Automation Tester

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.

You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.

What You Will Do:

Backend Development (Golang & Python)

• Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
• Architect for horizontal scalability, fault tolerance, and low-latency at scale
• Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines

Scalable Architecture & System Design

• Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
• Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover

ClickHouse & Analytical Data Infrastructure

• Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
• Design optimal table engines, partition strategies, materialized views, and query patterns
• Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations

Cost Efficiency & Cost Optimization

• Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
• Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering

Linux Server Management & Infrastructure

• Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
• Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
• Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed

Data, Storage & Scheduling

• Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
• Build and maintain cron jobs, scheduled tasks, and batch processing systems

Uptime, Reliability & Observability

• Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
• Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
• Drive incident response, root cause analysis, and post-mortems

Required Qualifications:

Must-Have (Critical)

• Deep proficiency in Golang (primary) and Python
• Proven ability to design and build scalable, distributed architectures
• Production experience deploying and operating ClickHouse at scale
• Track record of driving measurable cost efficiency and cost optimization
• 5+ years in backend engineering and infrastructure roles

Also Required

• Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
• Proven uptime and reliability track record across production infrastructure
• Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
• VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
• Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Cron jobs, batch processing, data archival, cold storage management
• Networking fundamentals (DNS, TCP/IP, load balancing, TLS)

Nice to Have

• AWS, GCP, or other major cloud provider experience
• Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
• Data pipelines (Airflow, dbt); FinOps practices
• Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)

What We Offer

• Remote, contractual role
• Flexible time zones (overlap for standups + incident coverage)
• Competitive contract compensation + equity
• Long-term engagement opportunity based on performance

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience
• Developing ideas for new programs, products, or features by monitoring industry developments and trends
• Recording data and reporting it to proper parties, such as clients or

  • leadership

• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members
• Taking lead on projects, as

What You'll Do


You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:

• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable data modeling, data queries and API development for both back-end and front-end data interfaces.
• You will support client specific data processing needs using SQL and Python/Pyspark
• You will integrate our product with other data products through Django APIs
• You will partner with other team members in understanding the functional / non-functional business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions

Who you are


• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in data queries, data processing and data modeling
• Excellent ANSI SQL skills to handle complex queries
• Excellent Python and Django programming skills.
• Strong knowledge and experience in modern and distributed data stack components such as the Spark, Hive, Airflow, Kubernetes, Docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Familiarity with ML models is highly preferred
• Experience with Big Data processing and performance optimization
• Should know how to write modular, optimized and documented code.
• Should have good knowledge around error handling.
• Experience in version control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.

Good to have some exposure to

• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams

What You'll Love About Us – Do ask us about these!

• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors