Staff DevSecOps Engineer
NewPage Solutions
Full time- 4+ years
- Not Disclosed
- Remote ( India), India
- Post Date: Jun 09, 2026
- End Date: Sep 09, 2026
- 4+ years
- Not Disclosed
- Remote ( India), India
- Post Date:Jun 09, 2026
- End Date: Sep 09, 2026
Skills:
- Amazon Web Services (AWS)
- Typescript
- DevOps
- Python
- Artificial Intelligence
- Machine Learning
- CISSP
- Golang
- CI/CD
Job Description:
Responsibilities
- Define and own the DevSecOps reference architecture across the client's cloud estate — landing zones, account/subscription vending, identity, secrets, network segmentation, and workload isolation patterns — applied consistently whether on AWS (preferred), Azure, or GCP.
- Set the multi-year roadmap for shift-left security, supply-chain integrity, runtime protection, and continuous compliance evidence collection across regulated and non-regulated workloads.
- Act as the senior technical voice in client steering committees, security architecture reviews, and audit readiness sessions; translate regulatory intent into engineering requirements that teams can implement.
- Mentor and coach Newpage and client engineers; raise the bar on secure coding, threat modeling, and incident response across the account.
- Engineer Security Into the Cloud Estate
- Design and operate hardened, multi-account or multi-subscription landing zones — AWS Control Tower / Organizations / SCPs / Identity Center (preferred), Azure Landing Zones / Management Groups / Policy, or GCP Organization Policy / Folders — with guardrails enforced as code.
- Build paved-road CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Azure DevOps, or Jenkins) with integrated SAST, DAST, SCA, secrets scanning, IaC scanning, container scanning, and SBOM generation.
- Implement policy-as-code using OPA/Rego, Checkov, and cloud-native equivalents (AWS Config Rules / CloudFormation Guard, Azure Policy, GCP Organization Policy); enforce at pull-request time and in production.
- Operationalize cloud-native security services end-to-end — AWS GuardDuty / Security Hub / Macie / Inspector / IAM Access Analyzer / KMS / Secrets Manager / WAF (primary), with working knowledge of Microsoft Defender for Cloud / Sentinel and GCP Security Command Center.
- Lead Kubernetes and container security across managed offerings (EKS preferred; AKS, GKE accepted), including admission control, image signing (Sigstore/Cosign), runtime threat detection (Falco or equivalent), and Pod Security Standards enforcement.
- Drive supply-chain security to SLSA-aligned maturity: signed builds, attested artifacts, dependency provenance, and verified deploys.
- Own Regulated & Pharma-Specific Controls
- Engineer controls that satisfy GxP, 21 CFR Part 11, Annex 11, HIPAA, GDPR, and the client's global information security standards — without slowing delivery teams down.
- Design continuous compliance evidence pipelines that auto-generate audit artifacts for FDA, EMA, and internal QA inspections, replacing manual screenshotting and ticket-based attestations.
- Partner with Computer System Validation (CSV) and Computer Software Assurance (CSA) teams to align DevSecOps tooling with validated-state expectations for clinical, manufacturing, and pharmacovigilance systems.
- Champion data protection for sensitive scientific IP, clinical trial data, and patient-adjacent datasets — tokenization, encryption strategy, and least-privilege access across cloud data services (e.g., S3 / Redshift / RDS / Lake Formation on AWS, or equivalents on Azure and GCP).
- Drive Detection, Response & Resilience
- Engineer detection-as-code and response automation in collaboration with the client SOC; tune findings, suppress noise, and ensure every signal is actionable.
- Run blameless postmortems for security incidents and near-misses; convert lessons into durable engineering improvements.
- Establish security SLOs and meaningful metrics — mean time to remediate, control coverage, drift, and developer-impacting friction.
- Influence Across Client and Practice
- Build trust with the client's senior security, platform, and quality leadership; become the person they call before launching a new initiative.
- Contribute to Newpage's internal DevSecOps practice: reusable accelerators, case studies, hiring loops, and the next generation of senior engineers across the company.
Qualification & Experience
- 8+ years of professional experience in security engineering, platform engineering, or SRE, with at least 4 years leading DevSecOps initiatives at scale.
- Deep, current expertise with at least one major public cloud at production scale — AWS is strongly preferred (you have personally designed and operated multi-account environments with 50+ accounts); Azure or GCP at equivalent depth will be considered.
- Working familiarity with at least one additional cloud beyond your primary — enough to design controls that translate cleanly across providers.
- Strong hands-on coding skills in at least one of Python, Go, or TypeScript, and fluency in infrastructure-as-code with Terraform (cloud-agnostic mastery preferred; CDK, Bicep, or Pulumi also welcome).
- Demonstrable experience embedding security into CI/CD pipelines and developer workflows for engineering organizations of 200+ developers.
- Working knowledge of Kubernetes security on at least one managed offering (EKS preferred; AKS or GKE accepted) — including network policy, admission control, and supply-chain controls.
- Track record of operating in a regulated industry — pharma, healthcare, financial services, or critical infrastructure — and translating compliance frameworks into engineering controls.
- Excellent written and verbal communication skills; comfortable presenting to a client CISO one day and pairing with a junior engineer the next.
- Nice to have Direct experience with pharma or life-sciences workloads: GxP, 21 CFR Part 11, Annex 11, CSV/CSA, pharmacovigilance systems, or clinical data platforms.
- Nice to have Exposure to threat modeling frameworks (STRIDE, PASTA), MITRE ATT&CK, and threat-informed defense.
- Nice to have Experience with policy-as-code (OPA/Rego, Cedar) and continuous compliance platforms (Wiz, Prisma Cloud, Orca, Drata, Vanta) at enterprise scale.
- Nice to have Hands-on with secret management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager) and zero-trust networking patterns.
- Nice to have Relevant certifications such as AWS Security Specialty (preferred), Azure Security Engineer Associate, Google Professional Cloud Security Engineer, CISSP, CCSP, OSCP, or GIAC GCSA — credentials are a signal, not a substitute for evidence.
- Nice to have Familiarity with AI/ML pipeline security and the emerging risks around generative AI in regulated environments.
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