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Job Title: DevOps Engineer
Job Description: We are seeking an experienced DevOps Engineer to support our Laravel, JavaScript (Node.js, React, Next.js), and Python development teams. The role involves building and maintaining scalable CI/CD pipelines, automating deployments, and managing cloud infrastructure to ensure seamless delivery across multiple environments.
Responsibilities:
Design, implement, and maintain CI/CD pipelines for Laravel, Node.js, and Python projects.
Automate application deployment and environment provisioning using AWS and containerization tools.
Manage and optimize AWS infrastructure (EC2, ECS, RDS, S3, CloudWatch, IAM, Lambda).
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Manage configuration automation using Ansible.
Build and manage containerized environments using Docker (Kubernetes is a plus).
Monitor infrastructure and application performance using CloudWatch, Prometheus, or Grafana.
Ensure system security, data integrity, and high availability across environments.
Collaborate with development teams to streamline builds, testing, and deployments.
Troubleshoot and resolve infrastructure and deployment-related issues.
Required Skills:
AWS (EC2, ECS, RDS, S3, IAM, Lambda)
CI/CD Tools: Jenkins, GitLab CI/CD, AWS CodePipeline, CodeBuild, CodeDeploy
Infrastructure as Code: Terraform or AWS CloudFormation Configuration Management: Ansible
Containers: Docker (Kubernetes preferred)
Scripting: Bash, Python
Version Control: Git, GitHub, GitLab
Web Servers: Apache, Nginx (preferred)
Databases: MySQL, MongoDB (preferred)
Qualifications:
3+ years of experience as a DevOps Engineer in a production environment.
Proven experience supporting Laravel, Node.js, and Python-based applications.
Strong understanding of CI/CD, containerization, and automation practices.
Experience with infrastructure monitoring, logging, and performance optimization.
Familiarity with agile and collaborative development processes.
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
Responsibilities
● Work with application development teams to identify and understand their operational pain points.
● Document these challenges and define goals to be achieved by the infrastructure team.
● Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.
● Rollout tools and processes with heavy focus on automation.
● Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.
● Co-own the responsibility with application development teams to ensure the reliability of services.
● Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services
● Establish and implement administrative and operational best practices in the application development teams.
● Find avenues to reduce infrastructure costs and drive optimization in all services.
Qualifications
● 5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)
● Experience with git, CI / CD, Docker, etc
● Experience in working with infrastructure as code (Terraform, etc).
● Strong Linux Shell scripting experience
● Experience with one of the programming languages like Python, Java, Kotlin, etc.

Job Title: DevOps - 3
Roles and Responsibilities:
- Develop deep understanding of the end-to-end configurations, dependencies, customer requirements, and overall characteristics of the production services as the accountable owner for overall service operations
- Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work
- Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
- Participate in on-call rotation responsibilities, ensuring timely identification and resolution of infrastructure issues
- Possess expertise in designing and implementing capacity plans, accurately estimating costs and efforts for infrastructure needs.
- Systems and Infrastructure maintenance and ownership for production environments, with a continued focus on improving efficiencies, availability, and supportability through automation and well defined runbooks
- Provide mentorship and guidance to a team of DevOps engineers, fostering a collaborative and high-performing work environment. Mentor team members in best practices, technologies, and methodologies.
- Design for Reliability - Architect & implement solutions that keeps Infrastructure running with Always On availability and ensures high uptime SLA for the Infrastructure
- Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
- Collaborate with Product & Information Security teams to ensure the integrity and security of Infrastructure and applications. Implement security best practices and compliance standards.
Must Haves
- 5-8 years of experience as Devops / SRE / Platform Engineer.
- Strong expertise in automating Infrastructure provisioning and configuration using tools like Ansible, Packer, Terraform, Docker, Helm Charts etc.
- Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
- Expertise in managing large-scale cloud infrastructure (preferably AWS and Oracle)
- Expertise in managing production grade Kubernetes clusters
- Experience in scripting using programming languages like Bash, Python, etc.
- Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana etc.
- Experience in Managing and building High scale API Gateway, Service Mesh, etc
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
- Have a working knowledge of a backend programming language
- Deep knowledge & experience with Unix / Linux operating systems internals (Eg. filesystems, user management, etc)
- A working knowledge and deep understanding of cloud security concepts
- Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
- Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment.
LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
Task:
- Need to run our software products in different international environments (on premise and cloud providers)
- Support the developers while debugging issues
- Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system
- Integrate new technologies to support our products while growing in the market
- Develop Continuous Integration and Continuous Deployment Pipelines
- Maintain our on premise hosted servers and applications, like operating system upgrades, software upgrades, introducing new database versions etc.
- Automation of task to reduce amount of human errors and parallelize work
We wish:
- Basic OS knowledge (Debian, CentOS, Suse Enterprise Linux)
- Webserver administration and optimization (Apache, Traefik)
- Database administration and optimization (Mysql/MariaDB, Oracle, Elasticsearch)
- jvm administration and optimization application server administration and optimization (Servicemix, Karaf, Glassfish, Springboot)
- Scripting experience (Perl, Python, PHP, Java)
- Monitoring experience (Icinga/Nagios, Appdynamics, Prometheus, Grafana)
- Knowledge container management (Docker/ContainerD, DC/OS, Kubernetes)
- Experience with automatic deployment processes (Ansible, Gitlab-CI, Helm)
- Define and optimize processes for system maintenance, continuous integration, and continuous delivery
- Excellent communication skill & proficiency in English is necessary
- Leadership skill with team motivational approach
- Good Team player
We Offer:
- Freedom to realise your own ideas & individual career & development opportunity.
- A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
- Professional challenges and career development opportunities.
Your Contact for this position is Janki Raval .
Would you like to become part of this highly innovative, dynamic, and exciting world?
We look forward to your expressive Resume.
- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
- You have a Bachelor's degree in computer science or equivalent
- You have at least 7 years of DevOps experience.
- You have deep understanding of AWS and cloud architectures/services.
- You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
- You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
- You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
- You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
- You have a track record of delivering successful solutions and collaborating with others.
- You take security into account when building new systems.
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.









