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SENIOR INFORMATION SECURITY ENGINEER (DEVSECOPS)
Key Skills: Software Development Life Cycle (SDLC), CI/CD
About Company: Consumer Internet / E-Commerce
Company Size: Mid-Sized
Experience Required: 6 - 10 years
Working Days: 5 days/week
Office Location: Bengaluru [Karnataka]
Review Criteria:
Mandatory:
- Strong DevSecOps profile
- Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.
- Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms
- Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.
- Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.
- Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc
- Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments
- Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities
- Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes
- B2B SaaS Product companies
- Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments
Preferred:
- Experience with DevSecOps automation, security-as-code, and policy-as-code implementations
- Exposure to threat intelligence platforms, cloud security monitoring, and proactive threat detection methodologies, including EDR / DLP or vulnerability management tools
- Must demonstrate strong ownership mindset, proactive security-first thinking, and ability to communicate risks in clear business language
Roles & Responsibilities:
We are looking for a Senior Information Security Engineer who can help protect our cloud infrastructure, applications, and data while enabling teams to move fast and build securely.
This role sits deep within our engineering ecosystem. You’ll embed security into how we design, build, deploy, and operate systems—working closely with Cloud, Platform, and Application Engineering teams. You’ll balance proactive security design with hands-on incident response, and help shape a strong, security-first culture across the organization.
If you enjoy solving real-world security problems, working close to systems and code, and influencing how teams build securely at scale, this role is for you.
What You’ll Do-
Cloud & Infrastructure Security:
- Design, implement, and operate cloud-native security controls across AWS, Azure, GCP, and Oracle.
- Strengthen IAM, network security, and cloud posture using services like GuardDuty, Azure Security Center and others.
- Partner with platform teams to secure VPCs, security groups, and cloud access patterns.
Application & DevSecOps Security:
- Embed security into the SDLC through threat modeling, secure code reviews, and security-by-design practices.
- Integrate SAST, DAST, and SCA tools into CI/CD pipelines.
- Secure infrastructure-as-code and containerized workloads using Terraform, CloudFormation, ARM, Docker, and Kubernetes.
Security Monitoring & Incident Response:
- Monitor security alerts and investigate potential threats across cloud and application layers.
- Lead or support incident response efforts, root-cause analysis, and corrective actions.
- Plan and execute VAPT and penetration testing engagements (internal and external), track remediation, and validate fixes.
- Conduct red teaming activities and tabletop exercises to test detection, response readiness, and cross-team coordination.
- Continuously improve detection, response, and testing maturity.
Security Tools & Platforms:
- Manage and optimize security tooling including firewalls, SIEM, EDR, DLP, IDS/IPS, CSPM, and vulnerability management platforms.
- Ensure tools are well-integrated, actionable, and aligned with operational needs.
Compliance, Governance & Awareness:
- Support compliance with industry standards and frameworks such as SOC2, HIPAA, ISO 27001, NIST, CIS, and GDPR.
- Promote secure engineering practices through training, documentation, and ongoing awareness programs.
- Act as a trusted security advisor to engineering and product teams.
Continuous Improvement:
- Stay ahead of emerging threats, cloud vulnerabilities, and evolving security best practices.
- Continuously raise the bar on a company's security posture through automation and process improvement.
Endpoint Security (Secondary Scope):
- Provide guidance on endpoint security tooling such as SentinelOne and Microsoft Defender when required.
Ideal Candidate:
- Strong hands-on experience in cloud security across AWS and Azure.
- Practical exposure to CSPM tools (e.g., Prisma Cloud, Wiz, Orca) and SIEM / IDS / IPS platforms.
- Experience securing containerized and Kubernetes-based environments.
- Familiarity with CI/CD security integrations (e.g., Snyk, GitHub Advanced Security, or similar).
- Solid understanding of network security, encryption, identity, and access management.
- Experience with application security testing tools (SAST, DAST, SCA).
- Working knowledge of security frameworks and standards such as ISO 27001, NIST, and CIS.
- Strong analytical, troubleshooting, and problem-solving skills.
Nice to Have:
- Experience with DevSecOps automation and security-as-code practices.
- Exposure to threat intelligence and cloud security monitoring solutions.
- Familiarity with incident response frameworks and forensic analysis.
- Security certifications such as CISSP, CISM, CCSP, or CompTIA Security+.
Perks, Benefits and Work Culture:
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.
Top college graduate with experience as Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ EX-Customer Success profile
Mandatory (Experience 1): Must have minimum 4+ years of experience in any of role (Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ Ex-Customer success) profile
Mandatory (Experience 2): Must have strategic thinking and good communication skills
Mandatory (Experience 3): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams
Mandatory (Graduation): Only IIT candidates from these IIT only (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati)
Mandatory (Graduation year): 2016 onwards
Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.
Must be strong in one core backend language: Node.js, Go, Java, or Python.
Deep understanding of distributed systems, caching, high availability, and microservices architecture.
Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
Strong command over system design, data structures, performance tuning, and scalable architecture
Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.
Angular (2+)
AngularJS (1.x)
Python
FlaskJob Summary:
Experienced Full-Stack Developer with expertise in Angular (TypeScript) for front-end development and Python Flask for back-end API development. Strong background in Microsoft SQL Server, authentication using Azure AD (MSAL), and implementing efficient API integrations. Skilled in unit testing, debugging, and optimizing performance.
Key Skills:
• Front-End: Angular, TypeScript, PrimeNG, RxJS, State Management, React JS
• Back-End: Python Flask, SQLAlchemy, RESTful API Development
• Database: Microsoft SQL Server (SQL, Joins, Query Optimization)
• Authentication: Azure AD, MSAL, JWT-based authentication
• DevOps & Deployment: Git, CI/CD (Azure DevOps, GitHub Actions)
• Additional: data validation, pagination, performance tuning
React.js- Front-End Development and JavaScript skills
- Back-End Web Development and Software Development skills
- Experience with Redux.js
- Strong problem-solving and analytical skills
- Ability to work in a collaborative team environment
- Bachelor's degree in Computer Science or related field
∙3-5 years of development experience
∙Working experience in Front end skill: ReactJS, HTML, CSS, JavaScript.
∙Working experience in Web Services (REST)
∙Database knowledge would be an added advantage.
∙Experience in Backend like Java Spring boot would be an added advantage.
Certifications Needed:
- ∙Bachelor's or master’s degree in computer science, Information Systems, Engineering or equivalent.
JavaWe seek a full-time engineer with experience developing domain-specific languages (DSLs) and Code generators using the Eclipse Xtext framework.
Responsibilities:
• Enhance existing DSL and Code generator
• Writing unit tests
• Reviewing code
• Constant engagement with the domain experts and translate the knowledge into the DSL
• Write clean and high-quality unit tested code.
Requirements:
• Must have a Bachelor's degree in computer science or equivalent
• Must have at least four years of experience in Software development
• Knowledge in Xtext, Xbase, and EMF is a must
• Must have developed DSL's or maintained existing DSLs
• Must be proficient in Core Java and Java 8
• Should have good knowledge of Design patterns.
Java
Spring Boot
Amazon Web Services (AWS)
MongoDBAbout Root Node
We’re an early-stage startup building intelligent tools for planning, scheduling, and optimization—starting with timetabling and warehouse logistics. Backed by deep domain expertise and a growing customer pipeline, we’re now building our core tech team. This is not just a coding job — it's a chance to build something meaningful from the ground up.
About the job
- Design and implement robust backend systems and APIs using Java or similar backend language and Spring Boot or equivalent frameworks
- Integrate backend services with existing custom ERP systems
- Work closely with the founder on product architecture, feature prioritization, and go-to-market feedback
- Take full ownership of features — from system design and development to deployment and iterative improvements
- Help shape our engineering culture and technical foundations
You're a Great Fit If You:
- Have 3+ years of experience in backend development
- Are strong in Java or similar languages (e.g., Kotlin, Go, Node.js)
- Have solid experience with Spring Boot or equivalent backend frameworks
- Have integrated with ERP or enterprise systems in production environments
- Are comfortable with both SQL (PostgreSQL) and NoSQL (MongoDB)
- Understand REST API development, authentication, Docker
- Have an entrepreneurial mindset — you're excited about ownership, ambiguity, and making decisions that shape the product and company
- Want more than just a job — you want to build, solve, and learn rapidly
What We Offer
- Competitive salary
- High degree of ownership and autonomy
- Ability to shape the tech and product direction from Day 1
- Transparent and fast decision-making culture
- A builder’s environment — solve real-world problems with real impact
Role: Director of Field Sales
About the Role
If you have a flair for the field, you love achieving targets, thrive in managing large teams, enjoy the blend of the chaos & the nuances of data, with a dream to take this from a 12 cr to a 50 Cr team (ARR), then we would love to have a chat with you.
We envisaged this vertical to drive and tap the unlimited potential of the retail market across India. It's a wonderful problem to solve considering the vertical has grown 6X in 12 months.
As the Director of Field Sales, you will be responsible for leading a large sales team and driving revenue growth for the company. You will work closely with the executive team to develop and execute the company's sales strategy, while also managing the day-to-day operations of the sales team.
What you will be doing
● Develop and execute a comprehensive sales strategy that drives revenue growth for the company
● Build and lead a high-performing sales team of 200+ that consistently exceeds sales targets
● Develop and maintain strong relationships with key customers and partners
● Analyze sales data and market trends to identify opportunities for growth
● Manage the sales budget and ensure that all sales activities are aligned with the company's financial
goals
● Develop and implement sales training programs to ensure that the sales team is equipped with the skills
and knowledge needed to succeed
● Ensure that all sales activities are in compliance with company policies and procedures
● Provide regular updates to the executive team on sales performance, market trends, and other key
metrics
What we are looking for
● Someone with 10 + years of experience managing a sales team in product-based start-up
● Someone who has successfully managed field sales of more than 200 people in the past
● Someone who has seen a scale of at least 50 crore net revenue per annum
● Someone who is analytically strong and has a good grip on numbers
PythonResponsibilities
- Define DFT strategy and methodologies
- Design the DFT features
- Define test structures, debug structures, and test plans
- Create test vectors or oversee their creation
- Collaborate with physical design team to close requirements
- Validate DFT requirements are being met
- Work with designers to increase test coverage, debug observability and flexibility
- Verify post-PD designs meet DFT requirements
- Work with verification engineers, stepping in to do run tests when needed
Requirements
- Good knowledge of digital logic design, microprocessor, debug feature, DFT architecture, CPU architecture, and microarchitecture
- Knowledge of DFT and structural debug concepts and methodologies: JTAG, IEEE1500, MBIST, scan dump, memory dump
- Knowledge of Verilog and experience with simulators and waveform debugging tools
- Knowledge of Verilog / SystemVerilog
- Knowledge of Python, , Shell scripting, Makefiles, TCL a plus
- Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated.
- Ability to work well in a team and be productive under aggressive schedules.
Note:
Annual job salary: The annual job salary mentioned in this posting is a default number taken by cutshort and is inaccurate. <Not mentioned/ disclosed by Rivos>
Resumes:
Interested folks with 3+ years of experience to 20 years of experience into Silicon DFT, Please reach out to the Recruiter Deepa Savant to learn more about the job and discuss details.
Data Science
R ProgrammingPythonculture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.
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