforce Release Manager

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

NOTE- This is a contractual role for a period of 3-6 months.

Responsibilities:

● Set up and maintain CI/CD pipelines across services and environments

● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity

● Manage cloud environments (staging, production) with cost and reliability in mind

● Ensure secure access, role policies, and audit logging

● Contribute to internal tooling, CLI automation, and dev workflow improvements

Must-Haves:

● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering

● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)

● Proficiency in writing scripts (Bash, Python) for automation

● Good understanding of system monitoring, logs, and alerting

● Strong debugging skills, ownership mindset, and clear documentation habits

● Infra monitoring tools like Grafana dashboards

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities:

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Implement consistent observability, deployment and IaC setups
• Patch production systems to fix security/performance issues
• Actively respond to escalations/incidents in the production environment from customers or the support team
• Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Participate in infrastructure security audits

Requirements:

• At least 5 years of experience in handling/building Production environments in AWS.
• At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
• Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.

About Us

At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.

Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.

We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.

The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.

Website: http://www.digilytics.ai">www.digilytics.ai

• Know about our product
  • https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
  • https://www.digilytics.ai/RevUP/">Digilytics RelUP
• What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
• Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z

 Responsibilities

• Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
• Hands-on experience on Kubernetes/Docker/helm.
• Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
• Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
• CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
• Experience with SharePoint and O365 administration
• Azure/Kubernetes certification will be preferred.
• Microsoft Partnership experience is good to have. 
• Excellent understanding of required technologies
• Good interpersonal skills and the ability to communicate ideas clearly at all levels
• Ability to work in unfamiliar business areas and to use your skills to create solutions
• Ability to both work in and lead a team and to deliver and accept peer review
• Flexible approach to working environment and hours to meet the needs of the business and clients

Must Haves:

• Hands-on experience on Kubernetes/Docker/helm.
• Experience on Azure/Aws or any other cloud provider.
• Linux & CI/CD tools knowledge.

Experience & Education:

• A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
• Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
• Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
• A bachelor's degree, or equivalent, in Software Engineering and Computer Science

• 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
• At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
• At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
• Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
• Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
• Strong know-how on VA/PT integration in CI/CD pipeline.
• Experience in handling financial solutions & customer-facing applications

Roles

• Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
• Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
• Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
• Maximize automation and enhance DevSecOps pipelines and other tasks
• Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
• Operate and support a suite of enterprise DevSecOps services
• Implement security automation to decrease the loop between the development and deployment processes.
• Support project teams to adopt & integrate the DevSecOps environment
• Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
• Coordinate with development and operations teams for practical automation solutions and custom flows.
• Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
• Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
• Build workflows to ensure a successful DevSecOps journey for various enterprise applications. 
• Understand the strategic direction to reach business goals across multiple projects & teams
• Collaborate with development teams to understand project deliverables and promote DevSecOps culture
• Formulate & deploy cloud automation strategies and tools

Skills

• Knowledge of the DevSecOps culture and principles.
• An understanding of cloud technologies & components
• A flair for programming languages such as Shell, Python, Java Scripts,
• Strong teamwork and communication skills.
• Knowledge of threat modeling and risk assessment techniques.
• Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
• An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
• Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
• On the job learning for new programming languages, automation tools, deployment architectures

Requirements:-

• Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field. 
• Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
• knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and  .Net. as their Core Skill.
• Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
• Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.  
• Experience with project management and workflow tools such as   Agile, Jira / WorkFront etc.
• Experience with open-source technologies and cloud services.
• Experience in working with Puppet or Chef for automation and configuration.
• Strong communication skills and ability to explain protocol and processes with team  and management.  
• Experience in a DevOps Engineer role (or similar role)
• AExperience in software development and infrastructure development is a plus

Job Specifications:-

• Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.  
• Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
• Deploy product updates as required while implementing integrations when they arise.  
• Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
• Specifying, documenting and developing new product features, and writing automating scripts.  Manage code deployments, fixes, updates and related processes.
• Work with open-source technologies as needed.
• Work with CI and CD tools, and source control such as GIT and SVN.
• Lead the team through development and operations.
• Offer  technical support where needed, developing software for our back-end systems.

We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.

Job Requirements

• Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
• Experience with AWS Cloud Formation and AWS CLI is essential
• The ability to work to project deadlines efficiently and with minimum guidance
• A positive attitude and enjoys working within a global distributed team

Skills

• Highly proficient working with CI/CD and automating infrastructure provisioning
• Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
• Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
• Hands on experience with Docker and container orchestration
• Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
• An interest in healthcare and medical sectors
• Technical degree with 4 plus years’ infrastructure and automation experience

Required Skills and Experience 

• 4+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 4+ 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.
• 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.