distributed systems engineer

ACR Technology Inc

<p><b>Job Title:</b> Principal Data Engineer</p><p><b>Location:</b> Bay Area, California (On Site)<br/><b>Job Type:</b> Full-Time (W2 Only)<br/><b>Experience Required:</b> 5+ Years</p><p><b>Job Description</b></p><p>We are seeking a highly experienced <b>Principal Engineer</b> to design and build scalable <b>data platforms and distributed systems</b>. This role combines <b>data engineering, backend development, and modern front-end technologies</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Develop backend services using <b>Java and Spring Boot</b></li><li>Design <b>distributed systems and event-driven architectures (Kafka)</b></li><li>Build front-end applications using <b>React and TypeScript</b></li><li>Develop and maintain <b>ETL/ELT pipelines</b> (Azure, Databricks, Snowflake)</li><li>Lead <b>cloud migration from SQL Server to Azure (ADF, Synapse, ADLS)</b></li><li>Build <b>batch and streaming pipelines using Spark</b></li><li>Design <b>data warehouses, lakehouses, and data marts</b></li><li>Implement <b>REST/GraphQL APIs</b></li><li>Ensure system performance, scalability, and reliability</li><li>Establish <b>data quality, monitoring, and CI/CD processes</b></li></ul><p><b>Required Skills</b></p><ul><li>Strong experience with <b>Java, Spring Boot</b></li><li>Hands-on experience with <b>Kafka and distributed systems</b></li><li>Experience with <b>React, TypeScript, JavaScript, HTML, CSS</b></li><li>Advanced SQL and data modeling skills</li><li>Experience with <b>Azure (ADF, Synapse, ADLS)</b></li><li>Hands-on with <b>Databricks, Snowflake, or BigQuery</b></li><li>Programming in <b>Python (PySpark) or Scala</b></li><li>Experience with <b>Spark (batch and streaming)</b></li></ul><p><b>Preferred Skills</b></p><ul><li>Healthcare data experience (HL7, FHIR, HIPAA)</li><li>Kubernetes and Docker</li><li>Observability tools (Prometheus, Grafana, ELK)</li><li>Experience with AI/ML integrations</li></ul><p><b>Work Authorization</b></p><p>All visas accepted <b>except H1B</b></p><p><b>How to Apply</b></p><p>Interested candidates can apply by sending their resume to:<br/><b>devang@acrtechnology.com</b></p><p>Pay: $100,977.39 - $125,650.19 per year</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Santa Clara, CA 95056: Relocate before starting work (Required)</li></ul><p>Work Location: In person</p>

Staff Data Engineer

2P Perfect Presentation

<div>
 <p>
  Description
 </p>
 <p>
  We are seeking a Senior Full-Stack Engineer (.NET focused) to design, build, and maintain scalable, distributed software systems across backend, frontend, and infrastructure layers. The role involves developing framework-level components, working in niche and high-complexity domains, and contributing to architecture and platform decisions. The ideal candidate has strong experience in .NET-based systems, distributed architectures, message-driven systems, and modern frontend frameworks, with hands-on exposure to Aspire orchestration. This role requires a senior engineer capable of owning technical solutions end-to-end, from design through production deployment.
 </p>
 <p>
  Requirements
 </p>
 <p>
  Experience
 </p>
 <p>
  Minimum 8+ years of professional software development experience
 </p>
 <p>
  Proven experience building and maintaining large-scale, distributed systems
 </p>
 <p>
  Strong ability to work independently and own technical decisions
 </p>
 <p>
  Backend / .NET
 </p>
 <p>
  Strong hands-on experience with .NET (C#) in production environments
 </p>
 <p>
  Experience using ORMs including Entity Framework (EF / EF Core)
 </p>
 <p>
  Experience using Dapper for high-performance data access
 </p>
 <p>
  Strong knowledge of SQL Server
 </p>
 <p>
  Strong knowledge of PostgreSQL
 </p>
 <p>
  Experience with NoSQL databases such as MongoDB and/or Cassandra
 </p>
 <p>
  Strong understanding of SQL performance tuning, indexing, and transactions
 </p>
 <p>
  Distributed Systems &amp; Messaging
 </p>
 <p>
  Experience designing and implementing queueing systems
 </p>
 <p>
  Experience with message brokers (e.g., RabbitMQ, Kafka, Azure Service Bus, AWS SQS, or equivalents)
 </p>
 <p>
  Experience building message bus abstractions
 </p>
 <p>
  Experience with event-driven architectures
 </p>
 <p>
  Knowledge of event stores and event-based data modeling
 </p>
 <p>
  Experience implementing retry strategies, idempotency, and dead-letter queues (DLQ)
 </p>
 <p>
  Caching &amp; Background Processing
 </p>
 <p>
  Hands-on experience with distributed caching using Redis
 </p>
 <p>
  Hands-on experience with Memcached
 </p>
 <p>
  Experience designing and maintaining background jobs and workers
 </p>
 <p>
  Experience with job scheduling and long-running processes
 </p>
 <p>
  Orchestration &amp; Frameworks
 </p>
 <p>
  Hands-on experience with Aspire framework
 </p>
 <p>
  Experience with service orchestration and resource configuration
 </p>
 <p>
  Experience building custom frameworks, shared libraries, or platform components
 </p>
 <p>
  Frontend
 </p>
 <p>
  Strong experience with Angular 17+
 </p>
 <p>
  Experience using Angular Material
 </p>
 <p>
  Experience using Tailwind CSS
 </p>
 <p>
  Experience using Bootstrap
 </p>
 <p>
  Experience creating reusable UI components and templates
 </p>
 <p>
  Understanding of frontend architecture patterns
 </p>
 <p>
  Knowledge of micro-frontend architectures
 </p>
 <p>
  DevOps &amp; Engineering Practices
 </p>
 <p>
  Experience working with CI/CD pipelines
 </p>
 <p>
  Strong knowledge of Git version control workflows
 </p>
 <p>
  Understanding of Software Development Life Cycle (SDLC)
 </p>
 <p>
  Experience working with environment-based deployments
 </p>
 <p>
  Core Engineering Principles
 </p>
 <p>
  Strong understanding of Object-Oriented Programming (OOP)
 </p>
 <p>
  Strong understanding of data structures and algorithms
 </p>
 <p>
  Strong understanding of design patterns (Factory, Singleton, Builder, Repository, Unit of Work, IoC)
 </p>
 <p>
  Strong understanding of dependency injection principles
 </p>
 <p>
  Strong understanding of architectural patterns (Microservices, SOA, Modular Monolith, CQRS, Event Sourcing)
 </p>
 <p>
  Strong understanding of queueing systems and messaging patterns
 </p>
 <p>
  Cloud (Plus)
 </p>
 <p>
  Experience with Azure is a plus
 </p>
 <p>
  Experience with AWS is a plus
 </p>
 <p>
  Experience with Google Cloud Platform (GCP) is a plus
 </p>
</div>


Senior Full-stack Engineer

True Anomaly

<div><div><p>A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability.</p>
<p>
OUR MISSION</p>
<p>
The peaceful use of space is essential for continued prosperity on Earth&mdash;from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all.</p>
<p>
OUR VALUES</p>
<ul>
<li><i>Be the offset. </i>We create asymmetric advantages with creativity and ingenuity</li>
<li><i>What would it take?</i> We challenge assumptions to deliver ambitious results</li>
<li><i>It&rsquo;s the people.</i> Our team is our competitive advantage and we are better together</li>
</ul></div><div><p>
YOUR MISSION<b>
</b></p><p>Software is the central nervous system for True Anomaly's engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking an exceptional Staff Elixir Software Engineer to lead the technical direction and evolution of our distributed spacecraft ground control system.</p>
<p>
This is a high-impact, strategic leadership role. You'll define and drive the backend systems technical roadmap, lead cross-functional initiatives that span engineering, product, and operations, and establish the architectural foundations that will scale our distributed ground control platform for years to come. You'll identify strategic technical investments, champion them across the organization, and lead their execution. You won't just build features; you'll shape the product direction, influence company objectives, and mentor the engineers who will build the next generation of our platform. When you see systemic issues affecting reliability, velocity, or quality, you'll diagnose root causes, build consensus around solutions, and drive organizational change to address them.<br>
<br>
You do not need to have experience building space ground systems or experience in aerospace. You'll lead high-priority, greenfield initiatives with strategic importance to the company and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package.</p>
<p><b>
RESPONSIBILITIES</b></p>
<ul>
<li>Lead and deliver large-scale, cross-functional distributed systems initiatives that align with strategic company objectives, from technical vision through production deployment and long-term evolutio</li>
<li>Define and drive the Elixir/OTP systems roadmap and architectural strategy, establishing patterns, frameworks, and infrastructure that enable the entire engineering organization to move faste</li>
<li>Serve as the primary technical decision-maker for distributed systems architecture, evaluating and adopting new technologies, and establishing engineering standards that balance innovation with maintainabilit</li>
<li>Proactively identify systemic reliability risks, scalability challenges, and architectural limitations, then build business cases, secure buy-in, and lead multi-quarter initiatives to address the</li>
<li>Elevate the engineering organization through technical mentorship, establishing best practices, leading design reviews, and developing the skills of senior, mid-level, and junior engineer</li>
<li>Partner with executive leadership, product, design, frontend engineering, space operations, and astrodynamics teams as a key technical stakeholder, influencing product strategy and company directio</li>
<li>Drive engineering efficiency and excellence by establishing metrics, tooling, and processes that improve system reliability, deployment velocity, and developer experienc</li>
<li>Build and maintain technical documentation, architectural decision records, and knowledge-sharing systems that scale organizational learnin</li>
<li>Represent the distributed systems engineering perspective in strategic planning, resource allocation, and cross-company technical decision</li>
<li>Identify and develop emerging technical leaders within the team, creating growth pathways and opportunities for engineers to expand their impact</li>
</ul>
<p> <b>WHAT SUCCESS LOOKS LIKE IN THIS ROLE</b></p>
<ul>
<li>You recognize that the team is repeatedly solving similar distributed systems problems in different ways; you design and champion a unified framework, drive its adoption across teams, and measure its impact on velocity and reliability</li>
<li>You identify a fundamental scalability limitation in the ground control architecture before it becomes a crisis; you build a compelling case with data, present it to leadership, secure a quarter of engineering time, and lead the migration</li>
<li>You're involved in early product strategy discussions, not just implementation; you're shaping what we build by contributing technical insights about feasibility, risk, and opportunity</li>
<li>A critical production issue arises affecting spacecraft operations; you quickly establish incident command, coordinate the response across teams, drive it to resolution, and lead the post-mortem that prevents recurrence</li>
<li>You see a pattern of distributed systems decisions being made in isolation; you establish a lightweight architectural review process that improves decisions while respecting team autonomy</li>
<li>You're asked about the 6-month backend systems roadmap and can articulate not just what's being built, but why it matters, what success looks like, what the risks are, and what alternatives were considered</li>
<li>Junior and mid-level engineers come to you not because they're stuck on a problem, but because they want to validate their architectural thinking; and you help them grow as technical decision-makers</li>
<li>You notice the team is spending significant time on a particular class of reliability issue; you trace it to a root architectural cause, propose a fundamental rework, and lead its implementation</li>
<li>You disagree with a strategic product or technical decision being made at the executive level; you present a well-researched alternative with clear tradeoffs and business impact, influencing the final direction</li>
</ul>
<p> <b>QUALIFICATIONS</b></p>
<ul>
<li>12+ years of software development experience</li>
<li>Expert-level mastery of Elixir and OTP, including deep understanding of BEAM internals, scheduling, memory management, garbage collection, process architecture, and runtime characteristics at scale</li>
<li>Deep expertise in designing, building, and evolving large-scale distributed systems, including architectural patterns for fault tolerance, consistency, availability, clustering, and horizontal scalability</li>
<li>Proven track record of establishing comprehensive testing strategies across unit, integration, property-based, and end-to-end layers, including championing testing culture and tooling adoption</li>
<li>Extensive experience designing, building, and evolving service architectures, libraries, and internal infrastructure that serve multiple teams and products</li>
<li>Expert-level understanding of distributed systems integration patterns including gRPC, REST, WebSockets, and GraphQL, with experience influencing API design and cross-service architecture decisions</li>
<li>Demonstrated ability to work full-stack when necessary, with enough frontend and infrastructure knowledge to make informed architectural decisions and unblock teams</li>
<li>History of leading technical initiatives in Git-based workflows, establishing code review standards, and fostering collaborative engineering culture</li>
<li>U.S. Citizen and eligible for DoD Secret or TS/SCI clearance</li>
</ul>
<p><b>PREFERRED SKILLS AND EXPERIENCE</b></p>
<ul>
<li>Bachelor&rsquo;s degree in computer science or similar discipline</li>
<li>Proven experience as a technical lead, staff engineer, or principal engineer on production systems with significant user load and business-critical requirements</li>
<li>Deep mastery of OTP including BEAM scheduling, GenServers, run queues, pg, the Actor model, dynamic supervisors, registries, distributed process groups, and custom OTP behaviours, with experience pushing the boundaries of the runtime</li>
<li>Track record of leading large-scale migrations, architectural overhauls, or platform rewrites while maintaining product velocity and system reliability</li>
<li>Deep expertise building and optimizing complex, real-time distributed systems with demanding reliability and performance requirements (real-time telemetry processing, mission-critical command and control, large-scale data pipelines)</li>
<li>Advanced experience with database design and optimization at scale, including PostgreSQL internals, replication strategies, and data modeling for distributed systems</li>
<li>Extensive experience with monitoring, observability, and distributed tracing in production systems, including designing observability strategies and incident response frameworks</li>
<li>Experience in highly regulated industries (aerospace, defense, healthcare, finance) with understanding of compliance, security, and operational constraints</li>
<li>Published technical writing, open source contributions, or conference speaking that demonstrates thought leadership</li>
<li>Exceptional communication skills that enable you to influence technical and non-technical stakeholders at all levels of the organization</li>
</ul>
<p><b>COMPENSATION</b></p>
<ul>
<li><b>Colorado Base Salary: </b>$180,000 - $250,000</li>
<li><b>California Base Salary:</b> $185,000 - $260,000</li>
<li><b>Equity + Benefits</b> including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave</li>
</ul>
<p><i>Your actual level and base salary will be </i><i>determined</i><i> on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.</i></p>
<p><b>
ADDITIONAL REQUIREMENTS</b></p>
<ul>
<li><b>Work Location</b>&mdash;This is an onsite role, we are seeking candidates based near Denver, CO or Long Beach, CA.</li>
<li><b>Work environment</b>&mdash;the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.</li>
<li><b>Physical demands</b>&mdash;the physical demands of the job, including bending, sitting, lifting and driving.</li>
</ul>
<p>This position will be open until it is successfully filled. To submit your application, please follow the directions below.
<br>
#LI-Onsite</p></div><div><p>
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.</p>
<p>
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.</p></div></div><p></p>

Staff Software Engineer, Elixir

Waymo

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 <br/>
 <br/>
 The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.
 <br/>
 <br/>
 We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.
 <br/>
 <br/>
 <em>
  In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.
  <br/>
  <br/>
 </em>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and report on ML resource (compute, storage, accelerators) usage, costs, and efficiency trends across different teams and projects.
  </li>
  <li>
   Develop, maintain, and improve dashboards and tools for monitoring key resource metrics and providing actionable insights.
  </li>
  <li>
   Identify and investigate opportunities for resource optimization, cost reduction, and performance improvements in ML workflows.
  </li>
  <li>
   Support and guide ML engineers and researchers on best practices for resource utilization
  </li>
  <li>
   Contribute to the development, documentation, and enforcement of resource management policies and best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
  </li>
  <li>
   Experience with distributed systems principles and experience building distributed systems for production environments.
  </li>
  <li>
   Solid Python or C++ skills
  </li>
  <li>
   Experience monitoring, debugging, and troubleshooting complex distributed systems
  </li>
  <li>
   Experience communicating updates and resolutions to customers and other partners
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with compute and storage management for medium to large organizations
   <br/>
   <br/>
  </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 <br/>
 <br/>
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $170,000&mdash;$216,000 USD
 <br/>
 <br/>
</div>


Machine Learning Engineer, ML Resources

Lucidya | لوسيديا

<div>
 Lucidya is a leading AI-powered Customer Experience Management (CXM) platform in the MENA region, enabling enterprises to understand, engage, and serve customers across digital channels at scale.
 <br/>
 <br/>
 As we move toward IPO-scale, we are rebuilding parts of our platform to achieve:
 <br/>
 <br/>
 <ul>
  <li>
   Extreme reliability (SLO-driven engineering)
  </li>
  <li>
   High-scale distributed processing (billions of data points)
  </li>
  <li>
   AI-native architecture (LLM + real-time intelligence)
   <br/>
   <br/>
  </li>
 </ul>
 We don't optimize for titles, we optimize for impact! Whether you are junior or senior doesn't matter and what matters is your ability to move faster and think deeper than the average engineer. We operate with extreme ownership. Problems don't belong to teams or tickets where they belong to whoever sees them. The right person for this role doesn't walk past a broken system. If something is failing, you fix it even if it's not "your job."
 <br/>
 <br/>
 <strong>
  What You Will Work On
  <br/>
  <br/>
 </strong>
 <strong>
  Microservices &amp; Distributed Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and operate high-throughput, event-driven pipelines across a 100+ microservice ecosystem handling billions of data points
  </li>
  <li>
   Build and scale distributed messaging systems with RabbitMQ, backpressure management, consumer scaling, and queue health
  </li>
  <li>
   Develop and maintain API gateway layers with advanced routing (multi-upstream, traffic splitting, environment isolation)
  </li>
  <li>
   Architect SSO and identity federation for enterprise clients, supporting multi-IdP routing with zero coupling to core services
  </li>
  <li>
   Define clean service boundaries across ingestion, processing, and delivery pipelines spanning Ruby and Python
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Performance &amp; Systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Diagnose and resolve complex production issues (e.g., deadlocks, queue exhaustion, connection pool saturation) &mdash; and eliminate root causes
  </li>
  <li>
   Optimize PostgreSQL for heavy write workloads, contention management, schema design, triggers, and connection scaling
  </li>
  <li>
   Design and tune Elasticsearch for search, indexing, and real-time Arabic relevance at scale
  </li>
  <li>
   Make informed trade-offs between multi-process and async architectures based on workload characteristics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Observability &amp; Reliability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain observability across a large-scale system using Grafana, Loki, distributed tracing, and SLOs
  </li>
  <li>
   Own production incidents end-to-end, tracing failures across queues, search systems, and external integrations
  </li>
  <li>
   Lead root cause analysis and implement preventative measures across multi-service pipelines
  </li>
  <li>
   Build internal tooling that improves engineering velocity, automation, deployment gating, and review enforcement
  </li>
  <li>
   Turn architectural principles into enforceable standards and guardrails, not just documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Platform Evolution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive platform decoupling and service isolation across the system
  </li>
  <li>
   Contribute to Kubernetes migration and infrastructure modernization
  </li>
  <li>
   Standardize and improve CI/CD pipelines across services
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stack
  <br/>
  <br/>
 </strong>
 Ruby on Rails
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   Elasticsearch
  </li>
  <li>
   Redis
  </li>
  <li>
   RabbitMQ
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   AWS / GCP
  </li>
  <li>
   APISIX
  </li>
  <li>
   Grafana + Loki
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong foundation in distributed systems. You understand failure modes before you write the first line
  </li>
  <li>
   Hands-on experience with event-driven architecture and message queues in production
  </li>
  <li>
   Deep comfort with concurrency, backpressure, and fault tolerance
  </li>
  <li>
   Track record debugging complex production issues &mdash; not just fixing them, preventing them
  </li>
  <li>
   Experience with Rails or Python backends at meaningful scale
  </li>
  <li>
   You improve systems you weren't asked to touch
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Role is a Strong Fit If You...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Read and understand an existing codebase by week one
  </li>
  <li>
   See a broken system and fix it before anyone asks you to
  </li>
  <li>
   Have strong opinions about architecture and can back them up with data
  </li>
  <li>
   Think in systems: latency, throughput, failure modes, and cost at scale
  </li>
  <li>
   Treat documentation, tests, and observability as non-negotiable defaults and not afterthoughts
  </li>
  <li>
   Ship fast and without breaking things. Speed and quality are not a trade-off for you
  </li>
  <li>
   Consistently exceed expectations where meeting the bar is a floor, not a target
  </li>
  <li>
   Are hungry for hard challenges and actively seek problems at the edge of your limits
  </li>
  <li>
   Feel a sense of urgency that doesn't require external pressure
  </li>
  <li>
   Have rebuilt or stabilised something significant and can talk about it concretely
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Lucidya
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Real scale with billions of events and not just toy systems
  </li>
  <li>
   Direct impact at CTO and executive level
  </li>
  <li>
   Pre-IPO with clear trajectory and your work has real impact on clients
  </li>
 </ul>
</div>


10x Software Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Data &amp; AI Engineer
</div><div>Experience Required - 10+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div> <ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
</li></ul><ul><li> AI engineers with recent NodeJS/Javascript/Typescript experience
</li></ul><ul><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
</li></ul><ul><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li></ul><ul><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
</li></ul><ul><li> Fluency with AI-assisted and agentic development workflows.
</li></ul><ul><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
</li></ul><ul><li> Ability to influence technical direction and align teams without formal authority.
</li></ul><ul><li> Experience in workflow engines, async processing, queues, and streaming systems.
</li></ul><ul><li> Languages: NodeJS/Javascript/Typescript,Python, Go,
</li></ul><ul><li> APIs and services: REST, gRPC
</li></ul><ul><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes
</li></ul><ul><li> Distributed systems: event-driven architectures, including Kafka
</li></ul><ul><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
</li></ul><ul><li> Integration of commercial and open-source LLMs into agentic workflows
</li></ul><ul><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
</li></ul><ul><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow
</li></ul><ul><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><ul><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
</li></ul><ul><li> Design, build, and operate production-grade agentic AI systems used across multiple products.
</li></ul><ul><li> Own and evolve shared agentic AI capabilities, including:
</li></ul><ul><li> Agent frameworks and orchestration layers
</li></ul><ul><li> Planning, tool use, and memory strategies
</li></ul><ul><li> Retrieval and grounding (RAG) pipelines
</li></ul><ul><li> LLM infrastructure, inference, and model gateways
</li></ul><ul><li> Evaluation, observability, and safety tooling for au tonomous systems
</li></ul><ul><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
</li></ul><ul><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
</li></ul><ul><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
</li></ul><ul><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<div><br>
</div><div>Base Salary Range : $90,000 to $120,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>407237</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Big Data | Node JS</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

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