Engineering Manager - DevOps

Pathlock

India

Hybrid

INR 4,000,000 - 8,000,000

Full time

8 days ago
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Job summary

Pathlock, a leader in application security and compliance automation, seeks an experienced Engineering Manager to lead a global DevOps team for a multi-tenant SaaS platform on Azure and AWS. You will drive reliability, security, cost optimization, and delivery through automation and AI-enabled practices.

The role requires hands-on platform leadership, strong SRE, and the ability to scale teams across India, Israel, and Brazil while partnering with Product, Security, and Customer Success teams to

Qualifications

  • Experience in Site Reliability and Platform Engineering leadership.
  • Strong background in DevOps, cloud infrastructure, and multi-region SaaS ops.
  • Proven ability to lead globally distributed teams and incidents.

Responsibilities

  • Lead and grow a distributed team of 10 engineers across multiple regions.
  • Own reliability, security, and performance of multi-tenant SaaS on Azure and AWS.
  • Define and improve SLOs/SLIs and operational KPIs with data-driven decisions.
  • Coordinate P1/P2 incidents with clear communications and RCA follow-ups.
  • Drive GitOps and IaC with ArgoCD, Helm, Terraform, and GitHub Actions.

Skills

Site Reliability Engineering
Platform Engineering
DevOps
Cloud Infrastructure
Kubernetes
Grafana/Observability

Tools

ArgoCD
Helm
Terraform
Bicep
GitHub Actions
OpenTelemetry

Job description

Pathlock is a leader in application security, access governance, and compliance automation. Our cloud solutions help organizations secure critical applications, mitigate risk, and enforce policies across diverse IT environments.

Our platform is built on modern cloud-native architecture, leveraging advanced services for compute, networking, security, and observability. Experience with enterprise-grade cloud platforms and container orchestration is highly valued in this role.

Role Overview

Pathlock is seeking an experienced Engineering Manager to lead our DevOps team. This role combines people leadership, operational excellence, and technical stewardship for a multi-tenant SaaS platform running across Azure and AWS globally. You will lead a globally distributed team of DevOps engineers and platform automation specialists responsible for reliability, performance, security, cost optimization, and delivery execution. The ideal candidate is a hands-on platform leader with a strong DevOps background who can build high-performing teams, drive operational rigor, lead through production incidents, and scale both people and systems through automation and AI-enabled engineering practices.

What You Will Do
  • Lead, coach, and grow a distributed team of 10 engineers across India, Israel, and Brazil.
  • Conduct regular 1:1s, performance reviews, career development planning, and succession planning for team members.
  • Own the reliability, availability, performance, security posture, and operational health of a multi-region, multi-tenant SaaS platform running on Azure and AWS.
  • Define, measure, and continuously improve service-level objectives (SLOs), service-level indicators (SLIs), and operational KPIs.
  • Maintain clear visibility into team execution, operational risks, and delivery commitments, using data, metrics, and artifacts to drive accountability and decision-making.
  • Personally lead and coordinate P1 and P2 production incidents, ensuring timely resolution, clear stakeholder communication, and strong operational discipline.
  • Ensure customer-grade root cause analyses (RCAs) are delivered on schedule, with corrective and preventive actions tracked through completion.
  • Drive proactive monitoring, alerting, observability, and platform health initiatives using Grafana Cloud and modern cloud-native tooling.
  • Partner closely with Product, Security, Engineering, Customer Success, and Support teams to align platform priorities with business objectives.
  • Oversee cloud infrastructure and platform operations across Kubernetes, databases, networking, automation, and deployment systems.
  • Drive GitOps and infrastructure-as-code practices using ArgoCD, Helm, Bicep, Terraform, GitHub Actions, and related automation technologies.
  • Foster a strong culture of documentation, operational readiness, runbooks, postmortems, and continuous improvement.
  • Champion engineering excellence through automation, reliability engineering practices, security-by-default principles, and AI-assisted workflows.
  • Establish clear accountability, visibility, and execution discipline across the team while maintaining a high bar for operational ownership and customer experience.
Minimum Qualifications
  • 6+ years of engineering experience, including 3+ years managing DevOps, Platform Engineering, or Infrastructure teams of 5 or more engineers in multiple geographies.
  • Proven success operating within globally distributed engineering organizations spanning multiple time zones and cultures, with a track record of partnering effectively with leadership teams across North America, Israel, and India.
  • Demonstrated ability to operate effectively as a bridge between globally distributed teams, translating business priorities into clear technical execution and ensuring alignment across regions and functions.
  • Track record of building high-trust, high-accountability engineering cultures that emphasize ownership, transparency, and continuous improvement.
  • Exceptional verbal and written English communication skills, with the ability to communicate complex technical and operational topics clearly to engineers, executives, customers, and cross-functional stakeholders.
  • Strong hands-on technical background in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Infrastructure prior to moving into management.
  • Experience carrying production on-call responsibilities and operating mission-critical systems in a 24×7 environment.
  • Proven experience running large-scale, multi-tenant SaaS platforms, preferably across multiple regions and cloud providers.
  • Proven track record of leading organizational change by embedding AI-assisted workflows into engineering, operations, incident management, documentation, and software delivery processes, resulting in measurable improvements in productivity, quality, operational efficiency, and delivery outcomes.
  • Deep expertise with Azure and/or AWS cloud platforms.
  • Strong Kubernetes experience, including AKS or EKS, containerized workloads, and production operations.
  • Experience with Helm, GitOps workflows, ArgoCD, or equivalent deployment automation platforms.
  • Hands-on experience with infrastructure-as-code using Bicep, Terraform, ARM, or similar tools, with strong emphasis on reproducibility and version control.
  • Strong observability expertise using Grafana, Prometheus, Loki, Tempo, OpenTelemetry, or equivalent monitoring and telemetry platforms.
  • Experience operating and supporting relational databases (MSSQL) at scale, running on RDS and Azure Elastic Pool.
  • Deep understanding of incident management, escalation processes, operational readiness, and customer-facing RCA practices.
  • Demonstrated ability to hire, mentor, and retain high-performing engineering teams across multiple geographies and time zones.
  • Strong organizational skills with the ability to maintain visibility into team priorities, execution progress, and operational risks.
  • Evidence-based decision maker who uses metrics, artifacts, and operational data to guide priorities and communicate status.
  • Outcome-focused leader who balances delivery velocity with reliability, stability, and customer experience.
  • Direct and effective communicator who can collaborate comfortably with senior leaders, engineers, and customer-facing stakeholders.
  • Strong sense of ownership and a bias for action during high-pressure operational events.
Preferred Qualifications
  • Experience managing Windows-based containerized applications.
  • Experience building internal developer platforms, self-service infrastructure, or platform engineering capabilities
  • Experience scaling engineering organizations through process automation, AI-assisted tooling, and operational excellence programs
  • Familiarity with cloud security frameworks, compliance requirements, and enterprise security best practices
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