
Responsibilities:
- Executing implementation of strategic and operational SEO Strategies- On-Page, Off-Page & Technical SEO
- Performing an in-depth page analysis using various SEO tools & extension- Search Console, Analytics, SEMrush, Ahrefs, etc
- Performing technical and On-Page SEO analysis to identify and execute website optimization strategies to boost organic traffic and conversions
- Executing and monitoring data based on SEO targets and timelines- KPIs and OKRs in alignment with business strategy
- Coordinating with internal and external stakeholders across the organization to get things done on time
- Staying on top of SEO news, Google Updates and so on and implement them in relevant day-to-day activities
- Creating optimized content for product pages and blogs in lines with SEO best practices that can break the clutter online
- Doing competitive analysis to fill in the SEO and content gaps for various product and landing pages
- Find out-of-the-box topics based on competitor analysis, trending topics, and various SEO tools
Requirements:
- 0-1 years of experience
- Basic analytical mindset for understanding SEO KPIs and handling Data
- Excellent in English verbal and written communication skills
- Comfortable in writing and editing content
- Comfortable with technical analysis and adept at learning things quickly
- Knowledge of Excel and Google Sheets- formulas, formatting, etc
- Adept with basic formatting, eye for detail, thorough research and analysis
- Proactive, responsible, hard-working, and diligent
- Ability to meet deadlines
Skills Required: Analytical Skills, Strategic Thinking, MS Office, Fluent in English, Writing Skills
If you want to learn and implement in-depth organic marketing, churn out SEO-friendly pages, have an eye for detail, and if data analysis does NOT scare you off- we'd love to meet you!

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Strong Senior AI/ML / GenAI / AI Engineer Profiles
Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production
Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
Mandatory (Company) – Product companies / startups, preferably Series A to Series D
Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
About Simbian
Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role
Overview
We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.
Key Responsibilities
• Kubernetes Management:
o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).
o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.
• Cloud Operations:
o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).
o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:
o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.
o Perform routine maintenance, backups, upgrades, monitoring, and optimization.
• Infrastructure as Code:
o Build, install, upgrade, and maintain Helm charts with expertise.
o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.
• Monitoring, Logging, Observability:
o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.
• Programming & Scripting:
o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).
• CI/CD:
o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).
• Containerization:
o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.
• Customer-Facing On-Prem Deployments (Bonus):
o Install, configure, and support Kubernetes on customer premises.
o Demonstrate ownership, initiative, and strong customer communication skills.
o Solid knowledge of Linux administration, networking, and cloud environments.
What You’ll Bring:
• 4+ years’ experience in DevOps, SRE, or Production Engineering.
• Mastery of Kubernetes, AWS, infrastructure automation, and database management.
• Strong collaborative, curious, and growth-driven mindset.
• Ability to challenge ideas, drive innovation, and embrace rapid change.
• Excellent communication for technical customer interactions.
Why Join Simbian?
• Work with pioneering agentic AI security—impact global security teams.
• Shape infrastructure for privacy-first technology in a high-growth startup.
• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.
Core responsibilities
• Collaborate with product teams to more accurately define new features
• Collaborate with UX in the building of a design system/component library
• Ensure high performance of all systems developed
• Aware of the relationship between development and business with a strong sense of ownership
• Employ the latest techniques such as agile software development
• Good knowledge of highly scalable server-side development
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Javascript/Angular
• Strong interpersonal, communication and analytical skills
• Should have the ability to express their design ideas and thoughts
Job Brief
• JavaScript and angular expertise
• Experience with libraries such as bootstrap, Ag-grid, formly, observables, and ngrx
• You enjoy working with new technologies, and are curious and energetic
• Experience working with REST APIs
• Good understanding about authentication and security
• Create and maintain various unit and integration tests
• You enjoy working in a creative and agile environment that moves fast
• Ability and interest in providing mentorship to junior members of the team
• Write high quality code and Conduct code reviews
• Being resourceful and detail-oriented, along with being an outside the box thinker!
• Experience being a great team player, who work collaborative, and brings a positive attitude
Key Responsibilities:
- Design, develop, and maintain data pipelines on AWS.
- Work with large-scale data processing using SQL, Python or PySpark.
- Implement and optimize ETL processes for structured and unstructured data.
- Develop and manage data models in Snowflake.
- Ensure data security, integrity, and compliance on AWS cloud infrastructure.
- Collaborate with cross-functional teams to support data-driven decision-making.
Required Skills:
- Strong hands-on experience with AWS services
- Proficiency in SQL, Python, or PySpark for data processing and transformation.
- Experience working with Snowflake for data warehousing.
- Strong understanding of data modeling, data governance, and performance tuning.
- Knowledge of CI/CD pipelines for data workflows is a plus.
Extensive (4+ years) knowledge of web technologies and building large scale web applications
· Strong proficiency in Java Script
· Expertise in Object-oriented programming
· Understanding the fully asynchronous behavior of React.js (Redux)
· Solid understanding of user-centered design principles and MVC/MVP/MVVM patterns specific
to front- end development
· Good in problem-solving skills
· Good in English communication (verbal and written)
Requirements
-
Previous work experience in Web3 Product Design
-
Or experience in software design
Responsibilities
Hiring Process
-
Application Review
-
Introductory Interview
-
Technical Interview
-
Offer Letter
- 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
*Performs analysis of functional and business requirements
*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.
*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.
*Introduce new product features and enhance the platform
*Ability to translate business reporting requirements into a production report.
Location- Noida
Salary - 20000 to 30000 (Fixed)
Qualification - Graduate
The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.
Responsibilities
Build relationships with prospective clients
Maintain consistent contact with existing clients
Manage sales pipeline
Analyse market and establish competitive advantages
Track metrics to ensure targets are hit
Qualifications
Graduate
Strong negotiation skills
Strong communication and presentation skills
CRM experience is preferred
We’re looking for a team player, who is motivated by delivering great work. Some of the skills and experience we look for includes:
- Builds and maintains relationship with talent pool in regional markets
- Opens and manages requisitions throughout recruiting lifecycle
- Manages candidate database, including resumes and applications
- Assesses recruiting service request and confirms talent needs with Business and Hiring Manager
- Identifies recruiting channels and target talent pools and conducts search for candidates
- Captures applicant information into recruiting database, maintaining database for future reference
- Prepares and shares candidate communications throughout recruiting lifecycle
- Provides candidate logistics support during hiring process, including coordination of candidate interviews and screening
- Screens candidates, including review of application and resume along with conducting assessments and interviews in partnership with Hiring Manager
- Serves as a point of escalation for inquiries and redirects the resolution of complex or unusual talent acquisition inquiries to the Talent Acquisition COE
- Provides inputs on recruiting operations and execution improvements to Talent Acquisition Lead and Talent Acquisition COE










