Roles and Responsibilities:
• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
• Support existing infrastructure, analyse problem areas and come up with solutions
• An eye for monitoring – the candidate should be able to look at complex infrastructure and be
able to figure out what to monitor and how.
• Work along with the Engineering team to help out with Infrastructure / Network automation needs.
• Deploy infrastructure as code and automate as much as possible
• Manage a team of DevOps
Desired Profile:
• Understanding of provisioning of Bare Metal and Virtual Machines
• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.
• Experience in scripting languages like Ruby/ Python/ Shell Scripting
• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts
• Strong Linux/Unix administration skills.
• Self-starter who can implement with minimal guidance
• Hands-on experience setting up CICD from SCRATCH in Jenkins
• Experience with Managing K8s infrastructure

About CodeCraft Technologies Private Limited
About
CodeCraft Technologies is a digital transformation company offering mobility & cloud solutions along with design and consultancy services
With Codecraft you get a chance to work on cutting edge Technololgies.
You will be working on challenging projects into Cyber Security, IOT and Energy Domains
We have open and transparent work culture.
You will be working with one of the finest design teams
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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
Required Skills
● Experience: Minimum of 5 years of professional experience in a DevOps Engineer
role
● Cloud Proficiency: Proven experience with at least one major cloud provider (AWS,
Azure, or GCP).
● Scripting & Programming: Strong scripting skills in languages such as Bash, Python,
or Go.
● IaC Tools: Hands-on experience with Terraform.
● Container Technology: Expertise in Docker and Kubernetes.
● CI/CD Tools: Proficient with CI/CD platforms like Jenkins, GitLab CI, or Travis CI.
● Configuration Management: Experience with configuration management tools like
Ansible, Chef, or Puppet.
● Version Control: Strong knowledge of Git and branching strategies.
● Problem-Solving:Excellent problem-solving abilities and a commitment to automation
and continuous improvement.
Salesforce DevOps/Release Engineer
Resource type - Salesforce DevOps/Release Engineer
Experience - 5 to 8 years
Norms - PF & UAN mandatory
Resource Availability - Immediate or Joining time in less than 15 days
Job - Remote
Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)
Required Experience:
- 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
- Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
- Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
- Solid understanding of Salesforce architecture, metadata, and development lifecycle.
- Familiarity with version control systems (e.g., Git) and agile methodologies
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
- Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
- Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
- Monitor, troubleshoot, and resolve deployment and release issues.
- Maintain documentation for deployment processes and provide training on best practices.
- Stay updated on the latest Salesforce DevOps tools, features, and best practices.
Technical Skills:
- Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
- CI/CDBuilding and maintaining pipelines, automation, and release management
- Version ControlProficiency with Git and related workflows
- Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
- Scripting
- Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
- Communication
- Strong written and verbal communication skills
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or related field.
Certifications:
Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.
Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.
Experience with Salesforce DX and deployment strategies for large-scale orgs.
· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:
- Developing APIs and endpoints for deployments of our product
- Infrastructure Development such as building databases, creating and maintaining automated jobs
- Build out the back-end to deploy and scale our product
- Build POCs for client deployments
- Document your code, write test cases, etc.
Implementing various development, testing, automation tools, and IT infrastructure
Selecting and deploying appropriate CI/CD tools
Required Candidate profile
LinuxWorking knowledge of any webserver eg- NGINX or Apache
You will be responsible for
1. Setting up, maintaining cloud (AWS/GCP/Azure) and kubernetes cluster and automating
their operation
2. All operational aspects of devtron platform including maintenance, upgrades,
automation.
3. Providing kubernetes expertise to facilitate smooth and fast customer onboarding on
devtron platform
Responsibilities:
1. Manage devtron platform on multiple kubernetes clusters
2. Designing and embedding industry best practices for online services including disaster
recovery, business continuity, monitoring/alerting, and service health measurement
3. Providing operational support for day to day activities involving the deployment of
services
4. Identify opportunities for improving the security, reliability, and scalability of the platform
5. Facilitate smooth and fast customer onboarding on devtron platform
6. Drive customer engagement
Requirements:
● Bachelor's Degree in Computer Science or a related field.
● 2+ years working as a devops engineer
● Proficient in 1 or more programming languages (e.g. Python, Go, Ruby).
● Familiar with shell scripts, Linux commands, network fundamentals
● Understanding of large scale distributed systems
● Basic understanding of cloud computing (AWS/GCP/Azure)
Preferred Qualifications:
● Great analytical and interpersonal skills
● Passion for creating efficient, reliable, reusable programs/scripts.
● Excited about technology, have a strong interest in learning about and playing with the
latest technologies and doing POC.
● Strong customer focus, ownership, urgency and drive.
● Knowledge and experience with cloud native tools like prometheus, kubernetes, docker,
grafana.
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database















