DevOps Engineer

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

About BootLabs:

BootLabs is a boutique tech consulting and digital engineering company that partners with leading enterprises to build and support scalable, cloud-native, and data-driven platforms. We specialise in delivering high-impact solutions across cloud, AI/GenAI, platform engineering, and enterprise application support. Our teams work closely with global clients across highly regulated industries, including BFSI, Healthcare, E-commerce, and other domains, ensuring reliability, security, and operational excellence for mission-critical systems.

JD:

Extensive experience in deploying, and supporting enterprise workloads across Azure IaaS, PaaS, and SaaS environments.

Experience managing enterprise Landing Zones & Azure Policies.

Exposure to Azure Data Lake and Azure Databricks (basic to intermediate).

Knowledge of Terraform and any DevOps CI/CD pipelines.

Hybrid connectivity experience (VPN Gateway / ExpressRoute).

Strong networking fundamentals (NSG, UDR, Peering).

OS-level troubleshooting (Windows & Linux).

Experience with enterprise security tools such as Prisma / Cortex or similar vulnerability & endpoint security tools

Experience in production support, governance, and security guardrails.

Experience handling production incidents, RCA preparation, and performance tuning. Change management & CAB coordination.

Hands-on experience with native Azure security services like Azure Firewall, Azure Application Gateway with WAF etc

Cost optimization ,Monitoring & alerting implementation

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)

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

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

DevOps 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 are looking for a DevOps Engineer to help us build functional systems that improve customer experience. 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.

Key Qualifications

· 4+ years of experience as a DevOps Engineer with monitoring, troubleshooting, and diagnosing infrastructure systems.

· Experience in implementation of continuous integration and deployment pipelines using Jenkins, JIRA, JFrog, etc

· Strong experience in Linux/Unix administration.

· Experience with automation/configuration management using Puppet, Chef, Ansible, Terraform, or other similar tools.

· Expertise in multiple coding and scripting languages including Shell, Python, and Perl

· Hands-on experience Exposure to modern IT infrastructure (eg. Docker swarm/Mesos/Kubernetes/Openstack)

· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database

· Worked on open-source tools for logging, monitoring, search engine, caching, etc.

· Professional Certificates in AWS or any other cloud is preferable

· Excellent problem solving and troubleshooting skills

· Must have good written and verbal communication skills

Key Responsibilities

Ambitious individuals who can work under their own direction towards agreed targets/goals.

 Must be flexible to work on the office timings to accommodate the multi-national client timings.

 Will be involved in solution designing from the conceptual stages through development cycle and deployments.

 Involve development operations & support internal teams

 Improve infrastructure uptime, performance, resilience, reliability through automation

 Willing to learn new technologies and work on research-orientated projects

 Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.

 Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.

 Independent thinking, ability to work in a fast-paced environment with creativity and brainstorming

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

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.

• 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

• BA/BS in Computer Science, a related field or equivalent work experience

• 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

• 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