- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

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A DevSecOps Staff Engineer integrates security into DevOps practices, designing secure CI/CD
pipelines, building and automating secure cloud infrastructure and ensuring compliance across
development, operations, and security teams.
Responsibilities
• Design, build and maintain secure CI/CD pipelines utilizing DevSecOps principles and
practices to increase automation and reduce human involvement in the process
• Integrate tools of SAST, DAST, SCA, etc. within pipelines to enable automated application
building, testing, securing and deployment.
• Implement security controls for cloud platforms (AWS, GCP), including IAM, container
security (EKS/ECS), and data encryption for services like S3 or BigQuery, etc.
• Automate vulnerability scanning, monitoring, and compliance processes by collaborating
with DevOps and Development teams to minimize risks in deployment pipelines.
• Suggesting architecture improvements, recommending process improvements.
• Review cloud deployment architectures and implement required security controls.
• Mentor other engineers on security practices and processes.
Requirements
• Bachelor's degree, preferably in CS or a related field, or equivalent experience
• 10+ years of overall industry experience with AWS Certified - Security Specialist.• Must have implementation experience using security tools and processes related to SAST,
DAST and Pen Testing
• AWS-specific: 5+ years’ experience with using a broad range of AWS technologies (e.g.
EC2, RDS, ELB, S3, VPC, CloudWatch) to develop and maintain an Amazon AWS based
cloud solution, with an emphasis on best practice cloud security.
• Experienced with CI/CD tool chain (GitHub Actions, Packages, Jenkins, etc.)
• Passionate about solving security challenges and being informed of available and
emerging security threats and various security technologies.
• Must be familiar with the OWASP Top 10 Security Risks and Controls
• Good skills in at least one or more scripting languages: Python, Bash
• Good knowledge in Kubernetes, Docker Swarm or other cluster management software.
• Willing to work in shifts as required
Good to Have
• AWS Certified DevOps Engineer
• Observability: Experience with system monitoring tools (e.g. CloudWatch, New Relic,
etc.).
• Experience with Terraform/Ansible/Chef/Puppet
• Operating Systems: Windows and Linux system administration.
Perks:
● Day off on the 3rd Friday of every month (one long weekend each month)
● Monthly Wellness Reimbursement Program to promote health well-being
● Monthly Office Commutation Reimbursement Program
● Paid paternity and maternity leaves
Required Skills:
- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
- HAProxy, Nginx, SSH, MySQL configuration and operation experience
- Ability to work seamlessly with software developers, QA, project managers, and business development
- Ability to produce and maintain written documentation
DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
● Auditing, monitoring and improving existing infrastructure components of highly available and scaled
product on cloud with Ubuntu servers
● Running daily maintenance tasks and improving it with possible automation
● Deploying new components, server and other infrastructure when needed
● Coming up with innovative ways to automate tasks
● Working with telecom carriers and getting rates and destinations and update regularly on the system
● Working with Docker containers, Tinc, Iptables, HAproxy, ETCD, mySQL, mongoDB, CouchDB and
ansible
You would be bringing below skills to our team :
● Expertise with Docker containers and its networking, Tinc, Iptables, HAproxy, ETCD, and ansible
● Extensive experience with setup, maintenance, monitoring, backup and replication with mySQL
● Expertise with the Ubuntu servers and its OS and server level networking
● Good experience of working with mongoDB, CouchDB
● Good with the networking tools
● Open Source server monitoring solutions like nagios, Zabbix etc.
● Worked on highly scaled, distributed applications running on the Datacenter Ubuntu VPS instances
● Innovative and out of box thinker with multitasking skills working in a small team efficiently
● Working Knowledge of any scripting languages like bash, node or python
● It would be an advantage if have experience with the calling platforms like FreeSWITCH, OpenSIPS or
Kamailio and have basic knowledge of SIP protocol
- Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
- Analytical/logical reasoning
- GitHub Actions
- Should have good working experience with GitHub Actions
- Repository/Workflow Dispatch, writing reusable workflows, etc
- AZ CLI commands
- Hands-on experience with AZ CLI commands
- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.
JOB RESPONSIBILITIES:
- Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
- Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
- Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
- Implement proactive measures for automated detection and resolution of recurring operational issues
- Lead operational support team manage incidents, document root cause and tracking preventive measures
- Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
- Responsible for the design and development of tools, installation procedures
- Develops and maintains accurate estimates, timelines, project plans, and status reports
- Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
- Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
- Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
- Perform infrastructure cost analysis and optimization
SKILLS & ABILITIES
Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering
Technical Skills:
- Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
- Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
- Ability to learn/use a wide variety of open-source technologies and tools
- Sound understanding of cloud technologies preferably AWS technologies
- Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
- 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
- Good scripting skills (Python/Perl/Ruby/Bash)
- Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
- Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
- Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
- Working knowledge on HSM and PKI (Good to have)
Location:
- Bangalore
Experience:
- 10 + Years.
Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery










