Sales Executive

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

This is a full-time on-site role for a Full Stack Developer at Arahas in Gurugram. As a Full Stack Developer, you will be responsible for both front-end and back-end web development, software development, and utilizing cascading style sheets (CSS).

·. The candidate should have a minimum of 5 years of experience in developing robust, scalable web applications.

Immediate joiners are preferred .

Key Skills:

• 5+ years of experience with Angular 2+, Node.js, and MongoDB

• Strong knowledge of front-end technologies (HTML5, CSS3, JavaScript)

Responsibilities:

• Develop and maintain full-stack web applications

• Collaborate with cross-functional teams to deliver high-quality solutions

• Write clean, scalable, and maintainable code

• Troubleshoot and optimize application performance

Company Profile :-

Arahas excels in delivering sustainable solutions to diverse sectors, including Telecom, Defense, Land Management, Smart & Sustainable City, Utilities, Municipal Services, Environment, Infrastructure & Real-estate, Forest Management, Logistics & Distribution, Public Safety, Wildlife, Water & Rainfall, Emergency and Disaster Management.

Backed by marquee climate investors like NIIF, Arahas is at the forefront of India's green economy transition. Arahas has seen impressive growth, now working with 30+ clients across urban development, agriculture, disaster response, and ESG performance management. With 110+ professionals delivering solutions from 5+ delivery centers, Arahas combines human expertise and digital capabilities into innovative offerings across 15+ product and service lines.

We are seeking a talented and experienced Frontend Developer to join our on-site team full time. As a Frontend Developer, you will be responsible for developing user-friendly, responsive and high-performance web applications.

Responsibilities:

• Develop responsive and user-friendly web applications.
• Collaborate with designers and other developers to implement visual designs and user interface elements.
• Optimize web applications for maximum speed and scalability.
• Write clean, maintainable and reusable code.
• Participate in code reviews and ensure code quality.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with emerging trends and technologies in frontend development.

Requirements:

• 1 year of experience as a Frontend Developer.
• Proficient in HTML, CSS, and JavaScript.
• Familiarity with modern frontend frameworks like React, Nextjs.
• Experience with CSS preprocessors like Sass or LESS.
• Knowledge of responsive web design and cross-browser compatibility.
• Understanding of version control systems like Git.
• Ability to work in a collaborative environment.
• Excellent problem-solving and analytical skills.

If you are a self-starter who is passionate about frontend development and looking for a challenging opportunity, please apply with your resume and a cover letter explaining your experience and why you are the best fit for this role. This is an on-site, full-time position.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Technical Lead Typescript Front End Developer:

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• Good communication skills
• Strong background in developing mobile games using OOJS, JavaScript , Typescript, HTML and CSS
• Experience in gaming framework and libraries like Phaser and Create JS
• Knowledge of Object Oriented design patterns
• Experience in game development for mobile devices (IOS/Android browsers)
• Excellent analytical skills for debugging and problem solving
• Excellent problem solving skills and aptitude 
• Ability to review code and design. ​

• Knowledge of various JavaScript libraries available for developing games
• Knowledge of Node JS, NPM & Grunt
• Knowledge of Pixi JS & Cocos2d-x
• Basic knowledge about graphics manipulation software like Photoshop, gimp etc.
• Experience in game development for mobile devices browser (IOS/Android browsers)