Principal Cyber Vulnerability Engineer Dallas or Detroit metro (Hoschton)

Principal Cyber Vulnerability Engineer The Cyber Vulnerability Operations Team consists of the Application Security (AppSec) teams and the Vulnerability Management Operations (VM Ops) teams. Together, the Vulnerability Operations team collaborates with peers across Comerica to provide visibility into vulnerabilities within applications and infrastructure and ensures they are remediated, as well as facilitates and enforces the use of secure development practices across the bank. The Principal Cyber Vulnerability Operations Engineer is responsible for vulnerability scanning, prioritizing vulnerabilities, and driving remediations while partnering with the application and infrastructure teams. The ideal candidate will have hands‑on expertise in vulnerability management and operations, knowledge of tools such as Qualys and PowerBI, experience with Windows/Linux/Unix server administration, and coding in one programming language. Experience with cross‑functional teams and automation is required. A background in Qualys Policy management, PCI Compliance, and VMDR modules is also critical. Position Responsibilities Perform vulnerability assessments and baseline control scans across the Comerica environment; report on Key Risks Indicators (KRIs). Lead security vulnerability and risk management activities, identifying vulnerabilities and supporting application/system owners to manage risks and remediate vulnerabilities. Establish and mature processes around vulnerability management, remediation, and reporting. Lead key projects such as vulnerability prioritization to remediate critical vulnerabilities. Participate in vendor evaluations and selection for vulnerability management products, including external attack surface management solutions; implement and support those products on an ongoing basis. Stay current on vulnerability management best practices across the industry. Develop a comprehensive set of metrics to track enterprise risks and remediation trends; keep management informed through accurate, timely reporting. Support monthly KRI reporting by collecting data and working with application and infrastructure teams to remediate vulnerabilities. Create presentations based on KRI materials and keep management informed. Drive technical excellence and implementation of vulnerability management best practices in collaboration with technology teams across the enterprise. Provide consultation and close collaboration with other infrastructure departments and vendors to meet organizational and business goals. Automate existing manual processes to improve delivery speed. Coach and mentor junior team members and application teams on vulnerability remediation efforts. Identify and communicate gaps in vulnerability management practices. Participate in Red Team exercises to proactively identify potential vulnerabilities. Partner with application and infrastructure owners to provide consulting on remediation of large, complex vulnerabilities within SLAs, reducing risk for the bank. Develop cyber vulnerability analysis and related metrics and reporting deliverables. Position Qualifications Bachelor’s Degree in Computer Science, Engineering, Information Systems, Cybersecurity, or Business Administration, or equivalent experience. 12 years of relevant experience or higher education and work experience equivalent. 6 years of experience in Cyber or Information Security, preferably in Vulnerability Management and Security within the financial services industry. 5 years of experience collaborating across Enterprise IT and Security to remediate vulnerabilities identified. 3 years of experience with programming concepts and fundamentals (e.g., Python, .NET, Java, JavaScript, PowerShell) and ability to automate with those tools. 3 years of experience in Qualys Policy management, PCI Compliance, and VMDR modules. 3 years of experience or working knowledge in server administration. 2 years of experience coaching/mentoring contractors. 2 years of experience in vulnerability assessments, including creation, maintenance, and troubleshooting of scan configurations across the enterprise. 2 years of experience with Vulnerability Management across cloud platforms and EVM management/prioritization. 2 years of experience with endpoint protection technologies. Location: Auburn Hills Operations Center Hours: 8:00am – 5:00pm Monday–Friday J-18808-Ljbffr

Director, Product Marketing (Natick)

Aila Technologies is the leading provider of frontline intelligence that enables the world's largest enterprises to operate faster, smarter, and more reliably. Our unified platform includes computer vision, on-device AI, and next-generation services that redefine and automate critical workflows for retail, healthcare, transportation, and manufacturing. We empower employees, modernize operations, and deliver exceptional experiences. We're an entrepreneurial team focused on solving real operational challenges for large organizations. Our collaborative, hands‑on culture empowers individuals to take ownership, move quickly, and make a meaningful impact as we continue to scale. Position Overview We are seeking a Director of Product Marketing to shape how enterprise customers understand Aila's differentiated platform and approach to frontline intelligence. Reporting to the SVP of Marketing, you will develop deep expertise in our customers, markets, and competitive landscape, translating Aila's computer vision, workflow automation, and on‑device AI platform into clear, compelling messaging that resonates with enterprise buyers. Working cross‑functionally with product, sales, partnerships, and engineering, you will own positioning, product launch strategy, and sales enablement to differentiate Aila in the market and accelerate growth. The ideal candidate combines strategic thinking with hands‑on execution. They are equally comfortable developing positioning and messaging, enabling sales, guiding product launches, guiding creative execution, and providing the market insights that help the broader marketing organization create compelling, customer‑focused content. What Initial Success Looks Like Develop deep expertise in Aila's platform, products, services, and priority industries, translating complex capabilities into clear, differentiated positioning and messaging that resonates with enterprise buyers. Strengthen and evolve Aila's messaging framework by developing deep customer, market, and competitive insights that drive consistency across marketing, sales, and partner channels. Lead the go‑to‑market strategy and execution for product launches and vertical sales plays, from positioning and launch planning through sales enablement and cross‑functional activation. Equip sales, partnerships, and marketing with the positioning, customer stories, presentations, battlecards, and strategic guidance needed to confidently differentiate Aila in competitive opportunities. Key Responsibilities Develop and evolve differentiated messaging and positioning across Aila's priority industries, with primary focus on retail, healthcare, and airlines. Translate complex platform capabilities across vision, automation, and on‑device AI into customer‑centric value propositions and compelling market narratives. Develop messaging frameworks, personas, competitive intelligence, and supporting guidance that help marketing and sales communicate Aila's value consistently. Ensure factual accuracy and consistency in all product and AI claims across the go‑to‑market surface. Bring deep product and market knowledge to guide technical demonstrations, videos, and thought leadership content that highlight the capabilities customers care about most. Go-to-Market & Launch Drive cross‑functional go‑to‑market planning and execution. Define the audience, message, channel mix, and success metrics for each launch, and coordinate delivery across the team. Use customer feedback and market data to refine messaging and prioritize the highest‑impact opportunities. Build the sales enablement assets that help field teams sell with confidence, including pitch decks, one‑pers, battlecards, and vertical sales plays. Partner closely with the Director of Ecosystem & Partnerships to develop joint value propositions, partner messaging, and vertical sales plays that strengthen co‑sell motions. Serve as the voice of the customer, bringing market, customer, and competitive insights back to product to help shape roadmap priorities and future platform capabilities. Provide strategic messaging guidance, briefs, standards, and review that help the marketing team create consistent, accurate, and effective content at scale. Partner across product, sales, customer success, and marketing to align market needs with go‑to‑market execution. Requirements 10 years of product marketing experience, ideally in enterprise B2B technology, SaaS, or mobile and hardware-software solutions. Proven experience developing messaging, positioning, and go‑to‑market programs for technical products. Strong storytelling ability, with a talent for turning complex capabilities into clear, compelling value propositions. Demonstrated success leading product launches end‑to‑end, from positioning through campaign and enablement. Experience building sales enablement assets and supporting field and partner selling motions. Analytical, data‑informed mindset with comfort using market, customer, and performance insights to guide decisions. Experience marketing into one or more of Aila's core verticals (retail, healthcare, travel and hospitality, aviation, logistics) preferred. Familiarity with AI technologies and a demonstrated interest in using AI tools to improve marketing effectiveness and productivity. Exceptional written and verbal communication, with the ability to engage both technical and executive audiences. Comfortable setting direction for others and raising the quality bar without formal management authority. Highly organized and execution‑oriented, comfortable operating in a fast‑paced, ambiguous environment. Experience conducting market, customer, and competitive research to inform messaging and go‑to‑market strategy. Bachelor's degree required; degree in marketing, business, communications, or a related field preferred. Occasional travel for customer visits, partner meetings, and industry events. Aila Technologies is an equal opportunity employer. All employment decisions are based solely on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, ancestry, age, physical or mental disability, genetic information, military or veteran status, or any other status protected by applicable federal, state, or local law. J-18808-Ljbffr

Principal Solutions Architect (Irvine)

We are seeking an elite Solutions Architect to lead the end-to-end design, sizing, and deployment of NVIDIA AI Factory-aligned infrastructure. In this highly technical, customer-facing role you will translate complex AI and machine learning workload requirements into fully engineered infrastructure solutions spanning colocation facilities, GPU compute, high-performance networking, parallel storage, and the complete NVIDIA AI software stack. You will serve as a trusted technical advisor to enterprise and hyperscale customers, partnering with sales, product, and engineering teams to win and deliver transformational AI infrastructure programs. Your expertise will directly shape how organizations build and operate production AI Factories capable of training frontier models, running large-scale inference fleets, and accelerating data science pipelines at scale. Your Impact Lead discovery workshops to capture AI/ML workload requirements, including model training scale, inference SLAs, data pipeline throughput, and multi-tenancy needs. Architect full-stack AI Factory solutions aligned to NVIDIA reference architectures, integrating colocation, GPU compute, networking, storage, and software layers. Develop detailed Bills of Materials (BOMs), rack elevation diagrams, network topology drawings, and power/cooling budgets for customer proposals. Define GPU cluster architectures using NVIDIA DGX, HGX, and MGX systems with B200, B300, and GB300 Blackwell SXM and NVLink-Switch configurations. Design RTX PRO 6000 Blackwell Server Edition deployments for inference-optimized and enterprise AI workloads. Conduct workload sizing and TCO/ROI modeling to validate infrastructure dimensioning for training, finetuning, and inference at scale. Colocation & Facility Planning Specify colocation requirements including critical power load (MW-scale), UPS and generator configurations, and PUE targets. Design high-density GPU deployments utilizing air-cooled, direct liquid cooling (DLC), and rear-door heat exchanger configurations. Define meet-me room (MMR) and cross-connect requirements; specify carrier-neutral telecom diversity strategies. Engage colocation providers and data center operators to validate capacity availability and negotiate technical SLAs. Coordinate with facilities and MEP engineers to validate power infrastructure from utility feed through PDU to rack level. GPU Compute Infrastructure Architect multi-node GPU clusters optimized for large language model (LLM) pre-training, fine-tuning, and reinforcement learning from human feedback (RLHF). Size and configure DGX SuperPOD, HGX H/B-series, and MGX modular systems based on model parameter count, dataset size, and iteration timelines. Define server firmware, BIOS, BMC, and DGXOS baselines for production GPU infrastructure. Establish GPU health monitoring, RAS (Reliability, Availability, Serviceability) policies, and lifecycle management procedures. High-Performance Networking Design backend GPU fabric networks using NVIDIA Quantum InfiniBand (NDR 400Gb/s and HDR 200Gb/s) for distributed training traffic. Architect Spectrum-X Ethernet-based AI networking solutions for inference clusters requiring highbandwidth, low-latency connectivity. Specify ConnectX-8/7 HCA deployments and configure RDMA over Converged Ethernet (RoCEv2) or InfiniBand transport for NCCL collective operations. Integrate BlueField-3 DPUs for GPU-accelerated network functions, storage offload, zero-trust security isolation, and bare-metal provisioning. Design leaf-spine and fat-tree topologies for non-blocking bisectional bandwidth in GPU training clusters. Define Quality of Service (QoS) policies separating storage, compute fabric, and management plane traffic. Design high-performance parallel file system solutions using VAST Data, Hammerspace, and Pure Storage FlashBlade//E for AI training and checkpoint storage. Size storage capacity, IOPS, and throughput based on dataset characteristics, checkpoint frequency, and concurrent reader/writer counts. Architect multi-tier storage hierarchies: hot NVMe flash (VAST/FlashBlade) for active datasets, warm object storage for model archives, and cold tape/cloud for long-term retention. Configure VAST Data Universal Storage for disaggregated storage with NFS, S3, and POSIX access; tune for large sequential read performance. Deploy Hammerspace Global Data Environment for distributed data management and NFS-over-RDMA acceleration across geographically dispersed GPU clusters. Define data pipeline architectures ingesting from cloud object stores (S3, GCS, ABS) to local flash for GPU local data loading without I/O bottlenecks. AI Software Stack & Orchestration Deploy and configure NVIDIA AI Enterprise (NVAIE) software stack including NVIDIA GPU Operator, NIM microservices, and RAPIDS accelerated data science libraries. Architect inference serving infrastructure using NVIDIA NIM (NVIDIA Inference Microservices) for optimized LLM and vision model deployment with autoscaling. Implement NVIDIA Dynamo for distributed inference and disaggregated serving of large-scale generative AI models. Configure and optimize CUDA toolkit, cuDNN, NCCL communication libraries, and custom kernel environments for training workloads. Deploy Base Command Manager and DGXOS for cluster lifecycle management, node provisioning, health dashboards, and job scheduling integration. Integrate NVIDIA Mission Control for AI Factory operations, observability, and multi-cluster fleet management. Design and deploy Kubernetes-based AI platforms using NVIDIA GPU Operator, integrating with Run:ai for dynamic GPU resource scheduling and multi-tenant workload isolation. Configure SLURM workload manager for traditional HPC-style job scheduling on bare-metal GPU clusters, including preemption policies, fair-share scheduling, and burst-to-cloud integration. Establish MLOps toolchain integrations with popular frameworks (PyTorch, JAX, TensorFlow) and experiment tracking platforms (MLflow, Weights & Biases). Serve as primary technical point of contact throughout the pre-sales and delivery lifecycle, from initial discovery through post-deployment optimization. Produce and present architecture design documents, technical proposals, and executive-level briefings to CTO/CIO and VP-level stakeholders. Lead proof-of-concept (POC) and pilot deployments, including benchmark design, execution, and results analysis. Collaborate with procurement, logistics, and deployment teams to ensure on-time delivery of complex infrastructure programs. Provide post-deployment hypercare support, performance tuning, and capacity planning advisory services. Contribute to internal knowledge bases, solution playbooks, and reference architectures for repeatable AI Factory deployments. Candidates must demonstrate deep, hands-on expertise across the following technology domains: GPU Compute DGX B200 / B300, DGX H100 / H200, HGX B200 / B300, HGX H100 / H200, MGX platforms, GB300 NVL72 / GB200 NVL72, RTX PRO 6000 Blackwell Server Edition, NVLink Switch System, NVLink-C2C Networking NVIDIA Quantum InfiniBand (NDR 400G, HDR 200G), Spectrum‑X Ethernet, ConnectX‑8 / ConnectX‑7 HCAs, BlueField‑3 DPU, SHARP in‑network computing, UFM Fabric Manager, RDMA / RoCEv2 / InfiniBand Storage VAST Data Universal Storage (NFS/S3/POSIX), Hammerspace Global Data Environment, Pure Storage FlashBlade//E (Evergreen//One), NFS-over-RDMA, parallel file systems (Lustre, GPFS/WEKA), S3‑compatible object storage AI Software NVIDIA AI Enterprise (NVAIE), NIM Microservices, RAPIDS (cuDF, cuML, cuGraph), NVIDIA Dynamo, CUDA Toolkit, cuDNN, NCCL, TensorRT, Triton Inference Server. Base Command Manager, DGXOS, NVIDIA Mission Control, DGX Cloud, UFM, IPMI / Redfish BMC management. Orchestration Run:ai, SLURM, etc. Colocation Design and capacity planning for data center environments. Frameworks PyTorch, JAX, TensorFlow, Hugging Face Transformers, DeepSpeed, Megatron‑LM, vLLM, LMDeploy Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 8 years of solutions architecture, systems engineering, or technical pre-sales experience, with at least 4 years focused on GPU infrastructure or HPC environments. Proven track record designing and deploying NVIDIA DGX or HGX-based GPU clusters in production AI/ML environments. Deep understanding of distributed deep learning concepts: tensor parallelism, pipeline parallelism, data parallelism, gradient checkpointing, and mixed‑precision training. Hands‑on experience with InfiniBand or high-speed Ethernet fabric design, RDMA configuration, and collective communication tuning (NCCL, MPI). Direct experience sizing and deploying parallel storage systems (VAST, Hammerspace, or Lustre/WEKA/GPFS) for AI training workloads. Strong working knowledge of Kubernetes, GPU Operator, and at least one GPU workload scheduler (Run:ai or SLURM). Experience with Linux system administration, CUDA development environment configuration, and GPU driver/firmware management. Demonstrated ability to create compelling technical proposals, architecture diagrams (Visio/Lucidchart/draw.io), and BOM-level documentation. Exceptional communica

Tax Director - Americas (Los Angeles) (Los Angeles)

About the Team The Tax Team at ByteDance helps ensure company and products are tax‑compliant across regions and countries. It also supports internal requests and works with stakeholders to support product and business launches and new features. Role Overview We are seeking an experienced and strategic Americas Tax Leader to oversee tax compliance, tax risk management and tax planning across the Americas region (e.g. U.S., Canada, LATAM, etc.). This role reports directly to the Global International Head of Tax and collaborates closely with Finance, Legal, and Business teams to ensure tax efficiency, compliance, and strong business alignment in the region. Key Responsibilities Develop and implement the Americas regional tax strategy, ensuring compliance, optimizing tax positions, and aligning with global objectives. Oversee all aspects of regional tax operations, including direct and indirect taxes, tax audits, and effective implementation of headquarters’ tax policies and risk controls. Monitor and assess changes in tax laws and regulations (e.g., DST, VAT/GST), evaluate business impacts, and recommend proactive responses. Act as a tax business partner, collaborating with cross‑functional teams and business units across jurisdictions to provide practical, timely tax advice and support for new business initiatives and ongoing operations. Support M&A, business restructurings, and market expansions through tax due diligence, structuring, and risk mitigation, while managing relationships with external advisors and tax authorities. Drive operational excellence by standardizing tax processes, leveraging technology, strengthening internal controls, and leading the regional tax team’s development and cross‑functional business partnership. Minimum Qualifications Bachelor's degree or above in Taxation, Law, Accounting, Finance, or a related field. Over 5 years of progressive tax experience, including at least 5 years leading regional or multi‑country teams. Strong technical knowledge of US tax laws is required, along with familiarity with international tax frameworks (e.g., OECD BEPS initiatives, Pillar Two regulations, Global Minimum Tax). Proven expertise in managing complex cross‑border service transactions, intangible asset tax planning, and digital economy‑related tax compliance. Exceptional soft skills, with the ability to communicate clearly, persuasively, and effectively across all internal and external stakeholders, including business teams, finance, legal, and senior leadership. Comfortable operating in a fast‑paced, dynamic, and multicultural environment with high levels of ambiguity and change. Preferred Qualifications Experience managing tax operations within technology, or digital service industries. Working knowledge of Canadian and LATAM tax regimes. Prior experience in multinational corporations and/or Big Four accounting firms is highly desirable. Professional tax certifications such as Certified Public Accountant (CPA), Enrolled Agent (EA), or equivalent. Familiarity with tax platform and tools. Proficiency in Chinese is a plus to support stakeholders that are mainly based in Chinese‑speaking markets. Job Information The base salary range for this position in the selected city is $180,310 - $364,800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. Legal and Reasonable Accommodation Notice For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment. Reasonable Accommodation ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request. J-18808-Ljbffr

Manager, Software Engineering (Platform Services) (Salt Lake City)

O.C. Tanner is the global leader in software and services that improve workplace culture through meaningful employee experiences. Our Culture Cloud is a suite of apps designed to enhance the employee experience with strategic recognition, service awards, wellbeing, leadership, and events that help people thrive at work. Our Culture by Design approach provides expert services to organizations looking to create great workplaces. Our global team of 1,500 people hail from 58 countries and speak 62 languages. As programmers, researchers, designers, client professionals and craftspeople we create the tech, tools and awards that connect employees to purpose at thousands of companies. Join us as we help people all over the world thrive at work. Our Platform Services teams build the shared capabilities that enable product teams to move faster and operate reliably. Success in this role requires building strong partnerships across engineering while delivering secure, scalable platform services. Responsibilities Lead, hire, coach, and develop a high‑performing team of 5–10 software engineers, fostering accountability, technical excellence, collaboration, and continuous growth. Partner with Product Management, Quality Engineering, and cross‑functional engineering teams to plan, deliver, and operate shared platform capabilities that meet business needs. Guide the delivery and evolution of secure, scalable, and reliable platform services and APIs, partnering with Staff Engineers to ensure sound technical architecture. Champion operational excellence through observability, automation, incident response, security best practices, and continuous improvement. Collaborate with Staff Engineers and Architects to define technical direction, develop technology roadmaps, and modernise systems to meet current and future business needs. Balance the delivery of new capabilities with investments in platform reliability, engineering productivity, technical debt reduction, and long‑term maintainability. Required Experience 3 years leading and developing software engineering teams. 5 years delivering complex software systems in a professional engineering environment. Demonstrated ability to hire, coach, and develop engineers while fostering an inclusive, high‑performing team. Experience balancing product delivery, operational excellence, and technical debt. Strong understanding of distributed systems, cloud‑native architecture, and modern software engineering practices. Excellent written and verbal communication skills, with the ability to influence technical and business stakeholders. Preferred Experience Experience leading platform services, backend, or shared‑services teams. Experience building secure APIs, identity platforms, or other shared engineering services. Hands‑on experience with backend and cloud‑native technologies such as Java, Spring Boot, Kafka, GraphQL, SQL, Docker, Kubernetes, Redis, or public cloud platforms. Experience with highly available, distributed production systems. Experience with transactional systems, messaging, data integration, or financial systems. Experience mentoring senior engineers and emerging technical leaders. Education Requirements Bachelor's degree in computer science or related discipline. J-18808-Ljbffr

Senior Staff Engineer Growth (San Francisco)

About OKX OKX is a leading crypto exchange and the developer of OKX Wallet, providing millions with access to crypto trading and decentralized applications (dApps). OKX is trusted by large institutions seeking access to crypto markets and is backed by our Proof of Reserves. Across multiple offices, we are united by core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture and foster a friendly and diverse environment for every OK-er. About the team The Growth Team at OKX is a dynamic group of professionals dedicated to accelerating OKX’s expansion through innovative strategies, data-driven insights, and continuous optimization. By tackling intricate business logic at scale, tapping into emerging DeFi growth opportunities, and addressing globalization and localization challenges, the team drives impactful user acquisition, engagement, and retention across global markets. Responsibilities Collaborate with Product, Design, and Marketing teams to deliver rapid, cross-functional innovation Architect and maintain high-performance, highly available distributed services Explore emerging opportunities in DeFi to promote growth and bridge centralized and decentralized solutions Solve complex business logic challenges and drive improvements for global user experiences Provide guidance on best practices, conduct peer code reviews, and champion continuous improvement Requirements Current right to work in Singapore; no need for visa sponsorship Bachelor’s degree in Science, Technology, Engineering, or Mathematics Hands‑on experience in developing Microservices/APIs using Java, Spring Boot, and Spring Cloud Strong understanding of multi-threading and distributed architectures Proficiency in working with relational and NoSQL databases, messaging frameworks (e.g., Kafka), distributed caching solutions (e.g., Redis), and other essential tools Comfort working in a cloud-based Linux environment Familiarity with automated testing and continuous integration processes LI-OL1 LI-ONSITE Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants J-18808-Ljbffr