InvestCloud - Lead DevOps Engineer (5-10 yrs)

Description :

Please note the first round would be F2F. Location : Vaishnavi Tech Park, Sarjapur Main Rd, Bellandur, Bengaluru

Currently looking for Bangalore Based candidates.

What Youll Do :

- Own end-to-end GitLab CI/CD pipeline design and operations - build, test, security scans, artifacting, environment promotion, and release automation - aligned to APLs SDLC standards and environments (ATX/HOX for automation, DTQA, IVV, CERT, PROD).

- Implement and evolve safe deployment practices (e.g., fully automated pipelines, blue/green or sharded deployments) to reduce risk and enable frequent, reliable releases.

- Partner with Tech Ops/Networking to configure and secure runner connectivity (tags, protected runners, firewall rules) for deployments to AIX subnets and target hosts, ensuring compliant SSH key management and protected variables.

- Build and maintain deployment automation and configuration management for AIX-hosted Dyalog APL services and related Linux/Windows components, with clear runbooks and rollback strategies.

- Integrate quality gates into pipelines, including static analysis, unit/integration/E2E tests, and semantic release notes, in alignment with APLs automation direction.

- Improve observability and operational readiness (logging, metrics, tracing) and align with our modernization emphasis on enterprise observability as part of platform advancement.

- Champion standards from APL Fundamentals (configuration in GitLab, continuous verification, environment strategy) and Architecture Principles (automation-first, CI/CD per module, testing in pipelines).

- Troubleshoot and remediate pipeline, runner, and environment issues; drive root-cause analysis; and proactively harden delivery systems over time.

- Mentor engineers and partner teams to adopt best practices in pipeline design, test automation, and release management across APLs codebases and environments.

What You Bring :

- 5+ years in DevOps or Platform Engineering with production-grade CI/CD for multi-repo environments (GitLab preferred), including runner orchestration, tags, protected branches/variables, and pipeline security controls.

- Strong Linux/Unix administration; AIX experience or appetite to learn is a plus given APLs runtime landscape.

- Proficiency automating build/deploy operations with Bash/Python or PowerShell and infrastructure scripting (e.g., SSH, packaging, artifact management).

- Practical experience integrating security and quality gates in pipelines (e.g., static analysis, linting, unit/integration testing, E2E), and releasing with semantic versioning and changelogs.

- Familiarity with end-to-end test frameworks such as Playwright and integration frameworks such as Reqnroll and their execution within CI/CD.

- Knowledge of environment promotion patterns (DTQA - IVV - CERT - PROD), release orchestration, and rollbacks in enterprise settings.

- Excellent collaboration with Tech Ops/Networking and product engineering teams; strong documentation and runbook discipline.

Nice to Have :

- Exposure to Dyalog APL and/or legacy modernization patterns (refactoring for testability, reliability, and performance).

- Experience with blue/green or sharded deployment strategies at scale in regulated or mission-critical domains.

- Observability tooling and practices for logs/metrics/traces.

- Familiarity with wealth management and managed accounts workflows (models, rebalancing, post-trade ops).

How We Work In APL (What To Expect) :

- CI/CD and quality are strategic levers : pipelines include linting, security scanning, multi-level testing, semantic releases, and automated environment promotion.

- Configuration and client configurations are managed in GitLab, and teams aim for fully automated and safe deployments (blue/green or sharded).

- Networking and runner strategy matter : we collaborate with Tech Ops to ensure GitLab runners can securely reach AIX subnets and target hosts with the right firewall and key configurations.

- We are scaling full-stack CI/CD in APL Fundamentals, building shared capabilities for DevOps, performance, and resilience across APL teams.