
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude

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Principal DevOps Engineer
Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.
We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.
Who are we?
Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.
What do we promise?
We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.
What do we provide?
● A chance to be on the leading edge of cybersecurity and AI
● Ability to have direct impact on company growth and revenue strategy
● An opportunity to mentor and be mentored by experts in multiple disciplines
What do we deliver?
Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.
Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.
Core Technology Stack
AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI
Key Responsibilities:
● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.
● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.
● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.
● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.
● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.
● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.
● Identify opportunities to leverage AI to automate operational and DevOps workflows.
● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.
● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.
● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.
● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.
● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.
● Define best practices and governance for the safe and effective use of AI across DevOps processes.
● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.
Requirements:
● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).
● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).
● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.
● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.
● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.
● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.
● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).
● Hands-on experience with on-call processes and incident management frameworks.
Preferred Qualifications:
● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.
● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.
● Experience with multi-tenant SaaS architectures and tenant isolation strategies.
● Knowledge of FinOps principles and AWS cost management tooling.
● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.
Core Competencies:
● Strategic Thinking – ability to translate business goals into scalable technical architecture.
● Operational Excellence – strong bias for reliability, automation, and continuous improvement.
● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.
● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.
● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.
Why should we connect?
We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.
At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.
If you are passionate about cybersecurity just as we are, we would love to connect and share ideas
Job Title: Senior DevOps Engineer
Location: Sector 39, Gurgaon (Onsite)
Employment Type: Full-Time
Working Days: 6 Days (Alternate Saturdays Working)
Experience Required: 5+ Years
Team Role: Lead & Mentor a team of 3–4 engineers
About the Role
We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.
Key Responsibilities
Infrastructure & Server Management (60%)
- Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
- Configure network bonding, firewalls, and system security for optimal performance and reliability.
- Implement and maintain high-availability solutions for mission-critical systems.
Queue Systems (Kafka / RabbitMQ) (15%)
- Deploy and manage message queue systems to support high-throughput, real-time data exchange.
- Ensure reliable event-driven communication between distributed services.
Storage Systems (SAN/NAS) (15%)
- Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
- Optimize storage performance, redundancy, and availability.
Database Administration (5%)
- Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
- Handle backup, recovery, replication, and performance tuning.
General DevOps & Automation
- Deploy product updates, patches, and fixes while ensuring minimal downtime.
- Design and manage CI/CD pipelines using Jenkins or similar tools.
- Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
- Manage web and application servers (Apache httpd, Tomcat).
- Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
- Conduct root cause analysis and implement automation to reduce manual interventions.
- Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.
Required Skills & Qualifications
✅ 5+ years of proven DevOps engineering experience
✅ Strong expertise in Linux administration & shell scripting
✅ Hands-on experience with bare-metal server management & storage systems
✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible
✅ Experience with Kafka or RabbitMQ in production environments
✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)
✅ Excellent problem-solving, troubleshooting, and leadership abilities
✅ Strong communication skills with the ability to mentor and lead teams
Good to Have
- Experience in Telecom projects involving SMS, voice, or real-time data handling.
DevOps & Automation:
- Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.
Cloud Services & Architecture:
- Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
- Good understanding of cloud design patterns, security best practices, and cost optimization strategies.
Scripting & Automation:
- Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
- Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.
Data Integration & ADF:
- Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
- Knowledge of data integration practices, including ETL/ELT processes and data transformations.
Application Management & Monitoring:
- Ability to provide comprehensive support for both new and legacy applications.
- Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
- Understanding of application security principles and best practices.
Database Skills:
- Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime

Platform Services Engineer
DevSecOps Engineer
- Strong Systems Experience- Linux, networking, cloud, APIs
- Scripting language Programming - Shell, Python
- Strong Debugging Capability
- AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
- Knowledge on Terraform, Packer, Ansible, Jenkins
- Observability - Prometheus, InfluxDB, Dynatrace,
- Grafana, Splunk • DevSecOps-CI/CD - Jenkins
- Microservices
- Security & Access Management
- Container Orchestration a plus - Kubernetes, Docker etc.
- Big Data Platforms knowledge EMR, Databricks. Cloudera a plus
- Demonstrated experience with AWS
- Knowledge of servers, networks, storage, client-server systems, and firewalls
- Strong expertise in Windows and/or Linux operating systems, including system architecture and design, as well as experience supporting and troubleshooting stability and performance issues
- Thorough understanding of and experience with virtualization technologies (e.g., VMWare/Hyper-V)
- Knowledge of core network services such as DHCP, DNS, IP routing, VLANs, layer 2/3 routing, and load balancing is required
- Experience in reading, writing or modifying PowerShell, Bash scripts & Python code.Experience using git
- Working know-how of software-defined lifecycles, product packaging, and deployments
- POSTGRESSQL or Oracle database administration (Backup, Restore, Tuning, Monitoring, Management)
- At least 2 from AWS Associate Solutions Architect, DevOps, or SysOps
- At least 1 from AWS Professional Solutions Architect, DevOps
- AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Bigdata: Databricks, Cloudera, Glue and Athena
- DevOps: Jenkins, Bitbucket
- Automation: Terraform, Cloud Formation, Python, Shell scripting Experience in automating AWS infrastructure with Terraform.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment
Requirements:
● Knowledge of building micro-services.
● Experience in managing cloud infrastructure with disaster recovery and security in
mind (AWS, GCP, Azure).
● Experience with High Availability clusters setup.
● Experience in creating alerting and monitoring strategies.
● Strong debugging skills.
● Experience with 0 downtime Continuous Delivery setup (Jenkins, AWS Code
Deploy, Team City, Go CD etc).
● Experience with Infrastructure as Code & Automation tools (Bash, Ansible,
Puppet, Chef, Terraform etc).
● Master of *nix systems, including working with docker, process & network
monitoring tools.
● Knowledge of monitoring tools like New Relic, App Dynamics etc.
● Experience with Messaging systems (RMQ, Kafka etc. ).
● Knowledge of DevOps Intelligence.
● Experience in setting up & driving DevOps initiatives in side the org Excellen.
● Good team player.
● Good to have experience in Kubernetes cluster management.
Currently, Indus OS has a user base of over 12+ Million on the back of 10+ smartphone brand partnerships with leading OEMs such as Samsung, Gionee, iTel, Micromax, Intex, Karbonn, and others. The Indus platform is available in English & 23 Indian regional languages and is intended to digitally connect the next 1 billion people in the emerging markets.
Indus App Bazaar: Indus also has its very own app market place called Indus App Bazaar with over 400,000 applications. Indus App Bazaar is India's largest indigenous app store available in 12 languages, designed to suit specific requirements of the Indian consumers. The recent partnership with Samsung will see Indus App Bazaar power Samsung's new Galaxy Apps Store in all Samsung Devices. With this partnership, we will be able to reach a user base of over 150 Million by 2021.
Indus OS in News:
Bloomberg: http://bloom.bg/2adsFRB
Financial Express: http://bit.ly/29FDQg5
Economic Times: http://bit.ly/2ayTvD4
https://bit.ly/2JgL3JU
https://yourstory.com/2019/07/startup-funding-indus-os-samsung-venture" target="_blank">https://yourstory.com/2019/07/startup-funding-indus-os-samsung-venture
Key Responsibilities
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
- Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
- Data management skills
Education :
- Degree in Computer Engineering or Computer Science or 2-5 years equivalent experience in systems administration or DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
- Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
- The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings etc.
- Work with intelligent, fun and interesting people in a dynamic start-up environment.
- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.











