Hiring SOC Investigation Specialist on behalf of high-growth technology and enterprise partners building next-generation SOC automation and AI-driven investigation systems. This role is ideal for experienced SOC analysts who can apply real-world investigative judgment to review, validate, and construct high-quality security investigations across SIEM, endpoint, cloud, and identity environments.

Responsibilities

Review, monitor, and evaluate SOC alerts and investigation outputs based on predefined scenarios and criteria.
Distinguish true positives from false positives by validating investigative evidence and alert context.
Perform end-to-end security investigations when required, including log analysis, entity pivoting, timeline reconstruction, and evidence correlation.
Assess the correctness, completeness, and quality of SOC investigations produced by automated or human workflows.
Apply consistent investigative judgment while recognizing that multiple valid investigation paths may exist for the same alert.
Make clear binary determinations (e.g., ACCEPT / PASS) while also producing detailed ground-truth investigations when required.
Use Splunk extensively to pivot across logs, entities, and timelines, including reading and reasoning about SPL queries.
Maintain clear and accurate documentation of investigative steps, assumptions, evidence, and conclusions.
Collaborate with program leads and other expert annotators to uphold high-quality investigation and annotation standards.
Mentor or support other analysts where applicable, particularly in long-term or lead annotator roles.

Requirements

3+ years of hands-on experience as a SOC analyst in a production SOC environment (Tier 2 or above strongly preferred).
Strong understanding of alert triage, incident investigation workflows, and evidence-based decision-making under time constraints.
Mandatory hands-on experience with Splunk, including:
Conducting investigations using Splunk
Reading, understanding, and reasoning about SPL queries
Pivoting between logs, entities, and timelines
Proven ability to evaluate SOC investigations and determine whether conclusions are valid, incomplete, or incorrect.
Strong investigative judgment and comfort making decisive evaluations.
Fluent English (written and spoken) with strong documentation and communication skills.

Nice to Have

Experience with Endpoint Detection & Response (EDR) tools such as CrowdStrike Falcon, Microsoft Defender for Endpoint, or SentinelOne.
Experience analyzing cloud security logs and signals:
AWS (CloudTrail, GuardDuty)
Azure (Activity Log, Defender for Cloud)
GCP (Cloud Audit Logs)
Familiarity with Identity & Access Management platforms such as Okta Identity Cloud or Microsoft Entra ID (Azure AD).
Experience with email security tools like Proofpoint or Mimecast.
SOC leadership or mentoring experience.
Basic scripting experience (Python or similar).
Security certifications (optional): GCIA, GCIH, GCED, Splunk certifications, Security+, CCNA, or cloud security certifications.

Responsibilities

Review, monitor, and evaluate SOC alerts and investigation outputs based on predefined scenarios and criteria.
Distinguish true positives from false positives by validating investigative evidence and alert context.
Perform end-to-end security investigations when required, including log analysis, entity pivoting, timeline reconstruction, and evidence correlation.
Assess the correctness, completeness, and quality of SOC investigations produced by automated or human workflows.
Apply consistent investigative judgment while recognizing that multiple valid investigation paths may exist for the same alert.
Make clear binary determinations (e.g., ACCEPT / PASS) while also producing detailed ground-truth investigations when required.
Use Splunk extensively to pivot across logs, entities, and timelines, including reading and reasoning about SPL queries.
Maintain clear and accurate documentation of investigative steps, assumptions, evidence, and conclusions.
Collaborate with program leads and other expert annotators to uphold high-quality investigation and annotation standards.
Mentor or support other analysts where applicable, particularly in long-term or lead annotator roles.

Requirements

3+ years of hands-on experience as a SOC analyst in a production SOC environment (Tier 2 or above strongly preferred).
Strong understanding of alert triage, incident investigation workflows, and evidence-based decision-making under time constraints.
Mandatory hands-on experience with Splunk, including:
Conducting investigations using Splunk
Reading, understanding, and reasoning about SPL queries
Pivoting between logs, entities, and timelines
Proven ability to evaluate SOC investigations and determine whether conclusions are valid, incomplete, or incorrect.
Strong investigative judgment and comfort making decisive evaluations.
Fluent English (written and spoken) with strong documentation and communication skills.

Nice to Have

Experience with Endpoint Detection & Response (EDR) tools such as CrowdStrike Falcon, Microsoft Defender for Endpoint, or SentinelOne.
Experience analyzing cloud security logs and signals:
AWS (CloudTrail, GuardDuty)
Azure (Activity Log, Defender for Cloud)
GCP (Cloud Audit Logs)
Familiarity with Identity & Access Management platforms such as Okta Identity Cloud or Microsoft Entra ID (Azure AD).
Experience with email security tools like Proofpoint or Mimecast.
SOC leadership or mentoring experience.
Basic scripting experience (Python or similar).
Security certifications (optional): GCIA, GCIH, GCED, Splunk certifications, Security+, CCNA, or cloud security certifications.

Remote Data Automation Specialist Intern

at Springer Capital

Posted by Andrew Rose

Remote only

0 - 6 yrs

₹5000 - ₹7000 / mo

Data Analytics

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.

Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.

As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital.

Key Responsibilities:

Collect data from various sources, including databases, APIs, and web scraping tools.
Clean and process raw data to ensure it is accurate and consistent.
Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
Communicate insights in a clear and concise manner with the manager alongside your progress.
Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client.

Qualifications:

Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace.
Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.
Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively.
Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.

Key Responsibilities:

Collect data from various sources, including databases, APIs, and web scraping tools.
Clean and process raw data to ensure it is accurate and consistent.
Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
Communicate insights in a clear and concise manner with the manager alongside your progress.
Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client.

Qualifications:

Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace.
Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.
Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively.
Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics

Fullstack Engineer (Python, React Tier 1 college only

at Talent Pro

Posted by Mayank choudhary

Bengaluru (Bangalore)

1 - 3 yrs

₹20L - ₹27L / yr

Python

React.js

Strong Full Stack Engineer profiles

Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)

Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments

Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces

Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries

Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices

Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes

Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks

Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies