This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Technical Program Manager - InfoSec based in India.
This is a senior technical program leadership role focused on security, cloud infrastructure, and large-scale engineering environments.
You will coordinate complex programs spanning multiple engineering teams, product groups, legal stakeholders, and enterprise commitments.
A key focus will be driving cloud security initiatives, remediation programs, audit readiness, and secure operational practices.
The role combines strong program management with hands-on technical depth, including architecture reviews, production systems, security tooling, and incident analysis.
You will help establish scalable mechanisms for prioritization, intake, launch readiness, and long-term program execution.
The position requires the ability to reason deeply about distributed systems, cloud architecture, security data, and modern software development.
Working remotely from India, you will have significant influence on security programs supporting critical experiences at massive scale.
Accountabilities:
- Lead and coordinate complex technical programs and multiple workstreams across Product Engineering, Security, Legal, and enterprise-facing initiatives.
- Own the program management layer for cloud security efforts, including security control rollouts, remediation service-level agreements, governance, and audit readiness.
- Build scalable execution mechanisms, including product-style intake processes, prioritization frameworks, program operating rhythms, and launch readiness reviews.
- Partner with Product Management, Engineering, Build, Architecture, and leadership teams to drive successful product launches and smooth deprecation of legacy tooling.
- Coordinate security programs spanning multiple engineering teams and maintain clear ownership, milestones, dependencies, risks, and outcomes.
- Participate confidently in architecture reviews, technical design discussions, build documentation reviews, and post-incident debriefs.
- Read and reason about production code in modern programming languages such as Python, Go, and Java to effectively engage with engineering teams.
- Evaluate cloud infrastructure at the architecture level, with particular focus on AWS security, reliability, scalability, cost, latency, and failure modes.
- Directly analyze metrics, logs, dashboards, SIEM data, and service-level objective burn rates to assess security and operational performance.
- Drive programs involving cloud security and posture management, Kubernetes runtime security, security data pipelines, SIEM, security automation, and SOAR.
- Support programs involving machine learning and LLM-enabled products, including training and evaluation pipelines, security considerations, and readiness for general availability.
- Develop durable program frameworks, operating mechanisms, documentation, and processes that improve execution consistency across teams.
- Coordinate major security incidents when required and help ensure lessons learned are translated into sustainable program improvements.
Requirements:
- 10+ years of technical program management experience, including at least 5 years supporting security, cloud, data platform, infrastructure, or similarly complex technical organizations at scale.
- Prior individual contributor engineering experience in software, security, data, SRE, or a comparable technical discipline.
- Demonstrated ownership of programs spanning multiple engineering teams, ideally with regular engagement and reporting at Director level or above.
- Proven experience shipping products or major technical initiatives, including general availability launches, launch readiness, and post-launch operational management.
- Strong expertise in at least three of the following areas: cloud security and posture management, Kubernetes runtime security, security data pipelines and SIEM, security automation, and SOAR.
- Ability to review and challenge technical architecture and build documents, with a strong understanding of distributed systems, latency, efficiency, cost, reliability, and failure modes.
- Strong understanding of cloud infrastructure and security architecture, particularly within AWS or comparable cloud environments.
- Familiarity with ML- or LLM-integrated products, including training and evaluation pipelines and the technical judgment required to assess production readiness.
- Strong analytical and problem-solving skills, with the ability to translate complex technical risks into clear program priorities and execution plans.
- Excellent written and verbal communication skills, with demonstrated ability to influence engineers, technical leaders, product stakeholders, and executives.
- Proven ability to create sustainable program frameworks, mechanisms, and operating processes rather than simply managing individual projects.
- A degree in Computer Science or a comparable technical background is an asset.
- Experience with major SIEM and SOAR platforms, cloud-provider security services, or Kubernetes-native security tooling is an advantage.
- Experience coordinating Sev 1 or Sev 2 incidents is a plus.
- Background in data protection, privacy, or Data Loss Prevention (DLP) programs is desirable.
Benefits:
- Fully remote position based in India, with occasional opportunities to visit an office for team events or meetings.
- Competitive total rewards package that may include performance bonuses or incentive compensation.
- Retirement savings benefits, depending on applicable local programs.
- Potential equity or employee stock purchase plan participation, depending on role and eligibility.
- Competitive health and wellness benefits.
- Paid time off and applicable public holidays.
- Family-friendly benefits, including parental leave.
- Opportunities to work on large-scale security, cloud infrastructure, and engineering programs.
- A collaborative environment that supports experimentation, continuous learning, and professional development.
- Employee Resource Groups and initiatives supporting diversity, inclusion, and belonging.
- Opportunities to work alongside highly technical teams and influence security practices across complex, globally scaled systems.
- Support for learning and career growth through exposure to modern cloud, security, infrastructure, and AI technologies.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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